LambdaではVP, Product Marketingを募集しています。AIクラウドインフラ分野で10年以上の経験を持ち、プロダクトマーケティングチームを率いてGo-to-Market戦略を策定できる方を求めています。データセンターおよびAIインフラに関する深い知識が必須です。サンフランシスコまたはサンノゼのオフィスへ週4日の出社が必要です。
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
As the VP of Product Marketing at Lambda, you build the programs that make Lambda the most credible name among AI cloud providers. You’ll define how Lambda’s products and infrastructure are positioned, launched, and understood. You will build the function that shapes how buyers, influencers, and investors understand the most important infrastructure buildout of our lifetime.
As the VP of Product Marketing at Lambda, you will:
Lead and develop the PMM team: Build the Product Marketing vision and assemble a team of deeply technical marketers. Create the conditions for rigorous thinking, sharp execution, and editorial quality.
Drive customer stories: Continuously grow Lambda’s pool of customer stories. Work with customers, sales, and content to tell stories that illustrate Lambda’s key selling points and real-world capabilities, as well as our customers’ breakthroughs.
Build technical credibility: Drive the production of the benchmarks, white papers, performance analyses, reliability reports, and more that build Lambda’s credibility in the market. Develop detailed messaging, positioning, and packaging by product.
Market data centers and infrastructure: Build the assets that help close and operationalize multi-billion-dollar deals.
Own product positioning and messaging: Develop and maintain differentiated positioning for Lambda’s full portfolio, from on-demand GPU instances to AI factories, that resonates with the corresponding ICPs.
Drive go-to-market strategy: Partner with product, engineering, growth, and sales leadership to plan and execute product launches end-to-end. Define the audience, message, channel mix, and success metrics.
Build the competitive intelligence program: Establish a systematic view of the cloud AI landscape. Translate that intelligence into actionable guidance.
Measure what matters: Define PMM KPIs across pipeline influence, win rates, share of voice, and product adoption. Use data to make the program smarter over time and to grow marketing’s contribution to revenue.
You’ve built product marketing programs at a GPU cloud, a specialized infrastructure company, an AI company, or a hyperscaler’s AI infrastructure division. You understand the difference between marketing to an ML engineer and marketing to an enterprise infrastructure buyer, and you know how to make both audiences believe. You’re ready to lead a team, run multiple interconnected programs at once, and influence around you to get the materials to make Lambda the most credible voice among AI cloud providers.
You know this market: You’ve spent meaningful time in GPU cloud, data center, or AI infrastructure. You understand why customers choose one provider over another, what makes a benchmark credible, and how data center capacity is bought and sold. You don’t need a primer on the landscape.
You’re a builder: You’ve stood up or significantly grown a PMM function before. You know how to build a team, identify what’s missing, and hire to close the gaps. You’ve hired, mentored, and grown product marketing professionals before. You give feedback that sticks, create clarity in ambiguous situations, and build cultures where people do their best work.
You think in programs, not projects: You don’t just ship individual pieces. You design repeatable systems in support of a vision: a cadence of customer stories, a pipeline of credibility assets, a playbook for data center enablement, that compound over time.
You balance strategy with execution: You know cloud infrastructure in depth. You can write a sharp positioning brief and then sit down with a TPMM to help them get a case study across the finish line. Neither mode is beneath you.
You run rigorous go-to-market processes: You’ve launched complex technical products before. You know what good launch planning looks like, what breaks without it, and how to hold cross-functional teams accountable to a timeline.
You lead with data: You track your outcomes and use that information to make better decisions.
Relevant experience: 10+ years in product marketing at B2B cloud, data center, cloud infrastructure, or AI companies, with 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.
Data center and infrastructure marketing: Direct experience marketing data center capacity, colocation services, or large-scale GPU clusters.
Content program management: Ability to run a high-cadence, multi-format content and credibility program.
People management: Experience building and leading PMM teams. You know how to set goals, give feedback, develop careers, and create an environment where people do their best work.
Go-to-market leadership: Track record owning GTM strategy for major product launches, including audience definition, messaging, channel planning, and post-launch measurement.
Cross-functional collaboration: Demonstrated ability to work closely with product, engineering, growth, sales, data center operations, and executive leadership to align on priorities and execute together.
AI infrastructure domain knowledge: in-depth understanding of training, inference, AI data center, and infrastructure.
The annual salary range for this position has been set based on market data and other factors. 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.
Founded in 2012, with 500+ employees, and growing fast
Our investors notably 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
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer 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 that we all actually use
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.
