AI-инженер (LLM, агенты, AI product) вакансии - гибрид

Задачи: — разработка и внедрение LLM моделей для решения NLU задач бизнеса (SFT, RAG (Retrieval Augmented Generation), Agents, Summarization, Text Ranking, Text Matching, Language Modeling) — дообучение LLM моделей — разработка подходов и процессов разметки данных для оценки качества работы LLM — формирование и работа с ML пайплайнами: работа с данными, обучение/дообучение NLP моделей, оценка качества решений, поддержка/автоматизация решений — оптимизация работы моделей для промышленного контура на CPU/GPU — работа с командой бизнес-представителей, DS-разработчиками — организация проверки и генерация гипотез для решения технических и бизнес-задач. Требования: — опыт разработки на python, numpy, sklearn, pandas + библиотеки обработки текстовых данных — опыт работы с Pytorch для построения DL текстовых моделей — опыт работы с библиотеками LangChain/LangGraph — опыт практической работы с LLM через API — отличные теоретические знания классического и нейросетевого NLP, в тч LLM — опыт дообучения классических трансформеров и LLM — практический опыт, эксперименты, внедрение в ПРОД LLM решений — опыт prompt-engineering Будет плюсом: — работа с инструментами Hadoop (HDFS, Hive), Spark — опыт постановки и проведения a/b тестов — опыт работы с распределенным обучением, глубокое знание GPU архитектуры. Условия: — комфортный современный офис рядом с м. Кутузовская — возможен гибридный формат работы — ежегодный пересмотр зарплаты, квартальная и 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.

Location: United States; Canada Workplace: Hybrid 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 Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. KEY RESPONSIBILITIES As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: - Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment - Develop agent orchestration systems that help security practitioners automate repetitive security tasks - Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data - Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements - Ship production-ready agent capabilities that run efficiently in resource-constrained environments - Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fall short - Conduct security testing of both the agents you build and the platform that runs them. QUALIFICATIONS - 5+ years of software engineering experience with a track record of shipping user-facing security features - Strong Python development skills with significant production experience - Experience building or working with autonomous systems, AI agents, or intelligent automation - Solid understanding of security principles including session management, authentication, authorization, and secure coding practices - Ability to think about security at multiple layers: application security, agent behavior security, and infrastructure security - Comfortable working across the full stack and diving into unfamiliar codebases to understand and fix issues - Thrive in fast-paced environments where you can adapt to evolving priorities - Excited about the intersection of AI/ML and security engineering. WORKING LOCATION This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. 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: Prague, Czech Republic Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint. What You Will Do Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams. Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets. Advise the business on responsible AI governance and internal AI use policies. Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets. Collaborate on internal audits at Aleph Group level in the field of data protection. Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics. Participate in data protection, privacy, and AI-related legal projects. Promote a strong culture of data protection and responsible AI compliance across Aleph. Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation. Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors. Organize and maintain data protection records and related documentation at a global level. Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance. Carry out Data Protection Impact Assessments (DPIAs) together with the wider team. Take on other ad hoc legal and compliance-related tasks as needed. What We Are Looking For A degree in Law. Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role. Solid expertise in data privacy laws and practices, including a deep understanding of GDPR. Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus. Working knowledge of AI-related legal and regulatory frameworks more broadly. Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint. Proficient English communication skills, written and verbal — this is a must. A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools. Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus. Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Why Join Aleph Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA. Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching. Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles. Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Bucharest, Romania Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint. What You Will Do Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams. Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets. Advise the business on responsible AI governance and internal AI use policies. Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets. Collaborate on internal audits at Aleph Group level in the field of data protection. Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics. Participate in data protection, privacy, and AI-related legal projects. Promote a strong culture of data protection and responsible AI compliance across Aleph. Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation. Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors. Organize and maintain data protection records and related documentation at a global level. Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance. Carry out Data Protection Impact Assessments (DPIAs) together with the wider team. Take on other ad hoc legal and compliance-related tasks as needed. What We Are Looking For A degree in Law. Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role. Solid expertise in data privacy laws and practices, including a deep understanding of GDPR. Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus. Working knowledge of AI-related legal and regulatory frameworks more broadly. Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint. Proficient English communication skills, written and verbal — this is a must. A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools. Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus. Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Why Join Aleph Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA. Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching. Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles. Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is RON 184,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role. In addition to base salary, this role includes a variable component, paid annually. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Warsaw, Poland Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint. What You Will Do Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams. Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets. Advise the business on responsible AI governance and internal AI use policies. Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets. Collaborate on internal audits at Aleph Group level in the field of data protection. Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics. Participate in data protection, privacy, and AI-related legal projects. Promote a strong culture of data protection and responsible AI compliance across Aleph. Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation. Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors. Organize and maintain data protection records and related documentation at a global level. Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance. Carry out Data Protection Impact Assessments (DPIAs) together with the wider team. Take on other ad hoc legal and compliance-related tasks as needed. What We Are Looking For A degree in Law. Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role. Solid expertise in data privacy laws and practices, including a deep understanding of GDPR. Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus. Working knowledge of AI-related legal and regulatory frameworks more broadly. Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint. Proficient English communication skills, written and verbal — this is a must. A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools. Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus. Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Why Join Aleph Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA. Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching. Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles. Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is PLN 168,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role. In addition to base salary, this role includes a variable component, paid annually. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Athens, Greece; Kifissia, Greece Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint. What You Will Do Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams. Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets. Advise the business on responsible AI governance and internal AI use policies. Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets. Collaborate on internal audits at Aleph Group level in the field of data protection. Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics. Participate in data protection, privacy, and AI-related legal projects. Promote a strong culture of data protection and responsible AI compliance across Aleph. Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation. Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors. Organize and maintain data protection records and related documentation at a global level. Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance. Carry out Data Protection Impact Assessments (DPIAs) together with the wider team. Take on other ad hoc legal and compliance-related tasks as needed. What We Are Looking For A degree in Law. Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role. Solid expertise in data privacy laws and practices, including a deep understanding of GDPR. Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus. Working knowledge of AI-related legal and regulatory frameworks more broadly. Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint. Proficient English communication skills, written and verbal — this is a must. A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools. Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus. Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Why Join Aleph Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA. Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching. Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles. Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is EUR 37,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role. In addition to base salary, this role includes a variable component, paid annually. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As an AI Solutions Strategist, you will sit at the intersection of customers, AI delivery, and Ramp’s core product teams. You will partner with enterprise/strategic customers to deeply understand their finance workflows—especially corporate finance and controllership priorities like close, controls, and spend governance—identify high-impact opportunities for AI and automation, and translate those needs into clear problem statements, solution designs, and actionable feedback for Ramp’s Product, Engineering, and Go-to-Market teams. This role is for someone who can listen carefully, structure ambiguity, and turn on-the-ground learnings into scalable solutions. This role required high proactivity and bias to action.   WHAT YOU'LL DO - Discover and diagnose customer needs. Run stakeholder interviews and workflow deep dives with Finance, Procurement, AP, and IT teams. Map end-to-end processes and identify the underlying drivers behind pain points — risk, cost, cycle time, compliance, exception volume, and operational complexity. - Translate needs into solution requirements. Turn qualitative input into crisp artifacts: problem statements, success metrics, constraints, acceptance criteria, and deployment plans. Balance speed, safety, and scalability across MVPs, iterations, and broader rollouts. - Partner with technical teams to implement AI workflows. Work closely with Ramp engineers and AI builders to design and ship solutions that meet real customer workflows. Specify data inputs, integrations, governance needs, policy rules, auditability requirements, and edge cases. - Drive feedback loops into Ramp's product. Synthesize learnings across customers into reusable patterns and product opportunities. Write high-signal briefs for Product and Engineering that explain what customers need, why it matters, and what should be built next. - Communicate impact and guide executives. Present status, outcomes, and recommendations to customer operators, executives, and internal stakeholders. Quantify impact through time saved, error reduction, improved compliance, faster close, and other business outcomes.   WHAT YOU NEED - 4+ years of relevant experience - Strong customer empathy and the ability to earn trust quickly with senior stakeholders. - Excellent problem framing: you can turn messy workflows into clear systems and priorities. - Comfort operating in ambiguity and iterating quickly while keeping quality high. - Ability to communicate clearly in writing (briefs, requirements, postmortems) and verbally (workshops, exec readouts). - A builder mindset: you like shipping, learning, and improving the system. - Experience in solutions, implementation, product strategy, consulting, or technical program management. - Strong grounding in corporate finance / controllership workflows, including accounting close, spend governance/controls, budgeting, procurement, and AP operations. - Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls. - Ability to partner with finance system owners/admins to drive change management, testing (UAT), and successful rollouts. - Familiarity with finance operations workflows (AP, procurement, expenses, cards, accounting close). - Exposure to AI-enabled products, automation, or applied ML (you do not need to be an ML engineer). - Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality).   WORKING STYLE We collaborate best when we’re close to the work and close to each other. This role is hybrid in New York, with time in-office to partner tightly with product and engineering teams. Importantly, this role required spending time with customers to understand real workflows, so travel and flexibility are critical to success. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Ottawa; Canada; Vancouver; Toronto Workplace: Hybrid 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 NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors. We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: Ottawa (proximity to government customers), 20-40% travel anticipated. Security Clearance: Eligibility for Active Top Secret clearance is needed for this position, candidates eligible and willing to obtain clearance will also be considered. More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html. In this role, you will: - Build and ship features for North, our AI workspace platform - Develop autonomous agents that talk to sensitive enterprise data - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Work across the entire product lifecycle from conceptualization through production - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout You may be a good fit if: - You have experience with and enjoy working directly with customers - You have shipped (lots of) Python in production - You have built and deployed highly performant client-side or server-side RAG/agentic applications - You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base - You excel in fast-paced environments and can execute while priorities and objectives are a moving target 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: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building a new AI business, and you’ll be one of its first technical sellers. Your job is to turn technically complex AI products into closed revenue. You’ll sell a growing portfolio spanning AI-powered applications and agents for finance teams, as well as infrastructure that helps companies deploy and manage AI with greater control, security, and cost efficiency. This is a product-focused, quota-carrying technical sales role. You’ll help customers evaluate and purchase Ramp’s AI products, translating complex capabilities into clear business value and guiding opportunities from discovery through close. This is a high-velocity commercial role, not a traditional pre-sales position where success ends with a great demo. You’ll be accountable for turning technical evaluations into commercial wins from start to finish. You’ll lead discovery, shape deal strategy, build executive-level business cases, deliver tailored demonstrations, navigate technical and commercial objections, and create urgency around a clear path to purchase. You’ll move comfortably between technical and executive conversations. In one meeting, you may discuss model routing, APIs, integrations, data governance, and security with Engineering and IT teams. In the next, you may help Finance and executive leaders understand the ROI, total cost of ownership, and operational impact of adopting Ramp’s AI products. You’ll join at a formative moment for Ramp’s AI business. As one of the first dedicated sellers for these products, you’ll help identify the strongest use cases, refine how we position and sell the portfolio, influence the customer experience, and build the playbook the broader team will eventually scale. You’ll own the full customer lifecycle from discovery and evaluation through close, implementation, and adoption, helping customers translate their purchase into a successful deployment. This role combines Ramp’s resources and customer reach with the ownership, speed, and ambiguity of an early-stage team. WHAT YOU’LL DO - Carry a revenue quota and own the progression of AI product opportunities from initial discovery through purchase, ensuring business value is clear, technical requirements are validated, and obstacles to a decision are resolved. - Lead discovery with business and technical buyers to understand their goals, workflows, challenges, decision criteria, existing systems, and AI strategy. - Translate Ramp’s AI applications and infrastructure into compelling solution narratives tied to measurable business outcomes. - Build ROI and total cost of ownership analyses that quantify the value of Ramp’s AI products and create executive-level justification for investment. - Help customers identify high-value use cases, set realistic expectations, and establish a credible path from evaluation to production. - Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria that establish value and build confidence in a purchase decision. - Build relationships with champions and decision-makers across Engineering, IT, Security, Finance, Operations, Procurement, and executive leadership. - Navigate questions related to APIs, integrations, model capabilities and limitations, data flows, architecture, privacy, security, governance, implementation, and tradeoffs among quality, cost, latency, and control. - Apply strong commercial judgment to qualify opportunities, create urgency, address objections, identify risk, and keep customers moving toward a decision. - Lead customers through implementation after purchase, including deployment planning, stakeholder alignment, workflow design, technical coordination, enablement, and adoption. - Partner with Account Executives and collaborate with Product, Engineering, Security, Marketing, and post-sales teams to remove deployment blockers and deliver a strong customer experience from evaluation through production. - Bring structured customer and market feedback to internal teams to improve the products, positioning, sales execution, and customer experience. - Turn early customer conversations into repeatable messaging, demonstrations, qualification criteria, value stories, and sales plays as we build this go-to-market motion from the ground up. WHAT YOU’LL BRING - 5+ years of experience in Solutions Engineering, Solutions Consulting, technical sales, Solutions Architecture, enterprise software sales, or a related customer-facing role. - Direct quota-carrying or deal-closing ownership of the pre-sale cycle—not only experience delivering demonstrations or supporting post-sale implementation. - A track record of independently influencing and winning complex B2B sales opportunities with clear revenue accountability. - Strong discovery and value-selling skills, with the ability to connect technical capabilities to measurable business outcomes. - Demonstrated ability to build executive-level business cases, including ROI and total cost of ownership analyses; this capability will be central to success in the role. - Commercial instincts and comfort taking meaningful ownership of deal strategy, momentum, and results. - Technical fluency across modern AI systems, including applications and agents, model capabilities and limitations, APIs, integrations, data