Вакансии

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies COMPENSATION $150,000-$190,000 base salary + equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Задачи: — Разработка ИИ‑агентов и мультиагентной платформы: логика, взаимодействие и оркестрация. — Интеграция с LLM: подключение моделей, промпты и обработка ответов. — Разработка REST API для интеграции с системами и микросервисами. — Работа с БД: оптимизация SQL, миграции, индексирование и кеширование. — Асинхронная обработка: обработчики событий и очереди сообщений. — Развёртывание и CI/CD: Docker, Kubernetes, создание pipeline. Требования: — Коммерческий опыт разработки на Python (3.9+) от 4 лет. — Опыт создания ИИ‑агентов (LangChain, LangGraph, CrewAI). — Опыт работы в финансовом, корпоративном или высоконагруженном проекте. — Асинхронное программирование; asyncio, aiohttp. — Разработка REST API и микросервисов; FastAPI, Pydantic, Django, Flask. — Контейнеризация и работа с БД: Docker, основы Kubernetes, PostgreSQL, Redis, MongoDB. Будет плюсом: — Опыт создания и внедрения мультиагентных систем. — Работа с локальными LLM: Llama, Qwen, DeepSeek R1, Ollama, vLLM. — Fine‑Tuning моделей и опыт MLOps/DevOps. — Kafka, RabbitMQ, продвинутый SQL и оптимизация, GPU‑расчёты. Условия: — Конкурентная и прозрачная з/плата; обсуждается на собеседовании + квартальная премия. — Полная удалёнка или гибрид; офисы/ИТ‑хабы в нескольких городах. — ДМС с первого дня (включая стоматологию), страхование и компенсация больничных. — Поддержка обучения: конференции, курсы, внутренние тренинги и демо‑дни. — Оплата посещения профильных конференций и доступ к корпоративным библиотекам.

Задачи: — Разработка ИИ агентов и мультиагентной платформы, включая логику агентов, взаимодействие и оркестрацию — Интеграция с LLM: подключение моделей, создание промптов, обработка ответов — Разработка REST API для интеграции с системами и микросервисами — Работа с базами данных: оптимизация SQL-запросов, миграции, индексирование, кеширование — Асинхронная обработка событий и очередей сообщений — Обработка документов: парсинг, валидация, работа с разнородными данными — Обеспечение безопасности: шифрование, валидация входных данных, информационная безопасность — Развёртывание с использованием Docker, Kubernetes и CI/CD pipeline — Тестирование: написание unit и интеграционных тестов, покрытие кода — Оптимизация кода и запросов, работа с кешем — Документирование кода и архитектуры: docstrings, README, документация API Требования: — Опыт коммерческой разработки на Python (версии 3.9 и выше) не менее 4 лет — Опыт создания ИИ агентов, включая работу с LangChain, LangGraph, CrewAI — Опыт работы в финансовых, корпоративных или высоконагруженных проектах — Знание асинхронного программирования и разработки REST API и микросервисов с использованием asyncio, aiohttp, FastAPI, Pydantic, Django, Flask — Опыт контейнеризации с Docker и базовые знания Kubernetes — Опыт работы с PostgreSQL, Redis, MongoDB — Будет преимуществом опыт создания мультиагентных систем, работы с локальными LLM (Llama, Qwen, DeepSeek R1, Ollama, vLLM), Fine-Tuning моделей, работы с Kafka, RabbitMQ, продвинутый SQL, оптимизация, GPU-вычисления и DevOps/MLOps Условия: — Стабильный и прозрачный доход с обсуждением размера заработной платы по итогам собеседования и квартальной премией по результатам KPI — Возможность выбора между полностью удалённой работой или гибридным форматом с офисами в Москве, Санкт-Петербурге, Екатеринбурге и сезонным коворкингом в Сочи — Работа с современным стеком технологий и сложными задачами — Программа ДМС с первого дня работы, включая стоматологию, обслуживание в лучших клиниках, страхование и компенсацию 10 дней больничного — Возможности карьерного роста через тренинги, вебинары, митапы и демо-дни — Оплата посещения профильных конференций и курсов, помощь в подготовке к публичным выступлениям и написании статей — Доступ к бесплатным корпоративным библиотекам Alpina Digital, MyBook и бизнес-изданиям — Дополнительные предложения для сотрудников банка: спортзалы в нескольких городах, скидки на услуги туристических агентств, продукты питания, рестораны, бары и магазины

🤖 Middle Python dasturchi (AI Agents) kerak. 🛠 Texnologiya: Python, Django, PostgreSQL, Docker, REST, Celery, SQL, Redis, Linux, Git.

