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.
Every GPU cloud provider claims to offer faster, cheaper, and more reliable solutions. ML engineers and decision-makers must sift through these promises to form a trustworthy opinion. Lambda fills the gap between claims and real outcomes.
You own the entire process, from strategy to production. Your audience may be a researcher testing a training run or an enterprise buyer building a procurement case, but you control the message. You set the standards, build the system, and define the quality.
What You’ll Do
Own the strategy and the roadmap. Map content to the full buyer journey, from awareness and education through evaluation and retention, against Lambda's growth, product, and brand goals.
Set and maintain the quality bar. Establish rigorous quality standards that empower the team to execute with excellence independently.
Run the production system. Intake, prioritization, drafting, review, and launch, at the cadence of product and model releases.
Shape how AI gets used in content production. Build the workflows and standards that let AI speed up the work without lowering the bar.
Own discovery. SEO and generative engine optimization (GEO) are how most people find us. Keyword research, content gap analysis, and on-page work are inputs to strategy, not a cleanup pass at the end.
Build the executive voice. Turn Lambda's narrative into thought leadership that holds up in front of ML engineers and data center operators.
Partner on launches. Work with technical product marketing and growth so every major launch and campaign is supported by a well-timed, end-to-end content program.
Own measurement. Traffic, engagement, pipeline influence, and content-assisted conversion, fed back into what the team makes next.
Build the team. Hire, develop, and shape the content org as it grows.
You
You have taste. You can't walk past a vague sentence or a case study that says nothing. You know the difference between content that's technically correct and content that's actually worth reading, and you can teach that difference to someone else.
You're deeply curious about AI. You follow model releases, read top papers, and understand why memory bandwidth matters to an ML engineer. You can tell when a technical claim is load-bearing and when it's decoration.
You have a point of view on AI-assisted content. You've produced work with these tools yourself, you know what to trust them with, and you have opinions about where they break down.
You've led a content function, not just a content calendar. You've managed and grown people, and you can point to content you shipped and results you can attribute to it.
You think in systems. You design content architectures, not individual pieces. You understand how a benchmark post, a technical guide, and a case study work together.
You balance strategy and execution. You can build a 12-month roadmap and then sit with a writer to get one hard piece over the line. Neither mode intimidates you.
You excel at cross-functional leadership. You work with technical product marketers, researchers, engineers, designers, and web marketers, and you synthesize all of it into one coherent editorial vision.
You're rigorous about measurement. You define what working means, instrument for it, and act on what you find.
Nice to Have
Experience writing or editing for ML practitioners, whether at an infrastructure company, a research lab, or a developer tools start-up.
Experience building AI-assisted production workflows for content or other creative work.
A track record building organic and generative search visibility in the AI space.
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.
Skills Required
- Experience leading a content function rather than only managing a content calendar
- Experience managing and developing people
- Ability to demonstrate content shipped and measurable results attributed to it
- Deep curiosity about AI, including model releases, research papers, and ML infrastructure concepts
- Ability to establish content quality standards and editorial systems
- Ability to design content architectures and full buyer-journey strategies
- Ability to balance long-term strategy with hands-on writing and editing
- Cross-functional leadership with technical marketers, researchers, engineers, designers, and web marketers
- Experience defining, measuring, and improving content performance metrics
- Experience writing or editing for machine learning practitioners
- Experience building AI-assisted content production workflows
- Track record of building organic and generative search visibility in the AI space
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
Lambda Insights
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