flows, security, governance, and tradeoffs among quality, cost, latency, and control. - Excellent executive communication and presentation skills, including the ability to make complex concepts clear and relevant to different audiences. - The ability to explain probabilistic, rapidly evolving AI technology with credibility and precision without overpromising what the product can do. - Experience building champions and navigating multi-threaded buying groups with competing priorities. - High ownership, curiosity, sound judgment, and comfort operating in a fast-moving environment where you’ll build structure as you go rather than inherit it. - Energy for zero-to-one work and the opportunity to build a sales motion rather than simply inherit one. NICE TO HAVE - Experience selling AI infrastructure, AI applications or agents, developer tools, data platforms, security products, finance technology, or workflow automation software. - Experience helping launch a new product or develop an early go-to-market motion. - Familiarity with AI gateways, model routing, usage controls, data governance, or enterprise AI deployment. - Experience selling to developers, IT, Security, Finance, Operations, Procurement, or executive stakeholders. - Experience creating reusable sales assets, demonstrations, value frameworks, or enablement programs. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY Workplace: Hybrid We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US and London— we also have offices in NYC, San Francisco, Seattle, and London We are looking for a highly-motivated senior IC who will work with some of Runway’s biggest and most strategic partners. You will be central to our partners’ success in adopting Runway to transform the ways they create content. Success in this role will require a mix of technical fluency, strategic thinking, and hands-on execution. WHAT YOU’LL DO - Own deep, trusted C-suite level relationships with Runway's most strategic partners (from Hollywood studios to Fortune 100 enterprises) ensuring they're not just customers, but long-term partners at the frontier of AI-driven creativity and innovation - Be in the room where it happens: collaborating directly with world-class creative teams at the biggest Hollywood studios, brands, and F100 companies to co-create Emmy award-winning shows, Oscar-winning movies, Super Bowl commercials, and cultural moments that define a generation - Operate as a strategic thought partner internally: codifying the use cases we know work today while pioneering the ones that don't exist yet, and translating both into initiatives that shape Runway's product strategy and industry positioning - Get embedded within accounts to learn and understand their (content) pain points and challenges today, then propose discrete ways in which Runway can solve those challenges - Identify and prototype specific and highly targeted new markets and new opportunities for our products - Develop a deep, functional and technical understanding of our products and future roadmap - Be hands-on in quickly onboarding new partners to our platform and/or API while also supporting their long-term expansion and technical understanding of how to leverage Runway - Provide high-impact feedback to Product, Engineering, and Creative which can in turn improve the product experience for our partners - Analyze, track, and report on the performance of existing partnerships leveraging BI tools and data WHAT YOU’LL NEED - 5+ years of overall experience in customer-facing roles, engaging C-level technical audiences with complex global organizations ideally within tech, finance, or consulting - Have led complex implementations of Generative AI/traditional ML solutions and can drive measurable business outcomes - Ability to work in a fast-paced, dynamic environment and manage multiple priorities with expansive ownership and ruthlessly prioritize - A strong bias towards action and belief that no task is too small for you - Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem - Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders - High technical aptitude for understanding complex technologies, tools, systems, and issues - Mindset to think creatively and think beyond past checklists and playbooks - Highly resourceful with the ability to create structure and work autonomously amidst ambiguity - Nice to have but not required: experience with data tooling and BI systems (SQL, BigQuery, Retool, etc) - New York, SF, or London-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster. You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our team: - Baseten Training: an autoresearch substrate https://www.baseten.co/blog/baseten-training-an-autoresearch-substrate/ - Introducing Baseten Loops https://www.baseten.co/blog/introducing-the-baseten-loops-sdk/ - Harnesses are everything. Here's how to optimize yours. https://www.baseten.co/blog/harnesses-are-everything-heres-how-to-optimize-yours/ - Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents Code on Baseten https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten/ RESPONSIBILITIES - Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA. - Design the harnesses, execution flows, and guardrails that make AI systems reliable in production. - Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams. - Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features. - Define and instrument evals so you know whether a change actually