Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
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as we build technology that transforms how the world develops software.
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About the role
As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability.
This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority.
Why you’ll love this role
Leverage:
Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship.
Genuinely Hard Problems:
You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users.
Influence Without Bureaucracy:
You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs.
Frontier AI Work:
You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on.
Autonomy:
You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
What you’ll do
Lead Cross-Cutting Initiatives:
Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups.
Own Architecture Strategy:
Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl.
Set the Standards:
Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely.
Establish Shared Patterns:
Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem.
Own What You Build in Production:
Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence.
Influence and Partner:
Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs.
Grow Engineers:
Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team.
Lead AI Adoption:
Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output.
What you’ll bring
Cross-Team Technical Leadership:
A sustained record of technical leadership across more than one team or a broad product area.
Deep Architecture Experience:
Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components.
Modularization in Production:
Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach.
Influence Without Authority:
A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation.
Product Judgment:
The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment.
Mentorship:
Experience mentoring engineers and shaping standards through code review, documentation, and example.
Agentic AI Leadership:
Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them.
Helpful experience
Go services and APIs at scale.
Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness.
Rust adoption or production ownership for systems, security, performance, or platform components.
Ruby/Rails modularization and large-monolith modernization.
PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems.
Security-sensitive product or software supply chain engineering.
Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
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GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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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 hiring our first Sydney-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day-to-day. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.
Note: Specialists in Sydney will work 12pm to 8pm, Monday to Friday.
Responsibilities
Become an expert in all Anthropic products
Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses
Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model and assisting consumer users at a rapid pace
Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical “pager duty” during APAC hours to ensure 24/7 support for critical queries
Prioritize critically and comfortably adapt to an ever-evolving product landscape
Operate in ambiguity, making informed decisions even in never-before-seen situations
Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates
Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products
You may be a good fit if you
Have experience in providing technical product support within a second-tier, escalated, or priority support team
Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g., CSAT, SLA, etc.)
Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
Have crisp but kind written communication skills and a deep care for the details
Enjoy helping others learn about new features and complex concepts
Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
Have experience contributing to the foundations of a support team. This is essential, highly valuable, but often unglamorous work, and it is particularly key for this role due to it being among the first Support hires in APAC/ANZ
Are proficient at working in a technical environment and are interested in Anthropic’s products
Possess a deep sense of ownership, and are excited to help us build our team!
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.
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: Washington, DC
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!
Senior Account Executive, Federal Civilian (US)
Why this role?
As a Senior Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with Federal Civilian Departments and Agencies in the United States.
In this role you will be focussed on business development activity within the non-defense Cabinet Level Agencies in the United States, including Department of Veterans Affairs, State Department, and Treasury among others.
We’re looking for an approachable and compelling communicator who loves working with public sector customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment.
As a Senior Account Executive, you will:
- Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across US Federal Civilian organizations.
- Develop and execute a sales plan for the 14 non-defense Cabinet level agencies in the United States.
- Act as a trusted advisor and thought partner to public sector customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value
- Work closely with channel partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success
- Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships
- Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions
- Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth
- Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment
You may be a good fit if you have:
- 10+ years of direct public sector sales experience in the US Federal Government, with a proven track record of closing $5M+ annual quotas.
- Deep knowledge of federal procurement cycles and decision-making processes, how to work with resellers, VARs and distributors.
- Established network in the D.C. metro area, including federal agencies, prime contractors, and industry associations.
- Experience selling SaaS, AI/ML, or enterprise software solutions to government clients.
- High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up
- Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals
- Creativity and strong technical acumen to structure unique, mutually beneficial partnerships
- Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences
- Must be based in Washington, D.C., Maryland, or Virginia with willingness to travel (25-35%).
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ)
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
The Solutions Team are technical experts that work directly with customers and partners to provide world-class product, sales, industry, and domain expertise. Through deep customer/partner and product understanding, Partner Consultants are trusted advisors externally, and able to positively influence the product roadmap internally. Partner Consultants support Ramp’s Partner Managers across our diverse channel ecosystem — including accounting firms, value-added resellers, private equity firms, and more — by delivering deep product expertise and workflow advisement to partners and their clients. PCs build partner competency, guide best-practice adoption, and strengthen partner trust in Ramp’s capabilities to help them drive meaningful outcomes for the businesses they serve.
