Principal Technical Recruiter

Eve•San Francisco, CA

3h•$185,000 - $220,000•Hybrid

About The Position

Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. We're hiring a Principal Technical Recruiter to own hiring across Engineering, Product, and UX Design. You'll be a senior individual contributor and a strategic partner to our leadership team. You'll run full-cycle searches from intake to offer, and you'll also build the sourcing strategies, interview processes, and hiring playbooks that help us scale. You'll be especially important in competing for AI and machine learning talent.

Requirements

10+ years of technical recruiting experience, including significant time in-house at high-growth startups (Seed through Series C+ or equivalent)
Strong technical fluency: you can speak credibly with engineers about architecture, tradeoffs, and tech stacks, and you understand the differences between engineering specialties well enough to screen effectively
Demonstrated experience partnering with engineers, product leaders, and executives in a startup environment, understanding the unique needs of a high-growth AI-focused organization.
Proven track record sourcing and hiring AI/ML talent, including research scientists, ML engineers, and applied AI roles, and a genuine understanding of the AI landscape (LLMs, model training, inference, evals, MLOps, etc.)
Experience recruiting across engineering, product, and design, with a strong grasp of how each function evaluates talent
Demonstrated success in a fast-paced, ambiguous environment where you've built process from scratch and hired at speed without lowering the bar
Expert-level sourcing skills: Boolean, GitHub, LinkedIn Recruiter, Juicebox, conference and community mapping, and creative outbound that gets responses from passive candidates
Excellent closing skills with senior and in-demand candidates, including competitive offer situations
Strong communication and stakeholder management, with the credibility to push back on hiring managers and advise executives
Data-driven approach to recruiting, with comfort in an ATS (Greenhouse preferred) and pipeline reporting

Nice To Haves

A genuine passion for relationship-building, with a people-first approach to recruiting.
Deep knowledge of the Bay Area technical talent pool
A strong technical foundation and ability to discuss technical roles and requirements effectively.
A proactive, adaptable approach to solving recruitment challenges in a fast-paced, dynamic environment.
High empathy and EQ, enabling you to connect meaningfully with both candidates and team members.
A data-driven mindset, utilizing metrics to inform and enhance recruitment strategies.

Responsibilities

Run full-cycle recruiting for a broad range of roles across engineering (backend, frontend, infrastructure, security, data, mobile), product management, and product/UX design
Partner with hiring managers and executives to define role requirements, calibrate on what "great" looks like, and set realistic timelines and expectations
Source and engage senior and hard-to-find candidates through creative outbound, community engagement, referrals, and your own network
Lead our approach to AI/ML hiring, including research engineers, applied scientists, ML infrastructure engineers, and AI product leaders
Assess technical depth in candidates, hold substantive conversations about systems, architecture, ML concepts, and design process, and give hiring teams sharp, well-reasoned signal
Design and continuously improve interview loops, scorecards, and structured evaluation for technical, product, and design roles
Close candidates: build compelling narratives, manage competing offers, and guide candidates through compensation and decision-making
Use data (pipeline metrics, conversion rates, time-to-hire, source effectiveness) to forecast, spot bottlenecks, and make the case for where to invest
Build and refine recruiting processes, tooling, and best practices as we scale, and mentor other recruiters and coordinators as the team grows
Champion an exceptional candidate experience and inclusive hiring practices