Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
Location: London, UK
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
Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for
claude.ai
, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs.
We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't.
Key responsibilities
Lead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token management
Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team
Coach, mentor, and provide career development guidance to your direct reports, helping them set and achieve their professional goals
Partner with Connectivity engineering leadership in San Francisco, along with product, security, and platform teams, to define the team's roadmap and create clarity for the team in an ambiguous and evolving environment
Drive cross-team and cross-org alignment to ship work that spans
claude.ai
, Claude Code, Cowork, and the API, working effectively with teams primarily based in the US
Establish and drive adoption of engineering best practices within your team, including the operational rigor (on-call, incident response, postmortems) required for infrastructure that other teams and external partners depend on
Contribute to engineering-wide initiatives as a member of Anthropic's engineering management team
Minimum qualifications
Experience managing software engineering teams, including hiring, coaching, and performance management
A technical background in backend or platform engineering, with the depth to guide architectural decisions and engage credibly in technical discussions
Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale
Excellent communication skills, with the ability to build consensus across teams and time zones
Demonstrated success building a culture of belonging, and of product and engineering excellence
Preferred qualifications
3+ years of experience as an engineering manager
Familiarity with MCP or experience contributing to open standards or open source ecosystems
Experience leading teams that collaborate closely with distributed or cross-timezone partner teams
Familiarity with authentication and authorization concepts such as OAuth, token management, or identity systems
Experience building or operating API gateways, proxies, or multi-tenant platforms
Experience building for enterprise customers, including admin controls, governance, and compliance requirements
Experience working on AI/ML products or agentic systems
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:
£255,000
—
£325,000 GBP
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: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the Solution Architect, you'll design the backbone of the platform. You'll define the architecture for the data services storefront and own the DataCard governance framework that keeps our data trustworthy, documented, and compliant end to end. Working closely with the engineering team and the Delivery Owner, you'll translate governance and security requirements in a secure federal (IL4) environment into a clean, defensible technical design. It's a role for an architect who cares as much about data stewardship and governance as about elegant systems.
Key Responsibilities:
Own cross-pillar architectural integrity and interface coordination across the 24-week program
Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage
Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3
Design taxonomy engine and sequestration controls architecture
Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope
Lead platform component run books and per-DataCard documentation in Phase E
Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration
Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path
Must-Have Qualifications:
Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
10+ years total professional experience, 6+ years in data architecture or platform engineering
Databricks, Delta Lake, and MLflow — hands-on implementation experience, not conceptual
Data governance frameworks: DataCards, provenance, lineage, distribution statement controls
ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; must be willing to ramp ZenML quickly)
Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
Prior Innodata or annotation platform architecture experience
MLflow model governance and registry hands-on experience
Ontology and taxonomy design for AI/ML training datasets
DoD Directive 5230.24 distribution statement implementation experience
The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
This role is the primary technical decision-maker on the program below the Delivery Owner. The SA is expected to make architectural calls independently within the established framework and surface only unresolved cross-cutting decisions to the Delivery Owner.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will focus on solving engineering problems at scale, moving beyond feature delivery to influence the architecture and implementation of distributed systems. By refactoring complex, monolithic systems and building high-quality, scalable software, your work ensures our platform remains robust and reliable for millions of global users.
As a senior member of the team, you will have the autonomy to make major code design decisions and contribute to global engineering standards. You will balance technical excellence with mentorship, acting as a role model and coaching others through complex technical challenges to help them grow.
The team / how they connect
You will join a collaborative environment where engineers, product owners, and designers work together using agile and delivery practices to ship meaningful code. The team prioritizes continuous learning and mastery, frequently participating in code reviews and knowledge-sharing sessions to maintain a high bar for technical craft.
The team is currently working on / Initially, you will focus on
- Modernizing systems by refactoring monolithic components into distributed, scalable architectures.
- Enhancing the developer experience through the maturation of CI/CD concepts, tooling, and TDD practices.
- Building and maintaining a diverse tech stack that includes C#,.Net, React, AWS, and Kubernetes.
- Developing and implementing technical solution designs that align with long-term engineering frameworks.
Where and how you can work
This role is based in our Vancouver office, where we embrace a hybrid working model. You will have the flexibility to work from home while joining the team in the office for "boost days" (1-2 days a week) to collaborate, socialize, and solve complex problems in person.
