On-site Full-time

Magic AI is hiring a Sourcing Lead

About the Role

Magic AI is hiring a Sourcing Lead to own the vision and execution of our sourcing function. This role is critical in building a data-driven engine to identify, engage, and hire exceptional talent across all business units. You will combine hands-on sourcing expertise with leadership, operational rigor, and strategic partnership to create a competitive hiring advantage.

What You'll Do

  • Own the vision, strategy, and execution for Magic's sourcing team as we grow.
  • Build and manage a team of sourcers, including hiring, onboarding, coaching, and performance development.
  • Create sustainable capacity plans for the function including team size, allocation models, workforce planning, and ramp expectations.
  • Define, track, and report on sourcing KPIs, dashboards, and productivity metrics such as reachouts, conversion rates, funnel health, and passthroughs.
  • Drive a rigorous testing and iteration culture by developing outreach experimentation frameworks, defining playbooks, and running systematic improvement cycles.
  • Partner with leadership to create OKRs and build forecasting models for sourcing output.
  • Operate as a top tier sourcer, particularly for highly technical or hard to fill roles.
  • Manage pipelines across technical and non-technical orgs and adapt strategies to each unique functional profile.
  • Build strong relationships with Hiring Managers to deeply understand role needs, team dynamics, and long term talent strategy.
  • Develop modular and scalable sourcing workflows, tools, and processes.
  • Implement best practices in candidate research, market mapping, competitive intelligence, and outreach personalization.
  • Partner closely with Recruiting Operations on tools, automation, data hygiene, and process optimization.
  • Collaborate with Recruiters, People Ops, and Functional Leaders to align sourcing pipeline with company priorities.
  • Provide market insights and talent landscape data to guide headcount planning and hiring strategy.
  • Build resource plans to support new business units as Magic expands.

What We're Looking For

  • Experience building, scaling, or leading a sourcing function.
  • Demonstrated ability to build systems including workflows, playbooks, metrics frameworks, outreach strategies, and experimentation loops.
  • Strong analytical ability and comfort building dashboards, identifying trends, and running data driven decision processes.
  • Exceptional sourcing fundamentals including custom boolean search, market mapping, candidate research, personalization, and advanced tools.
  • Ability to support a diverse portfolio of roles across Technical, G&A, Operations, and GTM teams.
  • Strategic partner mindset combined with willingness to get hands on and source high impact roles yourself.
  • Excellent communication, stakeholder management, and cross functional collaboration skills.
  • High ownership, operational rigor, and a bias toward action.

Nice to Have

  • Formal management experience is a plus, but not required if you have played a de facto leadership role.

Team & Environment

This role reports directly to the Head of Recruiting.

Benefits & Compensation

  • Compensation: $175K - $260K (depending on experience) + equity. Equity is a significant part of total compensation.
  • 401(k) plan with 6% salary matching.
  • Generous health, dental, and vision insurance for you and your dependents.
  • Unlimited paid time off.
  • Visa sponsorship and relocation stipend to bring you to SF, if possible.

Work Mode

This is an onsite role based in San Francisco (SF).

Magic AI is an equal opportunity employer.

Required Skills
SourcingRecruitmentTalent AcquisitionCandidate ScreeningMarket ResearchEmployer BrandingStakeholder ManagementATSData AnalysisCommunicationNegotiationNetworkingProject ManagementProcess ImprovementReporting
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About company
Magic AI

Magic's mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. The company's approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to automate research and code generation to improve models and solve alignment.

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Job Details
Category other
Posted 4 months ago