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Nectar Social is an AI-native social commerce platform founded by ex-Meta product and engineering leaders. The company has raised over $30M from investors including GV and True Ventures, and works with brands like Oura Health, Caraway, e.l.f. Cosmetics, and OLIPOP.
As Senior Technical Recruiter, you will report directly to the Head of Talent and own full-cycle recruiting for engineering, AI/ML, product management, and technical infrastructure roles. You'll be the primary architect of the technical talent pipeline, partnering closely with founders and the Director of Engineering to attract world-class talent.
Key responsibilities include: driving end-to-end technical hiring across engineering and product teams; partnering with ex-Meta engineering founders to define role requirements and map target talent pools; proactive sourcing from technical communities, open-source networks, GitHub, and alumni networks to engage passive top-tier talent; optimizing technical evaluation processes including code reviews and system design loops; tracking candidate funnel metrics to continuously improve the recruiting engine; delivering a fast, high-touch candidate experience; and representing Nectar in the engineering community to enhance employer brand.
You'll need 5-7+ years of technical recruiting experience with a proven track record of sourcing and closing high-bar Software Engineers, AI/ML Engineers, and Technical Product Managers. Deep technical literacy is essential—you should confidently discuss modern tech stacks, distributed systems, AI/LLM infrastructure, and engineering trade-offs. You must have strong judgment evaluating engineering craftsmanship and problem-solving ability, demonstrated success competing against major tech companies and high-growth AI startups, and startup DNA with resourcefulness and adaptability.
Bonus qualifications include prior experience recruiting in AI/ML, developer tools, or distributed systems; an active network of senior engineering and product talent in Silicon Valley; and experience with modern AI sourcing tools or automated candidate engagement workflows.
The role is based in Palo Alto with in-person collaboration required. Compensation is competitive with meaningful early-stage equity, plus health/vision/dental benefits, 401(k) match, direct mentorship from ex-Meta technical leaders, and exposure to state-of-the-art AI infrastructure.
