Software Engineer, Voice AI Infrastructure
Nooks
Distributed Systems
Group Product Manager – AI Infrastructure
Lambda
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $314,000 - $523,000 per year
Job Level
SeniorLead
Tech Stack
CloudDistributed Systems
About the role
- Lead, mentor, and develop a high-performing team of Product Managers (ranging from PM to Principal PM).
- Define and own the long-term product vision and strategy for Lambda’s AI infrastructure offerings—including compute, storage, and networking.
- Oversee a portfolio of infrastructure products, including GPU clusters, high-performance storage, orchestration systems, and more.
- Ensure cross-product cohesion to deliver a seamless and integrated cloud experience.
- Collaborate with engineering, operations, and GTM teams to deliver performant, cost-effective, and scalable solutions.
- Engage deeply with AI-first customers to translate real-world workload needs (training, fine-tuning, inference) into clear product specifications.
- Track and anticipate industry trends in cloud infrastructure, AI workload optimization, and distributed systems.
- Drive product excellence and ensure success metrics (e.g., adoption, utilization, customer satisfaction) are met or exceeded.
Requirements
- Have 10+ years of product management experience, with at least 3+ years managing PMs.
- Bring deep expertise in AI infrastructure, cloud computing, or high-performance computing (HPC).
- Understand GPUs, distributed systems, and cloud platforms at a technical level.
- Possess strong leadership skills and a track record of building and scaling PM teams.
- Can craft and communicate product strategy across a portfolio and balance near-term wins with long-term bets.
- Thrive in cross-functional environments and excel at stakeholder alignment and communication.
- Experience with AI/ML workloads such as model training, inference, and fine-tuning (Nice to Have).
- Familiarity with hyperscaler or specialized AI cloud environments (Nice to Have).
- Advanced technical degree (e.g., Computer Science) and/or MBA (Nice to Have).
Benefits
- Health, dental, and vision coverage for you and your dependents
- Wellness and Commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible Paid Time Off Plan that we all actually use
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
product managementAI infrastructurecloud computinghigh-performance computingGPUsdistributed systemsAI/ML workloadsmodel traininginferencefine-tuning
Soft skills
leadershipteam buildingcommunicationstakeholder alignmentcross-functional collaborationstrategic thinkingmentoringproduct strategy craftingperformance trackingcustomer engagement
Certifications
advanced technical degreeMBA
