Technical Talent Sourcer

• Own proactive sourcing for Engineering and ML roles (software, infrastructure, data, applied ML/AI), generating consistent, high-quality pipeline for senior, niche, and hard-to-fill searches
• Partner with recruiters and hiring managers at intake to translate role requirements into sourcing strategy: target companies, talent pools, search criteria, and messaging that fits the role
• Evaluate technical profiles (Git Hub, open-source contributions, publications, patents, conference talks, communities) to assess fit and prioritize outreach
• Craft personalized, compelling outreach and nurture sequences that earn replies from passive technical candidates, and run through screens and handoffs that give them an excellent experience
• Use data to drive your own approach: track response rates, funnel conversion, and pipeline health, then diagnose and re-engineer the moment a search stalls rather than waiting for direction
• Map talent markets and competitors, and share insight on market supply, compensation signals, and hiring trends to help hiring managers calibrate
• Build and maintain talent pipelines and communities for future needs, including diverse talent pools, referrals, and event and community engagement
• Model excellence in craft: clean ATS hygiene (Ashby), accurate notes and write-ups, and reliable reporting others can depend on
• Pilot new sourcing tools and AI-enabled approaches (e.g., Metaview) and share what works with the team
• Champion Even Up’s values and an exceptional candidate experience in every interaction

• Flexible working hours to match your style
• Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
• A variety of virtual team events such as game nights & happy hours
• Choice of medical, dental, and vision insurance plans for you and your family
• Flexible paid time off and 10+ holidays per year
• A stipend to upgrade your home office for fully-remote roles
• 401k for US-based employees

Experience sourcing technical talent (Engineering and/or ML) in a fast-paced startup or high-growth environment, including senior or niche roles

Excellent, persuasive written and verbal communication that builds trust quickly with technical stakeholders and candidates

Resilience through pressure and change, sustaining quality and momentum through shifting priorities

Strong data fluency, using metrics and benchmarks to diagnose issues and prioritize

Working technical fluency: you can read a resume, repo, or paper and tell a strong ML engineer from a keyword match, and you speak credibly with engineers about their workA track record of building pipeline from scratch with creative, multi-channel sourcing (Linked In Recruiter, Git Hub, Boolean/X-ray search, communities, AI sourcing tools)
A growth mindset and curiosity about new tools, markets, and approaches

High agency under ambiguity, with a record of unblocking stalled searches without waiting for direction

Deep ownership of craft and pride in your work, from outreach copy to data hygiene

Experience sourcing for AI/ML research or applied ML roles

Experience with Ashby, Metaview, or similar ATS and AI recruiting tools

Background in legal tech, SaaS, or AI-native companies

Prior experience in a technical role or deep familiarity with engineering domains