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Customer Experience team helps customers adopt LangSmith and turn early momentum into lasting product usage. The team partners closely with GTM, Product, Engineering, and LangChain specialists to guide customers through onboarding, production readiness, and the practices required to build reliable AI applications. ABOUT THE ROLE We’re looking for an Activation Specialist to join the Customer Experience team. In this role, you’ll work with new customers during their first weeks on LangSmith, helping them move from signed contract to a working platform that is ready for agents in production. You’ll focus on activation milestones such as admin setup, user onboarding, traces flowing, evaluations in place, and customer teams feeling confident enough to keep building independently. WHAT YOU’LL DO - Own customer onboarding from kickoff through early activation milestones, including admin setup, SDK integration, first traced run, first evaluation, and LangGraph deployment. - Guide customers through core LangSmith setup and production readiness topics, including security, org design, workload isolation, and integration questions. - Partner with GTM teams, Product, Engineering, and LangChain specialists to unblock customers and coordinate support when deeper expertise is needed. - Help customers build their first evaluation workflows, define what “good” looks like, and confirm they can debug a production trace independently. - Route customers to the right resources and turn recurring onboarding questions into runbooks, documentation, and repeatable processes. - Surface customer friction to Product and Engineering early and track activation metrics such as time to first trace, first evaluation, and production run. WHAT YOU’LL BRING - 2–4 years of experience in a customer-facing role such as support, customer success, account management, onboarding, or a similar function. - A strong desire to work directly with customers and build productive, trusted relationships. - Excellent organization and follow-through, with a track record of keeping customers and internal partners aligned. - A proactive, industrious approach to learning new tools, solving problems, and rolling up your sleeves. - Clear, friendly written and verbal communication skills. - Curiosity about technology and AI, plus a willingness to get hands-on and learn technical concepts on the job. NICE TO HAVE’S - Customer onboarding experience at a SaaS company. - Familiarity with enterprise readiness concepts such as SSO, SCIM, ABAC, and workload isolation. - Exposure to developer tools, observability, evaluations, or AI/LLM workflows. - Familiarity with analytics, BI tools or SQL. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE LangChain's web presence is both a product and a growth engine. Developers visit our site to evaluate our tools, learn what we build, and decide whether to go deeper. We're looking for a Web Lead to own the strategy, quality, and evolution of LangChain's web properties across marketing, product, and education. This is a high-ownership role for someone who thinks in systems and cares about craft. You'll set the strategic direction for how LangChain presents itself on the web, establishing the processes that keep the site accurate and high-performing, leading conversion and SEO initiatives, and partnering closely with content, design, growth engineering, and demand gen to bring it all together. What You'll Do Web Ownership - Lead the web roadmap. Maintain a clear, prioritized view of what needs to be built, fixed, or improved across LangChain's web properties, balancing strategic initiatives with ongoing maintenance, quality, and reliability. Translate business priorities into web plans and drive them to completion. - Coordinate cross-functional web work. Serve as the central point of contact for web across marketing, education, product marketing, design, and growth engineering. Run the intake, review, and launch process so teams can ship web changes with speed and confidence. - Own the site's structural health. Establish and enforce processes for keeping the site accurate, up-to-date, and free of technical debt. This includes governance for page creation and deprecation, content hygiene, and cross-functional intake so nothing slips through the cracks. - Manage the CMS and tooling stack. Own the relationship with our CMS and web tooling vendors. Ensure the right systems are in place for the team to operate efficiently, and evaluate new tools as the site's needs evolve. Conversion & Performance - Own conversion rate optimization. Develop and execute a CRO program across key pages, including homepage, product pages, pricing, and landing pages. Design and run experiments, analyze results, and translate findings into durable improvements to the site's ability to drive signups, product adoption, and pipeline. - Define and track web performance metrics. Establish the reporting framework for how we measure web effectiveness across traffic, engagement, conversion, and downstream impact on product metrics. Own a regular reporting cadence that gives stakeholders a clear view of what's working and where to invest. - Partner with demand gen on landing pages. Work closely with marketing to design, build, and optimize campaign landing pages that convert. Bring a disciplined, test-and-learn mindset to paid and organic landing page performance. SEO - Build the bridge between SEO and content. Partner with the content team to ensure editorial and technical content decisions are informed by search data, and that published content is positioned to capture and convert high-intent traffic. Establish shared processes for keyword research, on-page optimization, and performance tracking. - Partner with Content on SEO strategy for LangChain's web properties. Help define the organic search strategy across marketing and product pages, working in close partnership with our SEO agency and content team. Prioritize based on search intent, competitive opportunity, and