Location: Palo Alto; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a US Patent Attorney on the legal team, you will transform cutting-edge research into a strategic intellectual property portfolio that protects Mistral AI’s innovations and supports its global growth. You will work closely with research, engineering, and product teams to identify, prioritize, and secure patentable inventions, shaping the future of open-source AI while aligning IP strategy with the company’s mission.
The legal team, currently comprising 30 people across Paris, London and Palo Alto, covers compliance, IP, contracts, and corporate matters. Your role will have a direct impact on defining AI standards, securing strategic assets, and embedding IP thinking into the company’s culture and processes.
WHAT YOU WILL DO
- Identify and prioritize patentable inventions by engaging with researchers, engineers, and product managers, advising on trade secrets vs. patent filings.
- Draft invention memos and patent applications, translating complex technical ideas into clear, defensible disclosures.
- Manage global patent prosecution, including office action responses and outside counsel, to ensure high-quality filings.
- Develop and maintain internal IP processes, tools, and documentation, including dashboards for tracking filings, deadlines, and portfolio metrics.
- Support M&A due diligence by assessing IP portfolios, freedom-to-operate risks, and competitive positioning of targets.
- Administer and evolve the inventor recognition program, including bonuses, awards, and visibility initiatives.
- Align patent strategy with Mistral’s open-source objectives and recommend participation in defensive patent networks or alliances.
WHAT WE'RE LOOKING FOR
- Proven experience drafting patents in complex software/AI domains, with a deep understanding of AI patent eligibility in the US and Europe.
- Hands-on experience with LLMs or other GenAI technologies, including the ability to decode and articulate technical concepts like model architectures or training methods.
- Experience selecting, managing, and optimizing external patent firms to ensure high-quality, cost-effective prosecution.
- Ability to engage with researchers and engineers, extract critical information, and explain IP concepts to non-legal audiences.
- Self-driven and resourceful, with a talent for anticipating needs, engaging stakeholders, and documenting processes.
- Business acumen to understand how patents drive value for a scale-up, combined with familiarity with open-source licenses and their intersection with patents.
- Fluent English (required for legal/technical writing);
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
ГибридPalo Alto; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Location: Paris
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Data Quality Specialist on the Human Data Annotation team, you will ensure the highest standards of quality and efficiency in human data annotations. This role exists to support the development and evaluation of AI models by creating and auditing annotations that meet rigorous guidelines. You will work closely with the technical team to refine annotation processes, tools, and guidelines, directly contributing to the accuracy and reliability of our models. Your attention to detail and analytical skills will help maintain the integrity of the data that powers Mistral’s AI systems.
What You Will Do
- Create high-quality data annotations based on guidelines and continuous feedback.
- Review and audit annotations to clarify requirements and improve annotation processes.
- Collaborate with the technical team to share insights that enhance tools and guidelines.
- Apply strong research and analytical skills to ensure data accuracy and consistency.
- Exercise sound judgment when working with complex instructions, limited data, or multiple information sources.
- Adapt to dynamic environments and evolving requirements to maintain high standards.
- Contribute to operational workflows with a high tolerance for repetitive tasks.
What We're Looking For
- Relevant academic background in science, technology, engineering, or mathematics.
- Professional proficiency in English, with strong writing and comprehension skills.
- Outstanding research and analytical abilities to ensure data quality.
- Excellent communication, interpersonal, and organizational skills.
- Ability to adapt easily to changing requirements and dynamic environments.
- Willingness to engage in operational work and learn new tools and technologies.
- Experience with data, fluency in multiple languages, or familiarity with code is a plus.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: One Kattameya, Cairo
Workplace: onsite
We are looking for Senior Data Analyst who has deep technical analytics with business partnership. In this role you aren't just expected to build dashboards, you're expected to own the entire analytical lifecycle and influence business decisions.
What you'll do:
Own analytics for one or more business domains (such as Lending, Payments, Risk, Sales, or Growth), acting as the primary analytics partner for stakeholders.
Translate ambiguous business questions into clear analytical problems, delivering actionable insights that drive decision-making.
Build, maintain, and govern trusted metrics and dashboards in Looker using LookML, ensuring consistent definitions and a reliable single source of truth.
Conduct advanced analyses, including funnel diagnostics, cohort analysis, segmentation, churn and activation analysis, and causal inference, to uncover not just what happened, but why.
Partner directly with senior stakeholders to scope requests, prioritize work, communicate findings, and confidently present analytical recommendations.
