Hammerhead AI
Product Manager - AI Infrastructure Platform
Redwood City
Sponsorship not specifiedDetected 86 days ago
Cloud PlatformsMachine LearningLLMsProduct ManagementProduct StrategyCustomer SuccessSystems EngineeringPower ElectronicsControlsCommunicationCollaboration
About the role
- Hammerhead's platform sits at the intersection of reinforcement learning, real-time control systems, and physical infrastructure.
- The PM for this product needs to think across all three - understanding how AI workloads behave, how power and cooling systems respond, and how data center operators make decisions.
Responsibilities
- Own the product roadmap for Hammerhead's orchestration platform - defining priorities across the RL engine, control interfaces, monitoring and observability, deployment tooling, and customer-facing dashboards.
- Work directly with the RL and software engineering teams to define technical specifications, manage tradeoffs between model performance and operational constraints, and drive sprint-level execution.
- Serve as the product voice in customer and partner engagements - joining technical discovery calls, deployment reviews, and pilot design sessions to deeply understand how operators interact with the platform.
- Build the product management function from scratch - establishing processes for requirements gathering, prioritization frameworks, release planning, and cross-functional coordination as the team scales.
- Build from 0 to 1.
- Collaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies
- Contribute to building a more efficient and sustainable future for AI compute
Requirements
- Strong understanding of how AI compute workloads are provisioned, deployed, and operated - including the tradeoffs between training and inference, on-demand vs. reserved capacity, and performance vs. cost optimization.
- Excellent communication skills: you can present a product roadmap to the CEO, walk through technical specs with an ML engineer, and demo the platform to a customer's VP of Infrastructure in the same day.
- 5+ years of product management experience in infrastructure, cloud platforms, or technical systems - with at least 2 years working on products that interface with physical infrastructure (data centers, energy systems, IoT/IIoT, or industrial controls).
- Experience building 0-to-1 products in a startup or high-growth environment. You are comfortable defining product strategy with incomplete information and building processes from scratch.
- Demonstrated ability to translate complex technical needs into clear product requirements, user stories, and priorities that engineering teams can build against with confidence.
- Experience working cross-functionally with engineering, design, customer-facing, and go-to-market teams - and managing diverse stakeholder needs across technical and business audiences.
- Building and shipping customer centric products, with an eye for industrial design
Nice to have
- Prior work with colocation operators, GPU cloud providers, or hyperscalers - understanding how these buyers evaluate and adopt infrastructure software.
Skills
- Daily, demonstrated active use of AI tools (LLMs, code assistants, automation) to enhance workflows and the product management function.
- Bachelor's degree in Engineering, Computer Science, or a related technical field.
- Experience with reinforcement learning, real-time control systems, or ML-driven optimization products.
- Background in data center operations, power systems engineering, energy markets, or grid-connected infrastructure.
- Familiarity with data center economics: power contracts, SLA structures, capacity planning, and operational cost models.
- Experience at a hyper-growth startup (Seed-Series B) in AI infrastructure, data center, or energy technology.
- MBA or Master's degree in Engineering, Computer Science, or a related discipline.
- Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.
- Comprehensive benefits. Medical, dental, and vision.
- On-site in Redwood City, CA. 5 days a week at HQ, with periodic travel to deployment sites.
Compensation
- Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment
Benefits
- Competitive pay + equity.
- Stock options let you share in the value you help create.
- Comprehensive benefits.
- Medical, dental, and vision.
Equal opportunity
- We are an equal opportunity employer and value diversity at our company.
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This listing is sourced directly from Hammerhead AI's careers page and normalized into a canonical job model.