Location: Remote (United States)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
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About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
We are seeking a talented and motivated full-time Product Manager, Aperture to help shape the product strategy for Tailscale's AI gateway. Aperture gives organizations visibility and control over how their teams use AI. It routes and secures LLM traffic through Tailscale's identity layer instead of distributing API keys, so security and platform teams can see who's using which models, enforce usage policy, and eliminate key sprawl.
You'll be the first dedicated PM on this team, working directly with our co-founder and working alongside a small, AI-native engineering team to take Aperture from its current early-stage footing into a core part of how Tailscale's customers adopt AI safely. This is a foundational role: you'll bring product rigor and customer focus to a team that's moved fast and proven real demand, and you'll have outsized influence over what Aperture becomes as it matures.
Key Responsibilities
Shape Aperture's product roadmap, in close partnership with our co-founder, Engineering Manager and the engineering team, translating a fast-moving, still-forming product area into clear priorities.
Work directly with reference/design-partner customers to translate their AI governance and security needs into concrete product requirements.
Partner with engineering to balance rapid prototyping with the production rigor required for an AI product customers depend on during their daily work.
Represent Aperture externally — to customers, partners, and the community — as a credible voice on AI governance and enterprise AI adoption.
Track and report on adoption, usage, and the metrics that matter for a product still establishing product-market fit.
Partner with GTM and Customer Success as Aperture moves toward defined pricing and a repeatable sales motion.
What We Are Looking For
3-5 years of product management experience (can include experience in other technical customer facing roles, e.g. SE or FDE), including meaningful time in an early-stage or 0-to-1 product context
Comfort with ambiguity and fast, shifting priorities — this is a small team still defining its own scope.
Experience building products for technical buyers (IT, security, or platform teams), since Aperture's customers are CISOs, platform engineers, and IT admins.
Strong technical fluency — able to work credibly with engineers building in Go and go deep on identity, security, and AI-agent workflows.
Excellent written and verbal communication, including the ability to represent the product externally.
Nice to Have
Prior product experience in AI/LLM infrastructure, developer tools, or identity/security products.
Familiarity with the AI gateway landscape (e.g., LiteLLM, Portkey, Kong AI Gateway, Cloudflare AI Gateway) and how Aperture's identity-based approach differs.
Experience partnering with GTM to bring a nascent product category to a defined pricing and sales motion.
Public technical writing, conference talks, or community engagement.
Hands-on experience with Tailscale, at work or at home.
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
US Pay Range
$156,000
—
$221,000 USD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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
As Anthropic grows, more of the work our own teams do every day runs through internal software, and that software has to keep up. We are building that software, and we are building it Claude-first: Claude should take on as much of the repetitive, multi-step work as it safely can, and people decide what needs a human.
We’re looking for Staff+ full-stack engineers to drive this work. You’ll build across the stack: the products people use and the agents that work alongside them. You’ll work directly with the teams who rely on what you build. Many of these workflows write to business-critical data, so correctness matters as much as speed.
This is a greenfield opportunity: you’ll shape the underlying systems, ship agents that take real work off people’s plates, and design how people and agents get the right context to make good decisions.
Key responsibilities
Design and ship internal products end to end, from the data model to the UI, for workflows that teams across Anthropic depend on.
Put Claude to work on real tasks, such as gathering the context a decision needs, drafting the next step of a multi-step process or keeping records consistent across the systems teams already use, and decide where an agent should act and where a well-designed UI is the better answer.
Make agents safe to trust with real work: scoped access to data, guardrails, evals, audit trails, and clear points where a person confirms before anything happens.
Build one set of shared capabilities that people and agents both use, exposed as APIs and MCP tools, so the same rules and approvals apply to whoever makes the call.
Treat speed and polish as product requirements. Spend time with the people who use what you build, find where their work slows down, and remove those steps.
Build for correctness. When a workflow writes to business-critical data, a mistake travels into other systems, so you’ll know where idempotency, reconciliation and audit trails matter and where they don’t.
Integrate with the third-party systems teams already rely on, and build the layer on top of them where people and agents get their work done.
Set technical direction for a product area over multiple quarters, lead engineers across teams through large, ambiguous projects, and make the engineers around you better through design reviews, code review and mentorship.
Operate what you ship: own the reliability of the workflows people depend on and be on call for them.
Minimum qualifications
Experience shipping production software as a backend-leaning full-stack engineer, comfortable designing a data model, an API and the UI on top of them.
Experience building software on LLMs or agents, and a point of view on when an agent should act on its own and when it should ask first.
Experience leading the design and delivery of complex, user-facing products across the full stack, through requirements that shifted while you built.
Experience designing for correctness and data integrity from the start, in systems where errors are costly and hard to undo.
Experience working closely with non-engineering partners, turning ambiguous needs into clear requirements and reaching decisions together.
Preferred qualifications
Experience building internal tools or platforms that other teams rely on. A plus, not a requirement; strong product generalists are just as welcome.
Experience taking an agent into production for a high-stakes workflow, including the evals and guardrails that made it safe to ship.
Experience building a zero-to-one product, or rebuilding one that people already depended on every day.
Experience building on top of third-party platforms through their APIs, and knowing when to extend a system and when to build your own.
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: 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
We are seeking a Partner Marketing Lead, APAC, reporting to the Global Head of Partner Marketing, to own partner marketing end to end across a region where partners are central to how Claude reaches enterprises. As our founding APAC Partner Marketing leader, you'll set the plan for the region rather than execute one set elsewhere: you'll build the operating model, carry partner pipeline goals, and turn our work with hyperscale cloud providers, global and regional systems integrators, resellers, and technology partners into a regional go-to-market motion that creates pipeline and drives adoption of Claude.
The central challenge is sequencing: ANZ, ASEAN, India, Japan, and Korea differ in their partner ecosystems, buyers, languages, and maturity. In some, local partners are the main route to enterprise customers, and India's systems integrators also deliver for customers worldwide. You'll decide where to invest first, where a global or partner-led program is enough for now, and where to wait.
This role calls for the seniority to lead a regional organization and the willingness to start hands-on with a very small team, defining the regional team plan and then hiring and managing the team as headcount opens. The role covers the whole region, including Japan, where you'll build on an established Partner Marketing presence, so that partners and sales teams experience one connected regional approach.
