Задачи:
- Внедрение обученных моделей в закрытый контур экосистемы компании (на частных серверах) с обеспечением автономной работы и защиты от внешних воздействий
- Адаптация и оптимизация AI-алгоритмов для эксплуатации на защищённых мобильных устройствах с учётом ограниченных вычислительных ресурсов и минимизации энергопотребления
Требования:
- Знание архитектур нейросетей (Transformer, CNN, RNN, GAN, Diffusion)
- Владение методами обучения моделей с нуля и дообучения (fine-tune) существующих решений
- Опыт работы с фреймворками PyTorch, TensorFlow, JAX
- Навыки написания кода для инференса и развёртывания моделей в продакшн-среде
- Понимание принципов оптимизации: градиентный спуск, функции потерь, регуляризация
- Уверенное владение языками программирования Python и C++
- Способность реализовать с нуля отдельные компоненты модели, например, механизм внимания или отдельный слой
- Глубокое понимание внутренней логики работы моделей
Location: Paris
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 an Engineering Team Lead, you will build and develop the core platform that supports our AI products. This role combines technical execution with leadership, ensuring our systems work effectively for developers and users.
Your work will directly improve the developer experience, making it more efficient and intuitive. The team builds reliable infrastructure that supports our products and enables seamless integration for both internal and external users.
You will split your time between hands-on coding and strategic leadership, including project planning, stakeholder collaboration, and team growth. This balance allows you to drive technical solutions while guiding the team toward long-term success.
What You Will Do
- Remove obstacles and create an environment where your team can focus on building solutions.
- Translate product vision into technical reality, collaborating closely with the Product team.
- Ensure applications are performant, stable, and responsive.
- Uphold high code quality standards through reviews, testing, and automation.
- Own the full software development process, from design to deployment.
- Plan projects, including roadmaps, deadlines, and task allocation.
- Collaborate with stakeholders across Engineering, Product, and Design.
- Support team growth through hiring, onboarding, and mentorship.
What We're Looking For
- Proficiency in Python and at least one web framework (FastAPI, Django, Flask).
- Proficiency in C#, Golang, TypeScript and at least one web framework.
- Experience with large-scale distributed systems.
- Experience building and leading engineering teams.
- Experience working with cross-functional teams, such as Product, Design, and Business.
- Knowledge of databases, caching mechanisms, and messaging systems.
- Strong problem-solving abilities and attention to detail.
- Ownership mindset and ability to ship products end-to-end.
- Excellent communication skills and a low-ego, team-first attitude.
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.
leadParis; 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
Location: Beograd, Serbia
Workplace: hybrid
ABOUT THE ROLE
We are looking for forward-thinking, high-performing AI Engineers who are excited to pioneer the future of AI-driven engineering at Paysend. In this role, you will work hands-on with Claude Code and the Anthropic API to design, harden, and ship agentic systems that write, review, test, and deploy code. This is a high-impact, build-and-own opportunity: you will take cutting-edge AI prototypes and turn them into resilient production infrastructure - directly empowering our global engineering teams, accelerating our product velocity, and helping us solidify Paysend as the definitive end-to-end payment infrastructure for the modern world.
THE ENGINEERING PROBLEM
The problem is not to make an LLM generate code. The problem is to make AI-assisted and agentic software delivery reliable enough to become part of normal engineering work.
These systems operate inside real software delivery workflows. They need to deal with incomplete context, failed execution, incorrect assumptions, external dependencies, changing repository state, and cases where an agent should not continue on its own. This means designing clear execution boundaries, decision points, observability, recovery and escalation paths, not only the agent behaviour itself.
The role includes shaping how these systems work, not only implementing integrations with existing AI tools.
