Employee Engagement Program Manager

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/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.We’ve built a lot of great resources for employees: onboarding guides, benefits pages, manager how-tos, and hiring FAQs. But we move faster than we document and maintain. We’re growing quickly. Things get out of date, hard to find, or inconsistent in tone. We need someone to own that problem end to end and make sure every piece of employee-facing content is accurate, easy to find, and sounds like it came from the same team.This isn’t a pure technical writing role, and it isn’t a traditional program management role either. It’s both. You’ll write, design, and edit, but you’ll also audit, organize, and measure. If you like bringing order to scattered information and quietly making everyone’s job a little easier (maybe even delightful), this is your gig.What You’ll DoAudit employee-facing pages, websites, FAQs, guides, and policies.Write and edit onboarding guides, templates, FAQs, and how-tos.Set consistent tone, voice, and format across content.Organize content so employees can find answers.Fix pages and processes when something isn't working.Track usage and feedback to see what’s working and what isn’t.Coordinate with HR, Talent, on shared content.What You’ll Bring3 to 5 years in writing, content, or program coordination.Strong, clear, creative writing and editing skills.Comfort building style guides and content standards.A sharp eye for content that’s outdated or hard to find.Comfort tracking metrics like page views, clicks, comments, reactions.Nice to have: experience with Notion, Confluence, Wikis.Why You’ll Love It HereYou’ll have a front-row seat to the growth of a company shaping the future of tech, and you’ll have a direct hand in making that growth possible. We value speed, tenacity, creativity, and being excellent to each other. You’ll be a part of the Employee Engagement team. Our goal is simple: to be the most helpful team at Lambda. If you want a seat where you can make a huge impact every day and turn chaos into clarity, this is it.Salary Range InformationThe 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 LambdaFounded in 2012, with 500+ employees, and growing fastOur 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 CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: We offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useEqual Opportunity EmployerLambda 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.Compensation Range: $135K - $180KLocationSan Francisco Office (Second St); Bellevue Office; San Jose Office (First St)Employment TypeFull timeLocation TypeHybridDepartmentG&ACompensation$135K – $180K