Here are some of the things we are looking for
- Proven experience delivering and operating complex, large-scale systems (distributed/high-availability environments), with strong fundamentals and the ability to ramp quickly across adjacent technologies (we’re tech-stack agnostic).
- You bring a growth mindset and a passion for proactively maintaining and sharing technical knowledge with your peers.
- A background in designing and building high-quality software within a range of languages and tools is essential.
- You possess the ability to lead major code design decisions and contribute to wider technical solutioning.
- Experience with modern engineering practices like automated testing, refactoring, and agile delivery is key to your success.
- You enjoy mentoring other engineers and helping them grow their technical skills through supportive coaching.
- A deep care for technical excellence and a drive to solve large-scale engineering challenges motivates your daily work.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies.
Compensation Philosophy
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The base salary range for this role in Canada is $155,000 - $205,000 CAD.
Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include:
- Variable Pay: Eligibility commissions or equity based on role and performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs.
- Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role
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
The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.
Responsibilities
Own the technical strategy and roadmap, translating goals into concrete execution
Manage day-to-day execution of the team's work
Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment
Stay hands-on: build and ship the runtime platform and tooling
Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management
Build primitives that are composable and reusable across various agents
Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence
Collaborate cross-team, supporting internal teams bringing up their agents
You May Be a Good Fit If You:
Have 10+ years building and operating large-scale platforms or distributed systems
Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale
Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment
Have experience with container or VM orchestration at scale
Are obsessed with productivity and transforming how we work
Have excellent communication skills and enjoy supporting internal partners
Strong Candidates May Also Have:
Engineering management experience on top of a strong IC track record
Experience with harness engineering
Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control
Experience with capacity planning and utilization across multiple cloud providers
Experience working with researchers, engineers and other functional roles
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:
$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: Warsaw
The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world.
We are looking for an experienced product manager to join the team responsible for key elements of Asana’s work platform strategy. Over the next 2 years, a critical piece of Asana’s strategy is to continue building out a platform that can support many different types of workflows. You’ll be responsible for understanding how customers’ need to structure work to enable their workflows and build out the features to meet those needs directly, and enable other Asana R&D teams to incorporate structure into their features. You’ll work with a large set of cross-functional partners across both our GTM and internal teams to learn about how internal and external customers of all sizes need to customize their core Asana experience to support their workflows, and how your work fits within the entire customer lifecycle so that we customers feel confident in structuring their work in the right way at the right time to power.
This role is perfect for a product manager with deep customer empathy for the complexity of mapping messy work to a structured tool, has an end-to-end ownership mindset, and drives for results. We are looking for someone who has experience building software in partnership with enterprise customers, strong product intuition, and can marry qualitative insights with quantitative data to deeply understand the customer experience. You thrive on learning from customers, and are excited to partner with engineering, design, user research, sales, and the rest of our amazing PM team.
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Define and deliver a compelling roadmap to ensure customers have the structure they need to power their end to end workflows.Synthesize input from customers, user research, data science, and business partners, ensuring we are continuously investing in the right ways to structure work, and shifting quickly when an area is no longer leveraged.Take new initiatives from 0 to 1, and then scale them up, as we validate product market fitPartner closely with design, engineering, marketing, and customer success to co-create a cohesive end to end journey and execute on the roadmap with velocity.Collaborate across the R&D organization to support other R&D teams in achieving their goals.
About you
5+ years of experience as a Product Manager, with at least 1-2 years experience on B2B SaaS.
Customer-centric:
You spend time directly with customers to understand their nuanced challenges and synthesizing research to identify and solve problems..
Communication and collaboration:
Demonstrate strong communication and collaboration skills with cross-functional teams, clarifying complex concepts and writing precise product specifications. You pair effectively with design, engineering, and our business teams.
Systems thinker:
Think systemically, creating solutions that simplify complex use cases for customers.
Strategic:
Provide strategic insights and create intuitive connections within the custom field & types features and platform to address critical customer issues.
Get Stuff Done:
Execute projects with high velocity, breaking them down into MVPs and iterative stages for impactful delivery.
Grow Team Asana:
Foster team morale and share best practices in product management.
Growth Mindset:
Embrace a growth mindset, welcoming feedback and maintaining curiosity in learning.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between 29,000 - 31,935PLN. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
EST
Europe
Why this job is exciting
Source code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services.
This role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software.
The Platform team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Platform team, you will work closely with both external customers and internal stakeholders to meet their needs. You will:
Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud.
Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances.
Expose complex infrastructure as API to support internal customers to iterate faster.
Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP) to debug and patch non-trivial problems.
Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence.
Participate in on-call rotation to uphold our contractual SLA commitments.
📅 Within one month, you will…
Onboard onto the Sourcegraph architecture, tooling, and development workflow.
Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals.
Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals.
Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs.
📅 Within three months, you will…
Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem.
Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments.
Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs.
Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery.
Participate in our on-call rotation.
📅 Within six months, you will…
Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones that you will deliver iteratively with the team.
Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs.
Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar.
About you
You bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who seeks to solve problems by writing code rather than through one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary.
Qualifications:
Proficiency in Go, or other strongly typed languages.
Knowledge in one of the public cloud platform providers (GCP, AWS, Azure)
Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation.
Skilled at debugging distributed systems, followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory.
Ability to communicate clearly and empathetically, especially in writing and documentation.
Preferred time zone between UTC-8 and UTC+2
Nice to haves:
Built services and exposed them as API for external consumption (e.g., gRPC).
Comfortable implementing system-level software (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators.
Published blog posts and/or tech talks about your work.
Experience working on small high-performing teams, preferably tech startups.
Level
📊 This job is an IC3. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰The starting salary for the IC3 pay band in each zone is:
Zone 2: $148,000 USD
Zone 3: $111,000 USD
Zone 4: $74,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 4.75 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[Async] Take-home exercise
[60m]
Take-home exercise walkthrough + System Design
[60m]
Pairing Exercise
[60m]
Resume Deep Dive
[60m]
Cross-functional Team Collaboration Interview
/
Values Interview
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30m]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
San Francisco, CA; Austin, TX; New York, NY; Washington D.C.
About the Role
The Interconnection Manager for the Americas is the network strategy leader for one of Cloudflare's most important and most contrasted regions — a mature, high-volume United States market alongside a fast-growing, infrastructure-constrained South America. You will own the strategy that scales our connectivity with the largest ISPs and eyeball networks in the U.S. while solving the harder, less-charted problem of building resilient, cost-effective network reach across South America.
This role operates on an AI-first model. You won't just consume reports — you'll use AI agents and tooling to analyze traffic, model capacity and cost scenarios, surface peering and transport opportunities, and automate the operational work that historically slowed interconnection teams down. AI is the force-multiplier that lets a single strategist see the whole region clearly and act on it quickly, shifting your time from reactive task processing to proactive architecture. The decisions you make will directly shape Cloudflare's standing as the network leader across the Americas.
You will work in close partnership with the Regional Network Acquisition Manager, who executes high-volume sourcing, contract lifecycle, and vendor management under your strategic direction — freeing you to lead the complex, high-stakes work.
What You'll Do / Responsibilities
Regional Network Strategy — Americas
Own and execute the interconnection and backbone strategy for the Americas, balancing the distinct realities of the U.S. and South American markets.
United States:
Drive interconnection scale and depth with the largest U.S. ISPs and eyeball networks (e.g., Comcast, Charter, AT&T, Verizon, T-Mobile), expanding private interconnect, peering, and capacity to keep pace with traffic growth.
South America:
Solve the region's unique build challenges — a sparse and uneven IXP fabric, terrestrial and subsea transport economics, regulatory and market fragmentation, and heavy reliance on local partners — to establish durable, performant reach (with particular focus on Brazil, the region's largest market).
AI-First Operating Model
Use AI-driven analytics to interpret regional traffic patterns, peering opportunities, and performance/cost trade-offs, and to inform interconnection and capacity decisions.
Leverage and help shape automated, agentic workflows for LOAs, ticketing, contract tracking, and data hygiene — partnering with the support layer to push routine execution to automation.
Build models and scenario analyses (capacity, cost, resiliency) that let you make faster, better-evidenced strategic calls and clearly defend them to leadership.
Interconnection & Backbone Management
Formulate and execute plans to optimize traffic flow across the region, balancing backbone, partner, transit, IX, and peer connections.
Develop and execute strategies for the expansion, optimization, and maintenance of Cloudflare's backbone across the Americas, planning capacity for scalability and high performance.
Lead negotiations for high-value, complex interconnection agreements and Tier-1 partnerships.
Advise budget planning cycles to ensure proper resource allocation for regional growth and scaling.
