Principal Product Manager, Lambda

Orchestration

$300-385k

+ Equity

Kubernetes
Expert level
San Francisco Bay Area

Work from home on a Tuesday

4+ days a week in office

Lambda

Deep learning infrastructure company

Open for applications

Lambda

Deep learning infrastructure company

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Open for applications

$300-385k

+ Equity

Kubernetes
Expert level
San Francisco Bay Area

Work from home on a Tuesday

4+ days a week in office

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To accelerate human progress through computation.

Role

Who you are

  • You ship the right thing fast and own outcomes
  • You do whatever it takes to get the job done
  • You find crisp paths forward through uncertainty, ambiguity, constraints, and obstacles
  • You quickly identify what truly matters and make hard trade-offs without hesitation
  • Teams leave meetings with you energized, aligned, and fully clear on next steps
  • You thrive in high-stakes, fast-moving environments
  • You can mobilize teams from standstill to full-speed execution
  • 10+ years of PM experience, with 5+ years focused on developer-facing K8s services
  • You’ve taken a product from 0 to 1 and scaled it to commercial success
  • Your K8s knowledge runs so deep, engineers forget you're a PM
  • You stay plugged into the K8s community – you’re passionate, well-networked, and know where things are headed
  • Strong technical foundation (CS, Engineering, Math degree or equivalent experience)

What the job involves

  • As Principal Product Manager for our AI Orchestration Platform, you’ll define and execute the strategic vision for how our customers schedule, manage, and optimize AI workloads
  • You will collaborate deeply with engineering, sales, research, and senior leadership to innovate and deliver the platform that shapes how organizations train and deploy models at scale
  • Define, own, and execute the strategy for the Orchestration Platform layer of Lambda’s public cloud
  • Own revenue growth, profitability, adoption, and customer satisfaction
  • Drive execution across engineering, support, sale, marketing, and leadership
  • Stay ahead of the curve on trends in AI workload scheduling, distributed training, and inference
  • Engage deeply with AI developers to understand their workflows, pain points, and needs to shape the product

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Insights

Top investors

26% employee growth in 12 months

Company

Company benefits

  • 100% remote team
  • Healthcare, dental, vision, work-from-home Internet, and phone stipend.
  • Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
  • Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.

Funding (last 2 of 5 rounds)

Feb 2025

$480m

SERIES D

Feb 2024

$320m

SERIES C

Total funding: $863m

Our take

Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.

Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.

With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.

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Freddie

Company Specialist at Welcome to the Jungle