Peec AI

Talent Acquisition Specialist at Peec AI (New York, NY)

Peec AI· New York, NY· $100k–$130k·

Role details

Salary
$100k–$130k
Work type
Onsite
Employment
Full-Time
Equity
Yes

Job description

About Peec AI

Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Perplexity, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.

We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, past $10M ARR, with a 80+ person team across our Berlin HQ and our new New York office.

What You’ll Do

  • Own hiring pipelines end-to-end as the first dedicated Talent Acquisition Specialist in New York
  • Source strong, high-signal pipelines fast, using creative and unconventional sourcing strategies that go far beyond LinkedIn Recruiter
  • Execute and continuously improve the hiring process for Go-To-Market functions (Sales, Customer Success, and Enabling Functions), balancing a very high bar with fast execution
  • Partner closely with hiring managers to drive hiring velocity — proactively managing the funnel, unblocking bottlenecks, and pushing decisions forward
  • Deliver a best-in-class experience to candidates, hiring managers, and interviewers alike

What We’re Looking For

  • Experience working as part of an internal Talent Acquisition team in a hyper-growth start-up, a GTM operator at a VC backed start-up, and/or a hyper-competitive recruitment agency environment
  • An exceptionally creative and proactive sourcer with a deep understanding of GTM excellence for a growing start-up
  • Exceptional story-telling ability to sell career opportunities at Peec AI to top talent with multiple competing offers
  • Proven experience designing and running high-velocity hiring pipelines while operating with modern, AI-centric tooling (e.g. Ashby, Metaview, Claude/ChatGPT, Clay, Lemlist, etc.)

Bonus Points

  • Experience at a top-tier recruiting agency, especially in highly competitive markets
  • Familiarity with New York technology/start-up ecosystem
  • Previous involvement in building an office/team from scratch

EEOC Statement: Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law.

Compensation: The base salary range for this position is $100,000 to $130,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Why work at Peec AI

  • High Growth & Impact: The company is in the top 1-2% of startups in terms of growth, offering employees "real ownership" and the chance to shape a new category.
  • Great Compensation: The company emphasizes "great compensation" and benefits as a key pillar of its employee value proposition.
  • Team Energy: Described as having a high-energy, fast-paced, and ambitious culture, typical of a well-funded early-stage startup.
  • Remote/Hybrid/Office Policy: Roles are primarily based in Berlin, with plans for a New York office. The company appears to value in-person collaboration, though specific remote/hybrid policies are not publicly detailed.
  • Notable Perks: Unlimited growth opportunities, a strong emphasis on team energy, and the chance to work with top-tier investors and a high-caliber team.
  • Engineering Culture: The company’s strength lies in its technical infrastructure, making it an attractive place for engineers and data scientists interested in AI, real-time data pipelines, and applied research.

Application questions