Key responsibilities
Set the APAC partner marketing strategy, annual plan, and investment priorities, aligned with global Partner Marketing, the regional Partnerships business plan, and APAC sales leadership
Decide which markets and partners to prioritize, in what order, and through which motions, and revisit those choices as the business changes
Represent Partner Marketing with regional and global leadership, and make clear recommendations on tradeoffs
Build the regional operating model, including planning, intake, approvals, reporting, and how global programs are adapted for local markets
Define the regional team plan and make the case for where to add capacity
Hire, manage, and develop the team as headcount opens, and set the standard for partner marketing in the region
Build a network of regional agencies and vendors to extend the team
Build joint marketing plans with priority partners, starting with hyperscale cloud providers and their co-sell and marketplace motions, alongside global and regional systems integrators, resellers, and technology partners
Equip partners to market and sell Claude on their own, with localized campaigns, content, and workshops they can run with their own teams and customers
Lead the regional partner calendar, including joint campaigns, executive engagements, workshops, partner events, and regional partner summits
Set pipeline and adoption goals with Partnerships and sales leadership, and take ownership of the results
Connect partner activity to priority accounts and open opportunities so that partner and direct sales motions reinforce each other
Build the regional pipeline of partner customer stories and public proof points
Own the regional partner marketing budget and market development funds, with strong financial discipline and a focus on return
Maximize partner co-investment and negotiate effectively with vendors
Define how success is measured, including sourced and influenced pipeline and adoption of Claude, and use results to decide where to invest and what to stop
Align the regional plan to the International Partnerships business plan, working with its leadership on overall goals and day to day with subregional and country partnerships leaders and partner managers
Work with APAC sales leaders on account priorities and where partners can help open or advance deals
Coordinate with APAC Field Marketing so that field and partner programs run from one regional plan
Work with global Partner Marketing on partners that span regions, such as cloud providers and global systems integrators, as well as Product Marketing, Customer Marketing, Communications, and Marketing Operations, and bring regional partner feedback back into their plans
Minimum qualifications
14+ years of B2B enterprise technology marketing, with significant experience in partner or channel marketing
Experience owning partner or channel marketing strategy for a region or multiple markets, including priorities and investment decisions
Experience leading marketing programs across multiple Asia-Pacific markets, with strong awareness of how those markets differ
Experience hiring and managing marketers, or clear leadership experience to build a regional team
Experience building programs with cloud providers, systems integrators, resellers, or distributors, and an understanding of co-sell and partner-led pipeline
Track record of contributing to significant pipeline or revenue goals, with strong analytics and attribution skills
Experience managing substantial marketing budgets, including partner co-funding or market development funds
Experience building programs and processes from the ground up, and willingness to do hands-on work while the team grows
Ability to work effectively with sales leaders, partner executives, and senior stakeholders, and to move priorities forward with people you don't manage
Ability to make thoughtful decisions with incomplete information, and comfort with ambiguity
Clear written and verbal communication with executive and regional audiences
Care about the societal impacts of AI and about helping organizations adopt AI responsibly
Preferred qualifications
Experience building and scaling a partner or channel marketing function in APAC at an enterprise software or cloud company
Experience leading marketing with cloud providers, systems integrators, and resellers or distributors, including owning the pipeline that came from that work
Experience managing a regional team across several APAC markets in partner or field marketing
Experience as the first partner or field marketing leader in a new region
Experience marketing AI/ML or other complex technical products to enterprises
Experience marketing with AWS, Microsoft, or Google Cloud in APAC, including co-sell and marketplace motions
Experience launching or scaling a reseller or partner program
Established relationships with partners, agencies, or industry organizations in the region
Fluency in one or more Asia-Pacific languages
Knowledge of regional regulatory and compliance requirements for marketing
Experience using Claude or other AI tools to scale marketing work
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, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Strategic Finance team is focused on solving some of Figma’s most pressing business issues. The team is responsible for owning the company’s budget, driving annual and quarterly planning processes, allocating and deploying the company’s resources efficiently, performing financial analyses, and partnering with teams across the company. The role requires someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You’ll get substantial visibility, focus on the highest-priority business issues, and be plugged into every facet of the business.
This is a full time role that can be held from one of our US hubs (SF/NY) or remotely in the United States.
What you’ll do at Figma:
Lead annual operating plans, long-range planning, Headcount & Expense planning, and quarterly/monthly financial forecasts for consolidated G&A organizations
Serve as the dedicated partner to our G&A leadership, planning and managing our investments in headcount, real estate, IT and benefits to ensure they are aligned with company strategy and durable growth goals
Perform ongoing analysis of business performance vs. plan to highlight trends, identify risks and opportunities, and influence executive decision making
Synthesize and summarize our P&L and cash flow narrative for executive audiences
Stand up public-ready performance management structures across headcount and expense like monthly budget vs. actuals, re-forecasting, and a recruiting commit process
Manage and mentor a high-performing team (2 P4s, 1 P3)—providing strategic direction, career development support, and hands-on collaboration to drive team impact
Get a bird’s eye view of Figma’s entire business, shape investments in our next chapter of growth, and build foundational infrastructure for the next decade of strategic finance at Figma
Bring a builder’s mindset to scaling the Corporate Finance function—identifying tools, metrics, and systems that drive automation and enable better decision-making at scale
We'd love to hear from you if you have:
6+ years of total experience in investment banking, private equity, strategic finance, business operations, or a related analytical field, including 4+ years of strategic finance experience with systems, automation, or corporate finance
2+ years of experience managing and developing ICs, with demonstrated success building and leading high-performing teams
Deep experience in financial planning, modeling, and creating data-driven analysis to partner with executive leadership
Proven ability to distill complex issues into structured frameworks, build processes from scratch, and develop concrete action plans, with a process-oriented, automation-first mindset and initiative to learn and apply new technology and tools
Strong track record of building relationships, communicating with stakeholders across all levels, and delivering compelling presentations/memos to executive audiences
While it’s not required, it’s an added plus if you also have:
Background in a high-growth B2B SaaS environment
Previous experience in corporate finance or a G&A business partnering role
Proficiency with financial planning tools (e.g., Pigment, Anaplan, Hyperion, Adaptive) or HRIS/Procure-to-Pay systems
Ability to independently retrieve and analyze data using SQL
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$235,000
—
$317,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
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
We're hiring a Customer Marketing, Startups Lead to own our strategy for how Anthropic shows up in market with the startups building on Claude, from early-stage founders to our largest AI-native customers. You'll figure out how we can help startups grow, and find creative ways to amplify their stories to inspire more companies to do the same.
This is a role for someone who has led marketing at a startup and knows what founders need. You'll work closely with our Startups account teams to decide where co-marketing will create real value for both the startup and Anthropic. For the startups we prioritize together, you'll work directly with founders and their teams as a marketing partner on channels and the joint messages we take to market. Many of these companies don't have big marketing teams yet, so you'll also advise them on storytelling and growth.
This role is deeply cross-functional. You'll work with Startups Sales leadership, Startup Partnerships, Segment Marketing, Field Marketing, Partner Marketing, Product Marketing, Brand, Comms, and Legal. You'll set direction with senior leaders here and at our customers, and lead a team of startups customer marketers while staying hands-on in the work yourself.