business impact. - Own technical SEO. In partnership with engineering, ensure the site's technical foundation supports strong organic performance across site speed, Core Web Vitals, crawlability, schema markup, and indexing health. Strategy & Stakeholder Alignment - Be the strategic voice on web. Bring a clear point of view to questions like: what should the information architecture look like as we scale? How do we balance developer credibility with commercial clarity? How does the website evolve as the product and company grow? - Align web to business goals. Understand what marketing, sales, product, and education need from the site, and translate those needs into a coherent web strategy. What We're Looking For - Strategic operator. You can hold the long-term vision and the day-to-day execution at the same time. You know when to move fast and when to slow down and get alignment. - Deep web fluency. You understand how great websites are built; the architecture, the technical foundations, the tooling, and the operational discipline that drives performance. - Analytically rigorous. You know how to define what good looks like, instrument it, and use data to make decisions. You're comfortable in analytics platforms and can design and interpret experiments. - Developer audience instincts. You understand what earns trust with technical audiences and know how to present LangChain credibly to developers. - Collaborative and clear. You'll work across a lot of functions. You're able to build alignment, communicate trade-offs, and keep things moving without needing authority over everyone involved. Salary Range: $200,000 - $230,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

We are looking for a strong, hands-on Senior AI Engineer who can design, build and scale production AI system to join an exciting project for a leading Israeli startup operating in stealth mode. You will take ownership of AI architecture, develop multi-agent workflows, work with large datasets, and build reliable, scalable AI applications.

We are looking for an experienced Senior Python Backend Engineer to join our team and contribute to the development of scalable, production-grade backend solutions powered by modern Python and Generative AI technologies. — Build and maintain RESTful APIs, data schemas, and integrations with external services, knowledge sources, and AI components.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We’re looking for a Head of GTM Enablement to build and scale the programs, systems, and habits that help our GTM teams perform. As product delivery accelerates and our portfolio and sales motions grow more complex, you’ll ensure the field keeps pace—turning new capabilities into effective execution without adding unnecessary overhead. You’ll lead a distributed enablement team and partner with leaders across Sales, Marketing, Product, Customer Engineering, Deployed Engineering, and Revenue Operations. You’ll balance global standards with role and regional needs so priorities translate across regions and roles. Success means faster ramp, stronger field execution, and measurable contributions to pipeline and revenue—not simply more training. You’ll own the strategy and orchestration behind AI in the field: one consistent, continuously current body of GTM knowledge that the tools other teams build can rely on, so delivery, effectiveness, measurement, and scaling all improve as the field grows. You’ll be equally deliberate about where humans remain essential: the conversations and strategic direction that enabling GTM at large requires. WHAT YOU’LL DO SET THE GLOBAL ENABLEMENT STRATEGY - Define and execute a GTM enablement strategy aligned with revenue growth, customer expansion, and market priorities. - Partner with executive and regional leaders to identify capability gaps and execution bottlenecks, directing investment toward the highest-impact opportunities. - Own enablement planning, budget, governance, and operating cadence, with clear priorities, ownership, and success measures across onboarding, technical and product enablement, and outbound enablement. - Decide where AI changes the enablement model and where human-led work stays, and set the standard the rest of GTM builds against. BUILD PROGRAMS THAT IMPROVE FIELD PERFORMANCE - Develop role-based enablement for Account Executives, Account Managers, Sales and Business Development Representatives, Partner/Channel Managers, Customer Engineering, and Deployed Engineering. - Tailor programs by segment, industry, and geography where it improves execution, preparing teams to support multiple use cases, buyer types, and platform opportunities. - Design and scale role-based 30/60/90-day onboarding that accelerates time to productivity and, for sellers, time to first deal. - Establish continuous learning, coaching, and certification programs that reinforce skills beyond onboarding. - Embed enterprise sales methodologies into day-to-day workflows, deal reviews, and pipeline inspections. - Equip frontline managers to reinforce skills, inspect execution, and coach consistently—making enablement part of how teams operate, not a separate training activity. - Structure programs so the knowledge behind them can be reused by AI-assisted practice, reinforcement, and certification, extending reach without proportional headcount. - Keep human coaching where it changes behavior, so scalable programs extend reach without replacing the conversations that build skill. TURN PRODUCT KNOWLEDGE INTO CUSTOMER VALUE - Partner with Product Management and Product Marketing to deliver timely, role-specific training and certification as new capabilities launch. - Own the internal training, practice, and reinforcement behind customer-facing messaging and assets, so GTM teams apply them effectively. - Turn product and market expertise into practical playbooks, competitive guidance, demo guides, and value-selling resources that are current, easy to find, and useful in customer conversations. - Own which assets are canonical, so every team and tool