WHAT YOU'LL DO
Design end-to-end AI-assisted delivery workflows, including agent responsibilities, execution boundaries, decision points, human intervention, failure handling, recovery, and escalation
Design and refine AI-driven pipelines that automate coding, code review, testing, and deployment tasks
Build and optimise agentic workflows using Claude Code and the Anthropic API, including custom tooling, MCP server integrations, sub-agents, and stateful orchestration logic
Engineer robust prompts, benchmark suites, and automated eval datasets; measure and improve pipeline accuracy, latency, and API costs
Define workflow-specific success criteria and operational evidence, including correctness, reliability, intervention and escalation rates, failure modes, and recovery effectiveness
Integrate core Anthropic capabilities (tool use, structured outputs, prompt caching, batch processing) into internal developer platforms
Handle unglamorous production work: sandboxed execution, strict error handling, retries, observability, guardrails, and edge cases
Own these systems after initial implementation: observe how they behave in real engineering workflows, investigate failures and incorrect behaviour, and improve the system based on operational evidence
Partner with engineers across the org to identify automation opportunities and roll out agentic tools safely with human-in-the-loop review mechanisms
WHAT WE'RE LOOKING FOR
Strong software engineering background, with experience designing, building, and operating production systems, and strong hands-on experience with Python or TypeScript
Ability to decompose end-to-end engineering workflows, identify decision boundaries, failure modes, dependencies, observability needs, and recovery paths
Direct, hands-on experience with Claude Code—you've used it beyond casual experimentation and understand its strengths, limits, and configuration (CLAUDE.md, sub-agents, hooks)
Experience building with LLM APIs: prompt engineering, tool/function calling, structured outputs, context window optimization, agentic loops, and evaluation
Familiarity with MCP (Model Context Protocol) server integration and custom workflows
Comfort turning prototypes into production systems: CI/CD integration, containerized execution, reliability engineering, and monitoring
Pragmatic judgment about where AI automation helps and where traditional deterministic logic or human oversight is required
NICE TO HAVE
Experience with agent orchestration frameworks or building custom agent harnesses/tooling
Track record shipping internal developer platforms or CLI tooling
Contributions to open-source AI frameworks, developer tools, or MCP servers
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
Location: Australia
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
As a Sales Development Representative (SDR) based in Australia, at ElevenLabs you will play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives.
We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology.
In this role you will:
- Conduct research to identify potential leads and prospects within the target market.
- Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers
- Implement personalized and effective outreach campaigns to maximize lead conversion.
- Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends.
- Continuously refine and adjust outreach strategies based on the feedback loop.
- Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness.
- Collaborate with the sales leadership to analyze data and optimize strategies for better results.
REQUIREMENTS
- 2-3 years outbound B2B sales experience with a track record of securing new business meetings.
- Demonstrated ability to build Opportunity sized lead lists in new markets and categories
- Experience with full suite of prospecting tools
- Demonstrated ability to build, scale process
- Demonstrated ability to nurture a team
- Curiosity - asking insightful questions and developing solutions from a foundation of knowledge and insight.
- Self-motivated, thriving as part of a team while possessing the ability to stay driven and proactive independently.
- Effective time management skills, with the ability to prioritize tasks and manage a high volume of leads.
- Excellent verbal and written communication skills in English.
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Mexico
Workplace: remote
About Welo Global
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com
About the Role
We're hiring a technically strong Senior Data Analyst to help modernize how our FP&A organization uses data, analytics, and automation. This is an embedded Finance role: you'll report directly to the FP&A Director and work side by side with her day to day while partnering closely with our central Data Analytics and Data Engineering teams on infrastructure, standards, and complex technical problems. It's a hands-on execution role for someone who builds.
Financial and operational data at Welocalize lives across multiple systems - Workday Financials, Adaptive Planning, Salesforce, a Redshift data warehouse, Power BI, and years of Excel workbooks carrying critical processes. Much of it doesn't connect cleanly, and a lot of institutional knowledge lives in undocumented spreadsheets, manual processes, and Power Queries rather than any system of record.
You might start with a complex, years-old Excel workbook and a simple prompt: “This is how we do this today.” Your job isn't to automate the workbook as-is - it's to understand its purpose, trace its logic to source, figure out what users actually need, and design something better: a rebuilt pipeline, a SQL/Python replacement, a driver-based view, an exception-monitoring workflow, or an AI-assisted tool.
We're just starting to build out an FP&A AI repository - documentation, business logic, and workflows meant to let AI reliably execute FP&A processes, not just answer one-off questions - and you'll partner with us to determine its direction.
This role is a deliberate combination of three things:
1. Fluency with data itself - the ability to query, shape, and manipulate data directly.
2. An engineering mindset - building automated, repeatable systems (workflows and dashboards that run and refresh on their own, integrations across tools) rather than one-off analysis, and knowing how to scope and coordinate real pipeline or data mart work with Data Engineering.
3. An investigative instinct - the ability to look at data and figure out what it's telling us, not just execute a report exactly as specified.
