Вакансии

Задачи: - Разрабатывать REST API с использованием FastAPI; - Проектировать и реализовать backend-сервисы с нуля; - Проводить интеграции с базами данных и системами обмена данными; - Обеспечивать масштабируемость и отказоустойчивость сервисов; - Писать и поддерживать автоматизированные тесты; - Настраивать и поддерживать CI/CD процессы для непрерывной интеграции; - Участвовать в планировании задач и работе по методологии Scrum; - Тесно взаимодействовать с командой для оперативного решения технических вопросов. Требования: - Сильные инженерные навыки, самостоятельность, понимание полного цикла доставки приложения; - Уверенный опыт настройки и использования CI/CD, работы с Docker и Kubernetes; - Понимание DevOps-культуры, умение написать и поддержать Helm-чарт/Dockerfile, разобраться с деплоем, настроить базовый мониторинг и алертинг; - Глубокие знания Python и опыт работы с FastAPI; - Опыт работы с PostgreSQL, ClickHouse, Kafka, Redis, Spark; - Умение писать чистый, поддерживаемый код с соблюдением best practices и знание архитектурных паттернов; - Опыт работы в высоконагруженных системах и решения реальных задач на production; - Аналитический склад ума, системное мышление и готовность самостоятельно доводить задачи до конца; - Продвинутое знание инструментов мониторинга (Prometheus, Grafana, Opensearch/ELK); - Глубокий опыт в DevOps, опыт работы с Triton Inference Server и другими инструментами деплоя ML-моделей будет плюсом.

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Задачи: — Проектировать и развивать модели компьютерного зрения и видеоаналитики (детекция, трекинг, распознавание лиц, анализ поведения); — Интегрировать ML-модели в production (backend, edge); — Обучать и дообучать модели (fine-tuning, transfer learning); — Работать над реальными AI-проектами с бизнес-применением; — Сопровождать полный цикл разработки: от исследования до деплоя; — Оптимизировать модели и повышать качество CV-решений. Требования: — Уверенные знания Computer Vision и современных DL-подходов; — Глубокое понимание машинного обучения и нейронных сетей (CNN, detection/segmentation); — Уверенное владение Python; — Опыт работы с OpenCV, NumPy, PyTorch и/или TensorFlow; — Опыт работы с Git; — Опыт оптимизации моделей (speed/accuracy trade-offs, inference); — Опыт решения задач детекции, трекинга и анализа поведения людей. Условия: — Формат работы: офис, Астана.