works from the same version as products and markets change. - Turn patterns from customer conversations, deal outcomes, and field feedback into updates to that knowledge, so what the field and its tools know keeps improving. LEAD AND SCALE A GLOBAL TEAM - Build, coach, and develop a high-performing team of enablement professionals supporting team members across the Americas, EMEA and APAC. - Establish clear decision rights and collaboration practices across global and regional teams, balancing consistency with local market needs and competitive dynamics. - Hire and develop for knowledge architecture and program strategy, not just content production, so the function can run without depending on you. SET THE SYSTEMS VISION AND OWN MEASUREMENT - Set the enablement technology vision across learning, content management, and conversation intelligence, and work with GTM Systems and GTM Engineering to execute it, including embedding enablement into workflows. - Define what canonical GTM content exists, who maintains it, and how it stays current, so the tools GTM Systems and GTM Engineering build operate from one source instead of diverging copies. - Lead the orchestration across GTM Systems, GTM Engineering, Product Marketing, and Revenue Operations, setting requirements for how their tools consume, refresh, and contribute back to that knowledge so quality compounds rather than drifts. - Build measurement frameworks and executive reporting that connect enablement investments to skill application, behavior change, pipeline, and revenue outcomes across roles and regions. - Use performance data, manager input, and field feedback to continuously improve programs and prioritize resources. WHAT YOU’LL BRING - 10+ years of relevant experience in GTM enablement within high-growth B2B SaaS organizations, including significant leadership experience. - A demonstrated track record of building and scaling global enablement teams and programs across multiple regions. - Experience supporting complex enterprise sales motions for technical products, enabling multiple GTM roles across use cases, buyer types, and the full buyer and customer lifecycle. - Practical AI fluency, with the judgment to lead strategy and orchestration rather than build tools yourself: what AI can carry, what the knowledge behind it must look like, and where human judgment stays in the loop. - Experience standing up or governing a shared knowledge or content system that multiple teams and tools depend on. - Deep expertise in enterprise sales methodologies such as MEDDPICC, Command of the Message, Challenger, or Value Selling—and a practical approach to embedding them into field execution. - Proven success designing onboarding, ongoing learning, product enablement, and manager coaching programs. - Experience partnering with systems and engineering teams to deliver enablement technology, with enough fluency to set requirements without owning the platforms yourself. - Strong analytical skills, with the ability to evaluate program effectiveness and communicate business impact to executive stakeholders. - Exceptional communication, storytelling, and cross-functional influence skills. - Credibility with field leaders and sellers, and the judgment to know when a conversation or coaching moment will move behavior more than a scalable program. - A builder’s mindset: the ability to define strategy, systems, and standards while staying close to execution in a fast-moving environment. - Bonus: experience leading or enabling customer-facing technical teams, such as Customer Engineering, Deployed Engineering, or Solutions Engineering, alongside a revenue organization. HOW WE’LL MEASURE SUCCESS - Shorter time to full productivity across GTM roles and faster time to first deal for sellers. - Measurable contributions to improved win rates, average contract value, and pipeline velocity. - Consistent application of core sales methodologies, reinforced through frontline manager coaching and deal execution. - Demonstrated skill development and sustained behavior change—not just participation in training or adoption of tools. - Field readiness that keeps pace with product delivery and growing business complexity, with teams prepared to execute on new capabilities, use cases, and sales motions as they launch. - AI tools across GTM operating from one current knowledge base, with less rework, drift, and duplicated content, and less administrative work in delivery. - Broader enablement coverage at a lower cost per program, showing the field reached more often without proportional headcount. - Coaching quality as rated by managers and sellers, not just coaching activity. - Improved field and manager satisfaction with enablement, alongside positive trends in GTM team retention. Salary: $225,000-$255,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - Europe Time Zones; Portugal; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We’re looking for a Senior Backend Engineer (Python) who will join our team. What will you do: - Design and build backend services in Python (FastAPI) - Implement async job execution and status tracking (Redis/Celery/Kafka) - Integrate with LLM services (internal & external) - Build and maintain external MCP servers that expose our platform to third-party AI agents and clients - Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage - Ensure stability, observability, and cost-efficient inference About you: - 5+ years Python backend experience - Strong FastAPI experience - Solid PostgreSQL + S3 (or equivalents) - Experience with async task queues (Celery, Redis, Kafka) - Production experience integrating with microservices: long-running jobs, retries, failure handling - Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and other generative models - Genuine enthusiasm for agentic AI and keeping up with how the field evolves - Basic observability skills (logging, monitoring, alerting) - Experience in cross-functional teams (frontend, ML) - Experience with AWS infrastructure, Docker, Kubernetes It would be great