Senior Product Manager

Festanstellung, Vollzeit · Germany Berlin, Barcelona, Spain

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

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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.

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