Director, Product Management

Runpod · Remote · Remote - USA ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Director level role
  • Fully remote team
  • AI & Cloud focus
  • Equity included
  • No visa sponsorship

Runpod is building the infrastructure for the next generation of AI developers, serving over one million users. As Director of Product Management, you will own the end-to-end lifecycle for core offerings including GPU pods and serverless inference.

You will partner with engineering and infrastructure leaders to ensure the platform remains fast, intuitive, and cost-effective. This position requires building and mentoring a high-performing product organization while driving strategic alignment across the company.

What you'll do

  • Define long-term product vision and short-term roadmap for the AI suite
  • Engage with ML engineers and customers to identify friction points
  • Hire and mentor product managers, designers, and technical writers
  • Align roadmaps with infrastructure and engineering leadership
  • Define pricing models for compute, storage, and serverless usage
  • Use analytics and churn data to prioritize the product backlog
  • Ensure console, CLI, APIs, and SDKs offer a seamless developer experience

What you'll need

  • 7+ years in product management with 3+ years in leadership
  • Experience managing PMs and designers in hyper-growth environments
  • Deep knowledge of cloud infrastructure, GPUs, and Kubernetes
  • Understanding of AI/ML workflows and developer-facing products
  • Ability to discuss backend architectures and distributed systems
  • Proven track record of shipping complex products successfully
  • Experience operating effectively in remote-first teams
  • Strong written and verbal communication skills
  • Must pass a background check

Nice to have

  • Experience launching MLOps or serverless inference products
  • Active presence in AI/ML or open-source developer communities
  • Previous background as a software or ML engineer

Stack

  • Kubernetes
  • GPUs
  • APIs
  • CLI
  • SDKs

How you'll work

  • Fully remote work policy
  • Slack used for internal communication
  • Collaborative inclusive team culture

What you get

  • Base salary between $225,000 and $325,000
  • Meaningful equity stock options for all employees
  • Generous medical, dental, and vision plans
  • Flexible paid time off policy
  • $1,200 stipend for home office and equipment