WHAT YOU’LL DO
- Partner with Channel, Partnerships, Sales, Product and Partner Firms to advocate for product & integration development in-line with customer needs
- Collaborate with Ramp Channel Partner Managers to showcase technical accounting features and benefits through customized product demos, workflow illustrations, and enablement creation to onboard and train Ramp's partners
- Help partners build service packages targeted at Ramp customers and identify opportunities for client-advisory services or managed-services. Develop product solutions based on a deep understanding of integration and configuration options, ensuring effective alignment with customer needs
- Architect, advise on, and validate custom API-based integrations between Ramp and third-party platforms — supporting partners in the design, build, and testing of reliable, scalable integrations.
- Support Sales and Post-Sales teams in executing advanced technical and accounting implementations for Ramp in conjunction with Channel partners
- Evaluate customer requirements for new partner opportunities, determining Ramp's suitability through use-case analysis, ROI assessments, and technical evaluations during customer discovery
- Work alongside Channel, Product, Product Marketing, and Product Operations to create and maintain technical assets and an internal knowledge base of customer use cases and best practices
WHAT YOU NEED
- 6+ years of experience in Partner Architecture, Solutions Consulting, Sales Engineering, Solutions Architecture, or similar customer-facing roles, focusing on implementing business SaaS solutions
- Bachelor's degree in computer science, engineering, business, finance, accounting or related field
- Strong communication skills: able to translate complex technical solutions into business value, guide customers toward scalable approaches, and diplomatically steer conversations when requests are misaligned with best practices or product capabilities
- Experience in channel sales, working with SIs & ISVs highly desired
- Expertise in API architecting between finance based software programs
- Proficiency in IdP, HRIS, and/or ERP solutions. Expertise in accounting systems, controllership needs, and finance/accounting workflows
- Exceptional organizational, project management, and time management abilities
- Strong skills in engineering, system design, and technical specification writing
- Proactive mindset, adaptability, and comfort in a fast-paced, high-growth startup environment
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Philippines
Workplace: Remote
ABOUT THE ROLE
The Compute & Infrastructure Accounting team supports accounting and financial reporting for OpenAI’s rapidly evolving cloud computing, data center, server, equipment, colocation, software and data, and other AI infrastructure arrangements. We’re seeking a hands-on Contract Accountant to support recurring close and day-to-day operational accounting for these costs.
The contractor will translate contract terms, pricing, delivery, usage, invoices, and operational data into accurate accruals, true-ups, journal-entry support, reconciliations, and variance explanations. This role works closely with Compute & Infrastructure Accounting, Technical Accounting, Procurement, Strategic Finance, Data Engineering, and external vendors to resolve exceptions and keep accounting outputs timely, complete, and audit-ready. The contractor will use approved AI tools to reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage.
This role does not make final accounting conclusions or approve journals, payments, vendors, contracts, or access; it does not negotiate contracts or commit company funds. Success is measured by accurate and timely close deliverables, well-supported reconciliations, prompt exception resolution, dependable cross-functional communication, and adherence to established controls.
RESPONSIBILITIES
Close and Operational Accounting
- Prepare and support assigned month-end and quarter-end close activities, including accruals, true-ups, journal entries, reconciliations, rollforwards, balance-sheet substantiation, and flux or variance analysis.
- Prepare journal-entry support and submissions, including account and cost-center coding; monitor approval, posting, and rejection status and coordinate timely follow-up with authorized employees.
- Perform vendor- and contract-level reconciliations, monitor actuals against accruals, resolve differences, and support recurring management reporting.
- Support lease, fixed-asset, construction-in-progress, and related infrastructure accounting as assigned, including data capture, schedule maintenance, modifications, and period-end entries.
