Principal Technical Recruiter
$185k - $220k+ Equity
Expert
San Francisco, CA, USA
Hybrid
People & HRTechnical Recruiting
About the job
Requirements
- At least 10 years of technical recruiting experience, including significant in-house experience at high-growth startups from Seed through Series C+ or equivalent.
- Strong technical fluency to discuss architecture, tradeoffs, and technology stacks with engineers and distinguish engineering specialties sufficiently to screen candidates effectively.
- Experience partnering with engineers, product leaders, and executives in a startup environment, understanding the needs of a high-growth AI-focused organization.
- A proven track record sourcing and hiring AI and machine learning talent, including research scientists, machine learning engineers, and applied AI roles, and understanding of large language models, model training, inference, evaluations, and MLOps.
- Experience recruiting across engineering, product, and design, with an understanding of how each function evaluates talent.
- Demonstrated success building processes from scratch and hiring at speed in a fast-paced, ambiguous environment without lowering standards.
- Expert sourcing skills using Boolean search, GitHub, LinkedIn Recruiter, Juicebox, conference and community mapping, and creative outbound approaches for passive candidates.
- Strong closing skills with senior and in-demand candidates, including competitive offer situations.
- Strong communication and stakeholder-management skills, with the credibility to challenge hiring managers and advise executives.
- A data-driven approach to recruiting, including comfort using an applicant tracking system and pipeline reporting; Greenhouse is preferred.
Responsibilities
- Run full-cycle recruiting for roles across engineering, including backend, frontend, infrastructure, security, data, and mobile; product management; and product and user experience design.
- Partner with hiring managers and executives to define role requirements, calibrate expectations for strong candidates, and set realistic timelines and expectations.
- Source and engage senior and hard-to-find candidates through outbound sourcing, community engagement, referrals, and personal networks.
- Lead the approach to AI and machine learning hiring, including research engineers, applied scientists, machine learning infrastructure engineers, and AI product leaders.
- Assess candidates' technical depth through substantive discussions about systems, architecture, machine learning concepts, and design processes, and provide hiring teams with well-reasoned assessments.
- Design and continuously improve interview loops, scorecards, and structured evaluation for technical, product, and design roles.
- Close candidates by building compelling narratives, managing competing offers, and guiding candidates through compensation and decision-making.
- Use pipeline metrics, conversion rates, time-to-hire, and source effectiveness to forecast, identify bottlenecks, and recommend where to invest.
- Build and refine recruiting processes, tools, and best practices as the organization scales, and mentor other recruiters and coordinators.
- Champion an exceptional candidate experience and inclusive hiring practices.
Desired Qualifications
- Deep knowledge of the Bay Area technical talent pool.
- A genuine passion for relationship-building and a people-first approach to recruiting.
- A strong technical foundation and ability to discuss technical roles and requirements effectively.
- A proactive and adaptable approach to solving recruitment challenges in a fast-paced, dynamic environment.
- High empathy and emotional intelligence to connect meaningfully with candidates and team members.
- A data-driven mindset that uses metrics to inform and improve recruitment strategies.
About the company
Eve Legal provides an AI-powered legal assistant for law firms and legal departments. It automates common tasks such as document review, case analysis, and legal research, helping professionals work faster and take on more clients. The product works by using an adaptable AI system that can be trained and customized to match individual lawyers’ preferences and standards, effectively acting as a team member that handles repetitive, low-value tasks while users focus on high-level strategy and client service. Eve differentiates itself through immediate usability, customization, and ongoing updates via a subscription model, ensuring the AI stays aligned with users’ workflows. The goal is to improve productivity and client satisfaction by delivering recurring value through a scalable, AI-assisted workflow that reduces time spent on routine tasks and increases throughput for legal teams.
Company Size
201-500
Company Stage
Series B
Total Funding
$164M
Headquarters
San Mateo, California
Founded
2020
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Simplify's Take
What believers are saying
- Eve surpassed 1,400 plaintiff firms and 200,000 active matters by June 2026.
- March 2026 general availability followed 900-plus firms and reported 2-3x attorney capacity gains.
- June 2026 EveOS added Atlas, Analyst, and communication agents, widening enterprise stickiness.
What critics are saying
- AI.Law sued Eve in June 2026 for patent infringement over AI document drafting.
- EvenUp filed a 2025 trade-secret suit, signaling deeper IP warfare among plaintiff AI vendors.
- If courts freeze Eve's drafting or intake workflows, expansion stalls and buyer trust erodes.
What makes Eve unique
- EveOS turned plaintiff firms into AI-native workflows, spanning intake through resolution by June 2026.
- Atlas continuously structures matter data from filings, emails, records, and calls without manual entry.
- Auditor and Agents automate outbound work and nightly quality control, reducing staffing dependence.
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Benefits
- 401(k) Company Match
- Health Insurance
- Dental Insurance
- Vision Insurance
- Unlimited Paid Time Off
- Hybrid Work Options