Location: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Applications are now open for our January cohort -
apply here by October 30.
Anthropic Fellows Program overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a
public output
(e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.
What to expect
4 months of full-time research
Direct mentorship from Anthropic researchers
Access to a shared workspace (in either Bay Area, California, Toronto, Canada, or London, UK)
Connection to the broader AI safety and security research community
Weekly stipend of 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR + benefits (these vary by country)
Funding for compute (~$15k/month) and other research expenses
Interview process
The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Compensation
The expected base stipend for this role is 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR per week, with an expectation of 40 hours per week for 4 months (with possible extension).
Across the workstreams, you may be a good fit if you:
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
Have a strong technical background in computer science, mathematics, or physics
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also have:
Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
Experience in areas of research or engineering related to their workstream
Candidates must be:
Fluent in Python programming
Available to work full-time on the Fellows program
AI Safety Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Sam Bowman
Sara Price
Alex Tamkin
Nina Panickssery
Trenton Bricken
Logan Graham
Jascha Sohl-Dickstein
Joe Benton
Collin Burns
Fabien Roger
Samuel Marks
Kyle Fish
Ethan Perez
Our mentors will lead projects in select AI safety research areas, such as:
Scalable Oversight:
Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control:
Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms:
Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.
Model Internals / Mechanistic Interpretability:
Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
AI Welfare:
Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
On our
Alignment Science
and
Frontier Red Team
blogs, you can read about past projects, including:
Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data:
Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans
Open-source circuits:
Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey
For a full list of representative projects for each area, please see these blog posts:
Introducing the Anthropic Fellows Program for AI Safety Research
,
Recommendations for Technical AI Safety Research Directions
.
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Are motivated by reducing catastrophic risks from advanced AI systems
Have experience with empirical ML research projects
Have experience working with large language models
Have experience in one of the research areas mentioned above
Have a track record of open-source contributions
AI Security Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Nicholas Carlini
Keri Warr
Evyatar Ben Asher
Keane Lucas
Newton Cheng
On our
Alignment Science
and
Frontier Red Team
blogs, you can read about some past Fellows projects, including:
AI agents find $4.6M in blockchain smart contract exploits:
Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng
Strengthening Red Teams: A Modular Scaffold for Control Evaluations:
Chloe Loughridge et al., mentored by Jon Kutasov and Joe Benton
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Are motivated by reducing catastrophic risks from advanced AI systems
Have contributed to open-source projects in LLM- or security-adjacent repositories
Have demonstrated success in bringing clarity and ownership to ambiguous technical problems
Have experience with pentesting, vulnerability research, or other offensive security work
Have a demonstrated willingness to do the "dirty work" that produces high-quality outputs
Have reported CVEs or been awarded bug bounties
Have experience with empirical ML research projects
Have experience with deep learning frameworks and experiment management
Logistics
Logistics Requirements:
To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations:
We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit.
We are also open to remote fellows in the UK, US, or Canada
. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.
Visa Sponsorship:
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration:
The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
Please note:
We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.
Applications and interviews are managed by
Constellation
, our recruiting and program partner. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities-focused projects in future rounds.
Apply here by October 30.
The below are Anthropic's policies for full-time roles. These do
NOT
apply to the Fellows Program.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level.
As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly.
This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level.
Responsibilities
Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders
Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact
Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion
You may be a good fit if you have
8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience
Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases
What will make you stand out
Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Developer Experience:
You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them.
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 6 years of practical full-stack engineering experience
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are technically proficient in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are a technical expert in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Care deeply in investing in the mentorship and growth of your peers
Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential:
Platform Intelligence:
You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
We are hiring founding engineers for these two pillars. We are looking for engineers who have good product and business sense to drive strategy, dive into different stacks, and break through walls to drive these 0 -> 1 efforts. You'll be working closely with product, design, GTM, FDE, and other internal & external customers to build out and deliver on the strategy.
Platform Serving:
You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.
Developer Experience:
You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers.
Agentic Systems:
You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production.
Auth & Identity:
We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Platform Distribution:
The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.
Enterprise Foundations:
We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.
Platform Safety:
We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API,
Claude.ai
, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.
You Might Be a Good Fit If You:
Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent
Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution
Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products
Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems
Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use
Care deeply about investing in the mentorship and growth of your peers
Have experience with distributed systems, API design, and cloud infrastructure at scale
Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
Are proficient in Python, Go, Rust, or similar systems languages
Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Care about building systems that other engineers love to use
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Aalborg, Denmark
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Calling all team-players - are you looking for a flexible role that could shape the future of retail? If so, then let’s talk!