What You'll Do
Partner directly with FP&A leadership to understand existing reporting, analytical, and planning processes and identify where they should fundamentally change, not just get faster.
• Reverse-engineer complex Excel workbooks and manual processes to understand their data sources, business logic, calculations, and the questions their users are actually trying to answer.
• Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools.
• Work through large, imperfect, multi-system datasets - resolving data quality, mapping, reconciliation, and grain issues along the way.
• Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers, rather than simply reporting what happened.
• Design dashboards and reporting experiences around the decisions people actually need to make, not a recreation of an existing spreadsheet in a new tool.
• Build AI-assisted, interactive HTML reporting tools - developed with the help of AI coding tools and engineered to refresh efficiently on their own, without repeated AI calls.
• Develop driver-based analysis, exception reporting, and monitoring approaches that surface important changes proactively.
• Explore and build AI-assisted and agentic workflows - including ways for LLMs to interact with data, tools, APIs, and reporting processes.
• Partner with the central Data Analytics and Data Engineering teams on shared data infrastructure and standards - including scoping and coordinating data pipeline and data mart requests.
• Contribute in a leadership capacity within the analytics function even without formal management responsibility - shaping how problems get approached, mentoring by example, and helping set the bar for analytical rigor.
• Translate complex analytical findings into clear, actionable insight for Finance leaders and other business stakeholders.
• Partner in building out our FP&A AI repository - the documentation, conventions, and workflows meant to let an AI assistant execute FP&A processes reliably - and help shape its direction as we go.
How You Think
Technical skills matter, but how you approach problems matters just as much. We're looking for someone who:
• Is genuinely curious and naturally asks “why?” when something doesn't reconcile or doesn't make sense.
• Enjoys digging into messy or unfamiliar data and figuring out how things connect.
• Doesn't assume an existing process or report is right simply because that's how it's always been done.
• Can take an ambiguous problem and independently structure an approach to solving it, while knowing when to pull others in rather than spinning wheels alone.
• Looks beyond the initial request to identify opportunities, risks, and better approaches the requester may not have thought to ask for.
• Enjoys collaborative problem-solving - bouncing ideas around, testing hypotheses, and challenging assumptions to get to a stronger answer.
• Takes ownership of the areas they work in - the business purpose, the data, the known issues, and the opportunities for improvement - rather than treating each request as a one-off ticket.
• Likes building things, experimenting, and continuously improving how work gets done.
Required Skills and Experience
5-10 years of relevant experience required. You should be genuinely, hands-on strong across:
• SQL - comfortable joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas.
• Python - practical proficiency for data transformation, analysis, and automation.
• ETL/ELT fluency - strong enough understanding of pipeline design to define data requirements, validate output, and partner effectively with Data Engineering on pipeline and data mart requests. Hands-on pipeline-building experience is a plus.
• Report and dashboard building - able to design and build a reporting/analytical experience end-to-end, whether on a modern BI platform (Power BI, Tableau, Looker, or similar) or as a standalone interactive HTML/web-based report. Standalone HTML/web-based reports are increasingly our primary format.
• Automation - demonstrated experience automating manual, recurring data or reporting workflows.
• Comfort learning and adopting new AI-assisted tools and workflows - you should be genuinely curious about this space and ready to build fluency quickly on the job.
• Advanced Excel, including the ability to deconstruct sophisticated, undocumented legacy workbooks.
• Demonstrated ability to explore data and figure out why something happened - forming and testing your own hypotheses, not just reporting what happened.
• Fluent English, spoken and written. This is a fully remote role and you'll communicate directly, in English, with business stakeholders and executive leadership as well as data analysts and engineers across our global organization, where English is the shared working language.
Preferred Experience
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable. Master's degree is a plus.
• Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function.
• Familiarity with financial concepts such as revenue, margin, profitability, forecasting, and variance analysis.
• Experience modernizing legacy Excel-based reporting or analytical processes.
• Experience working in an environment where data is distributed across multiple systems and isn't always perfectly documented.
• Experience working effectively in a fully remote, distributed team environment.
• Exposure to AI/agentic tooling, or experience helping design how AI gets applied to a business process (e.g., LLM workflows, tool/function calling, RAG, MCP, building AI-assisted reporting or automation).
