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Fireworks is a Series D AI infrastructure platform ($17.5B valuation) backed by NVIDIA, Sequoia, Benchmark, and others. The company enables enterprises to build, train, and serve specialized AI models tailored to their data and workflows, supporting hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads.
As a Technical Recruiter, you will own full-cycle hiring for a focused domain within Fireworks' engineering and research organization. This is a high-ownership role where great hiring is a direct competitive advantage. You'll partner directly with founders and engineering leaders to source, screen, and close roles for researchers, systems engineers, and infrastructure experts.
Key responsibilities include: conducting full-cycle recruiting (sourcing through close); partnering with hiring managers to scope roles and define calibrated hiring bars; building and nurturing pipelines of top technical talent through proactive outreach and referrals; running structured, bias-aware technical screens; delivering exceptional candidate experience as a brand ambassador; driving offers and closes using market data; maintaining ATS hygiene and reporting on funnel health; and leveraging AI tooling to improve sourcing and screening efficiency.
You'll need 5+ years of full-cycle technical recruiting experience, ideally at a high-growth startup or in AI/ML, infrastructure, or deep-tech. A proven track record of closing senior and hard-to-fill engineering or research roles in competitive markets is essential. Strong technical fluency is required—you must understand engineering roles, tech stacks, and hold credible conversations with technical candidates and hiring managers. Proficiency with modern AI-powered sourcing/screening tools (particularly Ashby) is expected. Exceptional communication, relationship-building skills, and genuine care for candidate experience are critical. You must be comfortable with ambiguity and thrive in a fast-changing, high-bar environment.
Nice-to-have qualifications include familiarity with the open-source AI ecosystem (PyTorch, model serving, inference) and experience building recruiting processes or employer-brand programs from early stage.
