Technical Sourcer

Posted 4 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
140K-180K Annually
Mid level
Artificial Intelligence • Software
The Role
Identify, engage, screen, and manage world-class technical candidates for research, ML engineering, platform and product roles. Build talent maps and pipelines using academic conferences, publications, open-source communities and creative sourcing channels. Craft personalized outreach, deliver strong candidate experience, and partner with recruiting and hiring managers on strategic hiring initiatives.
Summary Generated by Built In
About Cartesia

Our mission is to architect AI that learns from and interacts with the world like humans do.

We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.

We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.

About the Role

As a Technical Sourcer, you will be the engine for our growth as a leading foundation model company, responsible for identifying and engaging world-class technical talent. This is an incredibly hands-on role, where you’ll be expected to not only source, but to screen and manage candidates through the process, as well as lead on strategic hiring initiatives alongside Recruiting.

 
Your Impact
  • Strategic Talent Mapping: Develop and execute innovative sourcing strategies to identify and attract top-tier talent for roles in Research/ML Engineering, Platform & Software Engineering and Product Engineering

  • Creative Sourcing: Go beyond LinkedIn. Utilize a variety of channels including academic conferences (NeurIPS, ICML, ICLR), research publications (arXiv, Google Scholar), open-source communities (GitHub, Hugging Face), and professional networks to find exceptional candidates.

  • Pipeline Generation: Build and maintain a robust pipeline of qualified, passive candidates for current and future hiring needs, ensuring a healthy influx of talent for our most critical roles.

  • Personalized Outreach: Craft compelling, personalized, and authentic outreach messages that resonate with a highly technical and sought-after audience. You understand that a generic message won't work.

  • Candidate Engagement: Act as the first point of contact for candidates entering the process with Cartesia, to deliver an exceptional candidate experience

  • Partnership: Collaborate closely with Recruiting and hiring managers to understand the precise technical requirements and nuances of each role, continuously calibrating your search.

     
What You Bring
  • 2-5 years of experience in technical sourcing, with a focus on Engineering hiring

  • A proven ability to source for highly specialized technical roles. You are comfortable discussing concepts related to machine learning, deep learning, NLP, or large-scale systems

  • A track record of leveraging sourcing techniques including Boolean search, talent mapping, and navigating complex online ecosystems to uncover talent

  • Excellent written and verbal communication skills, with the ability to craft messages that are both technically credible and personally engaging

  • A relentless drive to find the best talent and a deep curiosity about the AI landscape that fuels your search.

  • Meticulous attention to detail and experience using applicant tracking systems (ATS) and other recruiting software to manage candidate pipelines.

Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.

More Details

🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.

🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.

🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.

🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

Our Benefits (US Employees Only)

💰 Compensation Competitive base salary alongside attractive equity package.

🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.

🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave

🏦 401(k)

🚆 Commuter Allowance A monthly stipend to help you get to and from the office.

🏖️ Flexible PTO Take as much time as you need to recharge your batteries.

🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.

🦖 Your own personal Yoshi

Our Commitment to Equal Opportunity

Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Skills Required

  • 2-5 years of experience in technical sourcing with a focus on engineering hiring
  • Proven ability to source highly specialized technical roles (research, ML engineering, platform, product)
  • Comfortable discussing machine learning, deep learning, NLP, and large-scale systems concepts with candidates
  • Experience leveraging Boolean search, talent mapping, and complex online ecosystems to uncover talent
  • Familiarity with academic and research channels (NeurIPS, ICML, ICLR, arXiv, Google Scholar) and open-source platforms (GitHub, Hugging Face)
  • Excellent written and verbal communication skills; ability to craft technically credible, personalized outreach
  • Meticulous attention to detail and experience using applicant tracking systems (ATS) and recruiting software
  • Relentless drive to find top talent and deep curiosity about the AI landscape
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The Company
HQ: San Francisco, CA
33 Employees
Year Founded: 2023

What We Do

Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Try Sonic at https://play.cartesia.ai and join our Discord at https://discord.com/invite/gAbbHgdyQM.

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