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Location: Almere, Netherlands Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Belgrade, Serbia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Skopje, North Macedonia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Southampton, United Kingdom Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Москва Мы создаем прототипы и MVP в AI-направлениях: агентные мультимодальные системы, персональные ассистенты, корпоративные знания. Наша цель — находить практические сценарии, проверять их ценность и доводить до работающих решений для бизнеса. В команде ценятся инженерная самостоятельность, скорость экспериментов, осмысленный выбор технологий и умение работать как с прототипами, так и с production-развитием. Мы ищем Agentic Engineer, который будет разрабатывать AI-агентов общего назначения — от прототипов до MVP и пилотов в реальных бизнес-сценариях. Важна способность не просто "заставить демо работать", а сделать решение понятным, переиспользуемым и готовым к развитию. Обязанности * разрабатывать прототипы и MVP агентных систем на базе OpenClaw, Hermes или аналогичных фреймворков * проектировать агентные сценарии: планирование, использование инструментов, управление контекстом и обработка ошибок * улучшать архитектуру краткосрочной и долгосрочной памяти агента * инженерия агентской памяти для эффективной работы агента * разрабатывать skills и изолированные инструменты (MCP) * тестирование и оценка trade-off (модель/производительность/качество/ стабильность). Требования * опыт работы с LLM API (tool calling, structured output, управление контекстом) * практический опыт разработки AI-агентов или сложных LLM-сценариев * опыт работы с векторными базами, Docker compose, инфраструктурными компонентами вокруг backend * понимание observability LLM-приложений (трассировки, логирование, метрики стоимости и задержек) * умение прототипировать без потери инженерной дисциплины. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы после испытательного срока * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * 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.

Design and deploy autonomous and multi-agent orchestration workflows capable of executing complex, multi-step enterprise processes. Implement structured tool-use frameworks and integrate external APIs and services using protocols such as Model Context Protocol (MCP).

Parloa is looking for a Manager of Agent Architecture to lead Agent Architects, deliver AI Agent implementations, and maintain delivery quality.

Задачи: — Управление клиентскими аккаунтами в сфере цифрового маркетинга — Разработка и реализация цифровой стратегии с использованием AI-технологий — Автоматизация задач и управление рабочими процессами с помощью AI-агентов Требования: — Опыт в цифровом маркетинге, управлении аккаунтами или работе в маркетинговом агентстве — Практический опыт работы с AI-инструментами и платформами агентов — Знание SEO, платной рекламы и оценки эффективности цифрового маркетинга — Отличные коммуникативные, организационные и аналитические навыки — Свободное владение английским языком (устным и письменным) — Преимущество: опыт использования AI-агентов для автоматизации задач и повышения эффективности Условия: — Полностью удалённая работа из Кипра или Греции — Зарплата 2000–2200 евро брутто в месяц Работа в инновационном агентстве, использующем передовые AI-технологии для маркетинга.

Задачи: — Работа с лидами и конвертация их в активных трейдеров (Conversion Agent) — Общение с потенциальными клиентами и построение отношений — Управление существующими клиентскими счетами и поддержание отношений (Retention Agent) — Стимулирование постоянной торговой активности через регулярное общение Требования: — Опыт работы в продажах на рынке Forex или в удержании клиентов — Свободное владение испанским языком (родной или свободный уровень) — Хорошие коммуникативные и переговорные навыки — Способность работать самостоятельно и в команде Условия: — Работа в офисе в Лимассоле, Кипр — Базовая зарплата 2500 евро в месяц плюс комиссия, зависящая от результатов Отклик: — Для получения подробностей и подачи заявки отправьте сообщение в Telegram @Milan_N33DED

