Senior Product Manager

LinuxRecruit; München; On-site; EUR 90,000 - 140,000; Full time

Job summary

LinuxRecruit is seeking a product leader who owns a product end-to-end, guiding strategy beyond a backlog. On-site in Munich, you define direction, set trade-offs, and own adoption and revenue for your modules. Engineers ship with AI agents; you enable discovery and analytics, build small changes for learning, and run product ops with an expert quality bar.

German (C1+) and fluent English are required. Collaborate with manufacturers and senior buyers to ensure real impact.

Qualifications

• Track record of owning a product and delivering outcomes.
• B2B SaaS experience with complex workflows.
• Experience with AI-assisted discovery and rapid experiments.
• Ability to automate product ops and internal workflows.
• Strong design and UX judgment for data-heavy software.
• Stakeholder management with C-level and manufacturing buyers.
• On-site Munich work with German (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 fastest to learn, and put working software in front of users early.
• Run product operations and your own work AI-first: discovery synthesis, analytics, documentation and internal processes automated wherever possible.
• Set priorities and make 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.
• Hold the room with senior industrial buyers: be a credible expert in their domain.

Skills

Product ownership

B2B SaaS

AI-first development

UX design intuition

Stakeholder management

German (C1+)

Job description

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.