Lambda
Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda's product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services - servicing government, researchers, startups and Enterprises world-wide.If you'd like to build the world's best deep learning 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.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 DoLead 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 cultureSource, screen, and evaluate top-tier talent across cloud infrastructure, distributed systems, DevOps/SRE and infrastructure engineering (high performance computing, networking, storage, orchestration) rolesPartner with engineering leadership and founders to develop and execute aggressive hiring strategies including competitive intelligence, talent mapping, and analysis of the cloud infrastructure marketNavigate complex technical interviews and guide decision-making processes across our distributed team of interviewers and hiring managersLeverage recruiting analytics and market insights to optimize hiring velocity, quality, and conversion rates in the competitive cloud infrastructure talent marketBuild and maintain recruiting dashboards and performance metrics that support our rapid platform scaling objectivesDrive continuous innovation in our recruiting process, candidate experience, and employer branding to compete for the best cloud infrastructure talent globallyYouHave 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 companiesExcel at evaluating candidates for both cultural alignment and deep technical competencies, particularly in cloud infrastructure, distributed systems, and infrastructure workload optimizationDemonstrate genuine passion for cloud technologies, distributed systems, and AI infrastructure with the ability to quickly understand complex technical requirements and scalability challengesMaster advanced sourcing techniques across LinkedIn Recruiter, Linkedin Talent Insights, GitHub, cloud engineering communities, open-source projects, and specialized infrastructure platformsHave extensive experience with modern ATS platforms and recruiting analytics tools to drive data-informed hiring decisionsThrive in fast-paced, ambiguous startup environments where priorities shift rapidly and scrappy execution is essentialNice to HaveDirect experience recruiting for cloud infrastructure startups, platform engineering teams, or Big Tech cloud divisionsDeep 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 platformsTrack 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 optimizationExperience recruiting in the San Francisco Bay Area's competitive cloud infrastructure talent marketSalary Range InformationThe 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 LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA 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 EmployerLambda 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.