2 дня назад
Product Manager (Kubernetes)
5 000 - 8 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (Kubernetes): Driving cloud-native and AI infrastructure products from discovery through delivery and adoption with an accent on enterprise customer discovery, Kubernetes expertise, and outcome-driven product metrics. Focus on using AI tools for product research and synthesis, translating customer feedback into requirements, and aligning engineering, design, sales, and support around complex infrastructure solutions.
Location: Remote-first role for candidates residing in Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, or Ukraine.
Salary: €5,000–€8,000 gross per month, depending on experience.
Company
provides an automation platform for cloud-native and AI infrastructure, using autonomous decision-making to optimize Kubernetes environments at scale.
What you will do
- Own a product area from discovery through delivery and adoption for Storage Optimization, Reporting, OMNI, or Workload Autoscaler.
- Lead enterprise customer and market discovery, including user interviews, Proof of Value cycles, competitive analysis, and collaboration with the go-to-market team.
- Use LLMs and other AI tools for discovery synthesis, product specifications, competitive research, interview summaries, and data pattern recognition.
- Define and track product metrics using PostHog and control-plane usage data to guide prioritization and validate decisions.
- Write PR/FAQs, one-pagers, and feature briefs that align engineering, design, and business stakeholders.
- Drive prioritization, execution, and product-management process improvements across product, engineering, design, sales, and support.
Requirements
- Experience owning B2B software products in cloud-native environments with strong Kubernetes knowledge, including node lifecycle, autoscaling, and cloud infrastructure economics.
- Kubernetes certification, preferably CKA, or willingness to complete it within the first six months.
- Demonstrated daily use of AI tools such as LLMs, coding assistants, or agentic workflows to accelerate product work.
- Experience defining and tracking product metrics in B2B SaaS and converting data into actionable insights.
- Strong technical writing skills and direct enterprise customer experience, including discovery interviews and requirements definition.
- Education in Computer Science, Information Technology, or equivalent practical technical experience.
Culture & Benefits
- Flexible, remote-first environment with a distributed team across Europe, North America, Latin America, and APAC.
- Equity options and competitive compensation.
- Ten percent of work time dedicated to personal projects or self-improvement.
- Learning budget covering professional development, international conferences, and courses.
- Equipment budget, extra days off, team-building budget, company events, and an annual hackathon.
- Final-stage background check may be conducted through Checkr; visa sponsorship and work-permit support are not provided.
Hiring process
- A background check may be conducted at the final stage through a third-party provider.
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