Contract, Invoice, and Data Validation
- Maintain complete and accurate contract and pricing records across new agreements, amendments, credits, delivery or drawdown changes, extensions, and terminations.
- Translate commercial terms into accounting inputs and operating workflows and ensure relevant changes are reflected in recurring accounting processes.
- Validate vendor invoices and operational data against rates, usage, commitments, delivery, resource attributes, and accounting mappings.
- Investigate exceptions, document root causes and resolutions, track open items and bottlenecks, and coordinate follow-up through completion.
Controls, Audit, and Issue Resolution
- Follow established accounting policies, standard operating procedures, close calendars, review requirements, and approval workflows.
- Execute control procedures over source data and workpapers, including completeness and accuracy checks, evidence retention, and reviewer-ready documentation.
- Respond to audit and control requests by assembling tie-outs, schedules, explanations, and source evidence.
- Use company information only through approved systems and devices, follow least-privilege and security requirements, and promptly escalate suspected data, security, or access issues.
Cross-Functional Coordination
- Partner with Compute & Infrastructure Accounting, Technical Accounting, Procurement, Strategic Finance, Finance Systems, Data, Engineering, and external vendors to resolve accounting and operational blockers.
- Communicate requirements, status, outstanding items, and accounting implications clearly to finance and non-finance stakeholders.
- Escalate unusual contracts, accounting judgments, control exceptions, or access requests with clear context and recommended next steps.
Process Discipline and Continuous Improvement
- Identify recurring data-quality issues, process delays, and control gaps, and surface trends and recommended improvements to the appropriate team lead.
- Write clear requirements, test system or process changes, and validate downstream accounting outputs before operational use.
- Improve recurring workflows through standardization, documentation, automation, and tooling; maintain clear procedures and handoffs.
- Use approved AI-enabled tools responsibly to reduce manual effort, strengthen analysis and documentation, and support scalable and agentic workflows while following data-security and review requirements.
- Help maintain consistent execution as systems, accounting requirements, and workflows evolve.
REQUIRED SKILLS AND EXPERIENCE
- Progressive experience in accounting, audit, advisory, or a related finance function, including hands-on operational accounting.
- Strong month-end and quarter-end close experience involving accruals, journal entries, reconciliations, variance analysis, and workpaper preparation.
- Working knowledge of U.S. GAAP and internal controls, with the judgment to recognize and escalate matters requiring technical accounting review.
- Experience interpreting contracts, invoices, and large operational datasets and translating them into accurate accounting outcomes.
- Advanced spreadsheet and data-analysis skills and experience using an ERP or comparable finance system.
- Demonstrated ability to use AI tools to reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage.
- Strong attention to detail, sound judgment, clear documentation habits, and the ability to independently manage high-volume, deadline-driven work.
- Excellent written and verbal communication skills and the ability to coordinate effectively across Finance, Procurement, Engineering, external vendors, and time zones.
PREFERRED
- Operational accounting experience in a technology, cloud-computing, or infrastructure environment.
- Experience with Oracle Fusion and lease-accounting, fixed-asset, or similar finance systems.
- CPA, CA, or an equivalent professional accounting qualification.
NICE-TO-HAVE
- Exposure to cloud and compute costs, lease accounting, fixed assets, construction in progress, or related infrastructure arrangements.
- Familiarity with SQL, GitHub, issue-tracking tools, or similar technical tools used to investigate data and process issues.
- Experience in audit-ready, high-growth, or control-focused operating environments.
- Experience collaborating across time zones with distributed teams and external service providers.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We’re looking for a Product Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production.
A PEEK AT OUR TECHNICAL STACK
The rich UI of our generative AI tools is powered by TypeScript and React with MediaBunny driving in-browser media and React Flow powering our node-based creative workflows. Our API endpoints for user and media management are written in TypeScript and Node.js and deployed as containerized services on AWS ECS Fargate. We leverage AI APIs to power advanced generative capabilities.
