Clay

Head of ARC (Activation, Research & Community)

Clay

New YorkFullTime$250k – $350kPosted Jun 26, 2026

Job description

ABOUT CLAY Our mission is to help organizations turn any growth idea into reality. We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage.

We're already helping thousands of customers https://clayrun.notion.site/Wall-of-Love-b243f2b67607438b9fad99341e6b8d47 — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research. In 2025, we raised a $100M Series C https://www.nytimes.com/2025/08/05/business/dealbook/clay-ai-marketing-fundraise.

htmlbacked by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue. In 2026, we announced our second employee tender offer https://www.nytimes.com/2026/01/28/business/dealbook/clay-start-up-tender-offers.html in 9 months at a new $5B valuation. We also launched a community equity round https://www.

clay.com/blog/community-equity-offering, for our customers, agency partners, and club members. Some things to know about us:

WHAT YOU'LL DO

Activation & Talent Intelligence

  • Build and own Clay's talent intelligence infrastructure: a system of record, market mapping, exec-level relationship programming, and signal monitoring across our highest-priority talent segments
  • Design the touch points, rituals, and outreach sequences that keep Clay's talent constellation warm. When a role opens, we already know exactly who we'd want in it, and they answer our text because we just invited them to a clay party last month, commented on their linkedin post last week, and in our reach out also asked them for a pic of their pup.
  • Develop proactive, exec search-style engagement strategies at scale. Bring Intelligence to Every Search: Research & Sourcing
  • Translate talent intelligence into activation: take what we know about the market and turn it into a sourcing motion that's faster and more precise than any other sourcing motion out there.
  • Build Clay-native sourcing workflows using our own product — enrichment, signal tracking, network activation, personalized outreach, and make Clay for Recruiting a lived practice.
  • Own and evolve our Referral Jam program, turning warm networks into a structured, repeatable, and genuinely fun sourcing channel.
  • Build a team of sourcers and researchers to support our scaling. Build the Network — Community & Talent Matching
  • Design and run an external talent community that serves both Clay's pipeline and our customers’ hiring (especially for the GTME space)
  • Build the matchmaking layer: how we connect the right people to the right opportunities inside and outside of Clay, at the right time
  • Partner with GTM and customer-facing teams to make the talent community worth joining WHAT YOU'LL BRING Experience & Expertise - 10+ years in talent acquisition, executive search, venture capital, or a senior recruiting function with meaningful ownership of sourcing strategy (hopefully you have a combination of these experiences!)
  • Demonstrated experience building proactive talent programs — market mapping, exec relationship management, talent networks
  • Fluency with modern sourcing tooling and data enrichment; hands-on experience with Clay or similar platforms is a plus!
  • Experience designing referral programs, talent communities, or network-based sourcing at scale
  • Prior experience building a function or team from scratch Core Competencies
  • Systems thinker who can hold the strategic vision and the operational detail at the same time
  • Genuinely curious about the intersection of product, data, and the craft of finding exceptional people
  • Wonderful, empathetic, and inspiring people leader
  • Exceptional relationship builder: as comfortable with a quiet one-on-one with a passive exec as you are running large events and speaking on panels
  • Comfortable with ambiguity. What we’re building really doesn’t exist yet!
  • Bias toward experimentation: you'd rather run a test and learn than wait for certainty
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