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 DatologyAI, 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 Role

We are looking for an Account Executive to drive new business with strategic enterprise and mid-market customers. You will own the full sales cycle, from sourcing and qualification through close, and play a central role in shaping how DatologyAI goes to market.

This is a hands-on, outbound-driven role for someone excited to sell a technically sophisticated product to machine learning, data, and infrastructure teams. You will work closely with founders, research leadership, and solutions engineering to run technical evaluations, navigate complex buying committees, and convert early customer interest into long-term platform adoption.

You'd bring recent prospecting experience and a strong history of selling into ML-driven organizations. You’re comfortable navigating ambiguity, excited to build new territories and playbooks, and eager to influence messaging, ideal customer profiles, and sales motion as the company grows.

What You’ll Work On

• Run complex, technical sales cycles end-to-end, from first touch through close

• Sell a highly technical, ML-heavy product to sophisticated buyers by confidently engaging on concepts like model training, data quality, and ML infrastructure, while translating deep technical value into clear business outcomes

• Generate pipeline from scratch through hands-on outbound, account mapping, and technical persona–driven prospecting

• Design, test, and continuously iterate on outbound strategies, from ICP definition and account selection to messaging, sequencing, and channels

• Build trusted, hands-on relationships with deeply technical customers, including ML engineers, research scientists, infrastructure leads, and platform teams

• Navigate complex stakeholder environments and multi-thread deals across engineering, finance, security, and exec teams

• Translate DatologyAI’s technical capabilities into clear business value around training cost reduction, model quality, and faster iteration cycles

• Partner closely with internal stakeholders to run technical evaluations and proof-of-concepts

• Provide structured feedback to internal teams based on field learnings

About You

• 5+ years of sales experience with a consistent record of achieving quota and building pipeline from scratch; highly comfortable with outbound prospecting across cold calls, email, and social

• Experience selling into ML/AI, data, infra, or adjacent technical teams; understands how modern ML orgs evaluate tools and run pilots

• Thrive in early-stage environments where playbooks are still taking shape and are excited to help define messaging, ideal customer profiles, and outbound motion

• Enjoy doing hands-on market and customer research to find high-intent prospects, understand data challenges, and support early go-to-market efforts

Compensation

At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $225,000 to $250,000 OTE.

• 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.