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Technical Sourcer

DatologyAIRedwood CityOnsite

About the Company


Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper.

Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.

About the Role


We're looking for a Technical Sourcer to help us scale a world-class team of AI researchers and engineers. You'll play a key role in building the sourcing infrastructure for our company and drive the top-of-funnel strategy for some of our most critical technical roles.

What You'll Work On


  • Drive top-of-funnel strategy by identifying and engaging world-class researchers and engineers
  • Relentlessly experiment with sourcing and outreach methods, using data to refine messaging and maximize response rates
  • Develop creative sourcing strategies that go far beyond LinkedIn:
  • Surface talent from research papers, academic publications, and conference proceedings
  • Track open-source contributions, GitHub repos, and technical blogs
  • Engage with niche communities, forums, and specialized networks
  • Craft compelling, highly personalized outreach and continuously A/B test messaging to improve engagement
  • Partner closely with leadership and engineering teams to translate complex technical requirements into effective search parameters
  • Build and maintain robust pipelines of specialized talent for our most critical roles
  • Own candidate experience from first touch through initial screening, including scheduling conversations
  • Analyze funnel metrics to spot opportunities, double down on what works, and cut what doesn’t

About You


  • Lights up at the challenge of finding that needle-in-a-haystack candidate
  • 3+ years of experience sourcing technical talent, ideally in a startup or fast-paced environment
  • Previous experience as a Recruiting Coordinator is a plus
  • Comfortable using sourcing tools like LinkedIn Recruiter, Ashby, etc.
  • Excellent written communication and a thoughtful approach to candidate outreach
  • You have strong judgment and can quickly identify high-signal candidates
  • Organized, self-motivated, and energized by fast-moving teams and high ownership

Compensation


At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary for this position ranges from $110,000 to $150,000.

  • The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

We offer a comprehensive benefits package to support our employees' well-being and professional growth:

  • 100% covered health benefits (medical, vision, and dental).
  • 401(k) plan with a generous 4% company match.
  • Unlimited PTO policy
  • Annual $2,000 wellness stipend.
  • Annual $1,000 learning and development stipend.
  • Daily lunches and snacks are provided in our office!
  • Relocation assistance for employees moving to the Bay Area.

Life at DatologyAI

Thrive Here & What We Value1. Fastgrowing startup with a focus on innovation and growth | 2. Collaborative work environment where everyone is encouraged to contribute ideas and take ownership of their work | 3. Emphasis on worklife balance, with flexible hours and remote work options available | 4. Opportunities for professional development and career advancement within the company</s> | 1. Fastpaced and iterative environment | 2. Collaborative team culture | 3. Focus on quality, functionality, and human communication | 4. Humble attitude and eagerness to help colleagues | 5. Desire to do whatever it takes to make the team succeed</s> | 1. Collaborative and supportive work environment | 2. Emphasis on innovation and creativity | 3. Focus on customer satisfaction and success | 4. Opportunities for career growth and professional development | 5. Flexible work arrangements and worklife balance</s> | 1. Dedicated to rewarding talent with highly competitive salary and significant equity. | 2. Rapidly scaling team and computing resources to revolutionize data curation across modalities. | 3. Partnering closely with founders on the direction of our product and driving businesscritical technical decisions. | 4. Contributing to developing core products, starting from main data curation pipeline. | 5. Ensuring that systems are reliable, secure, and worthy of customers' trust.</s> | 1. Collaborative and supportive team environment | 2. Focus on innovation and staying ahead of industry trends | 3. Emphasis on worklife balance and flexibility | 5. Competitive salary and significant equity.</s> | 1. Collaborative environment where scientists work closely with engineers, talk to customers, and shape the product vision. | 2. Dedicated to rewarding talent with highly competitive salary and significant equity. | 3. Focus on realworld needs rather than conference reviewers and academic benchmarks. | 4. Emphasis on adaptability, communication, and collaboration skills in a startup environment.</s>
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