Key responsibilities
Own startups co-marketing, including deciding which startups and moments are worth investing in
Be a marketing partner to founders and CEOs on channels and joint messaging, and advise companies without built-out marketing teams on storytelling and growth
Partner with Startups Sales leadership and embed in the deal flow so you can see deals coming and plan how co-marketing can support them
Work with account teams on the market development funds (MDF) in startup contracts, and own how those funds are deployed
Build programs that bring co-marketing to hundreds of startups, beyond our top accounts
Set the bar for startup storytelling and find creative ways to amplify those stories, from case studies and founder films to content on how startups use Claude
Find opportunities to bring startups into Anthropic's launches and campaigns
Work with Startup Partnerships and Segment Marketing on the Claude Startups program and our relationships with VCs and accelerators
Build a feedback loop that shares what founders care about with Anthropic's leadership and GTM teams
Lead and develop a team of startups customer marketers
Minimum qualifications
Have been a trusted advisor to founders and CEOs, and enjoy working closely with them
Know when co-marketing will create real value for both companies, and when it won't
Are a strong storyteller and writer who can tell what makes a founder's story worth telling
Have a deep read on what startups want, and can quickly see what will help a small marketing team most
Have led senior cross-functional work across Sales, Marketing, Product, and Comms
Can influence teams you don't own, and are comfortable presenting to executives
Have strong taste and judgment, and can say no, including to senior leaders
Are a player-coach, comfortable setting direction for a team and doing the hands-on work yourself
Are comfortable with technical products and can talk credibly with technical founders
Can keep up with a fast pace
Already use Claude in your own work
Care about Anthropic's mission
Preferred qualifications
Have 12+ years in B2B marketing, including senior marketing leadership at a startup, like CMO, VP of Marketing, or Head of Marketing
Been a founder or an early marketing hire at a startup
Worked in AI, developer tools, or another technical category
Worked at a company that sells to startups
Built relationships with VCs and accelerators
A network of founders and startup marketing leaders
Run co-marketing programs with real budget behind them
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York offices at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$400,000 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: Bristol
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.
As a
Field Manager
on Via’s Operations team in the
UK
, you are the force that keeps our services running reliably for the communities that depend on them. This is a high-ownership, boots-on-the-ground role where you’ll lead the daily operations of our
Westlink
service, tackle real-time challenges, and ensure our riders are transported safely and on time.
This is an in-person position with the expectation that you will be onsite at least 3 days per week.
About the Role:
Run daily onsite operations, ensuring safe, reliable, and accessible transportation for our riders.
Partner with a broad, cross-functional team to develop and scale the processes, systems, and tools that drive continuous optimization and support rapid growth.
Make real-time decisions on fleet, driver supply, compliance, rider needs, and unexpected issues - using data to quickly diagnose problems and keep service running smoothly.
Guide and support drivers, building strong relationships and coaching toward stronger performance in the field.
Turn rider and community feedback into concrete changes by spotting patterns and addressing root causes.
Act as the bridge between Via’s partners, drivers, and Via central teams, keeping everyone informed with clear, timely updates and resolving questions quickly.
About You:
Operationally experienced in people management, logistics, customer service, or other process-oriented work.
Relationship-oriented and a confident communicator who builds trust with drivers, riders, teammates, and city partners, adapting their message and tone to each stakeholder, whether that’s partners, customers, or driver colleagues from diverse backgrounds.
Hands-on and proactive, comfortable taking responsibility for employees, being in the field, and solving problems where they happen, even under pressure.
Analytically savvy and structured, using data and digital tools to prioritize effectively and improve our services.
Tactical and strategic, able to tackle issues in real time while thinking ahead and building solutions that prevent them from recurring.
Fluent in English.
Valid driver’s license in the UK, class B.
Nice to have, but not required: Completed Certificate of Professional Competence (CPC) training and Qualified Transport Manager status would be a plus, as would experience in fixed-line bus operations.
Compensation and Benefits:
Becoming part of a company that was awarded for its commitment to social good.
Salary Range: £40,000–£45,000. Final salary will be determined by the candidate’s experience, knowledge, and skills.
Comprehensive health scheme offered through AXA.
Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents.
Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI).
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
#LI-RB1
Location: Bristol
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.
As a
Field Manager
on Via’s Operations team in the
UK
, you are the force that keeps our services running reliably for the communities that depend on them. This is a high-ownership, boots-on-the-ground role where you’ll lead the daily operations of our
Westlink
service, tackle real-time challenges, and ensure our riders are transported safely and on time.
This is an in-person position with the expectation that you will be onsite at least 3 days per week.
About the Role:
Run daily onsite operations, ensuring safe, reliable, and accessible transportation for our riders.
Partner with a broad, cross-functional team to develop and scale the processes, systems, and tools that drive continuous optimization and support rapid growth.
Make real-time decisions on fleet, driver supply, compliance, rider needs, and unexpected issues - using data to quickly diagnose problems and keep service running smoothly.
Guide and support drivers, building strong relationships and coaching toward stronger performance in the field.
Turn rider and community feedback into concrete changes by spotting patterns and addressing root causes.
Act as the bridge between Via’s partners, drivers, and Via central teams, keeping everyone informed with clear, timely updates and resolving questions quickly.
About You:
Operationally experienced in people management, logistics, customer service, or other process-oriented work.
Relationship-oriented and a confident communicator who builds trust with drivers, riders, teammates, and city partners, adapting their message and tone to each stakeholder, whether that’s partners, customers, or driver colleagues from diverse backgrounds.
Hands-on and proactive, comfortable taking responsibility for employees, being in the field, and solving problems where they happen, even under pressure.
Analytically savvy and structured, using data and digital tools to prioritize effectively and improve our services.
Tactical and strategic, able to tackle issues in real time while thinking ahead and building solutions that prevent them from recurring.
Fluent in English.
Valid driver’s license in the UK, class B.
Nice to have, but not required: Completed Certificate of Professional Competence (CPC) training and Qualified Transport Manager status would be a plus, as would experience in fixed-line bus operations.
Compensation and Benefits:
Becoming part of a company that was awarded for its commitment to social good.
Salary Range: £40,000–£45,000. Final salary will be determined by the candidate’s experience, knowledge, and skills.
Comprehensive health scheme offered through AXA.
Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents.
Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI).
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
#LI-RB1
Location: Berlin, Germany
Workplace: hybrid
We are Kolibri Games - a mobile games developer from Berlin. We believe that with the best people, we can make games that players will enjoy for years to come.