WHAT YOU’LL DO
- Create rich multimedia interfaces using the cutting-edge of the latest AI video generation models Gen-4.5 and Aleph 2.0
- Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools
- Design and implement LLM-powered features and conversational interfaces
- Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser
- Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning-based generative AI tools
- Improve the performance, reliability, and code quality of our codebases
WHAT YOU’LL NEED
- 5+ years of industry experience in a software engineering role, ideally full-stack focused
- Demonstrated fluency in one or more programming languages, including but not limited to JavaScript/TypeScript
- Experience building with third-party AI APIs (e.g., chatbots, LLM integrations)
- Experience in architecting production-ready systems and familiarity with debugging and profiling tools
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines
- Humility and open-mindedness; at Runway, we love to learn from one another
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
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.
About the role Nebius is building cloud infrastructure and AI platforms used at scale. We are looking for a Senior Product Designer to join the Nebius Console team and lead the design of Compute experiences: complex, high-impact workflows used by technical teams to create, configure, monitor, and manage cloud resources. This role is for a designer who enjoys working with complex systems, understands the value of clear interaction models, and can turn technical depth into intuitive, reliable product experiences.
What you'll do
Own end-to-end design for Compute features in Nebius Console, from discovery and problem framing to delivery, launch, and iteration.
Design clear, scalable workflows for complex cloud infrastructure scenarios, including resource creation, configuration, management, monitoring, and troubleshooting.
Translate business goals, technical constraints, and user needs into coherent user journeys, information architecture, and interaction models.
Partner closely with Product Managers, Engineers, Designers, UX Researchers, and other stakeholders throughout the product lifecycle.
Explore and validate design hypotheses through user insights, prototypes, product data, and feedback from internal and external users.
Clearly present design solutions, trade-offs, and rationale to cross-functional teams.
Work closely with engineers during implementation to ensure high-quality execution and consistency.
Contribute to the development and maintenance of the design system, improving consistency, usability, and quality across Nebius Console.
Collaborate within a strong design team through reviews, critiques, shared patterns, and design system contributions.
Required qualifications
6+ years of experience as a Product Designer working on digital products.
Strong product thinking and the ability to approach design through connected user scenarios, product goals, and system constraints.
Experience designing complex B2B, SaaS, developer tools, infrastructure, or admin products.
Ability to balance usability, consistency, technical feasibility, and innovation in complex systems.
Strong systems thinking, attention to detail, and ability to work in a structured, systematic way.
Strong proficiency in Figma, including complex flows, components, variants, and interactive prototypes.
Ability to communicate design decisions clearly and constructively with both product and engineering teams.
Nice to have
Experience designing cloud consoles, infrastructure platforms, developer tools, or other technically complex products.
Familiarity with cloud concepts such as virtual machines, compute resources, networking, storage, quotas, permissions, or monitoring.
Experience with UX research, usability testing, customer interviews, or feedback analysis.
Ability to communicate effectively with engineers using basic HTML, CSS, and JavaScript terminology.
Experience working with design systems at scale.
What we offer
Competitive salary and a comprehensive benefits package.
A clear and meaningful area of ownership within one of the core parts of the cloud platform.
Opportunities for professional growth as the product, design team, and platform scale.
Flexible work arrangements, with hybrid and remote options depending on location
A collaborative, product-focused environment with close design–engineering partnership.
A strong design team with space for thoughtful critique, shared standards, and high-quality product work.
Perks and culture
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
If you enjoy designing complex products, working closely with engineers, and turning technical infrastructure into clear and reliable user experiences, we would be glad to hear from you!
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a member of the EMEA Talent Acquisition team focused on Corporate and Go-To-Market hiring, you will be instrumental in building and scaling Mistral's EMEA-based teams across both corporate functions and revenue-generating roles. Joining early means you'll help shape our recruitment strategy and operations, partnering closely with leaders across Corporate functions (Finance, Legal, People, Operations, Marketing, Communications) and GTM functions (Sales, Pre-Sales/Solutions, Partnerships, Customer Success, and Revenue Operations). Your work will directly influence Mistral's commercial and operational success by ensuring we find and engage exceptional operators who will drive Mistral's growth across the EMEA region. In this role, you'll also foster a strong candidate experience and help establish recruiting best practices as we expand across multiple EMEA markets.
