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.
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
Benefits
Remote‑first setup with flexible hours & tech of your choice30 days vacation + extra days for family sick leaveStock options for every team memberMonthly sports & mental health support allowance with OlivaAnnual learning & development budgetMonthly team socials & in‑person meetupsDog‑friendly Berlin HQWhy 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.
Nice to have
Experience working with open‑source ecosystems or developer communitiesFamiliarity with LLMs, NLP, or retrieval‑augmented generation (RAG) systemsBackground in B2B enterprise sales, product‑led growth, or technical presalesExperience working with distributed, remote‑first engineering teamsWhat 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 valueCollaborate closely with Engineering, Solution Engineering, and Forward Deployed Engineering teams to deliver production‑ready solutions meeting enterprise standardsPartner with Sales, Marketing, and Customer Success to ensure strong product‑market fit and a seamless customer journey from first contact to scaleUse data and feedback loops (telemetry, win / loss insights, customer interviews, community signals) to inform prioritization and roadmap decisionsDefine success metrics for your domain and track them across releasesContribute to our internal Product OS : refining how we define, build, and launch productsShape our product culture around clarity, accountability, and value creation#J-18808-Ljbffr