Technical Sourcer - Engineering

Posted Yesterday
Be an Early Applicant
San Francisco, CA, USA
In-Office
125K-190K Annually
Entry level
Artificial Intelligence • Information Technology
The Role
Sources and evaluates elite engineering candidates through proactive outreach, GitHub review, and technically deep screening calls. Builds talent pipelines, runs outreach campaigns, assesses candidates’ technical depth and ownership, and partners with hiring managers and recruiters to calibrate hiring standards. The role requires an engineering background, strong technical fluency, persistence, and compelling written communication. Recruiting experience is optional and can be learned on the job.
Summary Generated by Built In
About the Role

This is not a traditional sourcing role. We're looking for someone who was an engineer first and wants to put that technical depth to work finding and winning the best engineers in the market. You will own proactive outbound sourcing only the top 1% technical talent in the Bay Area and our other hubs identifying them, reaching them, and judging their work on its merits before anyone else does.

You'll build and run outreach campaigns, keep pipelines full for specific engineering roles, and bring a steady, systematic hustle to it. What sets this role apart is that you can evaluate technical talent. You can read a GitHub profile and see the signal in it. You can run a genuinely technical first call, get into the nuts and bolts of what someone built and their level of ownership, and tell the difference between top-tier and the rest after a single conversation.

You'll report directly to the hiring manager on a tight-knit team of six, with visibility and room to grow into ownership of how we source and evaluate engineering talent. We'll teach you the recruiting craft - the technical judgment is what you bring.

Responsibilities 
  • Build and maintain pipelines of top-1% engineering talent for specific open roles
  • Design and run proactive outreach campaigns to elite engineers - persistent, high-volume, and well-written
  • Review GitHub profiles and other technical signals to identify genuinely strong candidates
  • Run technical first calls that go deep on what a candidate actually built
  • Screen for real quality, filtering aggressively so that only the best talent reaches the hiring team
  • Partner closely with the hiring manager and recruiter to calibrate on what "great" looks like for each role
  • Help shape Together AI's approach to technical sourcing as the function grows
Requirements 
  • A hands-on engineering background - you've worked as an engineer of some kind. A CS degree is a strong plus.
  • The ability to read a GitHub profile and glean real signal about someone's depth and quality
  • Enough current technical fluency to run a deep, credible first call with a strong engineer
  • Persistence, hustle, and resilience - you're energized by outbound and unfazed by rejection
  • Strong written communication that gets busy engineers to reply
  • Based in San Francisco
  • Recruiting or sourcing experience is a bonus, not a requirement - we'll teach you that part. 
About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $125,000 - $190,000K + equity + benefits + incentive bonus. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy. 

Skills Required

  • Hands-on engineering background; must have worked as an engineer
  • Ability to review GitHub profiles and assess technical depth and quality
  • Current technical fluency sufficient to conduct deep, credible first calls with engineers
  • Persistence, hustle, and resilience with outbound sourcing and rejection
  • Strong written communication skills
  • Based in San Francisco
  • Computer Science degree
  • Recruiting or sourcing experience

Together AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Together AI and has not been reviewed or approved by Together AI.

  • Fair & Transparent Compensation — Pay is considered competitive for the company’s stage, with especially strong offers for technical and research roles. A posted AI researcher range reaching into the high-$200Ks alongside equity and benefits reinforces the overall pay positioning.
  • Equity Value & Accessibility — Equity is commonly included alongside base salary, giving employees ownership exposure tied to company growth. Total compensation is often framed around salary plus equity for specialized roles.
  • Flexible Benefits — Job listings describe a flexible time‑off policy and hybrid or remote work options. Commuter perks and regular team events are also cited as part of the package.

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The Company
HQ: Surry Hills
84 Employees
Year Founded: 2022

What We Do

Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society

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