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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 We're looking for a Solutions Product Marketing Manager to define and own Baseten's up-market, enterprise, and industries go-to-market strategy. You'll build the playbook that helps Baseten win large, complex deals and the vertical go-to-market strategies that let us compete in Financial Services, and Health & Life Sciences, and the use cases that scale across all of them. This is a highly cross-functional, largely greenfield role. You'll partner closely with the Industries sales team, product marketing, demand gen, and executive leadership to build on our enterprise go to market motion. RESPONSIBILITIES Enterprise Deal Playbook & Buyer Enablement - Build the enterprise deal playbook and full bill of materials (BOM) — pricing guides, one-pagers, TCO/ROI guides, landing pages, and event/field collateral — mapped to every stage of the buyer's journey - Build the system for keeping every sales asset current — clear ownership, last-updated dates, and a refresh cadence - Develop industry-specific event concepts featuring anchor customers and AI-native accounts to build credibility with target executive audiences Vertical GTM & Industry Go-to-Market Kits - Build vertical sales kits and ICP/positioning frameworks for priority industries - Own industry-specific landing pages, messaging, and TCO guides, extrapolating from early AI-native accounts to larger enterprise targets - Design and help launch ABM experiments in partnership with demand gen Industries AE Enablement & Onboarding - Design role-specific onboarding for Industries AEs, including certifications, customer-grounded scenarios, and async, refreshable content - Build sales playbooks tied to real customer examples, and package assets into an AE-ready enablement motion (first call, competitive deals, legal/finance/procurement, TCO/ROI, self-hosted) - Become a trusted partner to the industries team so onboarding and enablement stay grounded in what sellers actually need REQUIREMENTS - 6+ years in product marketing, solutions marketing, or a related GTM function, ideally at a technical or infrastructure company - Experience building enterprise or vertical go-to-market motions — ICP definition, buyer journey mapping, and full-funnel sales collateral - Comfort translating technical, infrastructure-heavy concepts (inference, self-hosted deployment, TCO/ROI) into narratives for both technical buyers and non-technical stakeholders like legal, finance, and procurement - Track record designing and running sales enablement or onboarding programs for technical sellers - Strong cross-functional coordination skills — you can pull together sales, customer marketing, demand gen, and executives around a shared plan - Comfortable owning execution as well as strategy: landing pages, decks, one-pagers, and written content, not just frameworks - Thrives in ambiguity — this role is about building the enterprise motion from a fairly blank slate NICE TO HAVE - Experience in (or a fast ability to ramp on) financial services, manufacturing/industrial, or health/life sciences - Experience running or contributing to a Customer Advisory Board or executive champion program - Familiarity with AI/ML infrastructure, inference, or developer tools - Experience partnering with technology partners on co-marketing or joint events 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: Remote - US About the Job: Feature management and experimentation have converged into a single market, and the buying dynamic at the top has shifted. Engineering teams are no longer the sole evaluator — data scientists and data-focused PMs now carry equal weight on the largest deals. The bar for statistical depth, warehouse ergonomics, and experiment-first workflows is rising quickly. In traditional experimentation we have built the foundation: a trusted runtime control plane, a growing experimentation engine, and early warehouse-native capabilities. We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations. Closing that gap is the job. In AI experimentation, we have an early lead: the AI-native tooling category has invested in evaluation and conceded production experimentation, and we already have the primitives (statistical significance, multi-armed bandits, experiment-aware guardrails) that no AI-native competitor ships. Extending that lead is the other half of the job. This leader will own whether LaunchDarkly becomes the definitive experimentation platform in an AI-accelerated world. Responsibilities: Own the Experimentation pillar. Direct leadership of the Product team. Partner with Engineering and Design counterparts in a triad model. Accountable for the pillar's strategy, roadmap delivery, and commercial outcomes. Make the investment case across the in-product