Principal Product Manager - Console

The posting, as Lambda wrote it

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 Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

The console is where every service Lambda sells meets the human user at the customer. It is the place where disparate products can come together to create a unified experience that solves a customer problem. Conversely, it is also the place where a cloud most easily becomes hard to use, because each service is built by a different team at a different time, and every one of them arrives with its own idea of what a resource is called, where it lives, who is allowed to touch it, and what a customer should do next. The customer does not experience a portfolio of services. They experience one product, and they judge us on whether it holds together.

This role owns that product. You own the console as a single surface, with one navigation model, one identity and permissions story, one set of interaction patterns, and one vocabulary, across On-Demand GPU Instances, reserved capacity, 1-Click Clusters, bare metal, storage, networking, Managed Kubernetes, billing, and support. Every service team ships into that surface, and the standards are yours to set. Your job is to make the whole thing feel like it was designed on purpose, which means writing the standards down, reviewing the work against them, and being the person who says no when a service wants to solve a problem in a way that only makes sense from inside that team.

Three very different people have to succeed here. A machine learning researcher wants a graphics processing unit (GPU) in minutes and should never have to learn cloud vocabulary to get one. An infrastructure engineer runs large clusters, lives in the application programming interface (API) and the command line, and needs the console to agree exactly with both. A platform engineer is building their own service on top of Lambda for their own users, and needs the console to make clear what their teams can see, spend, and change. The hard part of the role is that these three pull in different directions, and the surface cannot be quietly bent toward whichever one showed up in the last customer meeting.

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn't mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to
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ncluding conversion and activation work.

• Experience partnering closely with a front-end platform team on a component library, design tokens, or a shared application shell.
• Experience owning documentation or in-product guidance as part of the product rather than as a handoff.
• Experience with accessibility standards and with making an infrastructure product usable under them.
• Experience with a console that had to serve both a human and an automated caller, and opinions about what that costs.

Salary Range Information

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.

About Lambda

• 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

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.