Director, Product Management
RunPod is hiring a Director, Product Management for a remote role open to applicants in United States. It pays $225k-$325k a year and Level rates it ; you can apply on RunPod.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions Kubernetes, Docker and APIs among its tools and skills.
- Level classes it as a lead role.
- RunPod has 26 other open roles on Level.
AI in this role
Lead product vision, strategy, and the product organization for an AI developer cloud platform powering model training and inference.
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.
We’re looking for a Director, Product Management to define and execute the product vision for Runpod’s AI cloud platform. This role owns the end-to-end product lifecycle for our core offerings, including serverless endpoints, GPU instances (Pods), AI foundational services, developer APIs, and the overarching user experience. You will build and lead a high-performing product and design organization that intimately understands the needs of AI researchers, ML engineers, and developers.
You will partner tightly with Infrastructure, Engineering, and GTM leadership. Your focus is ensuring our platform remains the fastest, most intuitive, and most cost-effective path to training and running massive AI inference workloads in the cloud.
Responsibilities
Drive Product Vision & Strategy: Define the long-term vision and short-term roadmap for Runpod’s product suite. Anticipate the evolving needs of the AI/ML ecosystem and position Runpod as the premier infrastructure choice for AI builders.
Deep Customer Obsession: Act as the voice of the user. Spend significant time with ML engineers, AI startups, and enterprise customers to uncover friction points, gather requirements, and validate new feature concepts.
Build and Scale the Product Org: Hire, mentor, and grow a world-class team of product managers, UI/UX designers, and technical writers. Establish a culture of high standards, user empathy, and rapid iteration.
Cross-Functional Alignment: Partner seamlessly with the Director of Infrastructure and Director of Engineering to ensure roadmaps are technically feasible, highly reliable, and delivered on time. Translate complex infrastructure capabilities (like HPC networks and storage engines) into seamless developer experiences.
Pricing, Packaging, & GTM: Work closely with Marketing and Sales to define pricing models for compute, storage, and serverless usage that drive adoption while maintaining healthy margins. Guide product marketing on positioning and launch strategies.
Data-Driven Prioritization: Establish a rigorous, metrics-driven approach to product management. Leverage product analytics, churn data, and customer feedback to ruthless prioritize the backlog and maximize business impact.
Platform & Developer Experience (DX): Champion a world-class developer experience. Ensure our console, CLI, APIs, and SDKs are intuitive, well-documented, and reduce the time-to-value for new users to near zero.
Requirements
Product Leadership Experience: 7+ years of product management experience, with at least 3+ years in a leadership role managing other PMs and designers in a hyper-growth environment.
Cloud or AI/ML Domain Expertise: Deep experience building SaaS, PaaS, IaaS, or developer-facing products. You must have a strong understanding of cloud infrastructure, GPUs, container orchestration (Kubernetes), and AI/ML workflows.
Technical Fluency: Ability to engage deeply with engineering and infrastructure leaders. You don't need to write code, but you must understand modern backend architectures, API design, and the complexities of distributed systems.
Proven Delivery Record: Demonstrated ability to take complex, ambiguous problems and turn them into successful, shipped products that drive measurable business outcomes.
Remote-First Operating Excellence: Experience building culture, alignment, and momentum across distributed technical and commercial teams.
Communication & Storytelling: Exceptional written and verbal communication. Ability to articulate a compelling product vision to the board, the company, and the broader developer community.
Background Check: Successful completion of a background check.
Preferred Qualifications
Direct experience launching products specifically for ML Ops, model training, serverless inference, or LLM deployment.
A strong public presence or active engagement with the AI/ML and open-source developer communities.
Previous experience as a software engineer, ML engineer, or data scientist before transitioning to product management.
What You’ll Receive:
The competitive base pay for this position ranges from ($225,000 - $325,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location
Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
Generous medical, dental & vision plans
Flexible PTO- take the time you need to recharge
Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
$1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace
Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.
How we rate this
Director, Product Management at RunPod rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where gpu was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Product Management, AI Infrastructure, Cloud Computing, and GPU. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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