8+ years in technical program leadership or engineering management, specifically in cloud services.
Strong understanding of software delivery, infrastructure architecture, and distributed systems.
Experience with GPU infrastructure, machine learning platforms, or orchestration systems like Kubernetes.
Ability to lead teams through ambiguity and competing priorities without direct authority.
Excellent communication skills for conveying technical issues to both engineers and senior stakeholders.
Proficient in using delivery methods and planning tools to enhance execution.
Responsibilities
Own complex programs from planning to rollout, ensuring accountability for schedule and quality.
Translate product priorities and engineering strategies into actionable execution plans.
Collaborate with engineers on architecture and implementation, highlighting dependencies and risks early.
Coordinate cross-functional launches, ensuring alignment on readiness and customer impact.
Establish a practical delivery cadence connecting roadmap planning and operational handoffs.
Provide teams and leadership with visibility into progress, decisions, and blockers, driving timely escalations.
Define success measures for launches and utilize post-launch reviews for continuous improvement.
Benefits
Generous cash and equity compensation.
Health, dental, and vision coverage for employees and dependents.
Wellness and commuter stipends for select roles.
401k Plan with a 2% company match for U.S. employees.
Flexible paid time off plan that is actively encouraged for use.
Full Job Description
*Note: This position requires presence in our San Jose, San Francisco, or Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
What You'll Do
Own complex programs from planning through rollout, delivering Lambda Public Cloud roadmap commitments with clear accountability for schedule and quality.
Turn product priorities and engineering strategy into execution plans with defined outcomes, milestones, owners, and decision points.
Partner with engineers on architecture, implementation estimates, and sequencing; make dependencies, risks, and delivery tradeoffs visible early.
Coordinate launches across compute, networking, storage, and the cloud control plane, aligning Engineering, Product, Infrastructure, SRE, Security, and Support on readiness and customer impact.
Build a practical delivery cadence that connects roadmap planning, capacity availability, testing, release gates, rollout plans, and operational handoffs.
Give teams and leadership a shared view of progress, decisions, and blockers. Drive timely escalation, resolve cross-team dependencies, and follow through on commitments.
Define launch success measures for service availability, provisioning, performance, and customer experience; use post-launch reviews to improve future delivery.
You
Bring at least 8 years in technical program leadership or engineering management, with a record of shipping complex cloud services.
Understand software delivery, infrastructure architecture, and distributed systems well enough to assess implementation choices and challenge assumptions with engineers.
Have worked with GPU infrastructure, machine learning platforms, or orchestration systems such as Kubernetes.
Can independently lead several teams through ambiguous requirements, competing priorities, and delivery risks, influencing decisions without direct authority.
Communicate technical issues and business consequences clearly, adapting the detail for engineering teams and senior stakeholders.
Use delivery methods and planning tools effectively, choosing processes that improve execution and ownership.
Nice to Have
Experience launching customer-facing infrastructure services, including APIs, tenant isolation, access controls, metering, or billing.
Familiarity with GPU capacity planning, fleet lifecycle, cloud service reliability, and production incident follow-up.
Experience helping a growing organization establish repeatable planning and delivery practices.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
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
About Lambda
Lambda is an online education company that offers courses in computer science and software engineering. The company was founded in 2017 by Austen Allred and Ben Nelson. Lambda's courses are designed to be accessible to anyone, regardless of their background or prior experience. The company's mission is to provide high-quality education that leads to well-paying jobs in the tech industry. Lambda has partnerships with a number of companies, including Amazon, Google, and Microsoft, and has helped thousands of students launch careers in tech.
