Senior Technical Program Manager

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. 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.  What You’ll Do  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 all phases of the program(s) from conceptualization through completion, including acquisition, planning, and managing technical performance to ensure quality, business, and financial objectives are attained Lead cross functional technical team and diverse support team from a matrixed organization to meet program requirements Participate with engineering to establish design concepts, criteria, and engineering efforts for product research, development, testing, and integration Ensure technical leadership and excellence is maintained by participating in the planning, attraction, selection, retention, and development of the required management, professional, and technical talent Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues Act as the primary customer contact for program activities, lead customer program reviews to include cost, schedule, and technical performance Contribute to the development of new business opportunities and expansion of existing business opportunities You  10+ years of experience in program/project management for complex product development programs  Thorough understanding of agile and waterfall management techniques  Technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience. Excellent leadership, organization, and communication skills Strong communication skills and business acumen. Must be able to judge situations with regard to the larger business picture as well as the immediate need. Must be able to structure internal and external communication accordingly 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 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 Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG We have a wildly talented team of 130, and growing fast Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco Health, dental, and vision coverage for you and your dependents Commuter/Work from home stipends 401k Plan 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 - $205,000. 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.