Technical Product Marketing Manager - Public Cloud
Lambda Labs · San Jose Office (First St) · San Francisco Office (Second St)
Infrastructureremote$180k–$240k
At a glance
Highlights
- Own positioning and launches for Lambda's Public Cloud AI portfolio end to end.
- Translate training, fine-tuning and inference workloads into sellable use cases.
- Partner daily with product, engineering, sales and marketing to drive adoption.
What they offer
- Generous cash and equity compensation
- Health, dental, and vision coverage for you and dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match (USA)
- Flexible paid time off plan
Ideal candidate
A technically fluent storyteller who loves infrastructure and thrives at the intersection of product, engineering and sales, turning complex AI cloud tradeoffs into clear positioning that excites builders and buyers.
Requirements
- Explain how GPU architecture, interconnect, storage throughput, data movement, orchestration and consumption models affect training and inference
- Communicate infrastructure tradeoffs to ML engineers, enterprise architects, sales teams and executive buyers
- Hands-on deploying AI or HPC workloads using 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 or MLOps offerings
- Background as product manager, solutions architect, infrastructure engineer, developer advocate or sales engineer
- remote policy
- 4 days in office per week with work from home on Tuesdays
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada
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