Senior Product Manager - Agentic AI product

Why Cast AI?

Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.

Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.

Headquartered in Miami, Florida, 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. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.

What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between.

About the role

The Problem: Current observability tools provide visibility into logs, metrics, and traces, but "stop short of action," leaving engineers to manually interpret data and resolve issues under time pressure.

The Solution: APA bridges the gap between insight and action by introducing agent-like intelligence that proactively identifies issues, takes informed action, and minimizes downtime. It integrates with OpenTelemetry stacks and leverages Kubernetes as its foundational platform.

It builds on real-time observability data from Cast AI products and handles the follow-up work that engineers normally perform manually, for example:

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Updating manifests or Dockerfiles when vulnerabilities are detected

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Syncing workload rightsizing recommendations into deployment manifests

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Proposing indexes or caching strategies for inefficient database queries

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Adjusting node templates to improve cluster efficiency

All actions are executed through runbooks - predefined automation workflows that create pull requests, apply configuration updates, or roll back if needed. APA's goal is to fully automate these improvements, reducing repetitive manual work.

The ambition: Rather than being a collection of point solutions, APA is envisioned as a platform where "the whole exceeds the sum of its parts," creating exponential value through intelligent, context-aware automation. Every vertical solution CAST AI develops will become a tool in APA's arsenal, empowering it to take decisive action across the entire software stack.

Requirements:

Required:

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Minimum of 3-5 years of experience as a Product Manager building B2B SaaS products

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Experience in public cloud offerings and Kubernetes - you should understand the DevOps/Platform Engineering workflow

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Strong engineering and hands-on mentality; ability to engage deeply with technical concepts, including AI agents, automation workflows, and observability

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Proven track record of taking products from 0-to-1 or early stage to product-market fit

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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

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Customer focus and hands-on experience gathering user feedback; strong spoken English required

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Familiarity with and willingness to work according to modern product management practices

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Self-starter mentality with ability to operate in ambiguous, fast-moving environments

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Data-driven approach to decision making with experience in establishing and using product metrics

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Education: Information Technology, Computer Science, or similar field

Strongly Preferred:

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Experience with AI/ML products or agentic systems

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Experience in leading technical products that primarily target engineering user persona

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Kubernetes certification (CKA, CKAD) or willingness to complete within first 6 months

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Experience working in product-led growth (PLG) environments

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Previous experience in early-stage or high-growth startups

Responsibilities:

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Own and drive the development of APA, taking it from early access through product-market fit to general availability

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Work directly with beta customers to validate runbook value, gather feedback, and iterate rapidly

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Define and execute the product roadmap for new runbooks based on customer pain points and market opportunities

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Collaborate with Engineering, UX, Database Optimizer, AI Enabler, and other product teams to deliver high-quality, integrated experiences

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Conduct user research interviews and demos to deeply understand customer needs and validate solutions

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Drive go-to-market activities, including customer case studies, sales enablement, and early access programs

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Work across organizational boundaries to ensure APA integrates seamlessly with existing Cast AI products

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Define and track product metrics to measure adoption, engagement, and value delivery

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Lead process improvements in the Product Management team and across the wider organization

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Champion the voice of the customer in all product decisions and technical discussions

What’s in it for you?

• 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.

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