C
CoreWeave
Staff Product Manager (Container Services)
Skills
Product ManagementMachine LearningAIKubernetesProduct ManagerMarket Research
2 months ago
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Important information
Contract type:
Permanent
Salary:
$207,000 – $275,000 / year
Location:
Sunnyvale, CA, USA
Work mode:
Onsite
Published on:
12 August 2026
What they need
- The core compute team builds and operates the compute infrastructure that underpins all the AI workloads running on CoreWeave
- We provide the compute services and abstractions that customers need to build and operate an increasingly diverse set of AI workloads, from training, to inference, agents, and sandboxes
- As Staff Product Manager for Container Services, you’ll be responsible for driving the roadmap and strategy for our flagship CoreWeave Kubernetes Service used by top AI frontier labs and enterprises, as well as building out more lightweight container-based solutions like Sandboxes for Agents and RL
- You will be working on a critical component of the compute stack to both evolve what already exists, and help define the next generation of container services for AI
- Lead the product strategy, roadmap, and execution for CoreWeave Kubernetes Service (CKS), as well as the broader portfolio of current and future container services within CoreWeave, including Sandboxes
- Partner with engineering, sales, finance, and marketing teams to ensure alignment on goals, product details, effective product launches, and seamless go-to-market execution
- Conduct in-depth market research and competitive analysis to identify current state, emerging trends, and opportunities for differentiation
- Partner with industry partners, marketing, and sales teams to develop and execute effective go-to-market strategies, including positioning, messaging, and competitive differentiation
- Define key metrics and establish robust reporting to monitor the performance of compute services, identify areas for improvement, and inform future decisions- Deep understanding of cloud compute workloads and frameworks, specifically Kubernetes and containers
- Excellent verbal and written communication skills with the ability to influence cross-functional teams and stakeholders
- 8+ years of professional experience, with at 5+ years in Product Management of cloud services or in the AI/ML market segment
- Proven ability to lead cross functional teams, with strong decision-making, project management, and mentoring skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. MBA or equivalent experience is a plus
- Ability to think strategically while being able to dive into technical details to guide engineering teams
- Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions
- Hands on experience with Kubernetes and familiarity with current trends in Kubernetes & Containers
- Good grasp of the financial/economic dimensions of operating cloud compute services
- Prior experience in a cloud computing context
- You’re curious about where the next product opportunity is, and where the AI market is going
- You’re an expert in the fundamentals of how computers work at scale, and the implications of distributed systems
- You love to build businesses as much as build products
- We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk
- This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
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