experimentation experience, the warehouse-native analysis layer, and the infrastructure that scales them. Make experimentation the measurement layer of the AI SDLC. Partner with our AI product, observability, and core feature management leaders to productize the capabilities we already have as AI-native primitives. Build a closed loop from offline evaluation through production experiments, to automatic promotion and rollback, to a self-improving feedback loop for agents. Win the high-maturity buyer. Earn the technical confidence of senior data scientists and data-focused PMs. Decide what statistical depth, warehouse coverage, and experiment-first workflow capabilities are non-negotiable, and get them shipped on a timeline that wins pivotal reference deals. Make warehouse-native a weapon. Expand coverage across major data warehouses and query layers. Deliver parity on analysis-only mode, variance reduction, ratio and percentile metrics, exposure validation, and arbitrary-window analysis. Operate a high-performing function. Run a disciplined roadmap, ship predictably against quarterly commitments, drive AI-assisted engineering productivity inside the org, and hire where gaps exist. Be the external face of the category. Credibly represent the product with Data scientists, PMs, experimenters, analysts, and partners. Translate the strategy to the field and equip sales to win head-to-head. How you'll be measured: Win rate on experimentation-involved deals, especially head-to-head competitive evaluations — step change in the first year, sustained improvement thereafter. Reference-grade customers at the top of the maturity curve, including named strategic logos. Monthly active customers and active-account ARR growth against plan. Experimentation attach rate on new and expansion enterprise deals. Engineering throughput — roadmap delivery velocity and AI-assisted development adoption inside the function. Qualifications: Senior product leader (GM, VP, or equivalent) with a track record of owning a product line that competes on statistical rigor and data infrastructure. Deep, operator-level fluency in experimentation methodology: causal inference, variance reduction, ratio metrics, sequential testing, exposure design, multi-armed bandits, and composite/multi-objective metrics — and the realities of running these at scale against production data warehouses and against non-deterministic systems where output variance, not just user variance, drives sample-size and significance decisions. Has earned credibility with data science leaders and experimentation specialists at sophisticated organizations — and can recruit them. Has led a function that includes engineering, design, and data science. Comfortable setting a multi-quarter roadmap, championing investment allocation, and reporting results to an executive team and board. Clear, direct communicator. Decides fast with incomplete information. Prefers shipping and learning to requirements documents. Opinionated about where experimentation is going in an AI-native world — and specifically, how agents and autonomous systems will use experimentation infrastructure differently than human teams do. Preferred Qualifications: You have built or scaled experimentation at an organization where it was core infrastructure, not a secondary analytics capability. You have personally won competitive evaluations where a sophisticated data-science organization was the deciding voice. You have shipped warehouse-native data products and understand the operational realities of running experiments directly against customer data infrastructure. You see experimentation as how software teams prove that any change — whether built by a person or an AI agent — actually worked. That evidence layer is core infrastructure, not a reporting afterthought. Pay: Target pay ranges based on Geographic Zones* for Level M5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 301,000 - $414,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 271,000 - $373,000 ** Zone 3: All other US locations - $ 256,000 - $352,000 ** All Zones inclusive of 20% Bonus LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you’ll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second. Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You’ll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed. Pipeline bottlenecks don’t survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. The bridge between Data Science and Backend. You’ve worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn’t optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. Go Big. Own projects with impact on 770M users and push adtech boundaries. Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. Be Direct. Solve problems openly and collaborate across teams. Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.

