Wellfound (formerly AngelList Talent)
Improving hiring speed and match quality through intelligent AI search.
Cut recruiter workload and improved outreach efficiency by enriching candidate profiles with structured insights at scale.
Startups struggle to find qualified candidates quickly. Recruiters needed a tool that accelerated sourcing, enriched profiles with AI, and surfaced hidden-fit candidates.
50%+
Increased outreach rate improved candidate clarity and match confidence.
Throughput
Ai-enriched profiles increased recruiter throughput towards more qualified candidates surfaced faster.
-40% time
Two-way ATS integration reduced redundant applicant review time.
PMF
The product became Wellfound’s primary paid sourcing product
Increase recruiter efficiency and improve outreach quality across thousands of candidate searches.
The bet? If we enriched unstructured candidate data into clear, comparable profiles and leveraged AI to suggest high-fit matches, recruiters would be able to reach out to more candidates with higher confidence.
I led design and product strategy with the CEO along with a cross-functional team, shaping the early roadmap, defining workflows for search and applicant review, and building the design system that supported WellfoundAI's evolution.
As part of our strategy, we defined two offerings within our product:
• Self-Serve - Introduced AI-powered sourcing and outreach, enriched candidate profiles, and ATS integration.
• Autopilot - Extended self-serve tools with an AI-assisted recruiter team that automated search and outreach, leaving clients only to review top candidates.
WellfoundAI became the company’s premier paid sourcing product, powering the evolution of Wellfound’s B2B ecosystem. The foundational design and ATS integration now enable faster hiring cycles and more intelligent candidate matching for recruiters across the platform.
