Technical Product Marketing Manager (AI Cloud)

Location: Hybrid in the San Francisco or San Jose office, with in-office presence required 4 days per week. The designated work-from-home day is Tuesday.

Salary: $180,000–$240,000 annual salary.

Company

Lambda builds AI cloud infrastructure for AI researchers, enterprises, hyperscalers, startups, and frontier labs.

What you will do

• Own positioning, messaging, audience segmentation, and use-case development for the Public Cloud portfolio.
• Translate training, fine-tuning, inference, and proof-of-concept workloads into sellable use cases mapped to customer segments and infrastructure requirements.
• Lead launches for product features, GPU instance types, APIs, and managed services from roadmap planning through post-launch analysis.
• Create technical content including solution briefs, datasheets, benchmark narratives, technical blogs, reference architectures, and API and CLI walkthroughs.
• Develop sales and solutions engineering enablement such as discovery frameworks, pitch materials, battlecards, technical training, and competitive narratives.
• Equip marketing teams with approved messaging, technical proof points, use cases, and launch materials.

Requirements

• 7+ years of experience in product marketing, technical marketing, product management, or a related field.
• Experience with cloud infrastructure, IaaS, managed services, or adjacent developer platforms.
• Demonstrated ownership of a technical product portfolio, including positioning, launches, competitive strategy, field enablement, and adoption.
• Deep knowledge of AI infrastructure, including GPU architectures, bare-metal and virtualized compute, cluster topology, InfiniBand, RDMA, Ethernet, storage, data movement, Kubernetes, Slurm, APIs, observability, reliability, and cloud security.
• Ability to produce technically rigorous content reviewed by engineering audiences.
• Strong written and verbal communication across engineering, infrastructure architecture, sales, and executive audiences.

Nice to have

• Experience deploying AI or HPC workloads through a cloud console, API, CLI, Kubernetes, or Slurm.
• Familiarity with CUDA, PyTorch, NCCL, distributed training frameworks, and MLPerf benchmarking.
• Experience marketing managed Kubernetes, managed Slurm, GPU cloud infrastructure, or MLOps offerings.
• Previous experience as a product manager, solutions architect, infrastructure engineer, developer advocate, or technical sales engineer.

Culture & Benefits

• Generous cash and equity compensation.
• Health, dental, and vision coverage for employees and dependents.
• Wellness and commuter stipends for select roles.
• 401(k) plan with a 2% company match for USA employees.
• Flexible paid time off plan.