We're looking for a strategic, curious, and highly resourceful
Technical Sourcer to help us identify and engage exceptional technical talent. This role is ideal for someone who enjoys solving complex talent problems, understands how to assess technical profiles beyond job titles, and thrives in the pace and ambiguity of a high-growth startup. You9ll partner closely with recruiters, hiring managers, and technical leaders to develop targeted sourcing strategies for priority roles.
Responsibilities - Partner with recruiters and hiring managers to deeply understand role requirements, technical stacks, business priorities, and ideal candidate profiles.
- Build targeted talent maps and pipelines by function, skill set, geography, company background, and domain expertise.
- Identify and engage passive candidates through LinkedIn Recruiter, GitHub, technical communities, open-source projects, industry events, referrals, alumni networks, and other creative sourcing channels.
- Use Boolean search, X-ray search, talent intelligence tools, and market research to uncover qualified candidates for difficult and niche technical searches.
- Write thoughtful, personalized outreach that communicates the company9s mission, engineering challenges, technical environment, and career opportunity.
- Conduct initial candidate conversations to assess core qualifications, technical relevance, motivation, location, compensation alignment, and interest.
- Present well-calibrated candidates to hiring teams, including clear sourcing context and relevant technical background.
- Maintain accurate, timely candidate activity and pipeline data within Ashby.
- Track sourcing funnel performance, outreach response rates, candidate quality, diversity representation, and pipeline health; use insights to improve strategy.
- Share market intelligence with recruiting and engineering leadership, including talent availability, competitor activity, skill-set trends, location constraints, and candidate feedback.
- Develop and maintain long-term candidate relationships and talent communities for future hiring needs.
- Support inclusive sourcing practices by broadening search strategies, diversifying talent channels, and helping reduce bias in talent identification.
- Improve sourcing processes through documentation, automation, tooling, and repeatable research methods.
Qualifications- 3 - 6 years of technical sourcing experience.
- Demonstrated experience sourcing for technical roles, such as backend, frontend, full-stack, platform, mobile, data, machine learning, cloud infrastructure, DevOps/SRE, security, or engineering leadership.
- Ability to evaluate technical profiles based on programming languages, frameworks, architecture, infrastructure, scale, product domain, and depth of ownership-not solely titles or employer names.
- Strong familiarity with technical sourcing channels, including LinkedIn Recruiter, GitHub, Stack Overflow or developer communities, open-source ecosystems, conference communities, and referral networks.
- Expertise in Boolean and X-ray search, candidate research, talent mapping, and building pipelines for difficult-to-fill roles.
- Strong written communication skills and the ability to craft authentic, customized outreach that resonates with technical audiences.
- Experience using applicant tracking systems, recruiting CRMs, and sourcing tools; familiarity with Greenhouse, Lever, Ashby, Gem, SeekOut, hireEZ, LinkedIn Recruiter, or similar platforms is a plus.
- Ability to manage multiple searches, changing priorities, and fast-moving stakeholder needs while maintaining an exceptional candidate experience.
- Strong partnership and consultative skills, including the ability to influence hiring teams using market data and sourcing insights.
- A data-informed, detail-oriented approach to measuring sourcing effectiveness and improving outcomes.
- Commitment to inclusive hiring practices and expanding access to technical opportunities.
- Familiarity with modern technical stacks and concepts, such as Python, Java, Go, TypeScript, React, Node.js, Kubernetes, AWS/GCP/Azure, distributed systems, data platforms, LLMs, MLOps, observability, or application security.
