Principal Product Manager - Console

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.

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.

Three very different people have to succeed here: a machine learning researcher who wants a graphics processing unit (GPU) in minutes, an infrastructure engineer who lives in the application programming interface (API) and the command line, and a platform engineer building their own service on top of Lambda for their own users. 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. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep experience owning a customer-facing console for a cloud or developer platform is highly desired.

Several of the standards this role depends on do not exist yet, so the first year includes writing them and building the design and front-end engineering partnership that keeps them alive. This is a role for someone who wants to establish the function, not inherit it.

We value diverse backgrounds, experiences, and skills. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.

What You'll Do:

• Own the Whole Surface: Hold the product definition for the console as one product, decide what belongs in it and what does not, rank and sequence the work, and be honest about what Lambda is not doing this year and why.
• Set the Patterns and Hold Them: Define the navigation, identity, permissions presentation, resource naming, states, errors, and empty screens that every service uses, and establish and run the review that console work passes before it ships.
• Keep the Console Honest With the API: Make sure the console, the API, the command line, and infrastructure as code describe the same resources with the same names and the same rules.
• Fix the First Hour, Then Serve the Expert: Own what happens between signing up and running a first workload, and keep the paths that operators and platform teams live in, like bulk actions, filtering, deep links, quotas, spend visibility, and access control, first class.
• Find the Real Problem: Get close to customers, support tickets, escalations, and session data, and work out what is actually blocking people rather than what they asked for.
• Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering and design build from them without a translation layer.
• Work as a Group: Partner with the product managers who own each service so their launches land inside your surface as one product.
• Land the Launch: Set launch criteria that include documentation, in-product guidance, support readiness, and accessibility, and get them met before the surface goes live.
• Measure and Iterate: Define success before you ship, then measure completion rates, time to first result, and support load rather than opinion.
• Make the Call Stick: Take a position on contested tradeoffs, write it down, and keep owning the decision after it is made.

You:

• Have 10+ years of product management experience, including owning a customer-facing console, dashboard, or developer surface for a cloud, infrastructure, or developer platform.
• Have shipped interaction patterns, a design system, or a surface standard that teams you did not manage adopted and kept using.
• Have taken a set of separately built product surfaces and made them behave like one product.
• Understand cloud infrastructure well enough to reason with engineers about identity, permissions, quotas, regions, capacity, telemetry, and billing.
• Understand access control models for organizations, teams, projects, roles, and API keys well enough to design how they are presented.
• Able to define iterative plans that move an organization from the current state towards the desired outcome.
• Have made one product serve both a first-time user and a daily operator without turning it into two products.
• Have used research and instrumentation to settle a disagreement about a user experience.
• Can turn ambiguous customer, technical, and commercial inputs into product definition that multiple teams execute against.
• Communicate plainly, write well, say no clearly, and make decisions easier for people who do not all share the same context.

Nice to Have:

• Experience with machine learning or data platform surfaces, like notebooks, training jobs, model endpoints, or experiment tracking.
• Experience with the self-serve funnel from signup to first paid usage, including 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.

Salary Range Information:

The annual salary range for this position has been set based on market data and other factors. Compensation ranges from $338K to $500K annually, depending on location (Bellevue: $338K - $450K; San Francisco: $375K - $500K). 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
• Investors include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, NVIDIA, Supermicro, and others
• Research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• Our values are publicly available at https://lambda.ai/careers
• Generous cash and 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

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.