Business Operations Lead

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Redwood City, CA
In-Office
Artificial Intelligence • Software
The Role
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 strategic, execution-focused Business Operations Lead to build and scale the business and GTM infrastructure behind our rapid growth. You’ll work cross-functionally to drive operational excellence, support sales and customer success initiatives, and ensure the business runs smoothly. This is a high-impact role for someone who thrives in ambiguity, takes ownership, and and wants to operate as a force multiplier across the business during a critical stage of growth.

What You’ll Work On
  • Business Operations: Streamline internal processes, manage cross-functional initiatives, and ensure accountability across teams. Build systems that help the company run faster and smarter.

  • GTM Strategy & Execution: Partner closely with leadership on GTM planning, from pipeline management and sales ops to customer insights and enablement.

  • Vendor & Tool Management: Own key vendor relationships and evaluate tooling to support GTM and operational needs.

  • Revenue Operations: Track lead flow, sales funnel metrics, and customer lifecycle data. Support customer onboarding and engagement processes.

  • Finance & Compliance: Help manage budgeting, vendor invoicing, reimbursements, and tax compliance. Keep us aligned with financial and marketplace requirements.

About You
  • 5+ years of experience in business operations, ideally at a high-growth startup.

  • A systems thinker with strong project management chops — you bring structure to chaos.

  • Comfortable shifting between strategic planning and tactical execution.

  • Strong communicator who can work across sales, product, and leadership teams.

  • Datadriven, organized, and unafraid to own critical workstreams end-to-end.

  • You bring an owner’s mindset and love turning vision into operational reality.

Compensation

At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $150,000 to $200,000.

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

Benefits

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 paid time off (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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The Company
HQ: Redwood City, California
24 Employees
Year Founded: 2023

What We Do

DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.

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