Product Manager - NVIDIA Solutions

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.  *Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 5 days per week. We are seeking an experienced Product Manager to spearhead the development and delivery of comprehensive AI offerings based on NVIDIA DGX BasePOD and SuperPOD. You will play a key role in driving the growth and success of this exciting product line. You will be responsible for the entire product lifecycle, from market research and product development to launch and ongoing product growth. What You’ll Do Lead Lambda’s product and go-to-market strategy for NVIDIA DGX BasePOD and SuperPOD solutions, defining target markets, key features, and pricing Develop and oversee the product roadmap, establishing priorities that align with business objectives Craft comprehensive solutions encompassing infrastructure, software, support services, financing, hosting, and lifecycle management Conduct market research and competitive analyses to identify opportunities for product differentiation and innovation Create and manage product marketing materials, including launch campaigns, product briefs, and white papers Collaborate with system architects, engineers, data center operations, sales, and support teams to design solutions and ensure smooth coordination throughout design, launch, and customer adoption Define and track key product metrics and KPIs to evaluate product performance and make data-driven recommendations for continuous improvement Stay informed about the latest industry trends and technologies, identifying opportunities to enhance product offerings You Bachelor’s degree in computer science, electrical engineering, or a related technical field Minimum 8 years of technology product management experience Proven success in launching and managing technology products Strong understanding of AI and Machine Learning technologies and applications Excellent communication, collaboration, and problem-solving skills Ability to work independently and as part of a team Strong analytical and data-driven decision-making skills Nice to Have Experience in the enterprise segment with direct customer engagement Experience with machine learning, deep learning, or GPU architectures Experience with IT Infrastructure and familiarity with HPC and data center markets Familiarity with key business systems such as NetSuite, Salesforce, Jira, etc. Situational awareness in customer engagements, employing diplomacy and tact 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 150, and growing fast 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 $175,000-$240,000. 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.