WHAT YOU WILL DO
STAKEHOLDER PARTNERSHIP
- Partner deeply with Corporate and GTM leaders — from CRO and VP Sales to Finance, Legal, and People leadership — to understand hiring needs, define role specs, and identify the right talent across multiple EMEA markets.
- Own full-cycle recruitment across Corporate and GTM functions: Sales, Finance, Legal, People/HR, Marketing, and Communications roles.
- Advise hiring managers on market mapping, leveling, comp positioning, and the competitive landscape for EMEA talent, accounting for local market nuances, benchmarking, and statutory differences across countries.
- Translate the nuances of each role into compelling, accurate, and locally relevant candidate outreach.
END-TO-END RECRUITMENT
- Own the full recruiting lifecycle from sourcing to close, operating with autonomy on complex, high-volume roles across Corporate and GTM.
- Source passive and active candidates across EMEA talent pools, particularly in AI/ML, open-source software, enterprise infrastructure, and regional corporate markets.
- Conduct intake and calibration sessions with hiring managers to align on ideal candidate profiles and stage expectations.
- Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for senior talent across multiple geographies and languages.
- Navigate cross-border hiring complexity, including relocation, remote-friendly offers, and country-specific employment frameworks.
CANDIDATE EXPERIENCE & SELLING MISTRAL
- Guide candidates through the hiring process with clear communication and a compelling narrative about Mistral's mission, culture, and trajectory.
- Articulate Mistral's positioning in the AI landscape — frontier models, open-weight philosophy, and enterprise credibility — to differentiate us against better-known competitors.
- Provide candidates with real insight into our GTM motion, corporate operations, growth plans, and the specific impact of their role.
- Deliver a high-quality, respectful candidate experience at every stage, regardless of outcome.
RECRUITING OPERATIONS & DATA-DRIVEN IMPROVEMENT
- Develop and refine recruiting processes, tools, and documentation to improve outcomes and efficiency.
- Use data to diagnose pipeline issues (e.g., drop-off at specific stages, time-to-fill by role, offer acceptance rates) and propose targeted solutions.
- Build and maintain market maps, competitive intel, and talent pools for key EMEA Corporate and GTM segments.
- Standardize interview rubrics, scorecards, and debrief practices across EMEA hiring teams, while respecting local market and language differences.
RAISING THE BAR
- Collaborate with Corporate and GTM leadership and the broader Talent team to continuously elevate our hiring standards.
- Contribute to defining and evolving our EMEA talent acquisition strategy as we scale from early team to a mature, multi-region organization.
- Partner on employer-brand and outbound sourcing initiatives that position Mistral as a destination for top Corporate and GTM talent in EMEA.
WHAT WE'RE LOOKING FOR
- 6+ years of recruiting experience, including 2+ years in a startup or high-growth B2B SaaS/infrastructure company, with a focus on Corporate functions and/or Sales/GTM roles.
- Demonstrated ability to independently hire across the full GTM stack — from Enterprise AE’s to GTM leadership — as well as key Corporate functions (Finance, Legal, People, Marketing, Operations).
- Deep network and sourcing expertise in EMEA talent markets, particularly in AI/ML, open-source, developer tools, or enterprise software.
- Track record of hiring in competitive, candidate-scarce markets where candidates have multiple offers, including cross-border and multi-language hiring.
- Experience working across multiple EMEA markets and comfort with country-specific comp, benefits, and employment nuance.
- Willingness to work on other roles as needs come up.
- Comfort navigating ambiguity and switching between strategic planning and hands-on execution.
- Strong written and verbal communication skills, with the ability to influence peers and senior stakeholders without direct authority.
- Organized, detail-oriented, and able to juggle shifting priorities across a high-volume hiring slate spanning two function families.
- Professional experience with modern recruiting tools such as Ashby.
