Senior Technical 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 or Bellevue 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.

We're seeking a strategic, results-driven Senior Technical Recruiter to build world-class teams for our rapidly scaling AI cloud infrastructure startup. As a Senior Recruiter, you'll join our lean, high-impact team and drive hiring across critical cloud engineering roles, distributed systems architects, and AI infrastructure specialists. You'll own the complete recruiting lifecycle while serving as a strategic partner to our leadership team as we scale our cloud platform to serve the next generation of AI applications.

What You’ll Do

• Lead end-to-end recruiting for our hyper-growth AI cloud infrastructure startup, prioritizing exceptional hiring manager partnerships and candidate experiences that reflect our engineering-first culture

• Source, screen, and evaluate top-tier talent across cloud infrastructure, distributed systems, DevOps/SRE and infrastructure engineering (high performance computing, networking, storage, orchestration) roles

• Partner with engineering leadership and founders to develop and execute aggressive hiring strategies including competitive intelligence, talent mapping, and analysis of the cloud infrastructure market

• Navigate complex technical interviews and guide decision-making processes across our distributed team of interviewers and hiring managers

• Leverage recruiting analytics and market insights to optimize hiring velocity, quality, and conversion rates in the competitive cloud infrastructure talent market

• Build and maintain recruiting dashboards and performance metrics that support our rapid platform scaling objectives

• Drive continuous innovation in our recruiting process, candidate experience, and employer branding to compete for the best cloud infrastructure talent globally

You

• Have 8+ years of full-cycle technical recruiting experience, preferably with high-growth startups or competitive tech companies (sourcing, screening, closing top-tier candidates)

• Prior experience recruiting at a high growth start-up or at an agency servicing similar companies

• Excel at evaluating candidates for both cultural alignment and deep technical competencies, particularly in cloud infrastructure, distributed systems, and infrastructure workload optimization

• Demonstrate genuine passion for cloud technologies, distributed systems, and AI infrastructure with the ability to quickly understand complex technical requirements and scalability challenges

• Master advanced sourcing techniques across LinkedIn Recruiter, Linkedin Talent Insights, GitHub, cloud engineering communities, open-source projects, and specialized infrastructure platforms

• Have extensive experience with modern ATS platforms and recruiting analytics tools to drive data-informed hiring decisions

• Thrive in fast-paced, ambiguous startup environments where priorities shift rapidly and scrappy execution is essential

Nice to Have

• Direct experience recruiting for cloud infrastructure startups, platform engineering teams, or Big Tech cloud divisions

• Deep understanding of the cloud infrastructure ecosystem, open-source communities, and key industry conferences (KubeCon, re:Invent, Google Cloud Next, etc.)

• Experience with Ashby or similar modern recruiting platforms

• Track record of closing candidates from top cloud companies (AWS, Google Cloud, Microsoft Azure, Snowflake, Databricks, etc.)

• Technical background or strong familiarity with cloud platforms, Kubernetes, distributed systems, and AI infrastructure optimization

• Experience recruiting in the San Francisco Bay Area's competitive cloud infrastructure talent market

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

A Final Note:

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.

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.