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Senior Recruiter

Halluminate
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Hybrid (San Francisco)$150k - $200k + equityFull-timePosted 1mo ago

About the role

Senior Recruiter at Halluminate, a data research lab building RL environments to automate knowledge work. Role focuses on building and managing a finance expert network to support growth and revenue across the company.

Responsibilities

  • Own the expert pipeline end-to-end: source and engage candidates, manage qualification and vetting handoff, drive conversion through activation, and partner with the People Platform team on retention.
  • Data Driven Outbound: LinkedIn Recruiter / Sales Navigator, alumni and professional networks, referrals, and cold outreach; test paid acquisition and partnerships; build university/training-program relationships; leverage community channels.
  • Inbound Marketing: create brand collateral, marketing, host community events to drive inbound interest in joining the program.
  • Strategic Planning: translate upcoming customer work into a sourcing plan by domain and seniority weeks ahead of the work.
  • Design incentives and referral programs to attract/retain high-quality experts, feed learnings to People Platform/product teams.
  • Product Work: drive creation of tools to automate sourcing/growth at scale.

Qualifications

  • 2 to 5 years in growth, outbound sales / lead generation, recruiting / sourcing, or marketplace supply roles
  • Channel curiosity and scrappiness; ability to test multiple sourcing channels
  • Data fluency; ability to own funnel metrics, conversion rates, CAC, retention; comfort with SQL or spreadsheets
  • Marketing/Brand Skills; ability to create content that attracts; comfortable in a startup, ambiguous environment
  • Exceptional written communication
  • Nice to have: direct, high-volume experience recruiting or sourcing finance professionals (finance-focused recruiting, investment banking, PE, hedge funds, campus/on-cycle recruiting)

Skills

Required:Expert pipeline managementSourcing strategyOutbound marketing and brandingStrategic workforce planningIncentive design
Nice to have:Product-minded sourcing tools

Benefits

  • Fully covered healthcare coverage for yourself and subsidized for dependents (Medical, Dental, Vision)
  • Relocation Stipend ($10k+)
  • 401k (4% match)
  • Free breakfast, lunch, and dinner while working
  • Free gym membership
  • Free transportation to and from the office (Uber/Waymo)
  • Visa Sponsorship (e.g., H1B)
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Halluminate

Data and RL environments to automate knowledge work

We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce) Halluminate offers a suite of products and services to address both these issues. Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI. Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance. Our customers see - Improved browser- and computer-use agent performance - New and emergent frontier agent capabilities - Data driven prioritization leading to exponentially faster development speed - Increased revenue/sales via marketing from public benchmarks Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space. Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.

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