Senior Product Manager

TL;DR
We're hiring a Senior Product Manager to shape the future of our enterprise AI Platform — the foundation that helps organizations build, govern, and scale GenAI applications securely and effectively. You'll own a core product area, translate enterprise needs into actionable outcomes, and work closely with Engineering, Sales, and Leadership to drive measurable impact from prototype to production.

This role will stay open until
November 14th
, after which we'll review all applications carefully and fairly.

Please apply directly via our LinkedIn or careers page. We won't be reviewing external submissions, and as we're handling all hiring internally right now, no agency reach-outs, please.

Why deepset
At deepset, we're on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our enterprise-ready AI Platform helps companies turn large language models into business value. We're remote-first, flexible, and built on a culture of trust and ownership. You'll collaborate with top-tier tech talent, tackle meaningful challenges, and help transform complex AI into solutions that are simple, powerful, and ready for the real world.

What You Will Do

• Own a core product area within our AI Platform (e.g., Deployment, Governance, Observability, Evaluation, or Developer Experience)
• Translate complex enterprise needs into clear, measurable product outcomes that balance technical depth with customer value
• Collaborate closely with Engineering, Solution Engineering, and Forward Deployed Engineering teams to deliver production-ready solutions meeting enterprise standards
• Partner with Sales, Marketing, and Customer Success to ensure strong product-market fit and a seamless customer journey from first contact to scale
• Use data and feedback loops (telemetry, win/loss insights, customer interviews, community signals) to inform prioritization and roadmap decisions
• Define success metrics for your domain and track them across releases
• Contribute to our internal Product OS: refining how we define, build, and launch products
• Shape our product culture around clarity, accountability, and value creation

Requirements

• Proven experience as a Product Manager in a deep-tech, developer, or enterprise software environment (AI, MLOps, Data, or DevOps preferred)
• Strong technical foundation: comfortable discussing APIs, infrastructure, and architecture with engineers
• User-obsessed mindset: able to turn real customer problems into structured hypotheses and measurable outcomes
• Experience building SaaS or enterprise products where security, scalability, and performance are critical
• Skilled at operating in ambiguity and creating frameworks that bring clarity to complexity
• Excellent written and verbal communication skills: able to align cross-functional teams around a shared vision

Nice to have

• Experience working with open-source ecosystems or developer communities
• Familiarity with LLMs, NLP, or retrieval-augmented generation (RAG) systems
• Background in B2B enterprise sales, product-led growth, or technical presales
• Experience working with distributed, remote-first engineering teams

Benefits

• Remote-first setup with flexible hours & tech of your choice
• 30 days vacation + extra days for family sick leave
• Stock options for every team member
• Monthly sports & mental health support allowance with Oliva
• Annual learning & development budget
• Monthly team socials & in-person meetups
• Dog-friendly Berlin HQ

About Us
Founded in 2018, deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack, our open-source framework, to the deepset AI Platform, we give developers and organizations the building blocks to solve complex, high impact challenges with AI – with full control, transparency, and sovereignty. Backed by GV and Balderton, we're growing the world's production AI community and customer base solving challenges too critical to get wrong.

‍Visit us to learn more: deepset Website | Haystack Website | GitHub | Linkedin | X deepset (Twitter) | X haystack (Twitter)