Ensure data quality by validating datasets, reconciling discrepancies, and identifying limitations related to data availability or privacy requirements.
Contribute to the analytics platform by improving documentation, semantic models, coding standards, and best practices that enable the team to scale.
Communicate insights through concise dashboards, presentations, and documentation tailored to different audiences.
To succeed in this role, you'll need to have:
5+ years of experience in data analytics, including at least 2 years operating independently in a senior individual contributor capacity.
Background in fintech or banking is strongly preferred.
Advanced SQL with strong understanding of complex datasets and multi-row relationships.
Experience with cloud data warehouses such as BigQuery (preferred), Snowflake, or Redshift.
Strong experience building governed BI solutions in Looker/LookML or comparable platforms such as Tableau or Power BI.
Experience with dbt or similar data transformation frameworks.
Working knowledge of Python or R for analysis and automation.
Strong foundation in statistics, experimentation, and causal analysis (A/B testing, cohort analysis, regression, diff-in-diff, regression discontinuity, etc.).
Ability to transform ambiguous business questions into well-scoped analytical projects.
Strong analytical judgment and methodological rigor.
Excellent stakeholder management and communication skills.
Commitment to data quality, governance, and consistent metric definitions.
Ability to work autonomously and own projects from problem definition through delivery.
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution, including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the team
Management API, written in TypeScript, Nest.js and other JavaScript technologies, is a central part of every product in the Supabase stack. It allows all Supabase services and Supabase Studio to communicate with each other, programmatically manage your own Supabase projects and organisations, as well as integrate with 3rd party services like Vercel, Resend, or Lovable.
You will:
— Design, implement, and maintain both internal and public-facing APIs used across various Supabase products, including Studio, CLI, management APIs, and OAuth applications.
— Integrate with third-party platforms and partners, either by developing custom integrations or providing clear API points for them to connect with Supabase.
— Collaborate closely with various teams across Supabase (DevOps, Frontend, etc.) to ensure smooth integration and implementation of API functionality for the rest of the platform.
— Build and enhance testing, debugging, and monitoring tools to ensure public APIs' stability, reliability, and performance.
— Work with the dev-workflows team to enhance and improve the Branching experience, making it easier and more valuable for Supabase users.
You have:
— 5+ years of experience in backend API development, with strong expertise in TypeScript and JavaScript (Node.js) and familiarity with modern tools and frameworks (e.g., Nest.js, Express, Vitest, Zod).
— Expertise in designing robust, scalable, and maintainable APIs, and experience with API versioning, pagination, and error handling best practices.
— Experience with OAuth, JWT, and API security best practices (rate limiting, CORS, etc.) is a plus.
— Good understanding of PostgreSQL and relational databases.
— Proven ability to build scalable, maintainable APIs and develop tools for testing, debugging, and monitoring API performance.
— Understanding of CI/CD pipelines, Docker, and containerized deployments to streamline API development, testing, and release processes.
What We Offer
— Fully Remote: We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
— ESOP: Every team member receives ESOP (equity ownership) in the company.
— Tech Allowance: Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
— Health Benefits: Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are.
— Annual Off-Sites: Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun.
— Flexible Work: We operate asynchronously and trust you to manage your own time.
— Professional Development: Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. 280+ team members, 55+ countries, 20+ languages spoken, $500M raised, 500,000+ community members. We move fast, build in public, and use what we ship. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Hiring Process
We keep things simple, async-friendly, and respectful of your time:
— Apply – Our team will review your application.
— Intro Call – A short video chat to get to know each other.
— Interviews – Up to four calls with: Team Leads, Future teammates, Someone cross-functional from product, growth, or engineering (depending on the role), Someone from our leadership/founding team.
— Decision – We may follow up with a final question or go straight to offer. All communication is remote and we aim to move fast.
Задачи:
— Развивать и улучшать основную платформу.
— Улучшать опыт разработчиков, обновляя внутренние библиотеки и фреймворки.
— Вносить вклад в платформу event store.
— Участвовать в разработке внутренних open-source библиотек.
Требования:
— Свободное владение Java.
— Опыт backend-разработки не менее 6 лет.
— Опыт работы с распределёнными системами и CI/CD.
— Высшее образование в области компьютерных наук, математики, физики или смежных областях.
— Умение эффективно работать в команде в динамичной среде.
— Свободное владение английским языком на уровне C1.
Будет плюсом:
— Владение Kotlin или Scala.
