Senior Product Manager

LinuxRecruit

Greater London

On-site

GBP 76,000 - 101,000

Full time

7 days ago
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Job summary

LinuxRecruit in Munich seeks an experienced Senior Product Manager to own product strategy and drive AI-enabled growth onsite. You set the direction, trade-offs, and own adoption and revenue for your modules, while engineers handle delivery with AI agents.

You’ll work closely with senior industrial buyers, craft framed problems with evidence, and lead discovery sessions in German and English. On-site role requiring German fluency and strong B2B SaaS know-how.

Qualifications

  • Proven track record owning a product with clear outcomes.
  • B2B SaaS experience with complex workflows.
  • Experience building with AI: prototypes, AI agents, discovery.
  • AI-first habit: automating product ops.
  • Strong design and UX judgment for dense, data-heavy software.
  • Stakeholder management with C-level and manufacturers.
  • German at native level (C1+) and fluent English.

Responsibilities

  • Develop the strategy for your part of the product: where it goes, why, and what it will not do.
  • Create a plan as guidance, and be ready to throw it away when experiments and customer learnings say so.
  • Build, not just decide: ship small changes yourself when that is the fastest way to learn, and put working software in front of users early.
  • Run product operations and your own work AI-first, including discovery synthesis, analytics, documentation and automated internal processes.
  • Set priorities and make hard calls, including scope or stop decisions.
  • Do discovery where the work happens: on site with teams at manufacturers.
  • Hold the room with senior industrial buyers: be a credible expert in their domain.

Skills

AI-first
B2B SaaS
Product ownership
UX judgement
Stakeholder management
German (C1+)
English fluency

Job description

Senior Product Manager / Permanent / Onsite Munich / Start ASAP

The role

You own a product, not a backlog. The platform is expanding beyond inside sales; you shape where it goes. You set the direction, make the trade-offs and own adoption and revenue for your modules. Engineers own delivery; they build with AI agents and ship in days. What they need from you is clarity: business impact, framed problems, data, trade-offs.

What you'll do
  • Develop the strategy for your part of the product: where it goes, why, and what it will not do.
  • Create a plan as guidance, and be ready to throw it away when experiments and customer learnings say so.
  • Build, not just decide: Instead of writing long specs, ship small changes yourself when that is the fastest way to learn, and put working software in front of users early.
  • Run product operations and your own work AI-first, not just the product: discovery synthesis, analytics, documentation and internal processes are automated wherever possible, with the quality bar of an expert. No AI slop.
  • Set priorities and make the hard calls, including scope or stop decisions.
  • Do discovery where the work happens: on site with teams at manufacturers. Bring back framed problems with evidence, not feature requests.
  • Hold the room with senior industrial buyers: be a credible expert in their domain, say no when needed and have them leave feeling heard.
What you must bring
  • A track record of owning a product: you set the direction, made the trade-offs and owned the outcome. Ideally 0 to 1 or 1 to 10, best case AI-first.
  • B2B SaaS experience with complex workflows: your users did a demanding daily job with your product.
  • You build with AI: prototypes, coding agents, AI in discovery and insight work. You are comfortable going into the codebase yourself (AI-assisted) to test an idea, read what is there or ship a small change.
  • AI-first as a habit: you automate your own product ops and internal work, and you can tell good AI output from plausible-looking junk.
  • Design and UX judgment for dense, data-heavy software.
  • Stakeholder management with C-level and demanding users at manufacturers, and the standing to be the expert in a room with 30 years of industry experience.
  • Munich on-site. German at native level (C1+) and fluent English; discovery and stakeholder sessions run in German.
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