Technical Sourcer

Posted 22 Hours Ago
Be an Early Applicant
San Francisco, CA
In-Office
150K-260K
Mid level
Artificial Intelligence • Software
The Role
As a Technical Sourcer, you'll source and engage technical talent for AI roles, collaborating with teams to build candidate pipelines and optimize sourcing strategies.
Summary Generated by Built In

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.

About the role:
As a Technical Sourcer at Magic, you’ll be at the forefront of building the team that builds AGI. You’ll partner closely with our recruiting, technical leadership, and research teams to identify, engage, and attract exceptional technical talent across AI research, and engineering. You’ll own the top of the recruiting funnel, drive creative sourcing strategies, and help us build a world-class network of people.

What you might work on:

  • Build and manage robust pipelines of top technical talent across research, engineering, and infrastructure roles

  • Partner with hiring managers and recruiters to deeply understand role requirements and candidate profiles

  • Design and execute creative sourcing strategies for both high-volume and hard-to-fill roles

  • Leverage multiple sourcing channels (LinkedIn, GitHub, publications, conferences, communities, etc.) to identify exceptional candidates

  • Engage with candidates who have experience in AI, deep learning, and large language models

  • Develop outreach that authentically represents Magic’s mission and technical challenges

  • Track sourcing metrics and continuously optimize processes for speed and quality

What we’re looking for:

  • Strong technical fluency: you’ve either worked in a technical role yourself or can confidently assess technical talent. Some of our team used to be engineers and we code solutions when needed

  • Context Switching: one week we will need 4k unique outreaches from you. Next week, we will need you to map esoteric research papers from PhDs 2 years out. You should be able to do both easily.

  • Deep sourcing expertise, with experience identifying and engaging technical candidates at scale. Or prove that you can do this.

  • Familiarity with AI, machine learning, and ideally large language models. We read all the latest research papers and attend the top AI-conferences on behalf of Magic

  • Strong communication skills and the ability to tell Magic’s story in an inspiring way

  • Proven ability to manage multiple searches simultaneously and adapt to shifting priorities

  • Experience in a fast-paced startup or high-growth environment

Nice to have:

  • Previous experience recruiting for AI, ML, and niche technical roles

  • Hands-on familiarity with sourcing tools, data enrichment, and automation

  • Network within the AI or ML community

Our culture:

  • Integrity: Words and actions should be aligned

  • Hands-on: At Magic, everyone is building

  • Teamwork: We move as one team, not N individuals

  • Focus: Safely deploy AGI. Everything else is noise

  • Quality: Magic should feel like magic

Compensation, benefits, and perks (US):

  • Annual salary range: $150K - $260K (depending on experience)

  • Equity is a significant part of total compensation, in addition to salary

  • 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

  • A small, fast-paced, highly focused team

Top Skills

AI
Automation
Data Enrichment
Deep Learning
Large Language Models
Machine Learning
Sourcing Tools
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
47 Employees
Year Founded: 2022

What We Do

Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev

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