Partnership with the Regional Network Acquisition Manager
Set the strategy and priorities the Network Acquisition Manager executes against; review and approve sourcing recommendations for new and existing transport services.
Lead complex, high-value negotiations directly, while the Acquisition Manager runs high-volume requirements, contract lifecycle support, inventory, and first-level billing response.
Ensure a clean handoff model so strategic intent translates into reliable, well-documented execution.
Relationship Management
Cultivate and maintain strong relationships with ISPs, IXPs, carriers, and partners across the Americas.
Act as the regional expert for interconnection relationships, focused on availability, capacity, effectiveness, and cost efficiency.
Cross-Functional Collaboration
Collaborate with Data Center Strategy, Network Engineering, Capacity Planning, and Infrastructure Operations to align on network strategy and implementation.
Engage internal stakeholders to plan requirements and deliver cross-functional projects, communicating clearly throughout.
Industry Engagement
Represent Cloudflare in regional and global industry forums and conferences, contributing to best practices and standards.
Desirable Skills, Knowledge, and Experience:
5+ years of experience in network infrastructure, ideally within a Telco, ISP, CDN, or cloud environment.
Strong understanding of networking protocols and technologies, including BGP, DWDM, and IP networking.
Proven experience negotiating and managing interconnection agreements.
Working knowledge of the Americas connectivity landscape — the U.S. wholesale/peering market and the transport, IXP, and partner dynamics of South America (including subsea and terrestrial considerations).
Fluency with AI tools in daily work, and a genuine appetite to use AI/agentic tooling to scale decision-making and eliminate manual toil.
Excellent communication and interpersonal skills.
Strong analytical and problem-solving abilities.
Experience with capacity planning, cost modeling, and operations research.
Bonus Points
Professional proficiency in
Spanish and/or Portuguese
, to support relationship-building and network expansion across South America.
Hands-on experience building or scaling network presence in emerging or infrastructure-constrained markets.
Experience designing AI-assisted analytics or automation for network/commercial operations.
Compensation
Compensation may be adjusted depending on work location.
For Bay Area based hires: Estimated annual salary of $150,000 - $207,000
For New York based hires: Estimated annual salary of $143,000 - $197,000
For Washington D.C. based hires: Estimated annual salary of $143,000 - $197,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Sydney, Australia
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 Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair.
This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability.
A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.
Key responsibilities
Build automation to support datacenter fleets at scale.
Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
Work closely with our Networking team to ensure end-to-end connectivity across all sites.
Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.
Minimum qualifications
Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
Ability to communicate clearly and build consensus with a wide range of stakeholders.
Comfort navigating ambiguity and making progress on complex, cross-functional problems.
Preferred qualifications
8+ years of experience in datacenter infrastructure management, or a closely related discipline.
Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS
Experience building or contributing to datacenter automation or fleet management platforms.
Experience building and deploying server operating system distributions across large server fleets.
Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.
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
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We’re hiring a Senior Product Marketing Manager to help define and scale how Harvey brings its products to market. At Harvey, Senior PMMs operate as owners of their product area or customer segment.
You will define positioning and narrative, shape go-to-market strategy, influence product direction and prioritization through deep customer, market, and competitive insight, and be accountable for driving adoption and revenue impact. You should be equally comfortable shaping high-level positioning and go-to-market strategy as you are rolling up your sleeves to turn that strategy into content, launches, and enablement that drive real adoption.
This is a high-visibility role that works closely with Marketing, GTM, Product, and executive leadership to drive meaningful customer and business outcomes.
WHAT YOU’LL DO
- Lead go-to-market strategy for a core product area from positioning and narrative through launch and post-launch adoption
- Define clear, differentiated positioning and messaging grounded in customer needs, market dynamics, and product capabilities
- Plan and execute product and feature launches in close partnership with Product, Engineering, Sales, and Enablement
- Ensure launches translate into real-world impact through enablement, campaigns, and post-launch iteration
- Partner with Growth, Demand Gen, and Sales to support sustained adoption beyond initial launch moments
- Create and oversee high-impact customer- and sales-facing assets (e.g., pitch decks, one-pagers, competitive narratives, battlecards, onboarding materials)
- Conduct and synthesize customer research, market analysis, and competitive intelligence to inform positioning, GTM strategy, and product direction
WHAT YOU HAVE
- 6–8+ years of experience in Product Marketing, Product Management, Product Strategy, ideally in high growth B2B SaaS
- Experience marketing to enterprise customers, ideally including Fortune 100 or professional services organizations
- Proven track record leading major product launches and shaping positioning that drives real business outcomes
- Strong ability to translate technical or AI-powered products into clear, compelling narratives for diverse audiences
- Eager to move fast & drive impact, you’d rather build an imperfect one-pager quickly that is used by many people than a perfect one that collects dust
- Excellent written and verbal communication skills, with strong executive presence
- Ability to differentiate valuable signal from noise
- Ability to thrive in ambiguous cross-functional projects across Product, GTM, and Founders
COMPENSATION
$137,600-206,400 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-BG1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We’re hiring a Senior Product Marketing Manager to help define and scale how Harvey brings its products to market. At Harvey, Senior PMMs operate as owners of their product area or customer segment.