Location: New York City Workplace: Hybrid About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: US Remote Workplace: Remote About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

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 We’re looking for an experienced Executive Assistant to support our Head of Engineering. This is a highly operational role that goes well beyond calendar management. You’ll own the day-to-day operating rhythm of the Engineering organization, ensuring leaders are prepared, priorities stay coordinated, and critical meetings, communications, and follow-ups happen seamlessly. You’ll partner closely with senior engineering leaders and serve as a trusted point of coordination for employees, customers, candidates, and external partners. Success in this role comes from exceptional organization, judgment, attention to detail, and the ability to keep many moving pieces aligned in a fast-growing environment. RESPONSIBILITIES - Own complex calendar management for the Head of Engineering, balancing shifting priorities while ensuring time is allocated intentionally - Ensure leaders are prepared for every day and every meeting by proactively managing agendas, materials, context, logistics, and follow-ups so time is used effectively and decisions move forward - Support forward-looking calendar planning, coordinating recurring operating cadences including roadmap planning, leadership meetings, P0 reviews, Engineering All Hands, and other cross-functional forums - Own the operational cadence of the Engineering organization, including weekly leadership meetings, monthly Show & Tells, Engineering All Hands, roadmap planning, and other recurring forums - Support the Head of Engineering in delivering an exceptional candidate and new hire experience—from providing high-touch support for executive candidates during onsite interviews to ensuring new team members are welcomed personally during their first week - Partner with customers and external partners to coordinate executive meetings, visits, and other engagements - Manage executive inboxes, helping prioritize communications, triage requests, and ensure timely follow-up - Coordinate domestic and international travel, including last-minute changes - Continuously improve how the Engineering leadership team operates by identifying opportunities to make processes more efficient, scalable, and reliable REQUIREMENTS - 5+ years of experience supporting senior Engineering leaders (CTO, VP Engineering, Head of Engineering, or similar) in a high-growth technology company. You understand how technical organizations operate and have experience supporting engineering operating rhythms, technical planning cycles, and fast-moving product development teams. - Exceptional organizational skills with the ability to manage multiple competing priorities without dropping details - Outstanding written and verbal communication skills, with strong judgment about when and how to communicate on behalf of executives - Demonstrated ability to coordinate complex cross-functional initiatives involving many stakeholders - Experience managing complex calendars, travel, executive communications, and recurring operating cadences - Comfortable working with senior leaders, customers, candidates, and external partners with professionalism and executive presence - Proactive, resourceful, and highly autonomous. You anticipate needs before they become problems. - High attention to detail and a strong sense of ownership. You take pride in creating structure, improving processes, and ensuring nothing falls through the cracks. - Thrives in a high-growth environment where priorities change quickly and adaptability is essential. 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; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're seeking a Revenue Operations Manager with a strong track record, a builder's mindset, and a bias for action to join our in-person team in New York or SF. This is a high-impact, hands-on role. You'll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You'll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion. WHAT YOU'LL DO: - Own the lead routing process from inbound and partnering with marketing to ensure proper attribution - Run effective territory management & strategy for Geo based decisioning - Support & strategise every aspect of revenue operations in your territory - Own the strategy for capacity forecasting, inputs, throughputs & outputs being the conduit back to finance in the US for effect capacity forecasting - Input and strategy for comp based decisioning and benchmarking - Support leadership in overall regional operations & finance strategy across all functions, sales, pre, ecosystem etc - Evaluate new tools in market and be responsible for improving the efficiency and effectiveness of the sales team - Build and maintain dashboards, leaderboards, and pipeline reporting to give leadership real-time visibility. - Monitor deal progression and hold reps accountable for CRM hygiene and accuracy. - Support deal reviews at the pricing and negotiation stages, coordinating with outside counsel as needed. - Own the closed-won process from signature through handoff to post-sale. - Administer commission plans across the sales org, ensuring accurate and timely calculations and serving as the source of truth for comp-related questions. WHAT YOU BRING: - A builder's mentality; you identify gaps, propose solutions, and execute without being asked twice. - The ability to zoom out and think strategically while staying close enough to the work to get your hands on the keyboard. - An AI-forward mindset: you actively use AI in your work and are excited to pioneer its use in go-to-market operations. - Strong communication and collaboration skills; you earn trust across Sales, Marketing, and Finance. - A player-coach orientation; you're not above the details and you're excited to own the work yourself REQUIREMENTS: - 3–7 years in Sales Operations or Revenue Operations at a high-growth usage based sales organization - You've built core GTM infrastructure before: lead routing, CRM architecture, pipeline reporting, commission administration, deal desk. - Deep proficiency in workflows, lifecycle stages, custom properties, data hygiene. - You've owned commissions end-to-end: building the model, calculating payouts, fielding rep disputes, and keeping it reconciled with Finance. - You've run a deals desk, you know what makes a contract clean and you catch errors before they become problems. - Strong in Excel or Google Sheets; you can build a pipeline coverage model and know which metrics actually matter. - You've earned trust with a sales team by making their lives easier while holding them accountable to process.

Location: New York; San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT THE ROLE: As a Manager, Enterprise Sales, you will lead and scale our enterprise sales team, driving strategic revenue growth with a consultative, customer-first approach. You will oversee complex deal cycles, coach Enterprise Account Executives, and build the motion that wins high-impact, multi-stakeholder deals in a rapidly evolving AI landscape. WHAT YOU’LL DO: - Lead, mentor, and develop a team of Enterprise Account Executives, fostering a culture of performance, strategic thinking, and collaboration - Own and guide the full enterprise sales cycle, from targeted outbound and discovery to multi-threaded navigation, negotiation, and close - Build and refine enterprise sales playbooks, qualification frameworks, and forecasting models that increase accuracy and velocity - Collaborate cross-functionally with Product, Marketing, and Engineering to align on go-to-market strategy, unblock enterprise requirements, and deliver seamless customer experience - Drive pipeline generation strategy and help shape top-of-funnel programs - Establish enterprise sales processes, performance metrics, and best practices that ensure consistent quota attainment across the team WHO YOU ARE: - A proven enterprise sales leader with experience closing large, complex deals and managing high-performing teams - Skilled in multi-threading, stakeholder alignment, and navigating procurement, legal, security review, and executive-level conversations - A strong coach who helps Account Executives sharpen discovery, messaging, deal strategy, and negotiation - Highly strategic and structured, able to build repeatable systems and scalable enterprise sales motions - Comfortable owning forecasts, running deal reviews, and driving predictable revenue outcomes

