Вакансии

Location: Remote, Canada; Remote, US 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. An overview of this role GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle. As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality. This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining. This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps. What You’ll Do Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development. Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it. Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows. Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why. Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly. Help teams ship fast with quality, balancing near-term execution with longer-term product direction. Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome. Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle. What You’ll Bring Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products. Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery. Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs. A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization. Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category. Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle. Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt. Strong collaboration and communication skills, especially in an all-remote, asynchronous environment. A bias toward action and the ability to help teams ship meaningful customer value quickly. About the team This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way. You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD 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: Netherlands; Romania; Bulgaria; Canada; Serbia; Kazakhstan; United States; Spain; Portugal; Moldova; Philippines; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We are looking for a Product Manager to ensure we always build the most valuable things for our marketplace — measured in money, not opinion. You will own the outward half of the product: users, market, and the "what and why." Working closely with a Product Owner who owns delivery ("how and when"), your job is to make sure not a single sprint is spent on something that does not move LTV, margin, or retention. Requirements 3+ years in B2B SaaS or marketplaces, with clear examples of metrics you moved and can prove. Strong understanding of unit economics, including LTV, CAC, payback, and contribution margin. Hands-on user research experience with real synthesis work behind it. Ability to tie product ideas to measurable upside before development starts. Experience pulling and working with your own data using SQL, Amplitude, BigQuery, or similar tools. English C1+; your users are American real estate investors, and communication needs to be sharp and clear. AI-first by default — if you are not using AI to 3x your output already, you will be behind our engineers. High ownership and strong decision-making in ambiguous, fast-moving environments. What You'll Be Doing Talk to users constantly: buyers, power accounts, and churned users — and turn conversations into decisions, not decks. Own platform improvement broadly across onboarding, buying experience, lead quality, retention, and monetization. Find the weakest link, fix it, then move to the next. Own the unit economics of every bet by tying each brief to LTV, CAC payback, margin per lead, or revenue per active user. If you cannot put a number on the upside, it is not a brief yet. Model value before anything is built, using rough sizing of expected impact so engineering time goes to things that move money, not things that only feel nice. Write one-page briefs built around problem, evidence, and expected impact, then hand them off and trust the execution. Ship experiments weekly, kill failures fast, and scale winners. Pull your own data directly; there should be no analyst between you and the truth. Track competitor changes closely and know what they shipped before users tell you. This is not for you if You measure success in features shipped. You cannot tie a feature to a number. You want to manage the sprint and own the delivery. That is a different role. What we expect from you (first 3 months) We do not do long onboarding. Access on day one, context in days, a real problem in week one. We hire people who create value with incomplete information, because that is the job every day after probation too. End of month 1: you know the platform as a real user does because you have used it like one; you have mapped the weakest points in the funnel, ranked with evidence and value; and you have handed off your first accepted brief. End of month 3 (the bar): multiple shipped changes with measurable results you can defend, with at least one of them moving a core metric such as activation, churn, LQS, or revenue per user. A live experiment pipeline exists so something is always being tested. Your validated brief backlog is deep enough that the team never waits on you for direction. We trust your "this is worth building" without re-checking it. How We Work With You: We use honest checkpoints at 2 weeks, 1 month, and 2 months. We judge trajectory, not perfection. Wrong fast and corrected beats slow and safe. If the fit is wrong, both sides should know by month 2 and say it out loud. Nice to Have Experience in startup or fast-scaling tech environments. Experience in marketplace, SaaS, real estate, lead generation, or other performance-driven digital businesses. Familiarity with experimentation systems, product analytics, and growth-focused product work. What We Offer Impact: Work at the core of a product-led, AI-powered startup where your decisions directly affect business performance. Autonomy: High ownership, low bureaucracy, and real authority over product direction. Flexibility: Remote-first culture with flexible hours and async-friendly communication. Compensation: Competitive salary above the market average. Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. Time Off: Three weeks paid vacation plus 5 paid sick days annually. Growth: Unlimited learning policy — paid courses, books, and growth resources. AI-Heavy Environment: AI is deeply embedded across prospecting, research, and workflows. Ownership: Real decision-making power and direct ownership of your outcomes.