You will define positioning and narrative, shape go-to-market strategy, influence product direction and prioritization through deep customer, market, and competitive insight, and be accountable for driving adoption and revenue impact. You should be equally comfortable shaping high-level positioning and go-to-market strategy as you are rolling up your sleeves to turn that strategy into content, launches, and enablement that drive real adoption.
This is a high-visibility role that works closely with Marketing, GTM, Product, and executive leadership to drive meaningful customer and business outcomes.
WHAT YOU’LL DO
- Lead go-to-market strategy for a core product area from positioning and narrative through launch and post-launch adoption
- Define clear, differentiated positioning and messaging grounded in customer needs, market dynamics, and product capabilities
- Plan and execute product and feature launches in close partnership with Product, Engineering, Sales, and Enablement
- Ensure launches translate into real-world impact through enablement, campaigns, and post-launch iteration
- Partner with Growth, Demand Gen, and Sales to support sustained adoption beyond initial launch moments
- Create and oversee high-impact customer- and sales-facing assets (e.g., pitch decks, one-pagers, competitive narratives, battlecards, onboarding materials)
- Conduct and synthesize customer research, market analysis, and competitive intelligence to inform positioning, GTM strategy, and product direction
WHAT YOU HAVE
- 6–8+ years of experience in Product Marketing, Product Management, Product Strategy, ideally in high growth B2B SaaS
- Experience marketing to enterprise customers, ideally including Fortune 100 or professional services organizations
- Proven track record leading major product launches and shaping positioning that drives real business outcomes
- Strong ability to translate technical or AI-powered products into clear, compelling narratives for diverse audiences
- Eager to move fast & drive impact, you’d rather build an imperfect one-pager quickly that is used by many people than a perfect one that collects dust
- Excellent written and verbal communication skills, with strong executive presence
- Ability to differentiate valuable signal from noise
- Ability to thrive in ambiguous cross-functional projects across Product, GTM, and Founders
COMPENSATION
$137,600-206,400 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-BG1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia
You see software development and team organization not as a rigid set of rules, but as a craft that deserves better tools. You want to design complex, data-rich productivity platforms where information architecture is a first-class problem, and you want to rethink how humans work alongside AI. If you are a designer who values hands-on craft, hates unnecessary bureaucracy, and wants the autonomy to build a team's design process from scratch, this role was built for you.
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
What you’ll do
YouTrack handles serious complexity – agile boards, backlogs, knowledge bases, helpdesks, and deeply customizable workflows – across teams from two-person startups to global enterprises. We’re at a point where the category's oldest assumptions are worth reconsidering. Issue tracking has relied on the same foundational blocks for years, but AI opens an opportunity to rethink how software can actively help teams get work done.
We need a Lead Product Designer to shape where project management goes next while keeping a massive, mature surface area coherent, legible, and a pleasant to use. In this role, you’ll lead a small design team of two designers, own the overall design quality bar across the product, and act as an individual contributor on our hardest, least-charted problems. You’ll build a fresh design process from scratch with the full backing of a team lead who respects craft and values professional judgment.
Day to day, you will:
Shape a point of view on how project management and issue tracking evolve in an AI-native world and turn those concepts into tools people can actually use.
Design how people work alongside AI capabilities in YouTrack, from conversational interfaces to inline assistance and background automation.
Develop interaction patterns for unsettled problems, including surfacing AI confidence, making actions transparent, and keeping users in control.
Prototype and test new concepts quickly, separating ideas that feel clever from those that genuinely reduce friction.