Our games have defined the idle genre, and bring enjoyment to hundreds of millions of players all around the world. This is possible due to the talented people who make us who we are. ‘Kolibris’, as we call ourselves, are on a mission to continue making great games and we're looking for new talent to join our team. We strive to offer you a fair recruitment process and a great candidate experience, as well as a friendly environment to work in, with plenty of opportunities to learn and grow.
Senior Product Manager, LiveOps – Idle Bank Tycoon (f/m/d)
Idle Bank Tycoon (IBT) lets players around the world build their own banking empire, one upgrade at a time. As Senior Product Manager, you’llown the Live side of Idle Bank Tycoon (IBT), from strategy to execution, and you’ll be responsible for the game’s Live performance.
Our Lead Designer owns feature design and the macro economy. You and your team own the numbers behind it: you set the costs and rewards of every game element, in both soft and hard currency, and keep them well-tuned for as long as the game runs.
You’ll report to the Head of Game and work closely with the Producer and the Lead Designer. You’ll bring the right data into every conversation so the team can make good choices together.
Responsibilities
Manage and grow the Live squad of Idle Bank Tycoon, a cross-functional team that includes a game economy designer and an analyst
Shape the Live strategy and roadmap (events, offers, economy tuning). Set the LiveOps vision and goals with your team, and take Live events and offers from idea to launch
Be responsible for the Live economy and its balancing. Define and fine-tune the costs, rewards and prices of all game elements (features, upgrades, events, offers) in soft and hard currency, from launch values to ongoing balancing, and set up Live events and offers in our live content tool
Turn each new feature’s design into concrete cost and reward values that fit the economy and the Live roadmap
Keep a close eye on game metrics, dig into KPIs and recommend improvements that support long-term LTV. Get to know different player audiences and build segments with tailored balancing and offers
Run A/B and multivariate tests on the economy, events and offers to improve retention, conversion and monetization while reducing friction
Collaborate on KPI dashboards, and help us work out which tools and systems we need to build or improve so we can make the best in-game choices
Study the economies and live operations of games in relevant subgenres, and share practical insights with senior stakeholders and the wider team
Required Skills
5+ years in mobile F2P product, including at least one Live game at scale
Experience shaping the Live strategy of a similar mobile F2P game, ideally in the idle / tycoon genre
Hands-on experience running a LiveOps / event calendar, from planning to performance review
Experience managing a cross-functional Live team (economy design, analytics) and delivering improvements step by step, together
Experience A/B testing economy, event and offer assumptions to improve KPIs
Hands-on experience with BI and experimentation tools (e.g. Looker, Amplitude), and turning complex data into clear, practical recommendations that grow revenue
Strong communication skills and a collaborative way of working
Desirable Skills
Familiarity with tools such as Jira, Confluence, Google Play Console and App Store Connect
Experience with economy design in hybrid monetization (IAP and Ads), ideally for idle or tycoon games
Kolibri Games is an equal opportunity employer. We come from 40 different countries and many different backgrounds. We celebrate diversity and we are committed to creating an inclusive environment for all employees, regardless of their age, gender identity, sexual orientation, ethnicity, religion, physical appearance or disability.
We are an international studio, so don’t forget to send in your application in English. Although it is not mandatory, we always appreciate a cover letter stating your motivation to join us.
We look forward to hearing from you!
Your Benefits – We’re game to support you
Competitive Salary - We believe that top performers should receive top payment
Learning Budget - We believe in learning. A generous personal learning budget to spend on learning and development, including books, workshops and attending conferences. We also offer in-house training such as coding and German classes
Flexible Working Hours and Home Office – We believe in a good work-life balance
Equipment - State-of-the-art technical equipment, including laptops and phones, which may also be used in your free time
Kolicard - We offer you a monthly flexible budget of 50 euros that you can use for a gym membership, transportation, shopping etc.
Mobility budget - We offer a monthly budget that will make your commuting to work easier
Relocation - Relocation support to help you move to Berlin
Pension - Opportunity to save for your pension tax-free
Bonus Level – We love to have a good time, too
Food and Drinks - Fresh fruits to keep you healthy and fresh coffee to keep you alert. We also have a fully stocked fridge with Smoothies, Coke, Club Mate, beer etc
Parties and Team Events - Apart from our regular parties, BBQs and movie nights we also have a team event budget you can use to buy games or sports equipment to make working here even more fun
Company Holidays - Every year we go on an amazing company holiday to relax and bond as a team
Friday Celebrations - Company-provided dinner and drinks on Friday afternoons
Location: Singapore
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 an experienced Singapore-based Public Policy expert to lead Anthropic’s policy engagement in Singapore and across the region. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Southeast Asian government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how the region approaches AI regulation and safety during a critical period of governance development.
As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Southeast Asia, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Singapore and the region from the ground up.
In this role, you will:
Conduct comprehensive mapping of key Southeast Asian AI policy stakeholders and build strategic relationships with government and regional multilateral officials, think tank researchers, and civil society leaders
Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Southeast Asia context
Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics
Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents
Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests
Develop new programming and generate opportunities for Anthropic to regularly engage with regional policymakers, think tanks, and non-profit organizations
Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to national regulatory environments
Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy
Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development
Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in Southeast Asia
You may be a good fit if you:
Have 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments
Have a track record of effective, information-rich advocacy with the government of Singapore and other regional governments and multilateral organizations
Have experience analyzing legislation and engaging in regulatory processes
Are energized by agency — you will be the first policy hire in the region and will be building the operation from scratch
Enjoy drafting and executing complex policy campaigns that move the needle
Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information
Excel at translating high-level vision into executable operational plans
Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics
Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes
Preferred Qualifications:
AI/Technology industry experience heavily preferred
Experience working with international companies or organizations
Academic or think tank background in AI policy or related fields
Experience in both government and private sector roles
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic funds delivery partners to help customers adopt Claude, through assessments, workshops, proofs of concept, and full delivery engagements. Our partner request process is the front door for all of it: an account executive (AE) requests partner support, and the request is checked against program rules and matched to a partner.
Commercial is the program's highest-volume segment, and the one where a quick introduction and the right match matter most. Automation now drafts the first match and the introduction, and a vendor delivery team handles day-to-day follow-up and tracker updates. What's left is the work that needs a person sellers trust.
You'll be the one Activations contact for US Commercial sellers once a request is in, from submission to a partner on a signed statement of work (SOW). Partner Sales Managers (PSMs) attach the partner and own the opportunity, and at their volume they move on to the next deal. You'll own the follow-through: matching and re-matching, getting AE and customer introductions to happen, handling exception requests, and working the special cases that don't fit the standard path. Decision rights are clear: the program lead sets program rules, targets, and exception policy; you apply them on Commercial requests, decide what the rules already cover, and bring the rest with a recommendation.
