{"id":1151268,"url":"https://alion.io/job/lambda-developer-relations-enterprise-ai","title":"Developer Relations - Enterprise AI","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":188000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"AWS","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-23T15:54:19Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T07:38:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nIf you'd like to build the world's best AI cloud, join us.\n*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.\nWe’re hiring a technical practitioner to join Developer Relations and help enterprise teams understand how to deploy production AI workloads on Lambda.\nYou will turn deployment experience and work from Lambda’s technical teams into useful public resources. Your existing following and professional relationships will help that work reach enterprise AI practitioners who do not hear from Lambda today.\nWhat You’ll Do\nAudience and Distribution\nGrow Lambda’s reach among enterprise AI and infrastructure practitioners.\n\nUse your following and professional relationships to introduce Lambda to communities where it has limited presence.\n\nDevelop projects with practitioners, customers, or partners. Plan distribution through the channels their audiences already use.\n\nTechnical Education\nCreate technically sound material about deploying production AI workloads on Lambda.\n\nWork with MLE and engineering to turn field patterns into guides, demonstrations, or open-source examples.\n\nTeach the same ideas through talks and workshops. Use video when it suits the subject, and adapt strong work for more than one audience.\n\nField Feedback\nRepresent Lambda at conferences and on podcasts. Take part in relevant online communities.\n\nTrack the problems enterprise teams raise and share useful patterns with Lambda’s technical teams and go-to-market leaders.\n\nUse that evidence to help set Developer Relations priorities.\n\nYou\nExperience deploying and operating production AI workloads, ideally inside an enterprise.\n\nWorking knowledge of MLOps and observability, including the reliability and performance work required to keep AI systems running.\n\nAn understanding of how internal AI infrastructure supports applications and adoption across an organization.\n\nA record of writing or speaking clearly about AI deployment or infrastructure.\n\nAn established following or professional network among enterprise AI and infrastructure practitioners.\n\nExperience using collaborations and community relationships to increase the reach of technical work.\n\nThe ability to work effectively with technical teams as well as marketing and customer-facing groups.\n\nNice to Have\nExperience with on-premises AI infrastructure or internal AI programs used by dozens of people.\n\nFamiliarity with Lambda Cloud or 1-Click Clusters.\n\nExperience producing technical video, live demonstrations, workshops, or programs with external partners.\n\nWhat success looks like\nMore enterprise AI practitioners know and trust Lambda. Lambda is considered more often for production AI workloads.\n\nYour technical work is accurate and useful to teams making deployment decisions. Your following and collaborations give that work wider reach in the communities that matter to Lambda.\n\nFeedback from practitioners shapes Developer Relations priorities and gives Lambda’s product teams a clearer view of enterprise deployment needs.\n\nSalary Range Information\nThe 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.\nAbout Lambda\nFounded in 2012, with 500+ employees, and growing fast\n\nOur 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\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\nLambda 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.","description_format":"text","description_chars":4884,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology","AI Infrastructure","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-23T17:46:57Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":44,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/lambda-developer-relations-enterprise-ai","json_url":"https://alion.io/job/lambda-developer-relations-enterprise-ai.json","meta":{"generated_at":"2026-09-24T08:45:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}