if you have: - Familiarity with LangChain or agentic workflows - Marketing technology background (ad platforms, creative tools) - Experience with StarRocks (or other OLAP databases, ex. Clickhouse)   WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Location: Bangalore Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? ABOUT THE ROLE Join the Vertical Solutions team and build UiPath's most ambitious product - an AI agentic orchestration platform that's been recognized as our Invention of the Year for two consecutive years. As a Senior Software Engineer, you'll be at the forefront of our Act 2 strategy, building the infrastructure that allows enterprises to seamlessly orchestrate AI agents, robots, and human-in-the-loop workflows to achieve critical business outcomes. You'll be working with Lax and the Maestro backend team to build the core orchestration engine that powers enterprise AI automation. This is a high-visibility, high-impact role on UiPath's biggest strategic bet. What You'll Do - Build and Scale: Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants. - Hands-On Development: Write production-quality code daily, leveraging AI tools (Claude, GitHub Copilot, etc.) to enhance your development workflow - Prototype and Ship: Take ideas from Prototype to validate with real customers and turn the ones that prove value into production systems. - Measure what matters: Design evaluations, measure quality against real customer data, and understand when metrics mislead. Our systems are often non-deterministic. Responsible shipping means measuring honestly, not chasing vanity numbers. - Customer-Centric Engineering: Deeply understand who will use the features you build and why they need them, translating customer needs into elegant technical solutions - Ensure Reliability: Contribute to building highly scalable, reliable distributed systems that enterprises depend on. What We're Looking For: - Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production - Strong full stack knowledge including frontend systems like React and backend systems -Python and/or C# — most Vertical Solutions product development is Python (agents, APIs, ETL), while core platform work includes C#, frontend in React. Willingness to work across both is important. - Experience building production AI systems — LLMs, tool-calling, multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), structured outputs, orchestration, and evaluation of model behavior in real-world workflows - Distributed systems experience — designing resilient systems with idempotency, replay ability, state management, and long-running jobs - Strong analytical thinking — able to reason quantitatively about system quality and make sound decisions using imperfect signals - Comfortable with ambiguity and rapid prototyping — able to move from idea to proof-of-concept quickly and iterate based on customer feedback. - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. What You'll Bring to the Team - Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience. - 7+ years of software engineering experience, with 4+ years focused on distributed systems and backend architecture. - Strong proficiency in one or more system-level languages – Javascript / C# / Java etc - Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts). - Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms. - Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution. - Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models. - Hands-on experience with cloud ecosystems: Azure, AWS, or GCP. - Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent. - Hands-on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows. - Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns. - Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code. - Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables. - Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels. Nice to Have - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. - Data science and evaluation - Experience with applied ML techniques such as classification, anomaly detection, ranking, or predictive modeling - Experience evaluating AI systems using experimentation, metrics, and empirical analysis to improve quality and reliability - Data and retrieval systems - Experience with large-scale data platforms (Snowflake, columnar warehouses, denormalized data models) - Familiarity with retrieval-heavy architectures, RAG systems, or citation-grounded AI workflows - Engineering for trustworthy AI - Experience blending deterministic and probabilistic systems (rules engines + AI) - Experience designing eval-driven systems, regression testing for LLM outputs, or human-in-the-loop review workflows - Platform and product development · Frontend familiarity (React, TypeScript) · Workflow orchestration platforms (Temporal, Airflow, Maestro, BPMN, Step Functions) · Kubernetes and distributed infrastructure · Experience in startups, applied research, or 0→1 product environments · Open-source contributions How We Work Vertical Solutions operates like an internal startup inside UiPath: small teams, fast iteration, and real customers in the loop. We build quickly, test ideas with users, and turn the best ones into products. Some ideas won’t make it — that’s expected. You’ll work in short cycles, demo frequently, and adapt as we learn. We care more about solving the right problem than protecting a plan that no longer fits. If you enjoy ambiguity, rapid feedback, and building where product boundaries move fast, you’ll likely thrive here. Why Join Us - Work on cutting-edge AI technology that's shaping the future of enterprise automation - Be part of a team building Times top 100 Invention of the Year (2 years running) - Collaborate with talented engineers who value rapid iteration and customer impact - Contribute to UiPath's Act 2 strategy - our most important product initiative. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

созданием пула LLM-агентов (Product Designer Agent, Architect Agent, QA Agent, Ops Agent).