Keep a large, deep product coherent so that boards, helpdesks, reports, and administration feel like a single cohesive engine.
Partner with product management and engineering to shape roadmap priorities from a design perspective, influencing what gets built and why.
What you’ll bring
A deep commitment to craft ownership, holding yourself and your team to high standards without creating bottlenecks.
Comfort building clear, lightweight processes, without turning them into restrictive bureaucracy.
The generosity to share knowledge openly and collaborate across a broad, global design community.
Clarity in your writing and reasoning, with the ability to explain complex design decisions in plain words.
Comfort with ambiguity and a healthy appetite for finding the right questions before designing the answers.
Strong opinions, loosely held, with a clear understanding of when to follow platform conventions and when to break them.
What you’ll need
Successfully led the design of complex, data-rich productivity tools or software systems where information architecture is a primary challenge.
Proven understanding of how modern AI systems operate beyond single-turn prompts, including agentic workflows and multi-step execution.
Experience mentoring and leading other designers, giving clear feedback that lands and raises the bar.
Ability to design unified experiences that cater to small startup teams and large enterprise customers simultaneously.
A portfolio showing a range of work from precise micro-interactions to large-scale information architecture.
What success looks like
Success means earning the trust of your team and peers through sound interaction choices and clear systemic improvements. You will establish a reliable critique rhythm and a structured way of working that helps your designers grow. Within your first few months, delivering clear patterns for our AI capabilities, paying down accumulated UX debt, and ensuring YouTrack remains both deep and remarkably quick on its feet.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work schedule. Enjoy the freedom to work from home or from the office.
Extra time off. More days to relax, recharge, and do the things you love.
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. Assistance to help make your move as smooth and stress-free as possible.
Free meals and snacks. Lunch and refreshments provided to keep you fueled.
Health and wellness. On-site gyms or sports club stipends.
Internal events. Company-wide celebrations and team gatherings.
If this sounds like you, we’d love to hear from you.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: USA (Remote); Remote; UK (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
Are you a talented linguist with a love for language and cutting-edge technology? We want YOU to join our dynamic translation pool! We're on the lookout for experts across a range of exciting fields — including Life Sciences, IT, Marketing, Legal, Finance, – but don't let that limit you. Whatever your specialization, we'd love to hear from you!
WHAT YOU’LL DELIVER
- Translate content between English and your native language while preserving cultural nuance and clarity.
- Edit and refine language content for accuracy, tone, and contextual relevance across digital platforms.
- Apply current language standards, usage trends, and best practices to all deliverables.
- Evaluate and provide structured feedback to improve language model quality.
- Collaborate with Production and cross-functional teams to localize content for your language-speaking markets.
- Support content development, localization, and quality assurance for digital tools and applications.
- If transcreation is required, the text should be creatively adapted beyond the source to ensure it reads naturally in the target language.
QUALIFICATIONS
- Native-level proficiency in the target language(s)
- A graduate qualification in translation, linguistics, or language studies, OR
- A graduate qualification in another field plus 2 years of full-time professional translation experience, OR
- 5 years of full-time professional translation experience.
- The ability to follow terminology and reference materials precisely
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Submit your application, including an updated copy of your CV in English.
Step 2: If a test is required, you will be asked to take a test in specific domains you specialise in.
Step 3: Once you are selected to join our translation team and you have passed the test, we'll guide you through the remaining onboarding steps — completing an application form, getting you set up for payments, and welcoming you into our community.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
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 team
Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of demonstrating how AI tools can accelerate scientific workflows and enable discovery.
About the role
We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future.
You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill.
This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development.
Key responsibilities
Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists
Maintain meticulous, reproducible records and contribute to shared protocols
Troubleshoot experiments, propose adjustments, and present results clearly in group meetings
Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories
Learn and adopt new techniques rapidly as projects evolve, with training provided
Minimum qualifications
Have hands-on research experience in molecular biology, biochemistry, or a closely related field
Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation
Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification
Follow, document, and adapt experimental protocols with care and precision
Are highly motivated, eager to learn, and energized by hands-on bench work
Are practical and resourceful — you'd rather find a way through than a reason it can't be done
Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly
Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next
Preferred qualifications
A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline
Protein expression and purification experience (e.g., affinity, SEC, IEX)
Mammalian cell culture experience, including transfection and stable line maintenance
Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET)
Next-generation sequencing library preparation experience
Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design)
Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting
This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved.