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 We are looking for an IT Support / Operations Engineer to join Baseten as we continue to scale our IT team. In this role, you will play a critical part in bringing our technical support entirely in-house to provide a seamless, high-touch experience for all Baseten employees. As we continue to scale, you will be the primary point of contact for day-to-day technical issues, allowing you to have a direct impact on our team's productivity and overall office environment. This position is ideal for a hands-on problem solver who enjoys a mix of hardware and software troubleshooting, user lifecycle management, and maintaining the physical IT infrastructure of a modern office. While you will focus heavily on elevating our internal support standards, you will also assist with systems administration and workflow automation as our company evolves. This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in-person to ensure our physical office and AV systems remain high-performing and reliable. RESPONSIBILITIES - Serve as the escalation point for day-to-day technical support, diagnosing and resolving hardware and software issues across our Mac and Windows fleet - Manage user lifecycle administration including provisioning, deprovisioning, and access management across all systems and services - Own the IT onboarding experience for new employees — from laptop setup and account configuration to a smooth first-day experience - Maintain and continuously improve office IT infrastructure to ensure a reliable, high-performing environment for all employees - Build and maintain a knowledge base of self-serve resources to reduce ticket volume and empower users - Manage IT asset procurement, inventory tracking, and vendor relationships - Support new office buildouts and contribute to broader workplace IT planning as we scale - Identify opportunities to automate workflows and eliminate inefficiencies across IT operations - Adapt to the evolving needs of a fast-growing company, taking on new challenges as they arise - Systems administration, including managing admin-level access, configuring user permissions, and performing routine maintenance across cloud-based services. REQUIREMENTS - Strong working knowledge of Google Workspace, MDM platforms (e.g. Kandji), IdM/SSO solutions (e.g. Okta), and video conferencing tools - Proven experience administering macOS at scale, with solid working knowledge of Windows environments - Hands-on experience with automation tools and a track record of streamlining IT processes and workflows - Excellent communication skills with a genuine passion for delivering great support experiences - Strong organizational skills with the ability to manage multiple priorities in a fast-paced, ambiguous environment 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; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. PREFERRED QUALIFICATIONS: 1. Currently pursuing a PhD in computer science, machine learning, or a related field. 2. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. 3. Experience developing and evaluating large-scale models or machine learning systems. 4. Familiarity with distributed training, large-scale inference, or multi-GPU environments. 5. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR. 6. Strong programming and engineering skills, with the ability to translate research ideas into working implementations. 7. A collaborative, mission-driven mindset and the ability to work effectively across research and engineering teams.

Зарплата не указана

Задачи: - Разрабатывать сервисы под NLP и LLM - Разрабатывать AI-тренажеры, работа с RAG, интеграция с голосовым движком (ASR/TTS) - Проводить PoC по новым инициативам - Проводить code review Требования: - Уверенные знания Python - Стек: FastAPI, asyncio, PostgreSQL, Redis, Docker/Kubernetes - Опыт работы с RAG, векторными БД (Milvus, Chroma) - Умение писать тесты (pytest) и проектировать отказоустойчивые API - Опыт разработки телеграм и макс ботов (библиотеки maxapi, aiogram) - Опыт работы с ASR/TTS - Знание инфраструктуры ML (Triton Inference Server, локальные LLM) - Опыт проектирования или работы с AI платформами - Опыт работы в кросс-функциональных командах с DS и DevOps