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About the role: At Humanoid, we are working from a simple hypothesis that AI is rapidly transforming engineering. The bottlenecks are shifting from writing code to how efficiently AI-authored changes can be verified. We’re looking for an Engineering Lead to own developer productivity in the age of AI and agents. You’ll build the platform that lets our engineers move faster with coding agents while protecting our code, infrastructure, and robots. You’ll give developers and agents the environments, context, and tools to work effectively, and build verification and security into the path from task to healthy deployment. This means rethinking how engineering work gets done, not just adding agents to existing processes, and establishing the access controls, isolation, and monitoring needed to guard against mistakes, misuse, and new security threats. This is a hands-on leadership role and the keystone hire for a new developer productivity team. You’ll build the critical systems yourself, recruit and lead engineers, and work across Developer Tools, Security, Safety, Simulation, and robot software. Success means increasing engineering output while reducing cost and human review per accepted change, without increasing defects or safety risk. What you'll do: - Own the path from an agent task to a healthy deployed change, including acceptance criteria, execution, verification, merge, rollout, monitoring, and rollback. - Build secure, reproducible agent runtimes with task-scoped identity, short-lived credentials, bounded access, cost controls, and re-playable execution records. Proactively detect unauthorized agent activity across our compute clusters, whether internal or external. - Build the interfaces developers use to launch, monitor, and control agents, alongside tooling for agents to collaborate through shared memory, coordinated work, and appropriately authorized access to company resources. - Reduce the tokens and retries required for accepted work through better context assembly, model and tool routing, caching, task decomposition, and feedback. - Give agents fast access to builds, tests, simulation, replay, and hardware-in-the-loop, with acceptance criteria they cannot alter. - Work with engineering teams to make the codebase easier to navigate and verify through clear interfaces, strong invariants, reproducible environments, fast local checks, and well-documented implementation paths. - Recruit and lead the team while remaining hands-on. Measure success through cost per accepted change, human review time, escaped defects, and time from push to healthy on the robot. What we're looking for: - Experience building and operating developer tooling or infrastructure used across engineering teams, such as build systems, CI/CD, test infrastructure, deployment pipelines, or internal platforms. - Strong software engineering skills and comfort working in large codebases or monorepos. - Practical experience with Linux, containers, and cloud infrastructure, plus working knowledge of Kubernetes. - Hands-on experience using and integrating coding agents into real engineering workflows. You understand how context, tools, and evals affect reliability, latency, and cost, and can talk concretely about what worked and what didn’t. - Sound security judgment around workload isolation, identity, permissions, and credentials. You can design appropriate boundaries for agents accessing code, infrastructure, and company resources. - Experience building reliable automated tests or verification systems and diagnosing failures across code, tooling, and infrastructure. You have good judgment about what automated checks establish and where human review still matters. - Experience leading engineers while remaining hands-on. You can set technical direction, recruit a strong team, and turn an ambitious goal into systems that engineers use and trust. What We Offer: - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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! ABOUT THE ROLE. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. WHAT YOU’LL WORK ON. - Secure execution environments for agent-generated code - Identity, authentication, and trust boundaries for agents - Model routing and orchestration across different model types and environments - Rate limiting, quotas, and resource management for agent workflows - State management, memory, and filesystem abstractions for agents. IN THIS ROLE YOU WILL: - Turn emerging ML research ideas into production-ready infrastructure - Build core platform capabilities for execution, storage, and state management - Prototype and evaluate new technologies, then help decide what should move into production - Partner with research teams to shape infrastructure based on what future agent systems will need YOU MAY BE A GOOD FIT IF YOU HAVE: - Experience building production ML infrastructure with strong systems fundamentals - Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks - Familiarity with model routing and LLM provider frameworks across different model types and environments - Experience with scalable, fault-tolerant distributed systems and Kubernetes - A track record of moving quickly on prototypes and making good decisions about productionization. BONUS - Experience across on-prem, private cloud, and public cloud environments - Familiarity with storage systems, embedded databases, or filesystem abstractions - Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes - Interest in emerging ML infrastructure, edge inference, or browser-native models - Open-source contributions to LLM or agent infrastructure projects - Experience with identity, workload auth, or capability-based security systems. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench https://sierra.ai/blog/benchmarking-ai-agents) - Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? - Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC https://sierra.ai/blog/agent-development-life-cycle) - Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Build the core systems that power agents. You’ll work on the Agent SDK — the orchestration engine, runtime, and primitives that define how agents reason, take actions, and interact with users and systems. - Design the agentic loop. What primitives do we need to build agents that are steerable and verifiable, while still conversational and adaptive? You’ll help define how agents operate in real-world environments. - Improve retrieval and grounding. You’ll build systems that ensure agents provide accurate, trustworthy responses by effectively retrieving and using knowledge. - Build evaluation systems. You’ll design frameworks that allow us and our customers to measure and improve agent quality over time. WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Strong software engineering fundamentals and experience building production systems. - Motivation and high-agency to drive outcomes in a high-autonomy culture. - 4+ years hands-on experience building production products and systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER - Experience building AI-powered systems or agent frameworks. - Experience with retrieval, evaluation systems, or LLM-based applications. - Experience building developer platforms or SDKs. - Experience with Go and Typescript. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are hiring a Technical Program Manager to lead high priority safety and security programs which advance defense in depth for agents, which we have written about publicly . You will be the lead TPM coordinating work across teams to strengthen how we develop and deploy agents safely and securely, and to bring what we build internally to customers and partners so everyone has the tools to safely and securely use Claude. You will be responsible for leading meetings with executives and technical leads, maintaining complex project plans, identifying and addressing risks, developing metrics, and communicating to the company and our customers about this work. Responsibilities: Maintain the roadmap - Maintain and extend the existing roadmap for all work contributing to this effort across the company and implement approaches to ensure accuracy and relevance amidst a fast operational tempo. Turn program goals into measurable exit criteria at each phase of the work - To do this well you’ll need to be responsive to new developments in capabilities and the threat landscape, both of which are evolving fast. Maintain key metrics and dashboards. Run the operating rhythm - Chair the leads meetings, working group meetings, design reviews, and executive check-ins. Record decisions and actions, disseminate sitreps quickly and regularly, and follow up until open issues close. Lead executive and contributor communication - Drive conversations, write regular reports, contribute to design documents, and produce decisional documents as needed. Say plainly what is on track, what is not, and where help is needed. Maintain the risk register - Track risks, exceptions, and risk acceptances in one place and bring hard calls to the right decision maker. Drive company-wide communications - Partner with internal communications on progress updates and on rollouts that change how employees work with Claude every day. Lead through other TPMs - Coordinate subject matter specific TPMs and engineering managers who do not report to you. Set shared standards, spot coverage gaps, and step in to augment capacity where needed. Take coordination load off technical leaders - Find owners for cross-team problems, frame tradeoffs across Security, Safeguards, Research, Privacy, Legal, and Product, manage staffing tasks, and organize exercises that test our controls. Maintain industry context - Track relevant incidents, capabilities shifts, and research across frontier labs, and understand the key risks they reveal. Bring those lessons into our threat model, roadmap, and risk register. You may be a good fit if you: Have led company-wide technical programs, especially a company-wide security program, with multiple workstreams, executive sponsors, and other program managers rolling up to you. Have a strong background in at least one of the program's domains: agent or infrastructure security, ML classifiers and monitoring, evaluations, inference infrastructure, protecting an organization’s most sensitive data, or shipping security controls to customers. You know the terminology and can ramp up on the rest quickly. Have worked closely with ML research teams and understand how models are trained and evaluated. Work independently. You set direction without waiting for instructions and know when to make decisions and when to escalate. Can command a room and hold senior engineers, researchers, and executives accountable without formal authority. Write clearly and fast for any audience, from a one-page executive brief to a company-wide announcement. Use AI tools like Claude to automate tracking, reporting, and follow-up. Care about AI safety and want to help keep powerful systems under human oversight. Have 10+ years of experience in one of the aforementioned areas. Deadline to apply: None, applications will be received on a rolling basis. Annual Salary: TBD with Recruiting. 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: $365,000 — $435,000 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. 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.

• Grow and lead our network of local payment agents. • Be the go-to person for Arabic-speaking teams.

• Спроектировать и собрать автономного ИИ-агента под конкретную бизнес-задачу. • Настроить агенту вызов функций (API, базы данных, CRM), чтобы он умел выполнять действия, а не просто общаться.

As part of a diverse and multinational team, you will be responsible for expanding the company's client base and driving revenue generation, while identifying opportunities for business development and networking. - experience in forex sales only.

Legion is looking for a Principal Product Manager to define, prototype, evaluate, and deploy enterprise AI agents for workforce management.