— Опыт работы в финансовой сфере.
— Опыт работы в стартапах или масштабируемых компаниях.
— Практический опыт работы в продуктовой среде.
Условия:
— Работа в мультикультурной команде.
— Компания сертифицирована как Great Place to Work™.
— Приверженность разнообразию и инклюзивности.
— Возможность работать из офисов или удалённо в указанных европейских странах.
Процесс найма:
— Откликаться только через официальные каналы Revolut.
— Проверять, что все коммуникации приходят с домена @revolut.com.
— В процессе найма не запрашивается оплата или личная финансовая информация.
Location: Paris
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Montréal
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in French and English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why joining us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
- Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
- Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Preferred duration: at least 6 months. Priority to candidates about to finalise their studies.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence.
Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners.
Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact.
WHAT YOU WILL DO
• Individually deploy AI solutions into production for use cases with significant operational and strategic impact.
• Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers.
• Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning.
• Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders.
• Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.
HOW WE WORK IN APPLIED AI
• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.
ABOUT YOU
• Fluent in English.
• PhD or Master's in AI, Machine Learning, Computer Science, or related field.
• 2+ years of experience in AI/ML
• Proven track record of leading teams to deliver complex AI projects from prototyping to production.
• Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
• Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus.
• Strong software engineering skills: API design, backend/full-stack development, system architecture.
• Excels in technical communication with technical and non-technical audiences, including executives.
• Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.
IT WOULD BE GREAT IF YOU
• Have experience with React or other frontend frameworks.
• Have experience with Deep Learning in PyTorch
• Contributed to open-source projects in the LLM or AI space.
• Have experience in customer-facing roles with a focus on enterprise AI adoption.
SECURITY & COMPLIANCE CRITERIA
• Eligibility: must hold citizenship in the target territory (France for now).
• Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Улучшать опыт .NET-разработчиков через создание новых инструментов и практик.
— Оптимизировать настройки .NET рантайма для повышения производительности и снижения потребления ресурсов.
— Разрабатывать платформенные фичи: автоматические таймауты, retry, circuit breaker и loadshedding.
— Дорабатывать и поддерживать платформенные клиенты для БД (PostgreSQL, Redis, Clickhouse, Cassandra).
— Обеспечивать выпуск внутренних релизов .NET-платформы.
— Исправлять баги в базовых библиотеках (Npgsql, grpc-dotnet) и участвовать в open source.
Требования:
— Опыт разработки на C# и глубокое понимание .NET.
— Знание сетевых протоколов gRPC и HTTP.
— Опыт работы с высоконагруженными и распределёнными системами.
— Навыки анализа и оптимизации производительности приложений.
— Возможность работать из России, Казахстана или Беларуси.
Хорошо, если есть:
— Опыт контрибьюта в open-source проекты (базовые библиотеки .NET).
— Понимание внутреннего устройства .NET Runtime.
— Опыт разработки инфраструктурных или платформенных компонентов.
Условия:
— Гибкий формат работы: офис, гибрид или удалёнка.
— Полный соцпакет: ДМС со стоматологией, страхование жизни, поддержка психолога.
— Профессиональное развитие: Ozon Универ, курсы по программированию, математике и английскому.
— Поддержка участия в конференциях (оплата билетов, проживания и дороги).
— Спортивные клубы (бег, волейбол, футбол) и йога в офисе.
— Льготная жилищная программа для сотрудников.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact.
Previous experience in life sciences is welcome, but not required for this role.
Minimum Qualifications
Demonstrated experience training and evaluating large language models
Proficiency in Python and familiarity with modern ML development practices
Experience building and managing data pipelines for large-scale datasets
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Preferred Qualifications
8+ years of machine learning experience
Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
Experience working with large-scale biological datasets
Published research or practical experience in scientific AI applications or long-horizon reasoning
Background in reinforcement learning and/or pretraining
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
Contributions to open-source scientific software or databases
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:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Palo Alto; New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an AI Scientist, you will research and develop novel methods to advance the capabilities of large language models. This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life.
You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing.
The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit.
WHAT YOU WILL DO
- Research and develop innovative methods to advance the frontier of large language models.
- Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models.
- Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact.
- Design and implement solutions that address complex challenges in AI model development and deployment.
- Contribute to the open-source community by releasing cutting-edge models and tools.
WHAT WE'RE LOOKING FOR
- A strong publication record in a relevant scientific domain, such as machine learning or natural language processing.
- High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java.
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
- A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team.