Зарплата не указана

Задачи: — Владеть архитектурой обработки звонков: SIP сигнализация на границе (Kamailio / OpenSIPS), управление медиа и звонками (FreeSWITCH, Asterisk, RTPengine), Python-сервисы, связывающие голос с AI inference pipeline, интеграции с операторами — Масштабировать платформу до 10,000+ одновременных звонков с жесткими требованиями по задержкам и SLO — Проектировать высокодоступные и аварийные решения: anycast SIP, активный/активный медиа, географический failover — Устанавливать инженерные стандарты для телекоманды (тестирование, нагрузочное тестирование, code review, дежурства) — Наставлять старших и миддл инженеров, повышать технический уровень команды — Определять наблюдаемость качества голоса и SLO (MOS, jitter, packet loss, latency) — Руководить стратегией работы с операторами: SIP транки, резервирование, LCR, STIR/SHAKEN — Сотрудничать с AI и продуктовой командой для соблюдения бюджетов задержек Требования: — Опыт разработки 8+ лет, из них 4+ года в телеком/VoIP в продакшене — Техническое лидерство: документация, наставничество, межкомандные решения — Глубокий опыт работы с FreeSWITCH и Kamailio или OpenSIPS (кастомные модули, скрипты маршрутизации, масштаб) — Знание SIP/RTP/SRTP/SDP/ICE, умение отлаживать через pcap и SIP trace — Опыт эксплуатации голосовой платформы с 1000+ одновременных звонков (понимание отличий при 10k) — Сильные навыки Python, готовность работать с Lua/Go/C по необходимости — Опыт интеграции с PSTN/SIP транковыми провайдерами (Twilio, Telnyx и др.), управление DID, LCR — Практический опыт HA и failover для систем реального времени — Опыт работы с Kubernetes (GKE/EKS) и Terraform в продакшене — Владение английским языком на уровне B2-C1, русским на уровне B2 — Локация: любой город, кроме России и Беларуси

5 000 – 6 000 $

Location: London 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! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on UK public sector and defence accounts. 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 UK Government and defence organisations. 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 engagements. Location: UK Security Clearance: Active Top Secret clearance preferred; candidates with Active Secret clearance or those who are eligible and willing to obtain clearance will also be considered. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate government procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, and government 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 government officials and departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government deployments: privacy compliance, security authorisations, technical and infrastructure constraints - Drive alignment between product development priorities and specific government requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet government-grade 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 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 (public sector, defence contractors). - 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 organisations procure, evaluate, and deploy technology - Familiarity with UK 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 UK government security clearance (Top Secret preferred) Nice to Have: - Active UK government security clearance (Secret or Top Secret) - preference for active Top Secret clearance - Background in or strong familiarity with UK 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 requires eligibility for UK government security clearance. Preference will be given to candidates who currently hold an active UK government Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers. However, we will also consider exceptional candidates who: - Currently hold UK government Secret clearance and are eligible for TS upgrade - Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process - Have a previous government security clearance that has lapsed Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway. 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 the UK’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 the UK 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.

Location: France 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 France. 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: France Eligibility: Critically, this individual is required to be a French citizen living in France with fluency in French as this will enable immediate engagement with critical defence and national security customers. Security Clearance: Active French Secret clearance is preferred; candidates eligible and willing to obtain clearance will also be considered. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for French 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 French security clearance Nice to Have: - Active French security clearance (Secret or Top Secret) - Bilingual (English/French) 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 requires eligibility for French government security clearance. Candidates must be eligible for French government clearance, meaning that they require French citizenship. In addition, this individual is required to be based in France and be fluent in French 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.

