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Location: New Jersey; New York; Connecticut Workplace: hybrid At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA Why Provectus? Frontier access. Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation. Autonomous . You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack. Craft & growth. Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open source contributions or public writing on applied AI What We Offer: Full time On site visits to client’s facilities and our office in NYC once a week Unlimited Vacation policy Generous health, vision, and dental insurance 401(k) matching plan Base salary $180k to $250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship We’re real: A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.  Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.  Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: Paris, Remote Workplace: remote The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. Our data ecosystem supports hundreds of pipelines, dashboards, and tools, providing the foundation for both day-to-day operations and strategic decision-making. What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities. You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning. Within 1 month, you will: Discover 360Learning, its platform, teams, and culture Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working Understand our data models, ways of working, and self-service analytics strategy Within 3 months, you will: Build reliable, well-documented datasets and KPIs that help teams answer their own business questions Enable teams to access and leverage data through Snowflake MCP, empowering them to answer business questions more independently Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption Within 6 months, you will: Partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency Help teams become more autonomous on Snowflake and BI tools by guiding them toward the right datasets and sources of truth Become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions The Skill Set: Strong SQL skills with the ability to write complex queries and work confidently with data. Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni. Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake. Good working knowledge of Git and version control best practices. Experience with dbt is a strong advantage. Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges. Solid understanding of data modeling and data warehousing principles, with an interest in building reliable, scalable, and efficient data solutions. Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps Comfortable collaborating with non-technical stakeholders, understanding their needs, and communicating technical concepts in a simple way. Fluent English (US/UK) / French fluent Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Senior Data Manager Case study Meeting with our Senior Data Manager and our Senior Data Analyst Clarification Meeting with our 1 Data Engineer and our Senior Data Analyst Culture Fit Meeting with our VP Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

— Design and implement production-grade multi-agent systems, including orchestration, routing, memory, tool execution, and fallback strategies. — Build multimodal AI workflows and integrate multiple model providers.

* Собирать и уточнять требования у руководителей проектов, портфельного офиса и заказчика: что должно быть в реестре, какие своды нужны руководству, кто что имеет право видеть и править. * Превращать требования в чёткие постановки для ИИ-агента и вести разработку через него: модели данных, API, экраны, отчёты, импорты.

Разрабатывать и поддерживать REST API для мобильного приложения и веб-платформы. Работать с базами данных, обработкой и анализом информации.

Ищем продуктового инженера-лидера: вы будете лично разрабатывать на React и TypeScript, руководить инженерной командой и улучшать пользовательский путь. Главный результат вашей работы — рост доли пользователей, получивших полезный результат: расчёт, план или документ.

• Разрабатывать full-stack-функции: от схемы данных и API до интерфейса и деплоя. • Создавать AI-агентов, инструменты ассистентов, retrieval и streaming-системы.

• Build and run the device fleet that posts by code: iPhones first, Android too, real devices and cloud phones. • Publish across Instagram, TikTok, X, Reddit and Threads through platform APIs plus device and browser automation, hundreds of posts a day.