Задачи: — Анализировать поведение игроков для выявления закономерностей и возможностей. — Проектировать и анализировать A/B тесты: от постановки гипотез и расчёта размера выборки до интерпретации результатов и предоставления рекомендаций. — Поддерживать запуск новых функций, предоставляя аналитику для оценки и принятия решений на основе данных. — Самостоятельно выявлять тренды и аномалии, а не только реагировать на запросы. — Тесно сотрудничать с продюсерами и гейм-дизайнерами. — Создавать и поддерживать качественные дашборды в Tableau. — Проектировать и внедрять новые аналитические события в продукт. — Вносить вклад в разработку и развитие внутренних аналитических инструментов. Требования: — Опыт работы от 1 года в роли Product или Data Analyst в игровой индустрии. — Продвинутый уровень SQL, опыт работы с BigQuery. — Мастерство в A/B тестировании, понимание статистики и ограничений. — Знание метрик F2P и их взаимосвязей. — Умение создавать профессиональные дашборды в Tableau. — Навыки коммуникации для простого изложения сложных данных руководству. — Базовый опыт работы с Git для управления запросами и аналитическим кодом. — Использование современных AI-инструментов (Claude, Cursor и др.) для повышения эффективности. Преимущества: — Знание dbt и понимание моделей данных. — Владение Python для аналитики (Pandas, визуализация, автоматизация). — Опыт работы с платформами для экспериментов (GrowthBook). — Интерес к AI и его практическому применению. Условия: — Баланс работы и личной жизни. — Возможность работать в офисе и удалённо по согласованию. — Подарки от компании по важным событиям (100 USD). — Личный депозит на благополучие 250 USD. — 30 больничных дней в году с 100% оплатой при превышении лимита. — 19 оплачиваемых отпускных дней в году. — 12 дней отпуска по уходу, по одному в месяц.

Mindly разрабатывает AI-based приложения для ментального здоровья. Вакансия Technical Product Manager (Payments). Требования: — Опыт growth-экспериментов и A/B-тестов — Технический майндсет — AI Native Размер команды — 12 человек.

Задачи: — Проводить исследования рынка и конкурентов для новых стратегических B2B-направлений; — Общаться с B2B-клиентами (Customer Discovery, интервью, качественный сбор фидбека); — Готовить сильные материалы для команд Sales/BizDev (питчи, FAQ, онбординг, обработка возражений); — Детально анализировать метрики после запуска (доход, адаптация фич, фидбек). Требования: • Опыт в B2B product-facing роли (Product / Business Analyst, PM, Pre-sales, Implementation); • Четкое понимание B2B-моделей, коммерческой упаковки и GTM-процессов; • Отличный английский язык и системное, структурное мышление; • Использование AI в ежедневной работе (исследования, саммари, документация) для ускорения процессов; • Плюсом будет практический опыт в доменах Fintech, SaaS или трейдинге. Условия: ✅ Полная медицинская страховка для твоего здоровья; ✅ Комфортный и современный офис (свежие фрукты каждый день, пицца по средам, снэки по пятницам); ✅ Частичная компенсация занятий спортом и бесплатные уроки греческого языка; ✅ Забота о семье: Welcome Baby Bonus и Baby Box, а также приятные ваучеры на день рождения!

Responsibilities: • Form and prioritize product backlog • Manage roadmap and stakeholder communication • Set up audio capture system • Automate protocol generation • Coordinate teams and integrate analytics into CRM Requirements: • three+ years as PO/PM • two+ years deploying ML/AI products • Experience with cross-functional teams • Understanding AI product lifecycle • ASR, NLP, audio classification Optional requirements: • Whisper • NeMo • Kaldi

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own a part of the agentic stack and are the go-to person for it across the company You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 5+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and operated well in ambiguous, unstructured environments Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Задачи: — вести продукт целиком, быстро проверять гипотезы и отвечать за результат. Требования: — опыт end-to-end управления продуктом; — опыт работы с D2C-продуктами и подписочной моделью; — опыт в Health / Telehealth / Weight Loss / Wellness; — использование AI как рабочего инструмента. Условия: — полностью удалённый формат; — международный продукт с фокусом на рынок США; — небольшая команда и прямое взаимодействие с фаундером; — высокая скорость принятия решений и возможность влиять на развитие продукта.

