> Markdown version of [/jobs/ext/2710708-product-manager-ai-infrastructure-platform](https://www.wearedevelopers.com/jobs/ext/2710708-product-manager-ai-infrastructure-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Product Manager - AI Infrastructure Platform

- **Company:** Hammerhead LLC
- **Location:** Redwood City, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Centers, Monitoring of Systems, Machine Learning, Software Engineering, AI Infrastructure, Reinforcement Learning, Large Language Models, Reliability of Systems, Information Technology, Process Control Systems
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/product-manager-ai-infrastructure-platform-hammerhead-ai-8301636

## About the Role

+ 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.
 + 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.
 + 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.
Preferred

 + Building and shipping customer centric products, with an eye for industrial design
 + 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.
 + Prior work with colocation operators, GPU cloud providers, or hyperscalers - understanding how these buyers evaluate and adopt infrastructure software.
 + 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.

## Description

We are seeking a Product Manager - AI Infrastructure Platform to own the product vision, roadmap, and execution for Hammerhead's orchestration platform. You will define what we build, why we build it, and how it reaches customers - translating deep technical understanding of data center power, cooling, and compute systems into product requirements that engineering can ship and customers can deploy.

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. You will work directly with our RL and software engineering teams, our deployment and customer success functions, and our GTM team to ensure the product delivers measurable value at every customer site., * 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.

 * Translate customer needs, deployment learnings, and market signals into clear, actionable product requirements that engineering can execute against with minimal ambiguity.
 * 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.
 * Define and track key product metrics: deployment success rates, time-to-value, system reliability, workload throughput, and customer satisfaction - using data to inform roadmap decisions.
 * Shape the product's technical positioning and messaging in collaboration with the GTM team - ensuring our value proposition resonates with both technical buyers and business stakeholders.
 * Build the product management function from scratch - establishing processes for requirements gathering, prioritization frameworks, release planning, and cross-functional coordination as the team scales.


## Related Videos

- [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential)
- [How to build a sovereign European AI compute infrastructure](https://www.wearedevelopers.com/videos/1102-how-to-build-a-sovereign-european-ai-compute-infrastructure)
- [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Why Your AI Tool Fails After the Demo](https://www.wearedevelopers.com/magazine/704-why-your-ai-tool-fails-after-the-demo)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)