We are looking for part-time Grocery Associates to join our Wolt Market team in
Aalborg, Denmark!
🤩
What you’ll be doing
Taking in orders through our Merchant app
Picking and packing groceries, and handing them to customers and courier partners
Unloading food and supplies that we receive from vendors
Managing our internal systems which include precise information about nutrients and allergens
Maintaining order and cleanliness of the store
Our humble expectations
You are proactive and a fast learner with the ability to multitask
This is a student-friendly role offering flexible, part-time working hours.
Flexible shifts, including evenings and weekends.
Experience from working in a grocery store is an advantage.
Fluent English. Danish is a plus!
You have the right to work in Denmark
What you’ll get by joining us:
Wolt credits cashback benefit
Employee assistance program
Wolt-wide training programs
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on a n on-going basis, so send through your application along with your CV as soon as possible! 💙
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an Enterprise Customer Success Manager for Industries, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Entertainment, Insurance, Manufacturing and Retail organizations—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll work with organizations across diverse industries that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering
Experience working with enterprises in teleco, media, retail, industrial, business services
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not.
This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partner Sales and work closely with Sales, Solutions Architecture, Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients.
Responsibilities:
Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes
Build relationships across multiple levels of the partner organization — from practice leads and delivery teams to alliance executives — and serve as their primary point of contact at Anthropic
Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets
Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team
Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively
Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them
Gather signal from partner interactions — what's landing, what's missing, where clients are pushing back — and feed it into product and go-to-market planning
Contribute to the development of partner sales processes, playbooks, and best practices as the function scales
You may be a good fit if you have:
7+ years of experience in partner sales, channel sales, alliances, business development or direct sales at a technology company where partners are heavily involved
A demonstrated track record of driving revenue through partners — you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction
Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead
Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them
Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives
A collaborative working style — you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned
Comfort with ambiguity and a willingness to create structure where it doesn't yet exist
Willingness to travel to support partner relationships and joint customer engagements
A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly
Strong candidates may also have:
Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology
A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion
Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design
Experience managing partner relationships across multiple geographies
A history of being an early member of a partner sales function and helping it scale
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.
The platform team is comprised of three key areas:
Enterprise fabric
– where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements.
Frontier capabilities
– where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence.
Agentic platform
– where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents.
Responsibilities:
Customer Understanding & Advocacy
Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
Run regular feedback sessions and technical reviews with key enterprise customers
Build strong relationships with enterprise development teams to understand their workflows and challenges
Transform customer insights into actionable product requirements and priorities
Product Strategy & Vision
Define and execute the enterprise API strategy, balancing security requirements with developer experience
Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
Identify and prioritize key enterprise integration patterns that drive organizational value
Enterprise API Development
Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
Design and implement enterprise integration frameworks and SDKs for common enterprise systems
Drive development of industry-specific API features and compliance capabilities
Cross-functional Leadership
Partner with sales and customer success to understand enterprise requirements and support technical evaluations
Work closely with security and compliance teams to meet enterprise standards
Collaborate with platform teams on API architecture and scalability
Engage with marketing to develop enterprise API positioning and technical materials
Minimum Qualifications
You may be a good fit if you:
Have built or shipped products
with
a hyperscaler as a partner — you know how to align goals and deliver impact across that boundary.
Have owned a revenue number, a margin target, or a channel P&L — not just a product roadmap.
Operate with high autonomy in ambiguous, fast-moving environments.
Are an excellent written communicator and able to drive clarity out of complexity.
Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organization.
Preferred Qualifications
Strong candidates may also have:
Have 10+ years of experience in high-scale, high-reliability developer-facing software.
Have 5+ years of product management experience.
Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
Direct experience as a PM at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$305,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
Summary
GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that.
Finding senior research staff is a hard problem for a couple reasons:
The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes.
Our process is very competitive. The offer rate for senior research roles is less than one in a thousand.
We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster.
The role
You'd work closely with our manager, research recruiting and the team to own recruiting for some of our
Researcher
, Program Officer,
Senior Researcher
, and Senior Program Officer roles.
Your time split will vary depending on team needs and your interests, but might look something like this:
Pipeline management, moving things forward: 35%
Coordination and communication with e.g. hiring managers and work test graders: 15%
Process improvements: 10%
Application review: 10%
Conducting and evaluating interviews: 10%
Sourcing and outreach: 10%
Candidate communication and closing: 10%
A few strategic problems we’ll want you to think about:
After candidates apply, is our assessment process effective?
Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed.
Where do we even find good candidates?
The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own).
How can we use data to make better decisions?
Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it.
What are ways our hiring process could be much better?
This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information?
You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition.
About you
You’re excited about GiveWell's mission and methods.
You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different.
You’re careful and truth-seeking with your beliefs.
For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things.
You're unusually curious and analytical.
When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident.
You have very high standards.
We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar.
You’re entrepreneurial and high agency.
You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan.
You're direct.
You say what you actually think even when it's uncomfortable.
You’re good at communicating in writing.
You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo.
If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply.
Qualifications
We care much more about the qualities described above than any specific background. That said, some things that might help:
Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization
Comfort with data — spreadsheets and basic quantitative analysis
Strong written communication
Experience working closely with executive-level leadership
Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required
Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org.
Key Questions
What are some of the reasons I might not like this role?
You’ll be running hiring rounds from start to finish.
We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines.
GiveWell has a unique approach to hiring,
and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.”
You’ll need to deeply understand our work and culture to succeed.
We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates.
You will be expected to hunt, not just farm.
While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in.
You’ll be collaborating with leaders with high expectations.
We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results.
What does growth look like in this role?
GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader.
What does this interview process entail?
We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like:
Simulating a hiring manager intake conversation
Walking through a sourcing strategy for a hard-to-fill role
Reviewing a job description or process and offering a critique
Writing a candidate outreach email or internal communication
We'll share more specific details if we invite you to move forward, but our current plan is:
Screen with a member of the Talent Acquisition team
Work trial(s), which might include live conversations and written work
A combined achievements, values, and technical interview with the Manager, Research Recruiting
References
Team structure
This role sits on GiveWell's Research team and reports to our Manager of Research Recruiting. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation.
We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context.
The details
Compensation:
NYC or the San Francisco Bay Area: $149,600
All other U.S. and international locations: $136,000
Benefits:
Our
benefits
include (in the US):
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we’d encourage you to check back and apply again for a role you’re eligible for.
Visa sponsorship:
We are not currently able to sponsor visas for this role.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Location: New York City, NY | Seattle, WA; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions.
Responsibilities:
Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes
Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize
Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions
Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value
Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses
Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations
Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions
Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow
You may be a good fit if you:
Have extensive experience in data science, including leading analytics for a growth or product area at significant scale
Have 5+ years managing data science teams, including setting team direction and developing senior data scientists
Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision
Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information
Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work
Communicate clearly in writing and in presentations, including to executive audiences
Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
Care about the company’s mission of building helpful, honest, and harmless AI
Strong candidates may also have:
Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling
Experience with targeting, personalization, or uplift models in production
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Brazil
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
*This is a remote role and can be performed anywhere in Brazil/Colombia*
The Role
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here.
This role is designed for candidates with experience
building
and
improving
deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas:
Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows)
RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses)
Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video)
STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis)
Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data)
What You'll Do
1) Own data and environment quality from an AI researcher perspective
Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics.
Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work.
Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude).
Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts.
Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections.
2) Design and build datasets and RL environments for your capability area(s)
Contribute to or lead the design of:
Task suites (single-step and long-horizon workflows)
Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators)
Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics)
Depending on your mapped capability area(s), you may focus on:
Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes).
Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks).
STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity).
Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models.
3) Build robust validation, denoising, and synthetic data systems
Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review.
Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls.
Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts.
Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage.
4) Use evaluations and training runs to prove impact
Design and run evals that reflect the client's intended usage.
Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift.
When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways.
5) Collaborate effectively with large production teams without being ops-heavy
Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals.
You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery.
You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL.
Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners.
Who We're Looking For
4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems).
Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure.
Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights.
Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned.
Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes.
Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus.
Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria.
Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity.
Strong pluses
RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design).
Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis).
Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional).
STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness.
Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces).
Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows.
Why Turing
Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks.
Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence.
High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar.
Talent-dense team, where you'll find rapid iteration and an exceptional learning curve.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: London; New York; Edinburgh; Paris; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better, fairer, more trustworthy, and more secure Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams.
This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management.
It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole.
Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role.
Key responsibilities:
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
- Extremely strong software engineering skills.
- Strong expertise in designing and conducting data collection tasks, including working with human annotators.
- Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models.
- Hands-on experience training large language models (LLMs) on distributed training infrastructures.
- Familiarity with evaluating and improving the generalizability and robustness of ML systems.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth.