• Machine learning, statistical modeling, or formal data science experience is welcome but not required.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
Device Infrastructure Services owns the full lifecycle of hardware and operating systems across 1Password. The team is looking for the Staff Engineer who will lead its next chapter: a deliberate shift from legacy device management patterns towards devops and AI-enabled operations.
You'll be the technical leader of this team, responsible for setting the roadmap for this transformation and making sure it gets executed. This isn't a role where you hand off a roadmap and step back: you'll be in the build alongside the team, coaching engineers and raising the ceiling on what they're capable of. If you're excited by building scalable systems, shaping the strategy behind tools the whole company depends on, and bringing out the best work in the people around you, we want to hear from you.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 7+ years of IT and enterprise endpoint management experience, including 2+ years at a senior or staff IC level, with a track record of building and managing endpoints with Gitops practices.
- Demonstrate broad knowledge of enterprise endpoint management, deep operating system-level experience, and the ability to recognize patterns across a fleet and build fixes that prevent recurrence.
- Practical experience using AI tools to enable or accelerate IT operations and the judgment to know where AI speeds things up versus where it introduces risk.
- Proven ability to define and drive technical roadmaps, seeing around corners and balancing long-term vision with near-term execution.
- Strong scripting and IaC ability (Bash, Python, and Terraform at minimum) — both writing production-quality automation yourself and reviewing others' code with a critical eye.
- Deep working knowledge of enterprise security fundamentals as they apply to endpoints: encryption, patch/vulnerability management, EDR, least-privilege enforcement, and compliance frameworks (SOC 2, ISO 27001, or similar).
- Lead through change, collaborate effectively, and mentor engineers while maintaining a focused and impactful team environment.
What you can expect:
- Own the technical direction of our Device Infrastructure Services, the tooling and standards that keep ~2,000 endpoints compliant, configured, and secure.
- Drive the technical direction of a DevOps operating model for the fleet — config-as-code, version control, code review, and CI/CD pipelines in place of manual console changes — and drive adoption of that model across the IT team.
- Lead the adoption of responsible agentic AI across the device team, building the guardrails that decide what agents can act on autonomously and what still needs a human checkpoint.
- Act as the final escalation point for high-severity endpoint incidents, including deep machine-level diagnosis on both macOS and Windows hardware.
- Partner across IT, Security, and product teams building custom solutions and helping push their initiatives across the finish line.
- Assess and pilot new tooling (e.g., MDM platform migrations, patch management systems) and drive build-vs-buy decisions.
- Collaborate with product teams to advise on features from the perspective of a real-world enterprise device deployment, and lead Customer Zero initiatives — piloting and stress-testing our own product against our internal fleet before it reaches customers.
What success looks like:
- Establishing a clear 12-month roadmap for the transition to a GitOps-based operating model.
- Building device health metrics and remediation standards for machine security, performance, and employee experience.
- Developing our AI-assisted operations strategy, with automation milestones that balance speed, human review, security and agentic workflows.
- Supporting the unpredictable release cadence of major OS vendors, and making sure those updates land safely across the org.
- Bringing the team along with you — at 1Password, we Put People First. This role isn't just about leveling up what we can do technically, it's also about coaching the team along the way.
USA-based roles only: The annual base salary for this role is between $143,000 USD and $207,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $122,000 CAD and $177,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: United States; San Francisco; Seattle; New York; Toronto
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
Adoption of AI is moving rapidly from pilots to production. Enterprises are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we’re committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for the Enterprise Market, you’ll be at the heart of our mission to empower businesses across the region with cutting-edge AI technologies.
This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You’ll work closely with leading enterprises, system integrators, and technology partners to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses.
Your work will directly contribute to our success. You’ll have the opportunity to shape partnerships that drive digital transformation, foster innovation, and position Cohere as a leader in the AI ecosystem.
If you’re a strategic thinker, a relationship builder, and eager to make a meaningful impact in one of the world’s most dynamic markets, this role is your chance to shape the future of AI.
As our Partner Development Manager you will own the success of our partner relationships. Key responsibilities include:
Partner Strategy & Execution
- Owns AWS-sourced and AWS-influenced Cohere pipeline — activating AWS field sales and technical teams to select and deploy Cohere
- Define and execute Cohere’s partner-go-to-market plan for the Enterprise Market, aligning with regional business objectives.
- Partner with the broader GTM team to identify and recruit high-impact partners across system integrators, distributors, resellers, ISVs, and cloud providers.
