Technical Sourcer
Listed on 2026-02-12
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Software Development
Data Engineer
About the Company
Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.
At Datology
AI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment.
For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.
We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.
This role is based in Redwood City, CA. We are in office 4 days a week.
About the RoleWe are looking for a Technical Sourcer who is excited to help build an exceptional team of engineers and researchers from the ground up. In this role, you will partner closely with the team and leadership to shape how we find, engage, and attract top technical talent. You will own and evolve our sourcing engine, develop creative approaches to reaching hard-to-find candidates, and drive the top of the funnel for some of the most important roles at the company.
This is a chance to have real impact early, influence our hiring strategy, and help define what great looks like as we scale!
- 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 Linked In:
- Surface talent from research papers, academic publications, and conference proceedings
- Track open-source contributions, Git Hub 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
- Lights up at the challenge of finding that needle-in-a-haystack candidate
- 4+ years of experience sourcing technical talent, ideally in a startup or fast-paced environment
- Comfortable using sourcing tools like Linked In Recruiter, Ashby, etc.
- Excellent written communication and a thoughtful approach to candidate outreach
- Comfortable flexing between deeply technical roles and business hiring as company needs evolve
- You have strong judgment and can quickly identify high-signal candidates
- Organized, self-motivated, and energized by fast-moving teams and high ownership
At Datology
AI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary for this position ranges from $120,000 to $145,000.
- 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.
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