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Hellyeah AI

AI-driven growth engine for marketing teams

Head of Talent

Generalist Recruiting +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A record of personally making hires, most of them senior and in engineering, research, or artificial intelligence.
  • Experience personally closing senior candidates who were not actively looking and had stronger-looking options, with the ability to explain the approach.
  • Experience mapping a market manually and showing how a list of names turned into hires.
  • Experience scoping roles with hiring managers and changing what they were hiring for.
  • Experience putting recruiting automation into live use by building it or driving its development with engineers, and being able to operate, explain, and modify it.
  • A strong network in San Francisco or Shanghai and a plan for reaching the other market.
  • Technical depth to read code and logs, debug a failed agent run with an engineer, and engage in technical conversations with senior engineers.
  • Ability to write specifications that engineers or coding agents can build from and to test the results.
  • Ability to explain how a particular hire affects business growth.
  • Offer-crafting expertise, including equity, competing offers, and market expectations.
  • Daily use of coding agents and clear views on what agents should not do to candidates.
  • Ability to tell a founder no and explain why.
  • Experience carrying several live searches simultaneously, recognizing when work quality is slipping, and treating candidates with care.
  • Written English for daily work with teammates in the United States, China, and India; working Chinese is required for the Shanghai seat.

Responsibilities

  • Agree with each hiring manager on a ranked list of skills and experience, the reason the role matters, and what success looks like before candidate discussions begin; use this document to guide sourcing, pitching, interviewing, and closing.
  • Challenge hiring managers or founders when a role is vague, incorrectly leveled, or not worth opening.
  • Decide which searches to run personally and which to assign to agencies or contractors so open roles keep moving.
  • Build named lists of people who could fill priority roles by asking precise questions of knowledgeable contacts, reviewing public work, and using professional networks until names recur.
  • Meet regularly with teammates to review people they have worked with, follow up until outreach is sent, and operate referrals as a system.
  • Find warm introductions and follow-up conversations with strong candidates, and persist for weeks, months, or longer.
  • Design each candidate's process, including whom they meet, what they work on, and where to meet; move quickly once they are ready.
  • Learn candidates' motivations early, tailor the offer process accordingly, address competing offers, and maintain contact until their first day.
  • Maintain relationships with candidates who are not hired so they remain willing to refer others.
  • Set hiring-agent rules, define how agent performance is measured, and specify actions agents may not take without human approval.
  • Read agent logs and code, diagnose failed runs, and arrange fixes.
  • Ship small agent changes using coding agents; for larger changes, write specifications with an engineer, test the results on a live search, and keep the system running.
  • Use agents to map markets, trace professional connections, and brief the recruiter on candidates; measure agents by hires rather than message volume, using agents to earn conversations that the recruiter conducts personally.
  • Work with hiring managers on work samples, artificial-intelligence-open assessments, and paid work trials; compare agent scores with human assessments and outcomes, train interviewers, and obtain decisions within a day of the final interview.
  • Record each hire's source and provide founders and hiring managers with visibility into each search; hold hiring managers accountable for their contributions.
  • Work with founders on public writing and events that attract relevant candidates.
  • During the first 90 days, scope the top five open roles with hiring managers and rewrite or close each one.
  • During the first 90 days, build named maps for the top three searches, including teammates' networks.
  • During the first 90 days, get a sourcing agent to identify candidates a hiring manager wants to meet but did not previously know.
  • During the first 90 days, close one personally sourced hire through a designed process.
  • During the first 90 days, take over the hiring agents, review their failures, set priorities, and ship a fix that saves measurable time on a live search.
  • During the first 90 days, record a source for each new hire and publish a weekly view of each search.

Desired Qualifications

  • Experience building a recruiting function from scratch at a fast-growing startup.
  • Executive search experience.
  • Experience hiring in both San Francisco and Shanghai.
  • Experience working as an engineer or conducting technical screens.
  • Experience designing work samples or paid work trials.
  • Experience with Clay, applicant tracking system application programming interfaces, or similar tools that have been extended.

About the Company

Hellyeah AI

AI-driven growth engine for marketing teams

Hellyeah AI helps marketing teams grow faster by using autonomous digital workers, which are AI agents that can perform marketing tasks without constant human direction. The core idea is an AI-native growth engine: teams set goals and the autonomous workers handle campaigns, experiments, content generation, optimization, and data analysis to push growth. The product works by integrating AI agents into marketing workflows to automate repetitive tasks, test ideas, and adjust strategies based on performance data. Differences from competitors come from being built around autonomy and a marketing-centric AI team of agents, rather than just AI tools or generic automation. The goal is to empower marketing teams to scale their efforts efficiently, achieve faster outcomes, and spend less time on manual, repetitive work.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2026

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