- Develop relationships with key stakeholders across the partner ecosystem to ensure success of the partnership.
Partner Onboarding & Enablement
- Lead partner onboarding, certification, and training programs to ensure partners are equipped to sell, deploy and manage Cohere’s solutions effectively.
- Collaborate with enablement to scale partner enablement through sales and technical workshops, empowering them to deliver value to enterprise customers.
Pipeline Generation & Co-Selling
- Own joint pipeline generation by creating co-sell motions, solution plays, and strategic joint go-to market motions that align Cohere’s capabilities with enterprise mission needs and procurement cycles.
- Collaborate with partners to identify and pursue high-value opportunities
Business Planning & Performance Tracking
- Ensure partners are aligned with Cohere’s strategic goals and performance metrics.
- Run joint business planning sessions and quarterly business reviews (QBRs) with partners, tracking sourced and influenced ARR against targets.
Partner Advocacy & Feedback
- Serve as the voice of the partner within Cohere, relaying feedback to Product, Engineering, and Legal teams
- Work with Cohere's Public Policy teams to navigate government AI policies to advise partners on risk management and responsible AI best practices.
Thought Leadership & Evangelism
- Evangelize Cohere’s vision and solutions at partner and industry events, positioning Cohere as a leader in responsible GenAI for the market.
- Build thought leadership through briefings, speaking engagements, and collaborative initiatives.
Why You’ll Love This Role
This is a high-impact role where you’ll shape the future of AI partnerships. You’ll work at the intersection of technology, business, and policy, driving growth while ensuring responsible AI adoption. If you’re passionate about building strategic alliances, driving innovation, and making a difference in one of the world’s most dynamic markets, this is the role for you.
What We’re Looking For
- 8+ experience in partner development, channel sales, or alliance management within the tech industry, preferably in AI or cloud solutions, with a track record of enterprise ARR contribution.
- Deep understanding of the enterprise market and key industry verticals.
- Strong relationship-building and negotiation skills, with a track record of driving partner success.
- Ability to navigate complex regulatory and compliance landscapes, including AI ethics and government policies.
- Working understanding of AI (LLMs, retrieval-augmented generation, agentic workflows)
- Experience working with major system integrators, global consultancies, and hyperscalers including joint GTM and co-sell motions.
- Excellent communication and presentation skills, with the ability to evangelize Cohere’s vision to partners and industry stakeholders.
- Results-driven growth mindset and bias for action. You thrive in a start-up-speed environment and enjoy building and scaling partner programs.
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
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy.
RESPONSIBILITIES
- Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience.
- Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs.
- Ingest and transform raw data using tools like dbt, Airbyte, and Databricks.
- Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions
- Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities.
- Present findings and recommendations to technical and nontechnical audiences, including company leaders.
REQUIREMENTS
- 5+ years of experience in analytics, BI, or data engineering roles
- Strong SQL skills with the ability to write complex queries for data transformation and analysis
- Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage.
- Excellent communication skills and a collaborative approach to working with cross-functional teams
- Demonstrated ability to explain complex work and make clear recommendations to technical and business audiences.
NICE TO HAVE
- Experience with AI infrastructure, developer platforms, or inference.
- Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning.
- Working knowledge of model-serving and training workflows and the infrastructure metrics that shape performance and cost.
- Practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner’s products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.
What you will do:
Run the Machine:
Own the end-to-end reliability, performance, and resilience of Garner’s cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services
Lead Incident Response:
Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes
Own Observability:
Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them
Scale & Optimize:
Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI
Automate Away Toil:
Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products
Enable Engineering:
Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders
Uphold Security & Compliance:
Ensure our infrastructure and operations meet Garner’s security and HIPAA compliance obligations
The ideal candidate has:
4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role
Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred)
A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews
Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus)
Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking
Experience supporting AI/ML or data-intensive workloads in production is a plus
Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus
Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
We are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target range for this position is $191,000 - $226,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Canada, Remote
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation Studios is the game development division of Sony PlayStation, and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo.
We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games.
As a Lead Analytics Developer,
you’ll work in our cross-disciplinary engineering team to scale our platform, expand its reach, and help define and build the future of analytics for PlayStation games. You should have a passion for video games and a background in data or analytics engineering. You’re looking for a fun, dynamic environment to take on new challenges.
