Engineering Program Manager

Posted 13 Days Ago
Be an Early Applicant
3 Locations
In-Office
226K-377K Annually
Senior level
Software
The Role
The Engineering Program Manager will oversee project lifecycles for AI Cloud deployment, manage engineering teams, and ensure project delivery with effective communication and risk management.
Summary Generated by Built In

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/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

We are seeking an experienced, technical, and outcome-focused Engineering Project Manager to help our team deliver cutting-edge, scalable, and reliable AI Cloud. The ideal candidate will have a deep understanding of software development lifecycles, familiarity with product engineering technologies, and be an expert at application of project management methodologies. This role requires exceptional leadership skills, a passion for technology, and the ability to drive complex projects to successful completion in a fast-paced, dynamic environment.

What You’ll Do

  • Project Leadership: Guide a cross-functional team of engineers, fostering a culture of innovation, collaboration, and accountability.

  • Strategic Planning: Define project scope, goals, and deliverables in collaboration with engineering management and stakeholders. Develop comprehensive project plans, including timelines, resource allocation, and budget.

  • Execution and Delivery: Oversee the entire project lifecycle, from ideation to deployment. Ensure projects are delivered on time, within budget, and to the highest quality standards.

  • Technical Expertise: Possess a strong understanding of cloud platform technologies (e.g., AWS, Azure, GCP), containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and automation tools.

  • Risk Management: Proactively identify, assess, and mitigate project risks and issues. Develop contingency plans and communicate status to stakeholders.

  • Stakeholder Communication: Serve as the primary point of contact for all project-related communications. Provide regular updates to stakeholders, including executive leadership, on project progress, risks, and key milestones.

  • Process Improvement: Continuously evaluate and improve project management processes and tools to enhance team efficiency and effectiveness.

  • Collaboration: Work closely with cross-functional teams, including product management, operations, and security, to ensure alignment and successful project integration.

  • Customer Focus: Work closely with engineering management to scope customer requirements.

You

  • 10+ years of experience in the Software engineering industry with 7+ years performing a project management role, with a focus on software engineering and software infrastructure projects.

  • Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment.

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.

  • Proven track record of successfully leading and delivering complex technical projects.

  • Strong knowledge of Agile and Scrum methodologies.

  • Exceptional leadership, communication, and interpersonal skills using those skills to lead teams to ordered execution from a disorganized starting point.

  • Ability to thrive in a fast-paced, high-pressure environment and manage multiple projects simultaneously.

  • Impeccable writing and documentation skills.

  • Experience with project management software (e.g., Jira).

Nice to Have

  • Experience managing hybrid hardware deployment and software engineering projects.

  • Experience in a hyperscaler (CSP), neocloud provider (NCP), or high-performance computing (HPC) production environments.

  • Worked closely with product managers to deliver products to specification.

  • Deep understanding of infrastructure technologies and software development best 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

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Top Skills

AWS
Azure
Ci/Cd
Docker
GCP
JIRA
Kubernetes
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The Company
HQ: San Francisco, CA
106 Employees
Year Founded: 2012

What We Do

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.

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