# Senior Technical Recruiter

**Company:** [Nectarsocial](https://hotfix.jobs/companies/nectarsocial)
**Location:** Palo Alto, CA
**Role:** Recruiting
**Salary:** $150k – $180k/yr
**Experience:** 5+ years
**Skills:** Technical Recruiting, Sourcing, ai/ml recruiting, Distributed Systems, llm infrastructure, candidate evaluation, Pipeline Management, employer branding, GitHub, ai sourcing tools
**Posted:** 2026-08-13

> 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.

## Job Description

## 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.
- Manage data-driven pipeline: track candidate funnel metrics (outreach acceptance, interview pass rates, offer acceptance rates) to optimize the technical recruiting engine.
- 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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