- Experience with training large transformer models in a distributed manner.
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
- Experience with audio or speech processing, including input/output and NLP.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the Canadian time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
186,368
- CAD
223,642
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
174,986
- USD
209,983
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
The Product Manager, Integrations you will have ownership of a portfolio connectors and analytical use cases at Fivetran. Your vision, execution, and collaboration towards business-critical goals creates successful products that make analysts more productive and look like superheroes to their teams.
This is a full-time position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. The successful candidate must be able to work with overlap with US EST and PST time zones.
What You’ll Do
Manage a portfolio of products and contribute to strategic decisions on growing and improving that portfolio, including optimizing revenue.
Build the vision, strategy and roadmap for your portfolio.
Learn what questions analysts are trying to answer, decide what data sources they need and design great data schemas to drive analytical success.
Ensure we prioritize the most important product improvements.
Collaborate with analytics to create reporting and ad hoc analysis using the data available and in collaboration with our key business partners.
Work directly with multiple engineering teams and our operations teams to ensure Fivetran is delivering the highest quality data possible.
Your guiding metric will be the Revenue Weighted Usage of your portfolio of products.
You will play a key role in the growing and adoption of Fivetran's SaaS Connector Portfolio
Skills We’re Looking For
Strong SQL skills
Previous experience working as a product manager preferably for B2B SaaS products
Proven track record of shipping data products that deliver measurable results.
Proven ability to develop deep customer empathy and articulate customer problems.
Demonstrated experience using data and analytical abilities to help solve problems and make decisions.
Demonstrated ability to effectively collaborate with a talented team of engineers and designers.
Excellent written and verbal interpersonal skills with a confirmed ability to influence partners.
High technical and analytical acumen.
Embody team values of Curiosity, Ownership, Collaboration, Kindness, and Integrity
A deep sense of empathy for the customer, ensuring that all solutions are customer-focused and deliver significant value.
#LI-HYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$173,722.50
—
$208,475.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
Mattermost is hiring a
GRC Manager
to own and modernize our governance, risk, and compliance program across both federal and commercial markets.
This is a program-ownership role for someone who brings a modern, engineering-led approach to compliance — harnessing GRC engineering and AI to reduce manual effort and scale our programs. You will own Mattermost's compliance posture end to end, accountable for our federal readiness and commercial certifications, and you will modernize how we run them: automated, continuously monitored, and AI-native.
You will do the hands-on compliance work while coordinating across internal stakeholders in engineering, infrastructure, and IT who implement controls, the external auditors who assess them, and the customers whose trust rests on the outcome. As the program scales, you will grow and lead the team behind it.
What You'll Do
Own and modernize Mattermost's compliance programs across federal and commercial markets
Lead readiness, certification, and surveillance cycles across both programs
Operate the risk management program end to end — from identification and assessment through treatment and acceptance
Own the third-party and vendor risk management program, including security assessments and supply chain risk
Apply GRC engineering and automation to replace manual evidence collection with continuous controls monitoring
Build AI-native workflows to accelerate and improve the quality of recurring compliance work
Maintain the control library, system security plans, POA&Ms, and policies
Coordinate external audits from scoping through remediation
Accelerate deal cycles by owning customer security questionnaires, trust center content, and reusable compliance artifacts
Grow and lead the GRC team as the program scales
What We're Looking For
Bachelor's degree in computer science, information security, or related field — or significant professional GRC and compliance experience
Proven senior-level experience in governance, risk, and compliance, security compliance, or IT audit, including direct ownership of a certification or authorization program
Experience with U.S. Federal standards including CMMC and NIST series (800-171 / 800-53)
Experience with ISO 27001 and SOC 2 Type II
Experience operating a formal risk management program
Experience running a third-party and vendor risk management program
Experience owning customer-facing security assurance, including security questionnaires and trust center content
Working knowledge of security controls for cloud environments (AWS, GCP, and/or Azure)
Excellent written and verbal communication skills
Nice to Have
Professional GRC certifications such as CISA, CRISC, CISM, CISSP, or CIPP
Experience working with AI platforms such as Claude, OpenAI, or Gemini
Experience with compliance automation tooling such as Vanta or Drata, and continuous controls monitoring
Direct experience applying AI or LLM-based workflows to GRC tasks
Proficiency in no-code automation or scripting languages
Past success in critical infrastructure industries including defense, cybersecurity, communications, or manufacturing
How Success Is Measured
CMMC Level 2 gap assessment and readiness roadmap delivered within first 90 days
SOC 2 Type II and ISO 27001 audit cycles completed on time without slippage
Manual evidence collection replaced with automated, continuously monitored controls
Customer security questionnaires and trust center content maintained to unblock deal cycles
GRC team grown and operating as a scalable, program-driven function
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
AI-forward environment: We actively adopt and build AI-enabled workflows — you'll work with and on cutting-edge tooling
Unique scope: Own the compliance program end to end across both federal and commercial markets at a high-growth Series B company
Target Salary Range: $139,254-$168,318
Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan.