Responsibilities
Win new business and drive revenue for Anthropic by directly
selling to
Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close
Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids
Navigate complex technical sales conversations with partners' engineering and product teams
Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions
Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals
Build deep relationships with key decision makers within partner organizations
Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development
Create and maintain sales playbooks specific to SI and ISV sales motions
Track and forecast sales pipeline specific to the partner segment
You may be a good fit if you have
7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs
Security clearances preferred
Strong track record of closing complex technical sales to partner organizations
Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria
Experience navigating technical requirements and security standards specific to public sector implementations
Proven ability to exceed revenue targets in partner-focused sales roles
Strong technical acumen and ability to engage with partners' engineering teams
Experience coordinating with cloud providers in complex deal scenarios
Excellent communication skills and ability to present to both technical and business audiences
Strategic thinking combined with hands-on sales execution capabilities
Understanding of public sector procurement processes and how partners operate within them
A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as
personal
and
business
bank accounts, we offer
joint accounts
,
accounts for 16-17 year olds
, a
free kids account
and
credit cards
in the UK, with more exciting things to come beyond. Our UK customers can also
save
,
invest
and
combine their pensions
with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍London, UK | 💰 Base salary for this role is depending on experience + Stock Options | Hybrid working model
Define and deliver the future of how UK businesses manage their money. This is a rare opportunity to shape one of Monzo’s most strategically important product areas, leading teams to build innovative, differentiated experiences that no other bank offers.
You’ll set the long-term vision, craft a customer-obsessed strategy, and create the execution engine that turns ambition into reality. We’re looking for someone who pairs exceptional product taste with strong analytical depth, thrives in ambiguity, and can inspire multiple teams to deliver world-class outcomes.
If you’re excited by the idea of redefining business banking for millions of customers—and building high-performing teams along the way—this role puts you at the heart of Monzo’s next chapter.
What you’ll be working on:
As the Senior Product Director for Business Banking, you will define and drive the product strategy, vision, and execution for one of Monzo’s most strategically important product areas. You’ll craft an ambitious roadmap rooted in deep customer insight, emerging market dynamics, and commercial impact—setting a vision that differentiates Monzo in the business banking space.
This role is a rare blend of strategic thinking, world-class product taste, analytical depth, and an ability to consistently ship great work. You will cultivate a high-performance, ownership-driven culture across multiple product teams, guiding them to innovate, execute, and scale products that meaningfully improve the financial lives of our business customers.
What you'll do:
Product Strategy & Vision
Set a bold, customer-centric, commercially grounded product strategy for Business Banking.
Develop and articulate a compelling long-term product vision that positions Monzo as the leader in differentiated business financial experiences.
Combine customer insights, market trends, and commercial priorities into a roadmap that delivers measurable business impact.
Innovation & Differentiation
Foster a culture of innovation that challenges conventions and inspires teams to build category-defining experiences.
Identify and pursue opportunities to meaningfully differentiate Monzo’s business banking offerings.
Drive teams to create unique, delightful products based on exceptional product taste.
Analytical & Strategic Depth
Spar with data scientists and use data to understand “the why” behind customer behaviour, product performance, and opportunities.
Help teams deepen their analytical thinking, improving decision-making quality across the org.
Execution & High-Performance Culture
Build an execution engine that consistently delivers against ambitious goals.
Create extreme clarity on priorities, establish strong processes, remove blockers, and maintain team momentum.
Instil a culture of ownership, speed, and high performance.
Leadership & Organisational Impact
Be a self-starter with a strong bias for action—willing to lead from the front when needed and empower from behind when that’s best.
Take full ownership of the Business Banking product area, operating with autonomy and accountability.
Identify organisational inefficiencies and design structures that enable teams to thrive.
Hire, coach, and develop exceptional product managers, helping them reach their full potential and cultivating the next generation of Monzo product leaders.
You should apply if:
You are a seasoned product leader, and have a track record of leading high-performing product teams at a fast-growing consumer tech company to:
build highly engaging (daily/weekly) experiences for millions of customers
deliver company trajectory-changing impact
(nice-to-have) build a multi-market product, with a proven ability to balance priorities across geographies
You're data-driven and commercial, and have a track record of collaborating with data scientists to define key metrics, run experiments, and deliver business impact.
You can systematically break down and solve complex problems.
You have good judgement, and you’re able to make good decisions in complex situations where there’s often no “right answer”.
You have the urge and resilience to challenge the status quo and make things better, and are full of creative ideas for how to do so.
You can work effectively with a diverse range of people and working styles - spanning engineering, design, data, user research, marketing, legal and compliance - to get stuff done.