We're looking for a partner seller or channel operator whom sellers and partners trust, who is comfortable owning a high-volume book, and who keeps following up until each request is closed. Success in this role comes down to three things: how quickly Commercial requests move from AE introduction to customer introduction and on to a signed SOW, whether sellers know exactly who to go to and get a straight answer, and whether exceptions are handled the same way every time.
Key responsibilities
Serve as the single point of contact for the AE, the PSM, and the partner on every US Commercial request, from submission to confirmed SOW, so sellers deal with one person instead of several
Answer "Where is my request?" with the current status, the blocker, and the next step with a date, and keep each request's record accurate enough that the answer is already written down
Join the PSM pipeline and activation calls every week so requests don't slip between PSMs, and leave each call with an owner and a date on every open Commercial request discussed
Own the request and its follow-through within clear boundaries: the PSM owns the opportunity, partner attach, and getting the SOW signed; the partner manager owns the partner relationship; and you hand over cleanly to Partner Success once the SOW is confirmed
Confirm the first match that automation drafts from the partner bench, change it when it's wrong for the customer, and own the matching decision on Commercial requests; check that a partner has capacity before introductions go out, and spread work so no partner holds more open introductions than it can take
Re-match quickly when a partner declines, stalls, or is turned down by the AE, record the reason, and make sure the request has an owner in between
Review where Commercial matches are declined or lost, and turn repeat causes into changes to the matching rules
Follow up on automatically drafted introductions that an AE hasn't approved, and resolve what the escalation rules send to you; step in when a partner's booking of the customer introduction stalls, and work with the AE or their manager to unblock it
Run the regular review of aged Commercial requests, making sure each one has a recorded decision (introduction made, customer not ready, re-match, or close out) and a follow-up date
Track every Commercial request from partner named to confirmed SOW, publish the baseline for that stage, and remove the blockers that sit with Anthropic
Be the first stop for Commercial exception requests, including special order-form terms: resolve what the rules already cover, bring the rest to the program lead with the history, the blocker, and a recommended action, and log every exception consistently so approvals follow the agreed routing and can be audited later
Work through cases the standard path doesn't fit, such as small and medium business (SMB), insurance, and other segment-specific use cases, and write down how each type is handled so the next one is faster
Run tests of new funding programs, which start in Commercial, with sellers and partners, and report back what worked, what confused people, and what should change before a wider launch
Teach Commercial AEs and their managers how to request a partner, how one-click introductions work, and what the response rules are, so requests arrive complete the first time; make sure PSMs and partner managers know the stage targets, who to contact once a request is in, and how escalations work
Work with the activation systems and operations lead to turn repeat exceptions and repeat questions into rule changes or automation, so fewer requests need a person each quarter
Use Claude to prepare for pipeline calls, draft follow-ups, and summarize the state of your book, and propose the next manual step worth automating
Work US hours with a regular overlap window with the London-based program lead, and hand off cleanly so Commercial sellers have coverage across time zones
Minimum qualifications
Experience in partner sales, channel, or partner operations in B2B technology
Experience working with services partners or systems integrators: matching them to customer work, judging fit and capacity, and holding them to commitments
Experience working alongside AEs and sales managers on live deals, and able to get a response from a busy AE while keeping the relationship strong
Sound judgment on exceptions: knows the difference between a case the rules already cover and one that needs a decision, and makes a clear recommendation on the second kind
Persistent, courteous follow-through with internal and external stakeholders, and doesn't let items slip past their deadline
Clear, concise writing: short messages people act on, and escalations that give the facts, the ask, and a recommendation
Comfortable with ambiguity and rules that change often: asks good questions, writes the answer down, and applies it consistently
Works comfortably with records and reports in Salesforce
Uses Claude or similar AI tools in day-to-day work
Preferred qualifications
Experience as a Partner Sales Manager or in a closely related role
Experience using Claude specifically in day-to-day work
Experience with partner funding, market development funds (MDF), or co-sell programs
Experience with order forms and SOW workflows
Experience selling into SMB or insurance
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:
$170,000
—
$215,000 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, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you’re curious, bold, and excited to help shape a borderless financial future, we’d love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
THE ROLE
We're hiring a Product Compliance Manager to make sure every product Rain ships is compliant by design. You'll sit between Product, Engineering, Legal and Compliance, turning regulations and card network rules into clear product requirements before code is written, not after launch.
Rain moves fast: partners go live in weeks, and new products like embedded wallets, credit and prepaid programs, and agent-issued virtual cards keep coming. You'll own the compliance review that lets that speed hold up with regulators, the networks, our bank partners and auditors.
WHAT YOU'LL DO
- Own product compliance reviews. Assess new products, features and partner programs end to end, from PRD to launch, and sign off on the compliance requirements each one needs.
- Translate rules into requirements. Turn regulations and network rules into concrete specs, controls and acceptance criteria that Product and Engineering can build against.
- Keep card programs network-compliant. Own adherence to Visa and Mastercard operating rules as a Principal Member, including program approvals, network registrations and periodic attestations.
- Cover consumer protection. Apply Reg E, Reg Z, TILA, UDAAP, ECOA and state requirements to cardholder agreements, disclosures, fees, rewards and dispute flows.
- Review partner programs. Assess partner use cases, marketing materials, cardholder terms and onboarding flows before launch, and monitor them after.
- Partner with Financial Crimes. Make sure KYC/KYB, sanctions screening and transaction monitoring requirements are built into products such as wallets, payouts, onramps and offramps.
- Track the landscape. Follow stablecoin, payments and money transmission developments in the US and abroad, including federal stablecoin rules and MiCA, and flag what changes our roadmap.
- Build the program. Maintain product compliance policies, the review process, a product risk inventory and the evidence trail that bank partners, networks, regulators and auditors ask for.
WHAT WE'RE LOOKING FOR
- 5+ years in product compliance, regulatory compliance or a similar role at a fintech, card issuer, program manager, sponsor bank or payments company.
- Hands-on knowledge of card issuing: Visa and/or Mastercard operating rules, prepaid and credit programs, and the issuer–processor–program manager model.
- Working knowledge of US consumer financial regulation, including Reg E, Reg Z, UDAAP and state money transmission rules.
- A track record of reviewing products before launch and writing requirements that engineers actually build from.
- Sound judgment on risk: you know when to say "yes, if" and when to say no, and you can explain both.
- Clear writing for very different readers, from an engineer's ticket to a bank partner's due diligence questionnaire.
NICE TO HAVE, BUT NOT MANDATORY
- Experience with stablecoins, digital assets or crypto-linked card programs.
- Exposure to international regimes such as MiCA, UK FCA rules or APAC payments licensing.
- Background at a Principal Member issuer or sponsor bank, including network audits or bank partner exams.
- Familiarity with BSA/AML, OFAC and FinCEN requirements.
- A JD or a certification such as CAMS or CRCM.