- Familiarity with the AI/ML landscape and the ability to credibly discuss frontier model capabilities with technical GTM and corporate candidates.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.
What you’ll do
- Work with select SMB customers to build and test frontier agent capabilities that run their revenue-generating workflows.
- Prioritize the highest-value workflows to automate and build the skills, evals, and agent systems that make them reliable and performant.
- Turn customer learnings into product requirements for connectors, skills, and agent capabilities, and partner with cross-functional product teams to build.
- Drive SMB acquisition through personalized demos, case studies, and paid and lifecycle channels, measured on acquisition targets and CAC.
- Drive usage expansion across our existing SMB base through personalized onboarding, lifecycle, and product growth levers.
- Work with partnerships and growth marketing teams to design, execute, and package customer case studies to distribute across paid, organic, and partner channels.
Qualifications
- 2–4 years of total work experience with a strong academic record.
- 2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by some operating experience.
- You've run, or worked closely alongside, real marketing workflows: paid social, lifecycle, CRO, or SEO. You know what "great" looks like to an operator.
- You already use agents to automate complex processes and are comfortable writing prompts, skills, and building end-to-end agent systems.
- Strong written and verbal communication; comfortable running a working relationship with customers.
- Comfortable with SQL. You can pull your own cohorts, validate your own segments, and build your own dashboard & reporting systems.
- Operates at high velocity. You ship daily and thrive in fast-paced, early-stage environments where processes are still being defined.
Nice to have
- Direct experience with Shopify, Klaviyo, Meta Ads Manager, TikTok Ads, or similar operator tools.
- Experience in a forward-deployed, solutions, or customer-facing product role.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping.
THE ROLE
The Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices.
You will identify the highest-leverage mobile user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in mobile platform constraints and opportunities, and an exceptional eye for detail.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in how people use AI on mobile.
- Envision new mobile experiences and deliver a long-term vision across iOS and Android.
- Understand the levers for mobile product-led growth, engagement, and retention.
- Work closely with engineering and design to align product expectations with native platform capabilities and constraints.
- Work with research to evaluate and steer nondeterministic models into high-value outcomes for mobile users.
- Have conviction to make difficult product decisions in the face of uncertainty.
- Develop a deep understanding of mobile user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.
- Make complex AI behavior understandable and controllable on small screens through clear interaction models, thoughtful defaults, and well-designed feedback.
- Drive alignment when improvements span iOS, Android, web, backend systems, or multiple teams.
- Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience shipping and scaling high-quality consumer mobile products across iOS or Android.
- Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability.
- Experience with rapid mobile prototyping, experimentation, and data visualization.
- Experience building data-driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing.
THE ROLE
The AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work.
You will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in reusable, composable AI capabilities.
- Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects.
- Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth.
- Work closely with engineering and design to align product expectations with model, tool, and platform capabilities.
- Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users.
- Have conviction to make difficult product decisions in the face of uncertainty.
- Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI.
- Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback.
- Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams.
- Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience building AI-native productivity, collaboration, platform, or developer-facing products.
- Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration.
- Experience with rapid prototyping and designing systems that produce high-quality artifacts.
- Experience building data-driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.
What you’ll do
- Drive activation, repeat usage, and paid conversion across web, mobile, and desktop.
- Build and iterate the levers that move them: upsells, onboarding, upgrade flows, lifecycle, and design new agent-driven growth loops.
- Grow adoption of new products and cross-platform conversion: identify the optimal set of users, surfaces, and moments to introduce them, and drive repeat usage.
- Ship a high volume of experiments, from hypothesis and metric design through analysis, and turn the learnings into roadmap bets that grow our metrics.
- Analyze funnels, cohorts, and segments to find the highest-leverage opportunities and define the metrics behind them.
- Protect product quality while improving conversion, holding guardrails on retention, support volume, and margin.
- Write crisp specs and experiment briefs and drive execution across engineering, design, data, and marketing.
Qualifications
- 2–4 years of total work experience with a strong academic record.
- ~2 years in investment banking or consulting, followed by startup experience in a growth, product or founder role.
