senior software engineering Technical Program Manager ic 8+ yrs Hybrid · Posted Mar 3, 2026
$251,000 – $377,000
USD per year

About this role

Lambda is hiring a senior-level Technical Program Manager in the software engineering function based in San Francisco Office (hybrid). The posting calls out experience with Serverless, Machine Learning, Cloud Computing, Kubernetes and roughly 8+ years of relevant work. Compensation is listed at $251,000–$377,000 per year.

Role
Technical Program Manager
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
San Francisco Office
Work mode
Hybrid
Experience
8+ years
Department
Data Center Business
Posted
Mar 3, 2026
AI Summary
Lead large-scale software development programs for Lambda's AI cloud infrastructure platform. Manage scope, timelines, and stakeholder communication while engaging technically with engineers on architecture and design decisions. Requires 8+ years in technical program management with deep expertise in cloud infrastructure, AI/ML platforms, and distributed systems.

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Job description

from Lambda careers

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

  • Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.

  • Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.

  • Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.

  • Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.

  • Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.

  • Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.

    This is an excerpt. Read the full job description on Lambda careers →
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