- Comfort reading API docs and working inside tools like Linear, Jira or Notion.
THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN:
- Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off.
- Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you’d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment.
- Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.
- Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match.
- Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success.
- Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing.
- Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
- Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.
Location: EMEA - Remote; USA - Remote
Workplace: Remote
ABOUT POLYGON LABS
Polygon Labs is a global blockchain payments company building and operating infrastructure to move money instantly, reliably, and at internet scale, with the mission to move all money onchain. It is building the Polygon Open Money Stack, an open and integrated stack of services and technologies to instantly and reliably move money anywhere, and put it to work. Its infrastructure has facilitated trillions of dollars in onchain value transfer and supported millions of transactions daily for some of the globe's largest banks, fintechs, enterprises, and consumer applications.
AI PLATFORM ENGINEER
ABOUT THE ROLE
We are hiring an AI Platform Engineer to help build the platform that powers every agent at Polygon Labs. Polygon is a cryptocurrency company focused on on-chain payments infrastructure. As we shift to having agents manage the majority of work across engineering, business development, compliance, support, and finance, people will supervise and guide those agents while making key decisions.
You will join a small, flat Platform Team reporting to the AI Platform Lead. This team owns the entire AI platform, including the agent runtime, MCP servers, guardrails, evaluations, observability, and spend tracking. The team proactively identifies opportunities where AI can accelerate, improve, or automate work company-wide—including tasks that haven’t yet been automated.
Our internal customers are Operators: domain experts in every function who manage fleets of agents and define standards of quality. This is a hands-on IC role, where you will write code, ship to production, and take ownership of your deliverables.
YOUR RESPONSIBILITIES
- Move agentic workflows into production, taking prototypes to robust systems for real users and owners, with SLAs (e.g. spec-to-PR agents, AI code review, incident triage, KYB review).
- Build and manage MCP servers, including system design, hosting, security, authentication (e.g. per-user OAuth), and keeping a clean connector inventory for Slack, GitHub, Jira, HubSpot, and internal services.
- Develop autonomous agents that act and plan across tools through trust stages: shadow, suggest, execute, and autonomous.
- Embed guardrails into the platform, providing each agent its own identity, scoped credentials, audit logs, CI checks, approval gates, allowlists, and least-privilege access.
- Build evaluation frameworks (test sets, regression suites, live scoring in production) so every agent releases with quality metrics tied to business outcomes.
- Instrument agents for observability: tracing, logging, latency, cost, drift detection, and daily dashboards for Operators.
- Track AI spend across providers (Anthropic, OpenAI, OpenRouter), setting budgets, alerts, and spend attribution to teams, agents, and workflows.
- Support Operators by developing features from their requests, writing documentation, running enablement sessions, and building self-service tools.
- Create skills and plugins centralizing company knowledge (processes, standards, security, brand), versioning and reviewing these to ensure consistent, repeatable agent output.
- Proactively find and automate manual, repetitive processes across the company, measuring outcomes and iterating rapidly.
WHAT YOU'LL NEED
- 5+ years as a software, platform, or infrastructure engineer, including experience prior to AI coding tools. Solid grasp of system design, data modeling, testing, debugging, and code review.
- 6-12 months shipping LLM-based systems to production, with agentic workflows in use by real end users.
- Daily, hands-on experience with AI coding agents like Claude Code and Codex to write, test, and review production code.
- Experience building autonomous or multi-step agents with tool use (Claude Agent SDK, Anthropic/OpenAI APIs, or similar).
- MCP server experience (OAuth flows, scoped tokens, user-level access control).
- Identity and access experience: Okta (or similar IdP), SSO (SAML/OIDC), SCIM provisioning, group-based and device policies.
- Creating automated system identities (GitHub Apps, service accounts, API keys, secret managers like 1Password).
- Designing guardrails: least-privilege, audit logs, CI checks, approval gates, allowlists, and policy-as-code.
- Creating evals for LLM systems: test sets, rubrics, CI regression, release gates, and live production scoring.
- Instrumenting production system observability: tracing, metrics, alerting, dashboards (OpenTelemetry, Grafana, Datadog, Langfuse, LangSmith, Braintrust).
- Tracking AI spend across vendors: per-key limits, cost centers, budgets, actionable alerts.
- Strong in at least one of TypeScript, Python, Go; working knowledge of CI/CD (GitHub Actions/etc), cloud infrastructure.
- Track record of independently identifying and automating manual processes (two or three concrete examples).
- Clear, concise written communication (specs, runbooks, RFCs).
PREFERRED QUALIFICATIONS
- Cryptocurrency, blockchain, payments, or fintech experience (regulated industry/audit a plus).
- Experience writing agent skills, plugins, or shared prompt libraries for organizational reuse.
- Familiarity with model gateways (OpenRouter, LiteLLM, Portkey): key management, routing, fallback.
- Experience extending open-source coding agents (OpenCode, Pi).
- Awareness of emerging agent identity standards (MCP enterprise-managed auth, Okta Cross App Access).
- Context/retrieval engineering: vector stores, agent memory, permissioned retrievals.
- ML engineering: model evaluation, fine-tuning, model routing.
- Experience with agent runtimes/sandboxes (Modal, n8n, containerized environments).
- Public technical work: open-source tools, servers, blog posts, talks about agent production experience.
HOW YOU’LL WORK
- Treat Operators as the customer—supporting engineers and non-engineers in every business function.
- Listen to needs, refine vague asks into actionable requirements, and communicate technical concepts plainly to executives or subject matter experts.
- Assertively but diplomatically push back on unsafe or low-value requests, suggesting alternatives.
- Operate autonomously: write specs, break down projects, ship and iterate independently, and communicate progress asynchronously across time zones.
- Use judgment to distinguish critical automations from temporary demos, and validate changes with affected users.
- Own outcomes post-merge: pilot, monitor, fix, and iterate as needed.
- Work transparently in public channels, tickets, written docs, and runbooks.
- Create reusable assets (skills, plugins, templates, tools) from frequent learnings or solutions, making them broadly accessible across the company.
SUCCESS IN 90 DAYS
- 30 days: Ship production changes to a live system (e.g. AI SDLC pipeline, code review, or spend analytics). Gain familiarity with agent runtime, MCP servers, spend tracking.
- 60 days: Take end-to-end ownership of a platform area, publishing a spec and meeting with relevant Operators.
- 90 days: Ship an agent with live-scored eval suite and Operator dashboard; complete an Operator request independently; propose and launch at least one unsolicited automation.