Location: Москва В Отдел контроля безопасности программного кода Центра кибербезопасности Платформы требуется стажер. Зона ответственности направления – организация и проведение нефункционального тестирования (анализ защищенности, тестирование на проникновение) программных продуктов СБТ. Направление деятельности стажера – помощь сотрудникам направления в разработке ИИ-агента. Обязанности ### Обязанности * разработка исходного кода ИИ-агента направления анализа защищенности * реализация нового функционала ИИ-агента * усовершенствование имеющегося функционала ИИ-агента * написание новых навыков ИИ-агента * реализация связанности ИИ-агента со специализированными MCP-серверами (Kali Linux) * участие в проведении анализа защищенности программных продуктов * повышение экспертизы в методических и регуляторных документах направления анализа защищенности (ГОСТ, методики проведения работ). Требования ### Требования * опыт в автоматизации задач с помощью LLM * знание основных структур (skills, tools, MCP) и их спецификаций * опыт в проектировании архитектуры функциональности * опыт в написании тестов (pytest, junit и т.д.) * очная форма обучение в профильном техническом ВУЗе. ### Будет плюсом * опыт работы с фреймворками построения агентов (langgraph, langchain и т.п.) - желательно. Условия ### Условия * оплачиваемая стажировка * длительность стажировки: 3-6 месяцев. * офисный или гибридный формат работы в г. Москва (Новоданиловская набережная 10) * гибкий график и возможность совмещать с учебой: от 20 до 40 часов в неделю * возможность заниматься спортом в одном из спортзалов банка * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

etoro is looking for a BizOps AI Developer to build and deploy AI agents, RAG pipelines, and operational applications.

Location: Москва Наша команда [GigaLegal](https://sberpravo.ru/gigalegal/) создает автоматизированные решения для юристов с использованием технологий искусственного интеллекта (GigaChat и др.) Присоединяйся к нашей команде в качестве системного аналитика. Обязанности ### **Чем предстоит заниматься:** * собирать, анализировать и документировать требования от внутренних и внешних заказчиков в Confluence * описывать методы для интеграций, разрабатывать функциональные спецификации и API-контракты совместно с ML- и backend-командами * детализировать требования к функциональности ИИ-агентов (RAG-пайплайны, пайплайны для юридического анализа документов) * актуализировать существующую документацию * сопровождать проект от идеи до передачи заказчику готового продукта * формировать задачи на команды разработки * проводить демонстрации реализованного функционала. Требования ### **Что ожидаем от кандидата:** * высшее образование * опыт работы от 2-х лет в должности системного аналитика (плюсом будет опыт работы в консалтинге (банки/финтех/легалтех)) * понимание процесса разработки и жизненного цикла ПО * опыт работы в интеграционных проектах с использованием различных паттернов интеграций (REST, Kafka) * опыт работы с Jira, Confluence, Draw.io * опыт работы с базами данных, PostgreSQL, ElasticSearch (понимание структуры данных) * умение работать с инструментами проектирования API: Swagger, Insomnia * умение проектировать схемы процессов: UML-диаграммы, BPMN * понимание гибких методологий при разработке ПО _Будет плюсом:_ * понимание принципов работы LLM, RAG, LangChain / LangGraph * готовность разбираться в предметной области — российское законодательство, судебная практика, правовые вопросы; * навык работы с JSON-схемами, OpenAPI * базовые знания Python * опыт работы с PlantUML * навыки работы с генеративными AI-моделями Условия * формат работы офис на испытательном сроке, делее гибрид обсуждаем, локация офиса ул Вавилова д.19 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We’re hiring a Sales Development Manager (Central US) to lead and scale our founding SDR team at LangChain. This role will sit in our NYC office. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel HOW TO BE SUCCESSFUL IN THIS ROLE: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Toronto; Canada; United States Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW We're seeking a senior product leader to own Cohere's Inference as a Service business end to end. The product is sovereign, self-serve inference: a mid-market or enterprise buyer picks a model, a region and a GPU size, and is running the same afternoon with no procurement cycle and no infrastructure of their own. You'll decide which open-weights and first-party models we serve, in which regions and on which hardware, set the rate card they sell at, and carry the revenue and margin that follow from those calls. You own the platform around that endpoint as well, from the console and dashboards a customer administers their deployment through to the catalog of first-party and third-party models