Location: New York City, New York 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 an exceptional Director of Product to lead our Financial Incentives team. This role will report to the Head of Product. Your team owns the financial layer that drives world-class engagement amongst Garner members and steers them to top-performing providers by making Garner the most convenient and affordable way to pay for healthcare. You will lead 3-4 teams responsible for the member-facing incentive experience, our portfolio of payment mechanisms (card, HRA, HSA contributions, direct provider payment, and emerging alternatives), employer-facing plan design and coverage policies, and the core platform that adjudicates claims, moves money, and reports on it. Today, Garner reimburses $100M+/yr and growing in patient bills annually: you will be responsible for making that experience delightful for members, trusted by employers, and resilient at scale. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the strategy and roadmap for Garner’s Financial Incentives portfolio, spanning the member incentive experience, the suite of payment mechanisms (card, HRA, HSA, direct provider payment), employer-facing plan design and coverage policies, and the underlying claims adjudication, payments, and ledger platform. Build, mentor, and scale a high-performing product management team (4 PMs and growing) and develop the next generation of PM leaders at Garner. Act as Garner’s internal and external-facing executive-level subject matter expert on financial incentives, payment mechanics, and the operational systems that move money reliably at scale. Partner closely with Engineering, Design, Operations, Finance, Legal, Compliance, Clinical, and GTM teams to ship trusted, mission-critical products. Define the metrics that matter and rally the organization around them. Make sharp prioritization decisions across a portfolio with high regulatory complexity, high customer expectations, and significant 0-to-1 product surface area still to build. The ideal candidate has: 8+ years of product management experience, including 3+ years managing and developing product managers. Demonstrated experience building and shipping financial products at scale — payments, ledgers, card programs, consumer financial experiences, or other money-movement systems. Deep expertise in at least one of payment infrastructure (rails, settlement, reconciliation, ledger) or consumer financial products (card, rewards, reimbursement, HSA/HRA-like instruments) at scale. Track record of leading both 0-to-1 product development and the scale-up of production systems, comfortable building net-new platforms and improving systems already moving real money. Strong technical fluency—can credibly engage engineering on system design, data models, APIs, and reliability tradeoffs. Exceptional written and verbal communication, with the ability to drive alignment with executives, internal teams, and external partners. 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. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target base salary range for this position is $323,000 - $379,000. 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), 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: New York City, New York 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 an exceptional Senior Product Manager to lead our Payment Foundations team, responsible for building a secure, reliable, and scalable platform for money movement across Garner. This role is the core platform enabling Garner’s financial incentives, which drives best-in-class health and financial outcomes for patients and employers. This role reports to the VP of Product Management. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own Garner’s payments platform strategy and roadmap, including payment systems, financial ledger, payments data products, and payment operations tools. Be the internal and external owner for Garner’s payment partner and vendor integrations, including our payment processing and card vendors, bank partners, and HSA provider integrations. Drive development of APIs, integrations, and platform capabilities that enable teams across Garner to initiate, track, and reconcile money movement safely and reliably. Establish company-wide standards for compliance, financial reporting, and incident response. Partner with product, engineering, operations, legal, and finance to enable 0-to-1 payments products and use cases. Example projects include designing a financial ledger to record member account balances and transactions, developing automated integrations with Health Savings Account providers to make deposits on behalf of members, and expanding reimbursement methods for members through Paypal or Venmo. The ideal candidate has: 5+ years of Product Management experience, including at least one role owning a technical or platform product end-to-end Strong systems thinking and detail orientation — you instinctively look for edge cases and reason from first principles about how systems can fail Strong technical background, with experience owning technical products APIs, integrations, and data systems Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders Bonus: experience building financial or other highly-regulated products, or large-scale financial systems 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. 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. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $222,000 - $245,000. 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), 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: New York City, New York 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. Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Product Manager to lead our Employer Experience team, the team responsible for building our employer-facing benefit experience. This role owns both the external-facing experience and internal systems and tools that support how Garner’s employer clients interact with and experience the Garner benefit. This includes our client and broker-facing Garner Portal, our invoicing and eligibility systems, and a suite of internal applications operated by the Implementations, Integrations and Finance teams. This role reports to the Head of Product. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own Garner’s external-facing employer experience strategy and roadmap, including development and expansion of the Garner Portal. Drive development of internal revenue and eligibility data products that enable teams across Garner to perform analytics based on Garner’s membership and revenue. Partner with product, engineering, operations, legal, and finance to enable 0-to-1 employer-facing products and use cases. Example projects include designing a broker-facing product enabling them to gain insight into the performance of their customers, or building a data warehouse product enabling innovative provider and plan analytics. The ideal candidate has: 5+ years of Product Management experience, including at least one role owning a technical or financial product end-to-end. Strong systems thinking and detail orientation. You instinctively look for edge cases and reason from first principles about how systems can fail Strong technical background, with experience owning financial or data systems at scale. Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders. Deep AI fluency, using AI daily to run analyses, build prototypes, and automate workflows. You pride yourself on staying at the bleeding edge of what’s possible. 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. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $222,000 - $245,000. 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), 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase Help set technical standards and best practices for the team, and mentor other engineers Minimum Qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Strong software engineering fundamentals and hands-on coding ability Experience making architectural decisions that other engineers and teams build on top of Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Demonstrated ability to operate effectively in ambiguous, fast-changing environments Strong candidates may also have Experience building infrastructure or platforms specifically for research or machine learning workflows Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems Experience with distributed systems, cloud infrastructure, and infrastructure-as-code Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy Prior experience as a technical lead or mentor for other engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Platform Product Manager owns the product planning and design of the R&D Efficiency Platform and Cloud Management Platform, working closely with frontline R&D and Ops teams to translate pain points across CI/CD, DevSecOps, Change Management, and multi-cloud management into clear product solutions, and continuously measuring and optimizing platform value through a data-driven approach. What You’ll Be Doing Own product planning, roadmap, and release cadence for the R&D Efficiency Platform and Cloud Management / Operations Automation Platform; Uncover frontline pain points across CI/CD, DevSecOps, Change Management, and multi-cloud management , translating them into clear product solutions; Lead the functional and process design of core modules such as CI/CD, Change Management, security gates, and full-lifecycle multi-cloud resource management ; Drive the platform's AI-Native evolution , planning AI Agent / LLM productization for intelligent review, pipeline self-healing, intelligent cloud orchestration, and ChatOps; Collaborate with R&D, SRE, and Security teams to onboard business systems, improving engineering efficiency and delivery quality; Establish a data-driven metrics system (DORA metrics, change success rate, MTTR, cloud resource utilization/cost) to continuously optimize platform value. What We Look For In You Bachelor's degree or above in a Computer Science related field, with 3+ years of B2B / platform product management experience; Deep understanding of the DevOps / CI/CD lifecycle and software delivery process; Familiar with at least one product form among Cloud Management Platforms (CMP), multi-cloud management, R&D efficiency platforms, or IDPs ; Strong requirement insight, structured thinking, and product design skills; Data-sensitive, skilled at driving product decisions through metrics; Knowledge of AI / LLM productization (Agent, RAG, ChatOps), with a perspective on embedding AI into products; Excellent cross-team communication and fluent English communication skills. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE TEAM We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions. RESPONSIBILITIES - Enable efficient data access by creating and maintaining data pipelines. - Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process. - Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics. - Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes. - Design new and improve current patterns for building data models and implement necessary modifications. REQUIREMENTS - 5+ years of experience in data engineering or in a similar role. - Extensive experience with Apache Spark using Python for large-scale data processing. - Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage. - Experience with AWS, Azure, or other Kubernetes platforms is a huge plus. - Must have hands-on expertise with Git for version control and collaboration. - Solid knowledge of SQL, essential for querying and managing relational databases. Salary ranges: 58000-70 000 euro gross annually What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-JP1

