Technical Program Manager - Network Operations Tools

$150k – $220k
Published: 3 weeks ago
Avatar for Lambda

Lambda

GPU compute built for deep learning. Computation as an accelerant for human progress
Company Size
51-200
Company Type
Early Stage
Artificial Intelligence
Enterprise Software Company
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Job Location

Job Type

Full Time

Visa Sponsorship

Not Available

Relocation

Allowed

Hiring contact

Jeri Villegas

The Role

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

*Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

We are seeking an experienced Senior Technical Program Manager to lead the development and implementation of integrated workflows and tools within the Infrastructure organization. This role requires a strategic thinker with exceptional technical acumen and leadership skills to drive cross-functional collaboration and deliver high-impact solutions. The successful candidate will be responsible for defining project objectives, establishing timelines, and coordinating resources to ensure the successful delivery of integrated workflows and tools that enhance operational efficiency and support business objectives.

Key Responsibilities:

  • Strategy Development: Collaborate with stakeholders to understand business needs and objectives, and develop a strategic roadmap for implementing new tools, building integrated workflows and optimizing existing flows.
  • Project Planning and Execution: Lead the planning, execution, and delivery of projects related to integrated workflows and tools, including defining project scope, objectives, milestones, and deliverables.
  • Cross-Functional Collaboration: Work closely with cross-functional teams including DataCenter Operations, DataCenter Capacity planning, Technical Support, Supply Chain and logistics, Manufacturing, to ensure alignment and collaboration throughout the project lifecycle.
  • Resource Management: Identify resource requirements, allocate tasks, and manage project resources effectively to ensure on-time delivery within budget constraints.
  • Risk Management: Identify risks and dependencies, develop mitigation strategies, and proactively address issues to minimize project risks and ensure successful delivery.
  • Quality Assurance: Establish quality standards and processes to ensure that integrated workflows and tools meet the highest standards of performance, reliability, and usability.
  • Stakeholder Communication: Provide regular updates to stakeholders on project progress, milestones, and risks, and facilitate decision-making to keep projects on track.
  • Continuous Improvement: Drive continuous improvement initiatives to optimize processes, tools, and workflows, and identify opportunities to enhance operational efficiency and effectiveness.

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 
  • Possess 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
  • Have a strong ability to humbly lead by influence and by example
  • Possess the knowledge and expertise to use various project management tools
  • Have the ability to drive work in environments with ambiguity and unknowns

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

About Lambda

  • We offer generous cash & equity compensation
  • Investors include Gradient Ventures, Google’s AI-focused venture fund
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Ourresearch papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • We have a wildly talented team of 200, and growing fast
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends
  • 401k Plan with 2% company match
  • Flexible Paid Time Off Plan that we all actually use

Salary Range Information

Based on market data and other factors, the salary range for this position is $150,000 - $220,000. 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.

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.

More about Lambda

Funding

AMOUNT RAISED
$24.5M
FUNDED OVER
1 round
Round
A
$24,500,000
Series A Jul 2021
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Founders

Michael Balaban
Founder • 3 years
image
Stephen Balaban
CEO • 3 years • 12 years
San Francisco
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Go to team image

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Lambda
GPU compute built for deep learning. Computation as an accelerant for human progress