U.S. Eligibility & Compliance
This role requires U.S. citizenship. Candidates must be located in the United States and eligible to obtain and maintain a U.S. government security clearance. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Mechanical Engineer II on WHOOP’s Continuous Improvement Team, you will play a key role in designing product improvements at scale, sustaining high production yields, ensuring manufacturing stability based on customer feedback and evolving business needs. In this fast-paced, execution-driven environment, you will independently develop creative mechanical solutions while exercising strong technical judgment. You’ll collaborate with cross-functional teams across Electrical, Operations, Manufacturing, Supply Chain, and Quality to bring innovative concepts to life within the flagship product, supporting prototyping, design, and testing. You will also partner closely with global suppliers and contract manufacturers to execute validation builds, with a focus on high-quality deliverables, effective risk management, clear communication, and product excellence. This is a great opportunity for an engineer with a solid technical foundation to grow their skills in a dynamic, fast-paced environment impacting millions of members around the world. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
RESPONSIBILITIES:
- Own critical parts of current generation Whoop Hardware Products
- Design, prototype, and test complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release
- Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly
- Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline
- Communicate engineering requests and conduct DfM reviews to vendors and contract manufacturers as the product development cycle progresses
- Own and drive second sourcing initiatives for mechanical components and assemblies to diversify the supply base and reduce manufacturing risk
- Support planning and execution of verification and validation plans, leveraging design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability
- Perform root-cause analysis and implement design improvements for quality, reliability, and performance enhancements
- Collaborate with senior engineers to evaluate new technologies and manufacturing methods
- Up to 20% travel to contract manufacturers and suppliers internationally
QUALIFICATIONS:
- Bachelor’s degree in Mechanical Engineering or related field
- 3+ years of experience in the design of complex mechanical products, preferably for consumer electronics, wearables, or medical devices
- Experience with SolidWorks CAD best practices, including advanced assemblies, tolerance analysis, configuration management, and applying DFx/DfM feedback
- Familiarity with second sourcing, supplier qualification, and risk mitigation strategies in manufacturing
- Hands-on experience in operating and maintaining rapid prototyping tools to craft proof-of-concept models
- Strong communication skills and comfort working with cross-functional teams and external partners
- Experience in high-quality consumer electronics or wearable technologies preferred
- Familiarity with validation testing methods and statistical analysis tools preferred
- Experience with high-volume manufacturing processes (e.g., plastic injection molding, sheet metal design, metal injection molding), manual assembly, and complex testing fixture design preferred
- Working experience in a fast-paced or startup environment preferred
- A passion for health, or wearable technologies; and designing human-centered solutions in this space
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $110,000-$150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As the Director, Strategic Partnerships, you will own GitLab's relationships with its two major cloud infrastructure partners: AWS and Google Cloud. This is a single-threaded owner role, reporting to the VP, Corporate Development & Strategic Partnerships. You will shape partnership strategy from the top down and drive execution from the ground up, this is as much about running the weekly grind of a partnership as it is about setting its direction, turning strategic relationships into durable business outcomes.
You will own the commercial relationship end-to-end: managing GitLab's cloud infrastructure spend and consumption commitments, and leading renewal negotiations for enterprise agreements (e.g., EDPs, MACCs, or equivalent) before they come due. You will also own the technical and go-to-market side of each relationship: driving product integrations, shaping joint go-to-market strategy, and connecting GitLab's product roadmap and AI strategy to concrete partner initiatives. This is not a co-sell, channel, or revenue-through-partners role. Success here looks like disciplined commercial ownership, technical integration depth, and renewal outcomes that protect and grow GitLab's position, not partner-sourced pipeline or quota attainment.
This role sits close to GitLab's evolving AI strategy and the future of our AI-powered DevSecOps platform. You will develop a clear point of view, represent these partnerships with senior stakeholders, and personally drive the day-to-day work that spans multi-year planning and weekly execution, chasing down blockers, keeping workstreams on track, and doing the detailed follow-through yourself rather than delegating it.