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 We’re hiring a People Business Partner to support our team during a critical phase of growth. This is a highly strategic, high-impact role for someone who has partnered closely with leadership teams and helped organizations scale with intention. You will be deeply embedded with managers, bringing clarity and rigor to how teams are structured, how leaders operate, and how talent is developed across the organization. You’ll help shape team effectiveness, identify critical talent gaps, drive talent and performance strategies that enable high-performing teams, and build the people practices and change management approaches that allow us to scale with both speed and discipline. This role requires strong business judgment and the ability to operate with deep context. You’ll partner closely with leaders to navigate complex organizational decisions, anticipate challenges before they surface, and bring a clear point of view on what great looks like at every level of the organization. RESPONSIBILITIES Strategic partnership to leadership - Serve as the trusted people partner to leadership, maintaining deep business context and translating it into people priorities by proactively surfacing systemic issues, risks, and opportunities before they become urgent. - Bring data-driven insights to advise management on org design, succession planning, performance, retention, and engagement. - Build management capacity across the org, equipping leaders with the skills and frameworks to hire well, set clear expectations, give direct feedback, and develop their teams. - Partner with leadership, Talent, and Finance on headcount planning and tracking. Support annual planning and ongoing adjustments to hiring plans as business priorities and team needs evolve. - Support change management efforts across teams, ensuring leaders and cross functional teams can successfully navigate growth, evolving strategy and changing org structure. Performance and talent management - Drive a high-performance culture, supporting clear expectation setting, rapid ramping, ongoing accountability, regular performance reviews, and rigorous performance management. - Navigate high-stakes people matters (investigations, performance exits, organizational change), balancing compliance and risk management with compassion and a human approach. - Advise on role architecture, career pathing, and promotion readiness within the org, proactively identifying top talent and flight risks to inform retention and development strategies. - Collaborate with Compensation on salary benchmarking, equity strategy, and offer approvals to keep hiring competitive and internally equitable. - Partner closely with People Operations on employee lifecycle execution. Develop best practices and strong documentation practices for role changes, promotions, leaves, and terminations. - Collaborate with Workplace Experience to ensure teams have what they need across our offices, from team onsites and offsites to day-to-day environment asks. REQUIREMENTS - 6+ years of progressive People Business partner experience, partnering with all levels of management, from VP+ leaders to frontline and first-time managers, across a range of functions. - Experience supporting 400+ employee organizations through rapid growth, with deep expertise in org design, performance management, talent strategy, and leadership development. - Strong business acumen, with the ability to understand priorities and trade-offs and quickly build credibility and deep context with the functions you support. - Proven ability to navigate complex, high-stakes people decisions with speed and sound judgment, grounded in risk awareness. - Highly analytical and first-principles thinker who uses data to diagnose root causes and builds simple, scalable processes over heavyweight systems. - Thrives in high-growth environments defined by ownership, pace, and ambiguity. High-ownership mindset with a bias toward execution and building repeatable systems. - Extremely clear written and verbal communication skills, balancing nuance with directness to build trust and align stakeholders. - Able to work in-person 3+ days per week in San Francisco. 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 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 Field Marketing Manager, you will lead the development and execution of regional marketing strategies to support sales goals, drive demand, and enhance brand awareness. This role requires a strategic thinker with a builder mentality that has a strong understanding of the New York or San Francisco tech ecosystem. RESPONSIBILITIES - Develop and execute regional field marketing plans and programs to align with sales priorities and pipeline goals. - Plan and manage events to drive demand, accelerate pipeline, and engage customers. - Own program management, including event logistics, budget oversight, and vendor coordination. - Analyze and report on campaign effectiveness, providing insights to optimize future initiatives. - Collaborate with product marketing to align messaging and go-to-market strategies with field initiatives. - Prioritize seller requests by expected revenue. - Represent Baseten at industry events and build brand presence in-market. REQUIREMENTS - Bachelor’s degree in Marketing, Business, or related field. - 5-7 years of experience in field marketing in the technology or SaaS industry. - Proven track record in delivering and optimizing demand generation programs to meet pipeline goals. - Strong understanding of sales processes. - Proficiency with marketing tools such as Salesforce & HubSpot. - Excellent project management skills with the ability to prioritize and execute multiple initiatives simultaneously. - Collaboratively with a growth mindset. - Strong interpersonal and communication skills with a collaborative mindset. - You actively use AI tools to drive your own productivity - in how you analyze data, structure problems, draft communications, and accelerate your work. - Ability to travel up to 25% for events and meetings. 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).