{"id":11916,"url":"https://alion.io/job/lambda-account-cto","title":"Account CTO","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":84,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["San Francisco, United States","San Jose, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":271000,"max":425000,"currency":"USD","period":"year","gross":null,"usd_annual":425000},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"Fine-tuning","optional":false},{"name":"InfiniBand","optional":false},{"name":"LLM","optional":false},{"name":"AWS","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-03T19:41:41Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-29T01:59:08Z","board_verified":true,"closed_at":null,"days_open":147,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":146},"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.\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\nWhat You’ll Do\nStrategic Technology Leadership for Key Accounts\nServe as the primary technical liaison for Lambda's strategic Superintelligence accounts\n\nCultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor\n\nDrive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolio\n\nInfluence customer technology strategy and adoption at the executive level\n\nRepresent Lambda at executive briefings, board meetings, and strategic planning sessions\n\nOwn Technical Strategy and Business Outcomes\nPartner with Global Account teams to drive strategic account growth and expansion\n\nLead architectural reviews and technology assessments at the enterprise level\n\nDefine and articulate business value propositions, ROI models, and TCO analyses for executive stakeholders\n\nOrchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management\n\nOwn technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives\n\nDrive adoption of Lambda's strategic initiatives within key accounts\n\nTechnology Vision and Thought Leadership\nEstablish yourself as a trusted advisor on AI/ML transformation and cloud strategy\n\nGuide customers through digital transformation journeys and emerging technology adoption\n\nPublish thought leadership content, speak at industry events, and represent Lambda in executive forums\n\nInfluence Lambda's product strategy based on strategic customer needs and market trends\n\nMentor and develop technical talent across the organization\n\nYou\nHave 15+ years of experience designing, deploying and scaling cloud infrastructure\n\nHave 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities\n\nHave 5+ years driving cloud transformation initiatives at enterprise scale\n\nHave proven track record of influencing C-suite executives and board-level stakeholders\n\nHave deep expertise in AI/ML technologies and their business applications\n\nHave experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deployments\n\nHave experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions\n\nHave hands-on experience with LLM training, fine-tuning, and inference at scale\n\nHave experience with enterprise architecture frameworks and governance models\n\nHave experience managing or influencing deals worth $1B+ annually\n\nHave strong business acumen with ability to translate technology into business outcomes\n\nHave experience navigating complex organizational dynamics and driving consensus\n\nHave track record of building strategic partnerships and alliances\n\nExcel at executive communication, presentation, and storytelling\n\nDemonstrate thought leadership through publications, speaking engagements, or industry recognition\n\nNice to Have\nMBA or advanced degree in Computer Science, Engineering, or related technical field\n\nExperience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue\n\nTrack record working with AI labs, research institutions, or frontier model companies\n\nBoard advisory experience for technology companies\n\nPublished peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure\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. 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