Own a product area end-to-end
from discovery through delivery and adoption
working directly with enterprise customers, SEs, TAMs, and engineering to identify problems worth solving and ship solutions that matter.
Drive customer and market discovery through direct user engagement, Proof of Value cycles, competitive analysis, and close collaboration with the GTM team.
Use AI tools and LLMs actively in your daily workflow
for discovery synthesis, spec drafting, competitive research, customer interview summarization, and pattern recognition across data.
Define and track product metrics that reflect real customer outcomes, using tools like PostHog and control-plane usage data to inform prioritization and validate decisions.
Write clear, structured product narratives
PR/FAQs, one-pagers, feature briefs
that align engineering, design, and stakeholders around a shared understanding of what we're building and why.
Work across organizational boundaries
with product, engineering, design, sales, and support
to drive prioritization decisions and unblock execution.
Identify and lead process improvements in the Product Management team and contribute to raising the bar across the wider organization.

Proven experience owning B2B software products in a cloud-native environment with strong Kubernetes domain knowledge
you understand node lifecycle, autoscaling, and cloud infrastructure economics, not just the PM layer on top of them.
Kubernetes certification (CKA preferred)
you either already hold it or will complete it within your first 6 months.
Demonstrated use of AI tools
LLMs, coding assistants, or agentic workflows
to accelerate product work. You don't need to ship code, but you should already be using AI to reduce cycle time on research, documentation, and decision-making.
Hands-on experience defining and tracking product metrics in B2B SaaS contexts, with the ability to move from raw data to actionable insight.
Excellent writing skills
you can communicate complex technical capabilities through formats like PR/FAQ that make the value clear to both technical and business audiences.
Direct enterprise customer experience
comfortable running discovery interviews and translating ambiguous customer feedback into crisp product requirements.
Familiarity with modern product management practices and a bias toward outcome-driven, evidence-based decision making.
Education: Computer Science, Information Technology, or equivalent practical experience in a technical domain.

Competitive salary (€6000
€8000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development
including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.

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