Location: Berlin, Germany About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is looking for a Senior Software Engineer to join our Operations Foundations team. The team sits within the DoorDash Client and AI Development group and is responsible for the foundation that hundreds of engineers across Wolt, DoorDash, and Deliveroo rely on to build internal operations and engineering tools. Our platform hosts 300+ micro-frontends (MFEs) used to operate every part of the business. About the Team Our team is focused on building a scalable, reliable, and high-quality internal tooling platform that supports Wolt, DoorDash, and Deliveroo’s operations and business. The team plays an important role in improving how engineers and non-engineers alike build, test, and ship software across the organization. Our biggest focus is building a software factory: the platform where AI agents take changes from task to merged PR safely and reliably, without lowering the quality bar. We do this through harness engineering: the context, tooling, verification, and evals that let agents work autonomously, built on our foundations in reusable libraries and micro-frontend architecture. It’s an exciting time to join because the team has strong ownership and a broad technical impact. About the Role We’re looking for a Senior Software Engineer who can take ownership of complex technical initiatives across frontend, backend, infra and agentic development domains. In this role, you’ll build scalable, maintainable solutions that support multiple product teams and business areas. Success in this role means becoming a trusted technical owner who consistently delivers reliable solutions and helps the team execute more effectively. Six months into the role, we’d expect you to be independently leading technical initiatives and contributing meaningfully to architecture and delivery planning. This role offers the opportunity to solve challenging engineering problems with visible impact across the business. It’s especially exciting for someone who enjoys combining product engineering with platform thinking, improving developer workflows, and building systems that scale across teams and domains. What You’ll Be Doing Owning the Foundation: The runtime, build, deployment, and developer experience that 300+ MFEs and hundreds of engineers depend on every day. Evolving Our Micro-Frontend Architecture: Improve composition, isolation, and shared dependency strategies so feature teams can move fast. Product and Planning: Independently drive projects from idea to production: breaking down ambiguous problems into clear technical plans, estimating delivery, identifying risks early, and delivering high-quality solutions in a timely manner. Supporting Engineering Excellence: Champion best practices, raise the bar for code quality, and turn lessons learned into platform improvements. Long-Term Thinking: Balance short-term feature unblockers with the long-term health, security, and maintainability of the platform. Software Factory / Harness Engineering: Build the foundations that let AI agents work autonomously on our platform, including agent instructions, reusable skills, sandboxed environments, tool integrations, guardrails, evals, and the automated checks that make agent-authored changes safe to ship. AI Fluency: Work agent-first in your own day-to-day: delegate implementation to agents, and focus your judgment on direction, architecture, and verifying outcomes. 📍 This role can be based in our Berlin tech hub. Read more about our hybrid setup here. Feel free to check out the Wolt Tech Blog for more insight into our culture and technology. Must Haves Proven expertise in building production frontend applications using TypeScript and React. Solid backend knowledge, comfortable owning and operating Node.js or Go services. Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, Buildkite), deployment processes, and cloud infrastructure for frontend workloads. Strong knowledge of frontend build tools, bundlers, and module systems, and the ability to evolve them as the platform grows. Track record of diagnosing and resolving complex performance, reliability, or DX issues in large frontend codebases. Experience driving technical initiatives across multiple engineering teams and stakeholders. Strong stakeholder management skills: aligning priorities, managing expectations, and communicating trade-offs clearly with partner teams and leadership. Strong communication skills and a collaborative, platform-mindset approach to working with feature teams. Strong documentation skills, including experience writing RFCs or ADRs. Hands-on experience working agent-first with AI coding tools, and a strong sense of how to verify their output. Nice to Haves Experience with micro-frontend architecture. Frontend platform engineering experience. Experience building shared component libraries used by many product teams. Experience or interest in observability and reliability (SRE). Experience building tooling or workflows for autonomous AI coding agents (e.g., agent instructions, skills, MCP servers, or evaluating agent-generated code). Why Join Us? Impact: Build and shape the platform that thousands of people depend on. Scale: Work on real platform problems behind 300+ MFEs with hundreds of monthly contributors. Collaboration: Partner with talented engineers, designers, and operators across companies to make their daily work faster and better. Growth: Take on deep technical challenges across frontend architecture, building a software factory, DX, and improving engineering efficiency. Culture: Be part of a diverse, open-minded team that values creativity, autonomy, and continuous learning. The PDF refers to links for the hybrid setup and Wolt Tech Blog, so please check that those links carry over when you paste. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

📌 Разработка инструментов для агентов и интеграций с корпоративными системами (1С, почта, файловые ресурсы). 📌 Обработка документов: договоры, счета, таблицы.

AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications.