What you'll do
Serve as the primary owner and point of contact for GitLab's cloud infrastructure partnerships with AWS and Google Cloud, personally accountable for the direction, operating rhythm, and outcomes of each.
Own the full commercial lifecycle of each relationship: negotiating rates and terms, tracking consumption against committed spend, and leading renewal negotiations well ahead of contract expiration.
Manage cloud infrastructure spend as a standing responsibility, partnering with Finance/FinOps on forecasting, true-ups, and cost optimization across both hyperscalers.
Drive product integrations with each partner, working directly with engineering and product management counterparts on both sides to identify, scope, and deliver joint technical initiatives.
Develop and lead joint go-to-market strategy for each partnership, connecting GitLab's business priorities, product roadmap, and AI strategy to concrete partner initiatives, and then own getting those plans executed.
Build strong working relationships across partner organizations, including executives, product management, engineering, sales, and marketing stakeholders.
Run a disciplined operating cadence across complex initiatives, with clear priorities, owners, timelines, coordination points, and follow-through you drive yourself.
Coordinate cross-functional work inside GitLab to support partnership goals, aligning teams across product, engineering, sales, marketing, finance, and the executive group.
Translate partner opportunities and requests into actionable internal plans, including roadmap discussions, integration needs, commercial terms, and executive recommendations.
Track and communicate measurable partnership outcomes such as spend efficiency, consumption trends, renewal terms secured, integration progress, and joint go-to-market execution.
Represent the partnerships at the executive level by preparing clear recommendations, briefing executives, and helping drive alignment on investments, trade-offs, and next steps.
What you'll bring
Significant experience owning strategic partnerships, alliance relationships, or vendor/commercial relationships in enterprise software, cloud, and/or AI, with a track record of being in the details, not just setting direction. This experience should reflect owning one or a small number of relationships in depth, not administering a large multi-partner channel ecosystem.
Direct experience managing enterprise cloud commercial agreements (e.g., EDP, MACC, or similar consumption/spend commitments) with at least one major hyperscaler, including experience owning a renewal cycle from expiration planning through negotiation and close.
Experience driving product or technical integrations with a cloud partner, and shaping joint go-to-market strategy that connects a product roadmap to partner initiatives.
Strong ownership mindset with the ability to operate as a single-threaded owner who is accountable for both strategy and execution, and comfortable doing the hands-on work personally rather than handing it off.
Excellent written and verbal communication skills, with the ability to distill complex commercial and partnership topics into clear recommendations for executives and cross-functional stakeholders.
Strong project and program management skills, including the ability to organize complex workstreams, prioritize effectively, and keep multiple initiatives moving through direct, hands-on management.
Genuine technical fluency in software development, platform integrations, and cloud infrastructure, with comfort engaging engineering and product counterparts in substantive conversations, not just positioning technology commercially.
Experience working with senior stakeholders on high-visibility initiatives, including preparing executive briefings, framing recommendations, and driving follow-through.
Ability to influence without formal authority, build strong working relationships across internal and external teams, and navigate multiple priorities with sound judgment.
Familiarity with the DevSecOps ecosystem and a results-oriented approach to measuring partnership impact through spend efficiency and business/product outcomes rather than partner-sourced revenue or quota attainment.
Preferred: candidates based in US Eastern or Central time zones, given close cross-functional coordination needs.
About the team
The Strategic Partnerships team owns the strategy and relationship management for some of GitLab's most consequential external partners, including the hyperscalers powering GitLab's infrastructure and future AI capabilities. We work across product, engineering, sales, marketing, finance, and the executive group to turn these partnerships into differentiated value for GitLab, manage our infrastructure investment responsibly, and ensure these relationships support our long-term platform strategy.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$168,000
—
$285,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
ОфисParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Офис
senior
География найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ОфисleadParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
leadBenefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
СтажёрParis; London; Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome; Location & work authorization: This internship is available only in France or the UK; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
San Francisco, CA
ГибридPalo Alto; New York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Canada (Remote)
United States (Remote)
Denver, Colorado, United States, AMER
United States
ОфисГеография найма не уточнена
УдалённоRemote, US; Preferred: candidates based in US Eastern or Central time zones, given close cross-functional coordination needs; The base salary range for this role’s listed level is currently for residents of the United States only
Все вакансии в одном месте - страница 154 · Job Hunters