- Fluent in SQL, comfortable with experiment design and statistical readouts.
- Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week.
- Thrives in ambiguity where processes are still being defined.
Nice to have
- Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping across web and native mobile surfaces.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
THE ROLE
The Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms.
You will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in enterprise industries.
- Envision new experiences and deliver a long-term vision.
- Understanding of levers for product-led growth and retention.
- Work closely with engineering and design to align product expectations and capabilities.
- Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
- Have conviction to make difficult product decisions in the face of uncertainty.
- Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.
- Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback.
- Drive alignment when improvements span multiple product surfaces, platforms, or teams.
- Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience with productivity and knowledge work products.
- Experience with prototyping and data visualization.
- Experience with building data driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: United States
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!
ABOUT THE ROLE
Cohere is seeking a Global Public Policy Manager to lead policy engagement on compute infrastructure, export controls, AI competitiveness, and sovereign AI strategies. Governments increasingly view AI as critical national infrastructure and are investing heavily in compute capacity, energy resources, and domestic AI ecosystems.
This role will help position Cohere as a trusted partner in emerging discussions around AI infrastructure, national competitiveness, and sovereign AI deployment.
KEY RESPONSIBILITIES
- Monitor and analyze developments related to AI infrastructure, data centers, energy policy, semiconductor policy, export controls, and national AI strategies.
- Develop policy positions on sovereign AI, compute access, digital sovereignty, and AI competitiveness.
- Support engagement with governments developing AI infrastructure investment programs and national AI initiatives.
- Collaborate with commercial, product, and corporate development teams on strategic opportunities involving public-private partnerships.
- Represent Cohere in policy discussions related to AI infrastructure, energy requirements, and technology competitiveness.
- Produce policy analysis and thought leadership on AI infrastructure and sovereign AI trends.
QUALIFICATIONS
- 5–7 years of experience in public policy, technology policy, trade policy, energy policy, national security policy, or related fields.
- Strong understanding of geopolitical technology issues, AI infrastructure, export controls, or digital sovereignty.
- Ability to assess emerging policy developments and identify strategic business implications.
- Excellent analytical and stakeholder engagement skills.
PREFERRED QUALIFICATIONS
- Experience working on semiconductors, cloud infrastructure, energy policy, telecommunications, or national competitiveness issues.
- Familiarity with government AI investment programs and international technology policy.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco; New York City
Perplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward.
Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself. The ideal candidate has strong technical judgment, thrives coordinating across teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet.
OUR MISSION
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
WHAT YOU'LL DO
- Execute the roadmap for the inference platform request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on
- Be the connective tissue between model providers and Perplexity's engineering and product teams coordinating onboarding, launch readiness, and rollout for new models and capacity
- Drive latency, throughput, uptime, and cost-efficiency as core execution metrics, surfacing tradeoffs between them rather than letting them become side effects
- Run the operating model for model-release and optimization programs, including day-zero launches, across performance engineering, infrastructure, and product teams
- Lead cross-functional delivery for inference-stack changes, from planning through launch and post-launch validation
- Build the mechanisms that make releases predictable rituals, dashboards, launch checklists so inference releases stay low-risk at Perplexity's scale
- Partner with GPU capacity and compute teams to reconcile execution decisions against cost, capacity, and vendor constraints
QUALIFICATIONS
- Strong experience with technical program management or product management in infrastructure, distributed systems, or ML/model-serving products
- Direct experience with production LLM or ML inference understanding what makes serving fast, reliable, and cheap rather than just what a roadmap slide says about it
- Comfort orchestrating across external partners and internal engineering teams with competing priorities and timelines
- Experience with data and metrics, and the judgment to surface difficult tradeoffs between latency, throughput, uptime, and cost
- Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on
- 6+ years of combined technical program management or product management experience
Location: Remote Germany
Workplace: Remote
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As a Technical Account Manager, you’re the trusted technical engine behind our enterprise customers' greatest learning transformations! You will embed yourself as an essential strategic partner, bridging high-level customer business goals with Docebo’s cutting-edge platform capabilities. In this role, you won't just solve problems—you'll architect long-term technical strategies, pilot innovative solutions, and ensure our customers unlock maximum value to become partners for life.
