Technical Talent Sourcer
Posted Updated
Description
- 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 (GitHub, 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 EvenUp’s values and an exceptional candidate experience in every interaction
Benefits
- 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 work
- A track record of building pipeline from scratch with creative, multi-channel sourcing (LinkedIn Recruiter, GitHub, 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