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About the Role
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. Join us to build the world's best AI cloud.
Responsibilities
- Lead and develop the PMM team, building the Product Marketing vision and assembling a team of technical marketers.
- Drive the production of benchmarks, white papers, performance analyses, and reliability reports to build market credibility.
- Develop detailed messaging, positioning, and packaging by product.
- Build assets to help close and operationalize multi-billion-dollar deals for data centers and infrastructure.
- Develop and maintain differentiated positioning for Lambda’s full portfolio.
- Partner with product, engineering, growth, and sales leadership to plan and execute product launches end-to-end.
- Define audience, message, channel mix, and success metrics for go-to-market strategy.
- Establish a systematic view of the cloud AI landscape and translate intelligence into actionable guidance.
- Define PMM KPIs across pipeline influence, win rates, share of voice, and product adoption.
- Use data to make the program smarter over time and grow marketing’s contribution to revenue.
- Continuously grow Lambda’s pool of customer stories, working with customers, sales, and content to illustrate key selling points and customer breakthroughs.
Requirements
- Built product marketing programs at a GPU cloud, specialized infrastructure company, AI company, or hyperscaler's AI infrastructure division.
- Understand the difference between marketing to an ML engineer and an enterprise infrastructure buyer.
- Ready to lead a team, run multiple interconnected programs, and influence stakeholders.
- Spent meaningful time in GPU cloud, data center, or AI infrastructure.
- Understand why customers choose one provider over another, what makes a benchmark credible, and how data center capacity is bought and sold.
- Stood up or significantly grown a PMM function before.
- Know how to build a team, identify gaps, and hire to close them.
- Hired, mentored, and grown product marketing professionals.
- Give feedback that sticks, create clarity in ambiguous situations, and build cultures where people do their best work.
- Design repeatable systems in support of a vision, such as a cadence of customer stories, a pipeline of credibility assets, or a playbook for data center enablement.
- Know cloud infrastructure in depth.
- Can write a sharp positioning brief and help a TPMM get a case study across the finish line.
- Launched complex technical products before.
- Know what good launch planning looks like and how to hold cross-functional teams accountable.
- Track outcomes and use information to make better decisions.
Skills
- 10+ years in product marketing at B2B cloud, data center, cloud infrastructure, or AI companies.
- Demonstrated impact on pipeline, win rates, or market perception.
- Experience at a specialized GPU cloud provider or a hyperscaler’s AI infrastructure division is strongly preferred.
- Direct experience marketing data center capacity, colocation services, or large-scale GPU clusters.
- Ability to run a high-cadence, multi-format content and credibility program.
- Experience building and leading PMM teams.
- Track record owning GTM strategy for major product launches.
- Demonstrated ability to work closely with product, engineering, growth, sales, data center operations, and executive leadership.
- In-depth understanding of training, inference, AI data center, and infrastructure.
Location
- San Francisco, CA
- San Jose, CA
Work Type
- Hybrid
Experience Level
- 10+ years
Benefits
- 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
About the Company
- Founded in 2012, with 500+ employees, and growing fast.
- Investors 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.
- Research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
- Values are publicly available: https://lambda.ai/careers
Equal Opportunity
- 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.