In your first six months
, you will work on new title launches, and build data models to ensure efficient and consistent queries. To build these data models, you’ll work directly with game studios and data analysts to design and validate suitable in-game telemetry. You’ll also help expand our use of technologies, such as dbt and airflow, in ways that are suitable to our use cases. You will be given ownership of data models for specific games and work closely with Game Analytics team members and game studio colleagues to ensure we’re building with consistency and performance in mind.
We’d love to hear from you if:
You are adept at writing SQL on analytics (OLAP) databases (preferably Redshift, or similar databases)
You have experience implementing and using data modelling tools such as dbt or SQLMesh
You have experience in transforming business needs into data model requirements & solutions
You’re excited by Big Data projects and technology, and want to gain more experience in this area
You’re committed to quality as a top priority, and have an interest in repeatable, testable, destructible, test-driven database development
Bonus points for:
a degree in Computer Science
experience with Python, AWS Glue, source control (Git, Liquibase), Airflow
familiarity with AAA game development and modern console games
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below.
$141,900
—
$212,900 CAD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
As an Intermediate Backend Engineer, you will take backend features and improvements from clarifying the problem through shipping them and following up in production. You will work within a product area, partnering with Product Management, Frontend, Infrastructure, and Security to deliver predictably and contribute to the quality, security, performance, and maintainability of shared backend code and services. You will be trusted to work with minimal guidance, to know when to seek help, and to communicate clearly in a remote, asynchronous environment — with other tenured engineers alongside you to review your work, think through hard problems with you, and help you grow.
Why you’ll love this role
Ownership:
You'll take features from requirements through delivery and follow-up; your code will run on a platform used by millions of users.
Learning and Growth :
You’ll work alongside your engineering team, who treat code review and design review as a learning loop rather than a gate — one of the fastest ways to grow your engineering judgment.
Innovative Culture:
You’ll use AI as a genuine part of daily engineering work, developing the judgment to know when to trust it and when not to.
Autonomy:
You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
User-Centric Collaboration:
You’ll partner closely with PMs and designers to shape requirements, so you understand why you’re building something, not just what.
What you’ll do
Own and Ship Features:
Design, implement, test, and ship backend features and improvements with minimal guidance, working in Ruby/Rails, Go, or any other modern languages.
Build for Production:
Write maintainable, secure, observable, and performant code. Design and maintain APIs, background jobs, integrations, and bounded service functionality, and work with data models, migrations, indexes, and query behavior.
Test and Review:
Add and improve automated coverage — unit, integration, contract, and end-to-end where appropriate — and review others’ code for correctness, maintainability, security, performance, and operational risk.
Operate What You Build:
Investigate build, test, deployment, and runtime failures at the feature boundary, identify technical debt and propose practical improvements, and take part in on-call or operational support where your team’s ownership model requires it.
Leverage AI:
Use AI productively in daily work, validate what it produces, and understand where its limitations matter.
What you’ll bring
Backend Fundamentals:
Professional experience building and shipping production backend applications, with strong programming, API, database, testing, debugging, and performance fundamentals.
Adaptability:
Experience with Ruby/Rails, Go, or any other modern backend language. We value the ability to learn and adapt over mastery of a single language.
Feature Ownership:
The ability to take a feature from clarification through delivery and follow-up, working independently while seeking input at the right time.
Practical Judgment:
Sound instincts about security, reliability, performance, maintainability, and operational risk, plus an understanding of modular backend boundaries and the consequences of coupling.
Clear Communication:
Strong written communication and effective collaboration in a remote, asynchronous environment.
AI Fluency:
Practical experience with AI coding tools, including the ability to review and correct what they generate.
Helpful experience
Production Go services, APIs, concurrency, profiling, or gRPC.
Docker, Kubernetes, Helm, CI/CD, or cloud deployment.
Rust, particularly for systems, security, performance, or platform work.
PostgreSQL, schema evolution, caching, queues, messaging, or event-driven workflows.
Observability using metrics, logs, traces, dashboards, and alerts.
Contributing to a modular monolith, bounded context, shared component, or independently operated service.
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.
Country Hiring Guidelines:
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.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
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.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
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.
Country Hiring Guidelines:
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.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
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.
ГибридBeograd, Serbia
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УдалённоUnited States; San Francisco; Seattle; New York; Toronto
ГибридSan Francisco
УдалённоseniorГеография найма не уточнена
leadCanada, Remote
Bangalore, India
Bangalore, India
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