--- title: 'Executive Recruiter at Lambda' canonical: 'https://feeny.ai/job/executive-recruiter-lambda-san-francisco-8qpk8rg2m9ks' type: 'job' last_seen: '2026-09-06' --- # Executive Recruiter at Lambda - **Company:** Lambda - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-14 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/lambda/6f938d2d-0b79-4ca4-b28d-e4e84f5679be ## 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. The People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work. Reporting to our Head of Talent, we're looking for a seasoned Executive Recruiter who thrives in fast-paced, high-growth environments and has a proven track record of attracting world-class executive talent to technology companies. You will be instrumental in building our leadership team as we scale from startup to market leader. We're looking for someone who shares our passion for innovation and wants to play a pivotal role in assembling the leadership team that will drive our next phase of growth. This is a great opportunity to help shape the leadership team of a category-defining technology company ## What You’ll Do - Lead end-to-end executive search processes for C-suite, VP, and senior director-level positions across all functions - Develop and execute comprehensive search strategies for critical leadership roles including Engineering, Product, Sales, Marketing, Operations, and Finance - Partner closely with founders, board members, and existing executives to define role requirements and ideal candidate profiles - Leverage extensive candidate networks within the cloud computing and AI industries - Proactively build relationships with top-tier executive talent through industry events, conferences, and strategic networking - Manage sophisticated interview processes involving multiple stakeholders and assessment methodologies - Ensure exceptional candidate experience that reflects our company values and competitive positioning - Develop compelling value propositions for executive candidates considering startup opportunities You - 10+ years of executive search experience, with at least 4 years focused on technology sector roles - Proven track record of successfully placing C-suite and VP-level executives at high-growth technology companies - Deep understanding of semiconductor, GPU, AI/ML, or related hardware/software technology markets - Extensive network of relationships with executive talent in relevant industries - Experience working with venture-backed startups and understanding of startup dynamics - Bachelor's degree required; advanced degree preferred ## Nice to Have - Previous experience at top-tier executive search firms (Russell Reynolds, Korn Ferry, Heidrick & Struggles, etc.) - In-house recruiting experience at high-growth technology companies - Familiarity with cloud computing, AI infrastructure, or related technologies - Experience recruiting for companies that have scaled through rapid growth phases (Series A through IPO) - Established relationships with technology executives, particularly in Silicon Valley and other major tech hubs - Track record of recruiting diverse executive talent and building inclusive leadership teams 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. ## About Lambda ## Company Overview - **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories. - **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers) - **Headquarters**: San Francisco, California, USA - **Founded**: 2012 - **Founders**: Stephen Balaban and Michael Balaban ## Core Business - Primary industry: AI infrastructure / cloud computing for machine learning. - Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise). - Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”). ## Products & Services - **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including: - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing. - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team. - **1-Click Clusters™**: Rapidly deployable clusters for training and inference. - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects. - **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Total funding not publicly available; revenue not disclosed. - **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies. - **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA. ## Competitive Advantages - **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012. - **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation. - **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs. - **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.” - **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand). ## Strategic Focus - Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories. - Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production. - Expanding compliance and security capabilities for regulated industries. - Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering. ## Why Work Here - **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other. - **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged. - **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built. - **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site. - **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here). ## Sources 1. [lambda.ai/about](https://lambda.ai/about) 2. [lambda.ai/](https://lambda.ai/) 3. [lambda.ai/careers](https://lambda.ai/careers) 4. [lambda.ai/leadership](https://lambda.ai/leadership) ## Other roles at Lambda - [Staff Data Center Implementation Manager](https://feeny.ai/job/staff-data-center-implementation-manager-lambda-united-states-jyfexyg9by63) — United States - [Senior Manager, Detection and Response](https://feeny.ai/job/senior-manager-detection-and-response-lambda-bellevue-f6jvw1b07xwk) — Bellevue, WA - [Data Center Construction Site Foreman (Dallas)](https://feeny.ai/job/data-center-construction-site-foreman-dallas-lambda-united-states-vc7fg15nb275) — United States - [Construction Administrator](https://feeny.ai/job/construction-administrator-lambda-san-jose-ky6swv0mtr9v) — San Jose, CA - [Commodity Sourcing Manager – AI Infrastructure](https://feeny.ai/job/commodity-sourcing-manager-ai-infrastructure-lambda-san-jose-9zfy7qfg5bw5) — San Jose, CA - [Data Center Operations Systems Engineer (San Jose)](https://feeny.ai/job/data-center-operations-systems-engineer-san-jose-lambda-san-jose-qabp07hbyq33) — San Jose, CA - [Senior Software Engineer - Compute](https://feeny.ai/job/senior-software-engineer-compute-lambda-san-francisco-py5yr29fwf6a) — San Francisco, CA - [Senior Site Reliability Engineer - Fleet](https://feeny.ai/job/senior-site-reliability-engineer-fleet-lambda-san-francisco-33fy0znbk8rz) — San Francisco, CA - [Technical Account Manager](https://feeny.ai/job/technical-account-manager-lambda-san-francisco-9vfyd226yv92) — San Francisco, CA - [Technical Product Marketing Manager - Public Cloud](https://feeny.ai/job/technical-product-marketing-manager-public-cloud-lambda-san-jose-hcrgg2jy9v1d) — San Jose, CA