Мы строим продукт, через который пользователи находят и покупают билеты на события: концерты, спектакли, спорт, фестивали. Открыты три роли: 1. Product Lead: Афиша Ownership за весь покупательский опыт: от поиска события до повторной покупки. Нужен человек с 5+ лет опыта, который умеет работать с деревом метрик, строить гипотезы и управлять несколькими командами. 2. Product Manager: Acquisition & Retention Воронка, конверсия, CRM, A/B тесты, повторные покупки. Если вы умеете превращать поведенческие данные в рост метрик, то это ваша роль. 3. Product Manager: B2B Кабинет организатора: self-service, аналитика, финансы. Ищем человека с опытом в B2B или SaaS, который умеет работать с бэклогом и вести команду от идеи до релиза.

About the Role We are a Las Vegas based game studio born on the Roblox platform and built by people who genuinely love this community. As a community-first studio, we care as much about our worlds and players as we do about the people building them. That mindset has helped us grow into one of the most innovative teams on Roblox, pushing boundaries, shaping culture, and setting new standards across the platform. With over 8B game visits, 44M monthly players, and a 19M member community, our worlds have become a core part of the Roblox ecosystem. We’re a ten-time winner of the Roblox Innovation Awards and recognized as builders of the future of the platform. From Creatures of Sonaria and Dragon Adventures to World // Zero and Horse Life, we create experiences that players live in, not just visit. What we are looking for We're looking for a passionate, data-driven Product Manager to join our game teams. In this role, you'll own the product vision and roadmap for your game, partnering closely with Design, Engineering, Art, Marketing, and Commerce to ship features that delight players and drive long-term growth. You'll sit at the intersection of player experience, game design, and live-ops, working within the unique constraints and opportunities of the Roblox platform, where your players are vocal, your community is enormous, and your updates ship in weeks, not quarters. Responsibilities: — Own and drive the product roadmap for your game, from ideation through launch and post-launch iteration. — Analyze game metrics and player behavior to identify opportunities, diagnose problems, and measure the impact of shipped features. — Stay close to your game's community to understand what players love, what frustrates them, and what they're asking for next. — Collaborate with creative leadership to plan seasonal content, events, and monetization updates that resonate with your players. — Partner with design, engineering, and art teams to translate product vision into well-scoped, executable work. — Define and prioritize features based on player feedback, data, and strategic goals — Write clear product specs and briefs that give your team everything they need to build with confidence. — Run sprint planning, reviews, and retrospectives to keep the team focused and unblocked. — Communicate progress, risks, and learnings to stakeholders clearly and proactively. — Foster a culture of focus, momentum, and fun across your team. Requirements: — 1–3 years of experience as a Product Manager or Producer in gaming. — Strong analytical mindset. You are comfortable working with data to inform decisions and measure outcomes. — Experience owning a product roadmap end-to-end, including prioritization, scoping, and shipping. — Familiarity with Roblox Studio. You don't need to write Lua, but you should be able to open a place in Roblox Studio, navigate a game hierarchy, understand how assets and scripts are organized, and speak credibly with developers about scope and feasibility. — Excellent written and verbal communication skills. You can write a crisp spec and present a clear recommendation to leadership. — Experience with live service products and the cadence of ongoing updates, events, and seasonal content. — Collaborative by nature. You work well across disciplines and know how to build trust with creative and technical partners. — Comfortable using tools like Notion, Google Suite, Discord, or similar for roadmap management and documentation. Location: This is a remote-first role open to candidates anywhere in the world. Las Vegas-based team members work in-office Tuesday through Friday (Monday optional). If Vegas sounds fun, we offer relocation support for candidates interested in moving here. In-office perks include daily DoorDash credits to keep you fed, commuter credits to cover your ride in, and a monthly game stipend because we think playing games is part of the job. We are actively building a UK talent hub in anticipation of a dedicated UK office. Candidates across the UK are warmly encouraged to apply.

Location: Paris; London 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 Product Manager on the Studio team, you will define and execute the product strategy for one of our squads : Workflows, Observability, AI Registry & Spaces, Harness & Agent Platform, APIs & SDKs, and more. This role exists to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions. Our Studio product provides the infrastructure enterprises need to move from prototypes to production, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets. Your squad will focus on a specific area directly impacting how enterprises deploy and manage AI systems. You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments. Your work will shape the standards, traceability, and continuous improvement that turn AI into a dependable operational capability. What You Will Do - Define and communicate a clear product strategy for AI tools, aligned with company goals and market opportunities. - Lead market and user research to uncover unmet needs and emerging trends. - Drive end-to-end product development, from concept to launch and iteration. - Partner with design and research to create effective user experiences. - Collaborate with marketing and sales to launch products, including pricing and positioning. - Align engineering, design, and business teams around priorities and trade-offs. - Maintain a roadmap that balances short-term results and long-term goals. What We're Looking For - Experience with AI products, including large language models or machine learning, and understanding of technical trade-offs. - Experience launching and scaling products, particularly in early-stage environments. - Commitment to solving real user problems, using data and qualitative insights. - Proven ability to align and inspire cross-functional teams without direct authority. - Balance between strategic thinking and hands-on problem-solving. - Strong communication skills for executives, teams, and users. - Ability to thrive in dynamic environments where priorities shift. - Self-directed, taking initiative to navigate unknowns and own outcomes. 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.

Задачи: — формировать продуктовую стратегию вместе с топ-менеджментом; — находить реальные проблемы пользователей через CustDev и аналитику; — запускать и проверять гипотезы, влиять на Activation, Retention, Conversion, ARPU; — писать понятные PRD и User Stories, вести продукт от идеи до результата. Требования: — 5+ лет в Product Management; — сильная продуктовая аналитика; — опыт запуска или масштабирования цифровых продуктов; — опыт B2B SaaS и быстрорастущих стартапов будет большим плюсом. Условия: — реальные полномочия, высокая самостоятельность; — прямое влияние на международный продукт; — возможный ESOP для сильных сотрудников; — офис в центре Астаны; — график 5/2.