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:
$95,000
—
$120,000 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
We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations.
You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems.
Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share
Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting
Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work
Capable of independently leading complex investigations.
Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path
Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise
Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up
Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels
Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly
Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements
Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape
Minimum qualifications
Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors
Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators
Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it
Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities
Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale
Have built processes, detection systems, or programs from scratch and can show what changed because of them
Communicate crisply with executives, engineers, and external partners alike
Preferred qualifications
Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale
Background in financial crime investigation or fraud analytics
Experience working directly with U.S. government stakeholders on threat reporting
A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks
Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context
Active Top Secret security clearance
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:
$375,000
—
$455,000 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 | 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
We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons.
You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders.
Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program
Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas
Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities
Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers
Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs
Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle
Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations
Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes
Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings.
Minimum qualifications
Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains
Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead
Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks
Have hands-on experience with large language models and how AI could be misused for CBRN-E threats
Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners
Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership
Preferred qualifications
Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field
Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations
Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis.
Background in AI safety, machine learning security, or technology abuse investigation
Experience building and scaling threat detection systems or abuse monitoring programs
Active Top Secret security clearance
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:
$375,000
—
$455,000 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: New York City
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our
Desktop Systems Engineering
team is the front line of support for all users across the firm. We work with a wide range of the best technology available and we get to test, configure and deploy it all in an environment that continually challenges us and demands that we learn new things daily. The team is also responsible for driving innovation for technologies that impact users daily. The pace is fast but we also obsess about leaving no stone unturned when there is a problem to be solved. We believe in healthy debate, creative and collaborative problem solving and active knowledge sharing. Strong technical aptitude and a passion for technology are critical for success in the Systems Engineer role but initiative, strong analytics and drive are equally important.
What you’ll be doing:
Provide advanced desktop support for Windows, macOS, and Linux environments across corporate offices and remote users.
Build, configure, deploy, maintain, and upgrade desktops, laptops, virtual machines, and mobile devices.
Troubleshoot hardware, software, operating system, networking, and peripheral issues in a timely manner.
Manage user provisioning and deprovisioning, including Active Directory accounts, email access, VPN access, MFA, permissions, and security groups.
Support and maintain conference room technologies, AV systems, Zoom/Teams rooms, and collaboration platforms.
Monitor desktop infrastructure health and proactively address performance, security, and compliance issues.
Work closely with networking, security, storage, cloud, and infrastructure teams on cross‑functional projects and escalations.
Evaluate, test, and recommend new hardware, software, and endpoint technologies.
Maintain accurate documentation for systems, processes, troubleshooting procedures, and asset inventory.
Support office moves, desk setups, hardware refreshes, and enterprise technology rollouts.
Assist with onboarding, offboarding, and transfer processes for employees and contractors.
Participate in after‑hours support, maintenance windows, and on‑call rotations as required.
What we’re looking for in this role:
Solid experience with workstations and laptops, including adding display cards and network interface cards (NICs), swapping chasis. Able to lift 50-60 lbs.
Efficient in desk moves, always maintaining a positive attitude.
Strong background in imaging, supporting, and configuring Windows 11 for optimal performance.
Proficient in enterprise drive encryption with BitLocker and MBAM, ensuring security in all tasks.
Experienced in supporting Microsoft Office Suite (especially Outlook and Excel) and familiar with plugins.
Knowledgeable in mobile device management through AirWatch.
Experienced with Microsoft Exchange and Apple Business Manager for cross-platform support.
At least 2 years in MEMCM/SCCM administration or similar roles.
Robust skills in virtualization and desktop services with up-to-date technology knowledge.
Might have to visit our Greenwich Connecticut office once a month and during holidays or when other team members are off to provide coverage.
Proficient in using Zoom and conference room equipment to help with meetings to colleagues and visitors
An enthusiastic self-starter who thrives under pressure, values teamwork, and has excellent communication skills.
Nice to have:
Intune management experience
Previous macOS or Linux support experience
Previous Windows Server and Active Directory support experience
Scripting or low level programming experience
The annual base salary range for this position is $130,000 to $160,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
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California residents, please review the California Privacy Notice for information about certain legal rights at
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[#LI-TL1]
San Francisco
London, UK; Excellent communication skills, with the ability to build consensus across teams and time zones; Experience leading teams that collaborate closely with distributed or cross-timezone partner teams
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.