This is a fully remote position, open to candidates located in Germany.
⚡ THE DAY-TO-DAY
- Architect the Future: Translate customer business and eLearning goals into long-term, scalable technical strategies using Docebo’s robust feature set.
- Own the Technical Relationship: Take full technical and product ownership of your assigned enterprise accounts while collaborating closely with Account Teams on commercial growth.
- Serve as the Trusted Advisor: Guide executive and technical stakeholders through platform innovations, API integrations, and AI-assisted workflows to maximize operational efficiency.
- Proactively Protect Platform Health: Monitor technical performance metrics—like API usage and login trends—to catch and mitigate potential risks long before they hit platform stability.
- Lead Executive Technical Reviews: Deliver high-impact performance presentations on SLAs directly to customer leadership and champion customer feedback internally to Docebo teams.
- Drive Systemic Platform Improvements: Partner with Premium Advisors and internal resources to analyze support case patterns, run proof-of-concept pilot projects, and streamline overall platform health.
💪 YOUR SUPERPOWERS
- Enterprise SaaS Expertise: Bring 5+ years of SaaS technical troubleshooting and 2+ years of enterprise/large account management experience.
- Integration & Auth Mastery: Hold a solid foundation in back-end practices, RESTful APIs, OAuth 2.0, SAML, and front-end essentials like JavaScript, CSS, and HTML.
- Data & Middleware Savvy: Possess hands-on skills in at least two key areas: iPaaS tools (e.g., Workato, Zapier), SQL queries, or data warehousing/BI tools (e.g., Snowflake, Tableau, Power BI).
- Executive Translator: Master the art of taking complex, highly technical concepts and translating them into simple, high-value business conversations for executive decision-makers.
- Global Flexibility & Travel: Ready to support EMEA regional time zones and comfortable traveling internationally up to 25% of the time.
- Project Management Mindset: Bring proactive ownership, analytical decision-making, and experience forecasting product release impacts or advising on AI/automation integrations.
- German language proficiency is required; however, English is the primary language used for day-to-day communication and collaboration.
🌟 BONUS POINTS
- Cloud Certified: Possess an active AWS Product Certification.
- Domain Experience: Background in the e-Learning, Learning Management (LMS), or Human Capital Management (HCM) industries.
- Scalability Specialist: Direct experience consulting on platform performance, high availability, uptime, and enterprise scalability.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems.
As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard.
Key responsibilities
Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet
Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes
Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling
Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets
Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization
Minimum qualifications
Have hands-on experience building and operating large-scale observability or monitoring infrastructure
Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis
Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale
Are comfortable digging below the application layer into the kernel, the network stack, or the hardware
Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team
Preferred qualifications
10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure
Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility
Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization
Kernel- and syscall-level debugging experience and performance engineering craft
Experience profiling or instrumenting accelerator workloads
Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends
Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
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:
£325,000
—
£390,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
Sydney, Australia
УдалённоseniorСША; Must be based in Washington, D.C., Maryland, or Virginia with willingness to travel (25-35%); We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
УдалённоPhilippines; Excellent written and verbal communication skills and the ability to coordinate effectively across Finance, Procurement, Engineering, external vendors, and time zones; Experience collaborating across time zones with distributed teams and external service providers
УдалённоseniorСША; Lastly, the provided range is the expected salary for candidates in the U.S
УдалённоseniorГеография найма не уточнена
ГибридParis; London; Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for senior talent across multiple geographies and languages; Navigate cross-border hiring complexity, including relocation, remote-friendly offers, and country-specific employment frameworks; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
New York City
San Francisco; New York City
San Francisco; New York City
New York City
San Francisco; New York City
УдалённоUnited States
San Francisco; New York City
УдалённоRemote Germany; Global Flexibility & Travel: Ready to support EMEA regional time zones and comfortable traveling internationally up to 25% of the time
