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Company Description
Launchd is a specialized headhunting partner focused on the top 1% of AI talent for venture-backed startups, helping founders and investors build high-performance teams across engineering, leadership, and go-to-market. The firm runs a precision-engineered search process that begins with rigorous calibration and alignment on mission-critical responsibilities, technical depth, execution velocity, and the attributes correlated with elite performance, eliminating guesswork before outreach starts. Leveraging a venture-aligned network and warm access to founders, operators, and AI communities connected to a16z, Felicis, and other top-tier ecosystems, Launchd sources from the hidden marketelite engineers, builders, and ex-founders who rarely apply to jobsso clients see candidates their competitors wont. Network-driven sourcing is complemented by AI-enabled research that accelerates mapping, calibration, and matching, enabling tight weekly sprints, feedback loops, and transparent pipeline visibility that mirrors engineering-level rigor. Launchd screens for adaptability, autonomy, senior-level execution, and deep technical skill, advancing only those aligned with the bar required in fast-moving AI companies. The team hires for mission-critical roles including Senior ML, LLM, and ML Infrastructure Engineers who ship production-grade systems, senior leaders who shape engineering strategy and build high-performance teams, and GTM talent who drive revenue, adoption, and early market traction. From coordinated outreach and candidate pitching to scheduling, follow-ups, feedback loops, and real-time pipeline tracking, Launchd provides end-to-end process ownership so founding teams can stay focused on building product while maintaining hiring velocity. With a product-quality approach to recruitingstructured, data-informed, and velocity-drivenpaired with deep immersion in the AI ecosystem, Launchd consistently surfaces world-class talent and delivers searches that compound long-term company outcomes for early-stage and venture-backed AI startups.
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