Technical Recruiter

Fireworks AI

San Mateo (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Fireworks AI is hiring Technical Recruiters to own full-cycle hiring within a focused area of our engineering and research org. You will partner directly with the founders and engineering leaders to hire researchers, systems engineers, or infrastructure experts who make Fireworks run.

You move fast, love data, and treat every candidate interaction as a reflection of the Fireworks brand. You will leverage AI tooling to boost sourcing and screening efficiency while maintaining a personal touch.

Qualifications

  • Strong technical fluency and ability to discuss engineering roles and tech stacks.
  • 5+ years of full-cycle technical recruiting experience, ideally in AI/ML or deep-tech.
  • Proven track record closing senior and hard-to-fill engineering or research roles.
  • Exceptional communication and relationship-building skills.

Responsibilities

  • Own full-cycle recruiting: sourcing, screening, and close for technical roles within your focus area.
  • Partner with hiring managers and founders to scope roles, define hiring bars, and build strategies.
  • Build and nurture pipelines of top technical talent through proactive outreach and referrals.
  • Run structured, bias-aware screens that assess technical depth and mission fit.
  • Deliver an exceptional candidate experience end to end and represent Fireworks brand.
  • Drive offers and closes, using market data to guide candidates to yes.
  • Keep ATS clean and report funnel health to improve processes.
  • Leverage AI tooling to boost sourcing and screening efficiency without losing touch.

Skills

Full-cycle recruiting
AI/ML talent
Stakeholder management
Sourcing techniques
Candidate experience

Job description

  • We’re looking for Technical Recruiters to own full-cycle hiring within a focused area of our engineering and research org. Each recruiter goes deep on a single domain.
  • You’ll partner directly with the founders and engineering leaders in your area to hire the researchers, systems engineers, or infrastructure experts who make Fireworks run.
  • This is a high-ownership role at a company where great hiring is a direct competitive advantage, the talent you bring in will shape the product and the company
  • You move fast, love data, enjoy 0-1 builds, keep a high bar, and treat every candidate interaction as a reflection of the Fireworks brand
  • Own full-cycle recruiting: sourcing, screening, and close for technical roles within your focus area
  • Partner with the hiring managers and founders in your domain to scope roles, define calibrated hiring bars, and build pragmatic hiring strategies for a fast-moving org
  • Build and nurture pipelines of top technical talent through proactive outreach and referrals with high-touch, personalized engagement
  • Run structured, bias-aware screens that accurately assess technical depth and mission fit
  • Deliver an exceptional candidate experience end to end, acting as an ambassador for the Fireworks mission and culture
  • Drive offers and closes, using market and compensation data to guide candidates to yes
  • Keep our ATS clean and use pipeline data to report on funnel health and continuously improve the process
  • Leverage AI tooling to boost sourcing and screening efficiency without sacrificing the personal touch

Strong technical fluency, you understand engineering roles, tech stacks, and can hold credible conversations with technical candidates and hiring managers5+ years of full-cycle technical recruiting experience, ideally at a high-growth startup or in AI/ML, infrastructure, or deep-techA track record of closing senior and hard-to-fill engineering or research roles in a competitive marketExceptional communication and relationship-building skills, and genuine care for candidate experienceComfort with ambiguity and a fast-changing, high-bar environmentFluency with modern AI-powered sourcing/screening tools; comfortable with AshbyExperience building recruiting processes or employer-brand programs from an early stageFamiliarity with the open-source AI ecosystem (PyTorch, model serving, inference)

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