Senior Technical Recruiter to build and execute talent strategy for Engineering, AI/ML, and Product teams at an AI-native social commerce startup. Own full-cycle technical recruiting, proactive sourcing from technical communities, optimize interview processes, and partner with ex-Meta founders to close top engineering talent.
150k – 180k/yr
Hybrid5+ YOERecruiting
About the role
Responsibilities
Drive end-to-end technical hiring for engineering, AI/ML, product management, and technical infrastructure roles.
Partner with technical leadership (ex-Meta engineering founders and tech leads) to define role requirements, craft job specifications, and map target technical talent pools.
Conduct proactive and creative sourcing: deep-dive into technical communities, open-source networks, GitHub, research papers, and alumni networks to engage passive top-tier engineering talent.
Optimize technical evaluation: partner with engineering leads to refine code reviews, system design loops, and practical architecture assessments.
Elevate the candidate experience: deliver a fast, high-touch, and technically articulate candidate journey from initial outreach through onboarding.
Enhance tech employer brand: represent Nectar in the engineering community, highlighting our AI stack, technical challenges, and engineering culture.
Requirements
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: ability to confidently discuss modern tech stacks, distributed systems, AI/LLM infrastructure, and engineering trade-offs with senior candidates.
High talent bar: strong judgment in evaluating engineering craftsmanship, problem-solving ability, and culture-add.
Proven closing ability: demonstrated success competing against major tech companies and high-growth AI startups for top engineering talent.
Startup DNA: highly resourceful, adaptable, low-ego, and comfortable operating in a fast-moving, high-autonomy environment.
Location: In-person collaboration with the team in Palo Alto.
Nice-to-Haves
Prior experience recruiting within AI/ML, developer tools, distributed systems, or high-scale data platform domains.
An active network of senior engineering and product talent within the Silicon Valley startup ecosystem.
Experience integrating modern AI sourcing tools, code-repo analytics, or automated candidate engagement workflows.
Compensation and Benefits
Competitive compensation: $150,000 - $180,000.
Meaningful early-stage equity.
Health, vision, and dental benefits + 401(k) match.
Direct mentorship from ex-Meta technical leaders and early product influence.
Free daily lunch on University Ave. in Palo Alto.
Exposure to state-of-the-art AI infrastructure and developer tooling.
A high-caliber, low-friction engineering environment tackling complex AI and social commerce challenges.
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