Location: Москва Мы ищем инженера, который будет проектировать AI-агентов для департамента ключевых клиентов. Вы будете работать в связке с заказчиком, продуктом и инженерными командами, отвечая за технический результат агента end-to-end. Обязанности * проектирование агентных архитектур: ReAct / планы-действия, tool calling, мультиагентные схемы, маршрутизация запросов между моделями и сценариями * разработка и оптимизация промптов (few-shot, CoT, structured output), управление контекстом, версионирование промптов вместе с кодом * реализация RAG: чанкинг, эмбеддинги, векторный и гибридный поиск, реранжирование, работа с метаданными и мультиязычными документами. * интеграция LLM с корпоративными системами через API и MCP-инструменты: написание и поддержка собственных tools, схем аргументов, обработка ошибок и таймаутов * построение оценочных контуров (evals): датасеты, LLM-as-a-judge, регрессионные прогоны на каждом изменении промпта или модели * защита от галлюцинаций и prompt injection, работа с отказами и обходными путями, контроль grounding на источниках * мониторинг качества и стоимости в продакшене: трейсинг, логирование шагов агента, , телеметрия токенов и задержек * упаковка агентов в сервисы: FastAPI / Python-бэкенд, контейнеризация, CI/CD, секреты, работа в контуре банка * подбор и сравнительная оценка открытых и проприетарных моделей под задачу клиента. Требования * 5+ лет в разработке ПО, из них 2+ года в практической работе с LLM и агентными системами * уверенный Python и опыт промышленной разработки: тесты, ревью, CI/CD, работа в команде * практика с фреймворками агентов и LLM-стеком: LangChain / LangGraph, LlamaIndex, OpenAI/локальные API, Pydantic, асинхронность * глубокое понимание RAG, векторных БД (Qdrant / Milvus / pgvector и др.), эмбеддингов и стратегий поиска * опыт построения evals и оценки качества LLM-систем, а не только «демо-промптов» * навыки работы с генеративными AI-моделями * опыт вывода LLM-решения в продуктив и его последующей эксплуатации * понимание ограничений моделей: контекст, стоимость, задержки, деградация качества. **Будет плюсом** ---------------- * опыт fine-tuning (LoRA/QLoRA, SFT/DPO) и работы с моделями на своих мощностях * опыт сервинга моделей (vLLM/TGI), оптимизации inference и GPU-инфраструктуры * опыт интеграций с enterprise-ландшафтом: очереди, ESB, MCP, внутренние сервисы банка * публикации, доклады, вклад в open-source, опыт наставничества. Условия * комфортный современный офис Москва, Кутузовская 32 * гибридный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * программа ипотеки для сотрудников * подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Germany Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in Germany. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: Germany Eligibility: This individual must be a German citizen living in Germany and fluent in German, enabling immediate engagement with critical defense and national security customers. Security Clearance: German security clearance is not required, but is a strong nice-to-have. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Germany and broader European public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate complex procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior stakeholders including departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure. - Drive alignment between product development priorities and specific customer requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government and defence deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers. - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government and defence organisations procure, evaluate, and deploy technology - Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain a German security clearance Nice to Have: - Active German security clearance - Bilingual (English/German) proficiency - Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role strongly prefers eligibility for German government security clearance. We are looking for candidates eligible for German government clearance, meaning that they require German citizenship. In addition, this individual is required to be based in Germany and be fluent in German as this will enable immediate engagement with critical defence and national security customers. What Makes This Role Unique This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. 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.

Ответственность за качество ИИ-решений: определение критериев приёмки, контроль качества и принятие окончательного решения о допуске релизов в промышленную эксплуатацию. Развитие EvalOps: автоматизированные прогоны, регрессионные проверки, встраивание в CI/CD;

Опыт разработки агентов на Langraph по паттерну ReAct; Опыт разработки ML-моделей от 3 лет.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have Proficiency in Python or TypeScript, with experience shipping working software end to end Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval Experience designing integrations with third-party APIs, data sources, and services The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role A track record of building reusable internal tools, templates, or self-service assets that other teams adopted Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks Experience building always-on or scheduled agentic systems that automate internal workflows Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information Front-end or product design skills that help demos feel polished and intuitive Experience supporting product launches or running launch-readiness programs A history of turning field feedback into concrete product input that influenced a roadmap A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly 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: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! External Platform builds and operates mission critical platforms that power how customers build on top of and with Figma. The team owns our MCP, Rest API and Gateway integrations powering millions of users as they work across design and code. As an Engineering Manager on External Platform, you’ll lead a team of senior engineers working at the intersection of engineering, operations, and platform strategy. You’ll partner closely with some of our largest customers, Legal, and Program Management to translate shared goals into durable, scalable outcomes. While this team works on our external platforms, the focus is on reliability and extensibility. You will operate the platform supporting our fastest growing products and provide APIs and frameworks that both internal teams and customers built on top of. This role is ideal for someone who enjoys operating in ambiguous, cross-functional spaces, amplifying the impact of strong ICs, and driving outcomes through platform leverage. This is a full time role that can be held from our NYC hub or remotely on the East Coast of the United States. What you'll do at Figma: Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products Partner with customers, engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution Hire, coach, and develop senior and staff engineers to scale the team Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency Build an inclusive team and culture through thoughtful team-building and hiring practices We’d love to hear from you if you have: 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI platform space 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor Experience managing platform teams with a focus on reliability and extensibility A proven track record of motivating, mentoring, and growing experienced engineering leads Experience building and scaling engineering teams and org structure as they grow While it’s not required, it’s an added plus if you also have: Experience with MCP Infrastructure and integrations Experience with  LLM, AI gateways A background in adjacent infrastructure domains At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.