improved output quality. - Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end. - Use Baseten's own training and inference products yourself to develop intuition around customer workflows. - Identify where AI can replace manual process across the company and build the thing rather than write the proposal. - Fix bugs and resolve customer issues with urgency. REQUIREMENTS - 5+ years of experience building and shipping software applications. - Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on. - Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well. - Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on. - Proficiency in Python, with fluency in at least one other language. - Comfort working autonomously in a fast-moving environment with limited structure. - Ability to move between customer-facing product work and internal tooling and automation. - Strong communication skills, with the ability to bridge technical depth and business needs. NICE TO HAVE - Experience as a founding engineer or early employee at a startup. - Experience building evals, agent observability, or tooling for non-deterministic systems. - Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP). - Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes. - Frontend fluency. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Remote; Toronto; New York; Montreal Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES - Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. - Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion. - Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers - Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs. - Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution. - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - 2+ years of professional work experience in a fast-paced, high-growth environment. - Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python. - Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment. - Strong communication skills, particularly on complex technical topics. - Experience in building or optimizing AI/ML projects is highly valued. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

В команде Security Engineering компании Kiwi.com создаются интеллектуальные системы, которые интегрируют безопасность на всех уровнях продукта и инфраструктуры, включая Trust and Resilience, Security Engineering и AI и Automation. Agentic AI обеспечивает беспрепятственную безопасность для инженеров, устраняя шум в телеметрии, выделяя важные действия и внедряя агентов для интеграции контроля безопасности в рабочие процессы разработки. Задачи: — Проектировать агентные системы для автономной обработки, устранения и разрешения первичных находок безопасности, включая фишинг, аномалии поведения пользователей и рискованные состояния устройств. — Создавать, внедрять и обеспечивать соблюдение базовых стандартов безопасности конечных точек на macOS, Windows, iOS и Android с использованием MDM и инструментов защиты конечных точек. — Отвечать за слой интеллекта, логику обработки и обратные связи для AI-агентов безопасности, позволяя им учиться на телеметрии обнаружений и интеллектуально эскалировать сложные случаи. — Автоматизировать административно-тяжелые процессы безопасности, такие как обновления политик, патчинг ПО, проверки соответствия, реагирование на инциденты и вывод устройств из эксплуатации. — Строить партнерства и координировать автоматизации с HR, финансами, юридическим отделом и People Ops для оптимизации оценки рисков поставщиков, контроля доступа и ответов на опросники по соответствию. — Повышать эффективность и прозрачность работы команды безопасности, участвовать в планировании спринтов и отвечать за внутренний инструмент или небольшой платформенный проект. — Мониторить метрики безопасности конечных точек, постоянно улучшая стандарты безопасности для сокращения времени устранения, повышения соответствия политикам и повышения осведомленности пользователей. Требования: — Глубокие знания безопасности конечных точек на платформах Windows, macOS, iOS и Android. — Практический опыт работы с платформами управления мобильными устройствами (Intune, Jamf или аналогичные) и инструментами защиты конечных точек (SentinelOne, CrowdStrike или эквиваленты). — Опыт создания автоматизаций и скриптов на Python, Bash, PowerShell для развертывания и управления конфигурациями безопасности в масштабе. — Понимание управления человеческими рисками: фишинг, социальная инженерия, анализ поведения пользователей и повышение осведомленности о безопасности. — Знакомство со стандартами безопасности и методами укрепления (CIS Benchmarks, рекомендации Apple Security, руководства NIST). — Интерес к agentic AI и интеллектуальной автоматизации. — Готовность участвовать в реагировании на инциденты и дежурствах для расследования живых событий безопасности. — Хорошие письменные и устные навыки английского языка для объяснения концепций безопасности нетехнической аудитории. Условия: — Гибридный и гибкий режим работы. — Современный офис в центре Барселоны (Passeig de Gracia) с прекрасным видом и удобствами. — Ежемесячное пособие в размере 200 евро через платформу Cobee, позволяющую использовать льготы и гибкую компенсацию. — Гибкий график работы, 30 оплачиваемых отпускных и больничных дней. — Годовой финансовый бонус на основе результатов компании и индивидуальной работы. — Ваучеры на перелеты в честь годовщин работы в Kiwi. — Пакет по релокации, включая поддержку визы. — В офисах разрешено присутствие собак.

Обязанности: • Участвовать в разработке ИИ-агента • Взаимодействовать в составе команды со специалистами по анализу данных и специалистами по развитию инфраструктуры • Проводить функциональное тестирование • Работать в Jira и Confluence Требования: • Понимание общих принципов реляционных баз данных (таблица данных, первичный и внешний ключи, индексы, связи между таблицами) • Продвинутое знание MS Excel, SQL, Python • Наличие представления об основных банковских продуктах • Наличие интереса к искусственному интеллекту и желание использовать его в личных и стратегических задачах • Будет преимуществом базовое знание системы оркестрации процессов обработки данных Apache Airflow и базовое знание инструментов визуализации Apache Superset

Задачи: — Разработка и внедрение AI-компонентов для повышения точности транзакций, автоматизации налоговой категоризации и поддержки рабочих процессов клиентов. — Руководство кросс-функциональными проектами от прототипа до развертывания, обеспечение надежности, низкой задержки и соблюдения требований конфиденциальности. — Разработка функций AI, автоматизирующих бухгалтерские и налоговые задачи. — Проектирование агентов на базе больших языковых моделей и конвейеров для структурированных финансовых данных и правил. — Внедрение мониторинга, тестирования и наблюдаемости поведения моделей и качества данных. — Сотрудничество с экспертами в области финансов для перевода нормативных правил в надежную AI-логику. — Оптимизация стоимости вывода, задержки и масштабируемости в облачных средах. — Наставничество инженеров и участие в стандартах и лучших практиках AI-инжиниринга. — Обеспечение безопасной обработки данных и конфиденциального проектирования моделей для финансовых данных. — Итеративное улучшение с использованием версионирования и процедур отката. Требования: — Минимум 7 лет опыта в разработке ПО, из них не менее 3 лет в производственных AI-системах. — Опыт создания решений с большими языковыми моделями и агентскими фреймворками в продакшене. — Глубокое знание Python и опыт работы с системами обслуживания моделей (Docker, Kubernetes, TorchServe, Ray или аналоги). — Опыт интеграции с банковскими и налоговыми API и работы с конфиденциальными финансовыми данными. — Навыки проектирования стратегий мониторинга и тестирования ML-моделей в продакшене. — Понимание prompt engineering, парсинга структурированного вывода и методов снижения ошибок цепочки рассуждений. — Отличные коммуникативные навыки и способность руководить кросс-функциональной командой. — Степень бакалавра в области компьютерных наук, инженерии или эквивалентный опыт; предпочтительно наличие продвинутой степени. Условия: — Конкурентная зарплата с бонусами, зависящими от результатов. — Программа акций или долгосрочных стимулов, связанная с ростом компании. — Медицинская и стоматологическая страховка. — Гибридный формат работы с офисом в Берлине и возможностью удалённой работы. — Щедрый отпуск по уходу за ребёнком и поддержка семейного благополучия. — Бюджет на обучение и оплачиваемое время для профессионального развития и конференций. — Техническое пособие на оборудование для домашнего офиса и облачные кредиты для экспериментов. — Поддержка релокации для международных кандидатов, присоединяющихся к офису в Берлине.

Задачи: - Разрабатывать отказоустойчивые масштабируемые высоконагруженные микросервисы на Java, настраивать мониторинги и выводить их в прод - Реализовывать инфраструктуру для возможности гибкого конфигурирования ML-экспериментов и рекомендательного пайплайна Требования: - Знаете Java или разрабатывали на любом современном языке и готовы перейти на Java - Знаете алгоритмы и основные структуры данных - Хотите научиться или умеете работать с большими данными и высоконагруженными системами - Любите технически сложные задачи и оптимизировать код

Обязанности: • управлять проектами по разработке агентов: сбирать требования, формулировать метрики качества, согласовывать архитектуру, разрабатывать, проектировать MLOps-пайплайнов • разрабатывать и внедрять AI-агентов на базе LLM (Python, LangChain, LangGraph, GigaChain) • интегрировать решения с core-системами банка (REST, Kafka, PostgreSQL). Требования: • опыт разработки на Python от 3 лет • опыт создания backend приложений и разработки API используя веб-фреймворк FastAPI • опыт работы с PostgreSQL (SQL, индексы, транзакции), SQLAlchemy/asyncpg, Redis • опыт в разработке и проектировании концептуальной и детальной архитектуры ИТ-решений (PoEE, TOGAF), построения MLOps-пайплайнов (Groovy, Jenkins), понимание базовых принципов MLSecOps, LLMOps • опыт создания AI-агентов и их внедрения будет преимуществом. Условия: • гибридный формат работы (3 дня в офисе) • годовой бонус и ежегодный пересмотр • расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи • корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях • офис на Варшавском шоссе д.9 с зонами отдыха и спортзалом • льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.