POLYGON LABS PERKS
The goal of the Polygon Labs total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes the following benefits for our full time employees:
- Remote first global workforce
- Industry leading Medical, Dental and Vision health insurance*
- Company matching 401k with 3% match*
- $1,500 Home Office Set Up Allowance (life-time max)
- $200 Annual Book Allowance Program
- $75 Monthly internet or phone reimbursement
- Flexible Time Off
- Company issued laptop
- Egg freezing, mental health, and employee wellness benefits
*In certain countries medical, dental and vision is fully covered for employees & their dependents. This is country and plan specific.
*401k is for United States employees only
Polygon Labs is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Polygon Labs is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.
If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.
Learn More about Polygon Labs
Website https://polygon.technology/ |Twitter https://twitter.com/0xPolygon|Telegram https://t.me/polygonofficial |Reddit https://www.reddit.com/r/0xpolygon/ |Discord https://discord.gg/0xpolygoncommunity |Instagram https://www.instagram.com/0xpolygon/ |Facebook https://www.facebook.com/0xPolygon.Technology |LinkedIn https://www.linkedin.com/company/13449964/admin/
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
About the Team:
We build the shared ML and AI capabilities that power experiences across our consumer products. Our work spans the platform that enables teams to develop, evaluate, and deploy models, and the intelligence that helps those models understand content, people, and communities. We partner with consumer product teams and infrastructure engineering to turn advances in ML and AI into reusable capabilities that improve discovery, personalization, and other consumer experiences.
About the Role:
We’re looking for a senior individual contributor to lead product strategy across ML Platform and ML Understanding. Reporting to Consumer product leadership, you’ll shape the foundations that help teams build better products: from reliable, efficient model development and deployment to richer classifications and representations of content and users.
This role combines technical depth, consumer product judgment, and organizational influence. You’ll connect needs across applications, identify the investments with the greatest shared value, and align product and engineering leaders around a coherent strategy with measurable outcomes.
What You'll Do:
Set the strategy for shared AI foundations.
Define a multiyear vision and prioritized roadmap spanning ML platform capabilities and content and user understanding.
Connect foundational investments to consumer outcomes.
Translate needs across recommendations, search, discovery, and emerging AI experiences into clear requirements and investment priorities.
Advance content and user understanding.
Guide investments in classification, taxonomies, embeddings, multimodal understanding, and representations of user interests and intent.
Improve the ML development lifecycle.
Partner with engineering on capabilities for data and feature access, training, inference, evaluation, deployment, and monitoring.
Make shared capabilities useful and widely adopted.
Establish clear interfaces, onboarding paths, and feedback mechanisms that help application teams build on common foundations.
Lead investment and technical tradeoffs.
Align senior partners on sequencing, dependencies, and decisions involving model quality, flexibility, reliability, latency, and cost.
Define and demonstrate success.
Measure platform adoption, development velocity, model and representation quality, operational efficiency, and downstream improvements in consumer experiences.
What We're Looking For:
A track record of leading complex ML or AI products, with experience in shared platforms, recommendation systems, search, or related technical domains.
Strong technical fluency across the ML lifecycle and the ability to engage deeply with engineering and applied science partners on architecture and investment decisions.
Experience with content understanding, classification, embeddings, or user representations, and an understanding of how their quality affects consumer products.
Product judgment that connects foundational capabilities to concrete user needs, adoption, and measurable business impact.
Demonstrated ability to establish direction across multiple teams, resolve competing priorities, and influence senior leaders without direct authority.
Comfort defining strategy in ambiguous spaces while maintaining clear priorities, credible execution plans, and accountability for outcomes.
Sound judgment about evaluation, data quality, privacy, and the responsible use of content and user signals.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$260,800
—
$365,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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 Claude Partner Network is how partners build, sell, and deliver on Claude. Partner Support keeps them moving: getting set up, getting certified, registering their work, and understanding where they stand in the program. It runs in layers. Self-serve and an AI support agent handle what they can, an outsourced vendor team works the in-scope (L1) topics, and our specialists take the escalated (L2) cases that need judgment.
As our Partner Support Operations Lead, you will run partner support end to end: the team, the operating model, and the systems behind every layer. Partner Programs sets program policy. You will build and run the service levels, knowledge, quality bar, and escalation paths that put that policy into practice, and keep them reliable as volume grows.
This is a hands-on operator and builder role. You will be close enough to the queue to know why a case was hard or a rule broke, while you build the team, the vendor coverage, and the Claude-powered automation that keep support from growing in line with partner count.
Key responsibilities
Manage the partner support team: set priorities and clear expectations, coach the Partner Support Specialists, address performance early, and expand the team if volume or coverage calls for it
Own the support operating model: the L1 and L2 boundary, severity definitions, service levels, and escalation paths; review misrouted and wrongly escalated tickets, and fix the rule as well as the ticket
Run the L2 queue to its service levels: coverage across shifts, one owner for every case, clean handoffs to the teams that hold the answer, and careful handling of sensitive and high-impact partner issues
Manage the support service line with our business process outsourcing (BPO) team: work with their leads day to day and hold a stated quality bar through training and sign-off for each new cohort, the QA rubric and calibration, the weekly operating review, and corrective action when quality or coverage slips
Own the knowledge layer: one source of truth for the help center, macros, and AI agent content, updated when a program change ships, so every layer gives partners the same answer from day one of a launch
Own the support platform: routing, conversation attributes, views, workflows, access, and service-level reporting; keep the taxonomy short, consistent, and reportable
Scale through self-serve, vendors, and Claude: use topic and outcome data to decide what moves to each, and build automations for tagging, routing, QA screening, and reporting; test them on real tickets and add human checkpoints where a wrong answer carries risk
Turn what partners ask into fixes: bring the recurring causes behind ticket volume to Partner Programs, Partner Business Systems, and other owners, and follow each one through until the tickets stop
Run support on a scorecard covering responsiveness, resolution, escalation accuracy, and quality, and use it to plan capacity and to tell the team, the vendor, and leadership what to fix next
Minimum qualifications
Support operations experience at a technology company, including managing a small team
Experience running an outsourced or BPO support team: onboarding waves, service levels, QA rubrics, calibration, and performance feedback
A track record of building a tiered support model from an early stage and running it as volume grew
Hands-on depth in Intercom or a comparable platform (Zendesk, Salesforce Service Cloud): routing rules, attributes, workflows, reporting, and permissions
Experience running knowledge and content for an AI support agent, including how to review answer quality and close content gaps
Strong analytical instincts: able to read ticket data, find the cause behind a spike or a backlog, and turn it into a fix and a capacity plan
Sound judgment while the program is still moving: able to make the call with incomplete information, hold a policy line with a frustrated partner or an internal stakeholder, and keep the relationship intact
A builder's mindset and clear writing: you use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it
Preferred qualifications
Support operations experience in a B2B, partner, or channel environment
Experience supporting a partner, reseller, systems integrator, or independent software vendor (ISV) program
Experience building support coverage across regions, time zones, or languages
Familiarity with Salesforce, and with the Claude API, Claude Code, or MCP
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:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions.
