logo inner

Technical Program Manager - Dallas

LambdaDallas, Texas, United StatesOnsite

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our Dallas Data Center location 5 days per week.

What You’ll Do 


  • Manage large scale deployments of GPU clusters in datacenter colocation around the country 
  • Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements 
  • Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks.
  • Proactively manage dependencies and anticipate/resolve execution issues
  • Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs
  • Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones 
  • Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues
  • Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies 
  • Contribute to the development of new business opportunities and expansion of existing business opportunities

You 


  • Have 7+ years of experience in program/project management for complex product development programs 
  • Have a thorough understanding of agile and waterfall management techniques 
  • Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience
  • Have excellent leadership and organizational skills
  • Are a strong communicator, able to structure internal and external communication 
  • Strong ability to humbly lead by influence and by example
  • Knowledge and expertise using various project management tools
  • Comfort with ambiguity, and ability to create structure where needed 

Nice to Have 


  • Experience in the machine learning or computer hardware industry
  • Demonstrated successful experience including working in a manufacturing environment with complex systems integration
  • Experience with large-scale distributed data center environments

Salary Range Information 


Based on market data and other factors, the annual salary range for this position is $147,000-$211,000. 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, ~350 employees (2024) and growing fast
  • We offer generous cash & equity compensation
  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home 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.Compensation Range: $147K - $211K

Life at Lambda

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. Our customers include Apple, MIT, Los Alamos National Lab, Microsoft, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
Thrive Here & What We Value- Generous cash & equity compensation- Investors include Gradient Ventures, Google’s AIfocused venture fund- Experiencing high demand for systems with quarter over quarter, year over year profitability- Wildly talented team of 300, and growing fast- Health, dental, and vision coverage for you and your dependents- Commuter/Work from home stipends for select roles- Flexible Paid Time Off Plan that we all actually use- Equal Opportunity Employer

Related Sub

This job belongs to these sub. Explore related roles here:
Product manager jobs
Your tracker settings

We use cookies and similar methods to recognize visitors and remember their preferences. We also use them to measure ad campaign effectiveness, target ads and analyze site traffic. To learn more about these methods, including how to disable them, view our Cookie Policy or Privacy Policy.

By tapping `Accept`, you consent to the use of these methods by us and third parties. You can always change your tracker preferences by visiting our Cookie Policy.

logo innerThatStartupJob
Discover the best startup and their job positions, all in one place.
Copyright © 2025