Job description

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 office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. As companies scale, the gap between what leadership needs to see and what teams can easily report grows — dashboards get built by hand, workflows stay stuck in spreadsheets, and requests for better tooling pile up faster than they get solved. This role exists to close that gap: turning manual reporting into trusted, self-serve data products, finding and fixing the workflows costing teams the most time, and helping make sure the highest-impact tooling requests actually get built. About This Role The Internal Tools & Data Product Analyst partners with business teams to find where manual work, inconsistent data, or missing tooling is slowing things down, and helps turn that into a shipped fix. This might mean defining what a metric actually means and getting a dashboard built around it, helping retire a spreadsheet-driven process that shouldn't exist anymore, or helping triage and prioritize a backlog of tool requests. Some of this gets shipped directly — lightweight builds, AI-assisted coding — and the rest gets scoped into a clear spec and handed to an engineering partner. What You’ll Do Data Products & Reporting - Partner with business stakeholders to help define what key metrics actually mean, and support getting agreement on a single trusted source for each one. - Contribute to requirements for turning manually-built, inconsistent reporting into live, self-serve dashboards suitable for execs — including how someone drills from a summary number into the underlying detail. - Help prioritize which reports or metrics get automated first, based on how manual, stale, or error-prone they are today. Workflow Automation - Identify manual, spreadsheet-driven work worth automating, and help see the fix through end to end. - Scope each fix and help decide what to build directly (lightweight scripting, no-code tools, AI-assisted coding) versus what needs a full engineering build. - Write clear, engineering-ready specs for anything handed off to a technical partner. - Identify and document places where an AI agent or automation could replace manual coordination, feeding the broader automation roadmap. Intake & Prioritization - Support the tool-request pipeline: help collect requests, triage them, and prioritize based on impact versus effort. - Help maintain a visible roadmap so stakeholders understand what's coming next and why. - Build relationships with the teams you support so priorities stay grounded in what they actually need. SUCCESS PROFILE Measures of Success Success is measured by: - Reduction in manual, spreadsheet-driven work across supported teams - Dashboard/reporting trust and adoption - A tool-request pipeline that is visible, current, and trusted by stakeholders - Time saved per reporting or workflow cycle You - Early-career product, business operations, analytics, or technical program management experience - Comfort working directly with data, spreadsheets, and lightweight tooling (SQL, no-code platforms, AI coding assistants) - Some exposure to designing a workflow or tool from the end user's point of view, not just the data behind it - A track record of shipping something — a tool, a process fix, an internal script — rather than only recommending one Core Competencies - End-user experience judgment: can tell the difference between a technically correct dashboard/tool and one people will actually use - Prioritization: can weigh impact against effort across a noisy backlog - Lightweight execution: comfortable using AI-assisted coding tools to ship small things directly - Cross-functional relationship building - Clear written communication (specs, roadmaps, requirements) 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: lambda.ai - 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.

Requirements

Must-haves

If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Data Products & Reporting
Partner with business stakeholders to help define what key metrics actually mean, and support getting agreement on a single trusted source for each one.
Contribute to requirements for turning manually-built, inconsistent reporting into live, self-serve dashboards suitable for execs — including how someone drills from a summary number into the underlying detail.
Help prioritize which reports or metrics get automated first, based on how manual, stale, or error-prone they are today.
Workflow Automation
Identify manual, spreadsheet-driven work worth automating, and help see the fix through end to end.
Scope each fix and help decide what to build directly (lightweight scripting, no-code tools, AI-assisted coding) versus what needs a full engineering build.
Write clear, engineering-ready specs for anything handed off to a technical partner.
Identify and document places where an AI agent or automation could replace manual coordination, feeding the broader automation roadmap.
Intake & Prioritization
Support the tool-request pipeline: help collect requests, triage them, and prioritize based on impact versus effort.
Help maintain a visible roadmap so stakeholders understand what's coming next and why.
Build relationships with the teams you support so priorities stay grounded in what they actually need.
Measures of Success
Reduction in manual, spreadsheet-driven work across supported teams
Dashboard/reporting trust and adoption
A tool-request pipeline that is visible, current, and trusted by stakeholders
Time saved per reporting or workflow cycle
Early-career product, business operations, analytics, or technical program management experience
Comfort working directly with data, spreadsheets, and lightweight tooling (SQL, no-code platforms, AI coding assistants)
Some exposure to designing a workflow or tool from the end user's point of view, not just the data behind it

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestsqlmachine learning

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Wellness