Executive Recruiter

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.

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  Lead end-to-end executive search processes for C-suite, VP, and senior director-level positions across all functions

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  Develop and execute comprehensive search strategies for critical leadership roles including Engineering, Product, Sales, Marketing, Operations, and Finance

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  Partner closely with founders, board members, and existing executives to define role requirements and ideal candidate profiles

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  Leverage extensive candidate networks within the cloud computing and AI industries

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  Proactively build relationships with top-tier executive talent through industry events, conferences, and strategic networking

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  Manage sophisticated interview processes involving multiple stakeholders and assessment methodologies

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  Ensure exceptional candidate experience that reflects our company values and competitive positioning

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  Develop compelling value propositions for executive candidates considering startup opportunities

• 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

• 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

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.

• 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

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

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.