Key responsibilities
Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes
Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize
Manage and develop a small team of Product Data Scientists
Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value
Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses
Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations
Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions
Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow
Minimum qualifications
Have extensive experience in data science, including leading analytics for a growth or product area at significant scale
Have 5+ years managing data science teams, including setting team direction and developing senior data scientists
Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision
Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information
Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work
Communicate clearly in writing and in presentations, including to executive audiences
Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
Care about the company’s mission of building helpful, honest, and harmless AI
Preferred qualifications
Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling
Experience with targeting, personalization, or uplift models in production
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$460,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform.
In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost.
In this position, your responsibility will be to
Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines.
Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components
Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments
Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it
Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals
Monitor resource usage, bandwidth consumption, and infrastructure cost
Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics
You may be a good fit if you:
5+ years of experience building product critical backend services
Strong Go and Python Experience
Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines)
Understanding of Information Retrieval flows and pipelines
Experience operating production systems and debugging failures in distributed environments
Strong understanding of scalability, fault tolerance, and resource management
Are interested in either a strong senior
IC
role or a role with significant technical leadership and ownership.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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
Resellers are a major route for organizations to buy Claude. Our reseller program runs across two motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. Each motion brings its own agreements, systems and cloud counterparts, and the program is expanding across regions at the same time.
As our Resale Operations Lead, you will run resale operations: how resellers get authorized, transact, get reported on, get paid and get supported, across both motions and every live cloud. The resale business team sets the strategy and the commercial framework. You will build and run the processes, playbooks and team that put that framework into practice, and keep them reliable as volume grows.
This is an operator and builder role, not a partner manager role. You will be hands-on in the detail of a private offer or a partner quote while you build the team, the vendor coverage and the Claude-powered automation that keep resale operations from growing in line with partner count.
Reporting to Head of Partner Operations and Systems · San Francisco or New York based
What you'll do
Lead the resale operations team: set priorities, coach the reseller operations managers, and keep every region on the same playbooks rather than a set of local processes.
Build the resale runbook and launch kit across AWS, Google Cloud and Microsoft, so that authorizing, onboarding and supporting a reseller works the same way wherever it can, and each new cloud comes online from the kit.
Run hyperscaler resale operations: marketplace authorizations and private-offer processing with the cloud alliance teams, and operational escalations with AWS, Google Cloud and Microsoft, raised through the cloud alliance teams.
Stand up direct resale operations: partner quotes in Salesforce CPQ, order forms, booking and provisioning, and commit tracking and true-ups, working with Deal Desk, Commercial Operations, Finance and Tax.
Operate the program rules as controls that can actually run: deal registration to the published policy, eligibility checks, margin and rebate data, and the unauthorized resale process. Flag early what cannot be operated yet.
Own the reseller transaction data, so that every reseller transaction traces to an end customer under the attribution rules Partner Strategy and Operations governs, partners are paid accurately and partner-sourced revenue can be measured.
Scale through vendors and Claude: propose which resale work moves to outsourced teams or to Claude, run the vendor team's resale scope to a stated quality bar, and build automations with human checkpoints where a wrong decision carries risk.
Run resale on a scorecard: application decision time, registration cycle time, attribution coverage, payout accuracy and launch readiness. Use it to tell the team and leadership what to fix next.
What might make you a good fit
Channel, reseller, distribution or partner operations experience at a technology company, including managing a small team.
Hands-on depth in both motions: cloud marketplace resale (authorizations, private offers, deal registration) and direct or contract-based resale (quote-to-order, partner billing).
A track record of building a resale or channel operations process from an early stage and running it as volume grew.
Fluency in order-to-cash, including Salesforce CPQ or a comparable tool and the Finance, Deal Desk, Legal and Tax coordination that comes with it.
Experience managing outsourced or vendor teams: scope, service levels, quality sampling and performance feedback.
Sound judgment while the program is still moving. You can make the call with incomplete information, hold a control under pressure from sales or a partner, and keep the relationship intact.
A builder's mindset and clear writing. You use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it.
Strong candidates may also have
Experience on the partner or marketplace side of a hyperscaler, or in operations at a major distributor.
Experience running partner rebate, margin or incentive operations, or launching a resale program in EMEA or APAC.
Familiarity with the Claude API, Claude Code or MCP.
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:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States; Seattle; New York; California; Toronto
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role summary:
The Content Strategist decides what the team makes and why. This role sets direction across all content streams by defining audiences, prioritizing based on business impact, and building the measurement framework that proves (or disproves) the work is paying off.
Core responsibilities:
- Define content strategy, pillars and priorities within each stream, tied to concrete business goals (pipeline generation, developer adoption, retention, brand awareness)
- Build audience segmentation per stream. For example, a prospective customer, a developer evaluating the product, and an existing customer being featured in a case study all need different treatment
- Own the measurement framework and reporting: SEO/traffic for blog and thought leadership, adoption/engagement for developer content, sales-assist and pipeline influence for customer stories, funnel metrics for product content
- Translate strategy into concrete briefs the Managing Editor can schedule and the Content Editor/Staff Writer can execute against
- Present content performance and ROI to the Head of Editorial Content and cross-functional stakeholders
- Drive content calendar development and planning
- Explore new content opportunities and channels
- Present ROI and performance insights to leadership
- Collaborate with Growth Marketing on messaging strategy
Qualifications
- 5+ years of experience in content strategy, content marketing, or a closely related discipline
- Experience with SEO, analytics tooling, and attribution modeling
- Track record connecting content output to business outcomes, not just vanity metrics
- B2B or technical industry experience is a strong plus given the developer content component
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
leadSydney, Australia
Не хотите искать каждый день?
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leadSan Francisco, CA | New York City, NY; For this role, we expect all staff to be able to work from our San Francisco or New York offices at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation
География найма не уточнена
География найма не уточнена
ГибридseniorBerlin, Germany; Relocation - Relocation support to help you move to Berlin
Singapore
leadSan Francisco, CA | New York City, NY; Work US hours with a regular overlap window with the London-based program lead, and hand off cleanly so Commercial sellers have coverage across time zones
ГибридNew York, NY
УдалённоOperate autonomously: write specs, break down projects, ship and iterate independently, and communicate progress asynchronously across time zones; EMEA - Remote
УдалённоRemote - United States
leadSan Francisco, CA | New York City, NY; Experience building support coverage across regions, time zones, or languages
leadSan Francisco, CA | New York City, NY | Seattle, WA
seniorTel Aviv, Israel
leadSan Francisco, CA | New York City, NY
УдалённоUnited States; Seattle; New York; California; Toronto; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities