
Senior Product Manager – Agentic AI product
Overview
Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.
Job Description
Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments.
Responsibilities
- - Own and drive the development of APA, taking it from early access through product-market fit to general availability
- - Work directly with beta customers to validate runbook value, gather feedback, and iterate rapidly
- - Define and execute the product roadmap for new runbooks based on customer pain points and market opportunities
- - Collaborate with Engineering, UX, Database Optimizer, AI Enabler, and other product teams to deliver high-quality, integrated experiences
- - Conduct user research interviews and demos to deeply understand customer needs and validate solutions
- - Drive go-to-market activities, including customer case studies, sales enablement, and early access programs
- - Work across organizational boundaries to ensure APA integrates seamlessly with existing Cast AI products
- - Define and track product metrics to measure adoption, engagement, and value delivery
- - Lead process improvements in the Product Management team and across the wider organization
- - Champion the voice of the customer in all product decisions and technical discussions
Required Skills
- - Minimum of 3-5 years of experience as a Product Manager building B2B SaaS products
- - Experience in public cloud offerings and Kubernetes – you should understand the DevOps/Platform Engineering workflow
- - Strong engineering and hands-on mentality; ability to engage deeply with technical concepts, including AI agents, automation workflows, and observability
- - Proven track record of taking products from 0-to-1 or early stage to product-market fit
- - Excellent writing skills – you must be able to communicate product features through formats like PR/FAQ or narrative documents that describe feature vision and customer experience
- - Customer focus and hands-on experience gathering user feedback; strong spoken English required
- - Familiarity with and willingness to work according to modern product management practices
- - Self-starter mentality with ability to operate in ambiguous, fast-moving environments
- - Data-driven approach to decision making with experience in establishing and using product metrics
- - Education: Information Technology, Computer Science, or similar field
- - Strongly Preferred: Experience with AI/ML products or agentic systems
- - Experience in leading technical products that primarily target engineering user persona
- - Kubernetes certification (CKA, CKAD) or willingness to complete within first 6 months
- - Experience working in product-led growth (PLG) environments
- - Previous experience in early-stage or high-growth startups
Benefits
- - Competitive salary (€8,000 – €10,400 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.
About the company
Cast AI is an autonomous Kubernetes platform that helps teams cut cloud costs, improve performance, and eliminate operational overhead by running Kubernetes on autopilot. Using intelligent agents that continuously optimize workloads, resource allocation, and scaling in real time, CAST AI automatically reduces waste, prevents downtime, and maximizes cluster efficiency—without manual tuning or tradeoffs between cost and reliability. Trusted by teams worldwide, CAST AI frees DevOps engineers from day-to-day infrastructure management so they can focus on shipping faster while spending less on cloud.
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