You’re a great storyteller, who is able to motivate, energise and inspire people towards a common goal.
You’re passionate about building value for customers and not just achieving business results, and are excited about our mission at Monzo.
You’re intellectually honest about your work's performance, continually striving for improvement.
You’re a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience.
You’ve managed a team of PMs, have a proven ability to coach and develop others, and can provide clear and constructive feedback to your team and other disciplines.
You can get hands-on when necessary, to fill gaps - in people or experience - and set a practical example for what great looks like.
What’s in it for you:
💰Base salary dependent upon experience + Stock Options + Benefits
✈️ We can help you relocate to the UK
✅ We can sponsor visas
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits
here
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our
blog
, 2026
Diversity and Inclusion Report
and 2025
Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Location: Lagos, Nigeria
Who we are
We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experiences.
We are the place for you, if
You’re excited about technology and the future, and you’re looking for a place to learn and grow. You care a lot about detail and pride yourself in impeccable execution. You can collect and analyze lots of data and feed in just the right amount of intuition to make sound decisions. You are ready to work extremely hard, at a fast pace, to achieve audacious goals. You love to speak up, ask questions, and are comfortable challenging anyone or any idea.
The position
The
Credit Monitoring Analyst
is responsible for monitoring loan portfolios after disbursement to ensure timely repayments, identify early warning signs of credit risk, and ensure compliance with approved loan terms and credit policies.
Job Description
Collateral Strategy & Control:
Manage the bank’s collateral strategy, implement effective controls, and conduct regular mark-to-market analysis to ensure adequate facility coverage.
Monitoring & Reporting
:
- Implement and enforce the Collateral Inspection Plan.
- Prepare and share key daily reports, including: Past Due Obligations (PDOs), Imminent Maturities and Newly Booked Facilities
- Engage with Business Heads and Relationship Teams on key report insights.
Post-Disbursement Review
: Ensure compliance with drawdown conditions and escalate exceptions for prompt resolution.
Early Warning & Risk Mitigation
: Identify early warning signs of problem loans, escalate adverse credit developments to prevent
- Appoint agents for stock monitoring and perform inventory spot checks.
- Review warehouse reports and evaluate stock coverage breaches.
- Develop performance metrics and manage vendor relationships, including onboarding, conflict resolution, and sanctions where necessary.
Credit Risk Oversight:
- Participate in Criticized Assets Review Committee meetings to address high-risk assets.
- Ensure all facilities operate within approved terms and follow up proactively on maturing obligations to avoid defaults.
Customer Engagement:
Engage clients regularly through calls, emails, and in-person meetings to understand their needs, provide updates, and offer tailored financial solutions.
Feedback Collection & Resolution
: Gather feedback through surveys or direct interactions, and promptly resolve issues or escalate concerns to the appropriate tea
Requirements
University degree or equivalent standard with a high numeric content: statistics, econometrics, business administration/ economics, mathematics, finance, etc.
2+ years practical experience
Experience with hands-on customer relationship management
Practical knowledge in credit risk working for a banking or non-banking financial institution
Experience with Customer experience services
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously.
You will ground projections in microeconomic signals from the
Anthropic Economic Index
— usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our
privacy-preserving measurement system
, we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Responsibilities
Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution
Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories
Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation
Analyze questions of income distribution and economic governance under transformative-AI scenarios
Contribute to the development of AI-powered research tools for economics
Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise
Build and maintain relationships with academic institutions, policy think tanks, and other research partners
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
You May Be a Good Fit If You Have
PhD in Economics, or an exceptional candidate close to completion
Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics
A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against
Relevant experience in some of:
Macroeconomic modeling and structural estimation
Scenario-based and time-series forecasting
Task-based approaches to technological change
Computational methods, agent-based modeling, or large-scale simulation
Income distribution and inequality
Using large language models in the research workflow
Technical skills including:
Proficiency in Python, Julia, or similar for computational economics
Facility with AI coding agents as part of a research workflow
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead research projects from conception to publication
Ship on tight timelines and revise in public as new data arrives
Communicate technical findings to diverse audiences
Strong interest in ensuring AI development benefits humanity
Some Examples of Our Recent Work
Labor market impacts of AI: A new measure and early evidence
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.
Deadline to apply: None. Applications are reviewed on a rolling basis
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
New York City, NY; San Francisco, CA
seniorSan Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams
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San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team
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ГибридseniorLondon; New York; Edinburgh; Paris; Toronto; Montreal; For this role you need to have ~50% working day overlap with UK/EU timezone (e.g; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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