behind it. You'll set the strategy and run the execution, which means choosing where to spend across serving efficiency, the self-serve console and regional capacity when all three want the same budget, and shipping the deployment framework that removes infrastructure barriers while holding the line on data residency, compliance and operational confidence. You'll do that across engineering, serving, finance, legal and GTM without formal authority over most of it, and you'll be accountable for the outcome rather than for the roadmap. The timing is most of the opportunity. Every serious company is deciding where its models will run and what it costs to keep them running, serving demand is climbing faster than anyone can rack hardware for it, and very few of those buyers are willing to hand their data to an operator who can read it. We are starting this business from a standing start, with the models, the silicon and the encryption already in place and almost no one else able to offer the combination. You would be taking a product to market in the window where that advantage is still ours, building one of Cohere's major revenue lines from its first customer onward, and shaping how a generation of companies buys AI it can actually trust. RESPONSIBILITIES - Own the P&L for Inference as a Service: carry the revenue number, set the rate card, and keep blended margin above the floor as the catalog and the fleet grow. - Own the inference platform itself: the console and dashboards where customers see usage, spend, API keys, access control and attestation, and the value-add tooling that makes a managed endpoint worth more than a raw one. - Own the model inventory across first-party and third-party models: what enters the catalog, how it is grouped by provenance, what it is priced at, and when something is quantised, replaced or retired. - Set the roadmap and the investment case across serving efficiency, the self-serve surface and regional capacity, and make the call when those three compete for the same budget. - Build the commercial motion with GTM from the ground up: self-serve acquisition for the mid-market, a sales-led motion for enterprise, and the partnerships that monetise capacity we would otherwise leave idle. - Stay close to the market: talk to customers and developers about integration friction and unmet needs, track competitor pricing, catalogs and launches, and follow where models and hardware are heading, then turn that into a clear view of where we should place our bets and what it would take to win. - Define the metrics that tell us whether this is a business, including revenue, margin, win rate, time to first token and self-serve share, and lead the work that moves them. - Partner with engineering, research, legal, finance, technical writing and developer relations to ship the platform and clear the licensing, pricing and capacity decisions behind it. - Represent the business to the executive team with a recommendation, the evidence behind it and the trade-off it implies. REQUIREMENTS - 10+ years of product management experience, including meaningful time owning a B2B infrastructure or platform product at the scope of a business rather than a feature area. - Experience operating in a GM-like capacity: you have carried a revenue line or a P&L, set pricing, and been held to margin as well as to shipping. - Background at a neocloud such as Together AI, Baseten or Fireworks, or at a hyperscaler such as AWS, Azure, OCI or Google Cloud, with a working view of how inference capacity is priced, packaged and sold, and a point of view on where the segment goes next. - A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features. - Entrepreneurial, with experience taking a new product to market and building the commercial motion around it rather than inheriting one. - Experience with deployment models such as multi-tenant and dedicated infrastructure, and ownership across the full product lifecycle, from problem definition through launch, iteration and eventual migration or deprecation. - Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions. - Able to set direction and earn alignment across engineering, infrastructure, finance, legal and GTM without formal authority, and to put a clear recommendation and its trade-offs in front of an executive audience. NICE-TO-HAVES - Experience owning a model serving or inference platform, including self-serve infrastructure and metered inference offerings. - Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products, particularly in the inference-as-a-service context. - Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns for inference workloads. - Experience with GPU infrastructure and cloud deployment models across both neocloud and hyperscaler environments. 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.