---
title: 'Talent Partner, GTM & Business at DatologyAI'
canonical: 'https://feeny.ai/job/talent-partner-gtm-business-datologyai-new-york-1eydxsekkva1'
type: 'job'
last_seen: '2026-11-07'
---

# Talent Partner, GTM & Business at DatologyAI

- **Company:** DatologyAI
- **Location:** New York, NY
- **Employment:** full-time
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-11-07
- **Apply:** https://jobs.ashbyhq.com/DatologyAI/5a213e15-caea-47d1-9b50-2d2b37bdb59b

## Job description

## 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 research on synthetic data scaling ([BeyondWeb](https://www.datologyai.com/blog/beyondweb)) and pretraining with domain-specific data ([The Finetuner’s Fallacy](https://www.datologyai.com/blog/finetuners-fallacy)).

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 NY.

## About the Role

As we scale, every go-to-market and business hire shapes how the world's leading AI teams discover, buy, and succeed with DatologyAI. We're looking for a Senior Talent Partner who is a builder at heart. Sales hiring is your core, and you're equally at home hiring across the business, from marketing and partnerships to operations and finance. You'll own these searches end to end, from role definition and talent mapping through assessment and close. You'll work side by side with our founders and business leaders as a true thought partner, shaping who we hire and how we hire them. You'll report to our Head of People.

## What You'll Work On

- Own full-cycle hiring across go-to-market and business roles, including Account Executives, Solutions Engineers, Customer Success, Marketing, Partnerships, Business Operations, Finance, and G&A
- Source top performers proactively, especially sellers who close technical, enterprise deals in AI and infrastructure
- Partner with leaders across functions to define what great looks like, calibrate on the bar, and design interview loops that predict success
- Assess for real performance: for sellers, attainment, deal size, and how they win; for business roles, scope, outcomes, and judgment
- Lead offer strategy and close candidates, including OTE, commission structure, equity, and competing offers
- Deliver a high-touch candidate experience that reflects how we treat people
- Track pipeline health with data and keep leaders informed
- Build scalable processes and playbooks as the business grows

## About You

- 6+ years of recruiting, with deep experience in sales and go-to-market hiring at a startup or high-growth tech company
- A proven track record hiring enterprise AEs, Solutions Engineers, FDE's, sales leaders, and more
- Range across business functions such as marketing, operations, finance, or partnerships
- A sharp eye for separating great performers from great interviewers
- Fluency in sales comp, including OTE, quota, ramp, and accelerators
- Confidence advising leaders and pushing back when it serves the outcome
- Comfort with ambiguity and a bias for building, measuring, and improving

## Compensation

At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $140,000 to $180,000.

- Starting pay is based on job-related skills, experience, qualifications, and interview performance.

## Benefits

- 100% covered health benefits (medical, vision, and dental).
- 401(k) plan with a generous 4% company match.
- Unlimited PTO policy
- Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.
- Annual $2,000 wellness stipend.
- Annual $1,000 learning and development stipend.
- Daily lunches and snacks are provided in our office!

## About DatologyAI

## Company Overview
- **One-liner**: DatologyAI provides an automated platform that curates training data for deep learning models, helping companies train better AI models faster and more cost-effectively.
- **Entity Type**: Private (Series A)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2023
- **Founders**: Ari Morcos (CEO), Bogdan Gaza (CTO), Matthew Leavitt

## Core Business
- **Primary industry/industries**: Artificial intelligence, Machine learning infrastructure, Data curation
- **Target customers**: B2B — Enterprises and AI teams training large-scale deep learning models across verticals
- **Mission or purpose statement**: "Democratize AI data curation, allowing every company to easily train its own custom model on the right data without needing to invest massive resources." [datologyai.com](https://www.datologyai.com/about)

## Products & Services
- **DatologyAI Platform**: A fully automated, scalable data curation platform that identifies redundant, noisy, or harmful data points in training datasets. It integrates with existing infrastructure (from blob storage to dataloader), is modality-agnostic (works for text, images, etc.), and requires no labels. The goal is to optimize training efficiency, maximize model performance, and reduce compute costs. [datologyai.com](https://www.datologyai.com/about)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding of $57.65M [cbinsights.com](https://www.cbinsights.com/company/datologyai)
- **Notable Investors/Partners**: M12 (Microsoft’s venture fund), Amplify Partners, Amazon Alexa Fund [datologyai.com](https://www.datologyai.com/about)
- **Growth Signals**: Founded in 2023 and already raised $57.65M (including a $46M Series A in 2024); backed by top-tier investors; founded by researchers with backgrounds at DeepMind, Meta AI (FAIR), and MosaicML (acquired by Databricks); cutting-edge research (80% novel and unpublished) directly powers the product.

## Competitive Advantages
- **Research-driven product**: The platform is built on frontier research in data curation for deep learning, with the team publishing novel techniques at top conferences (NeurIPS, ICLR).
- **Modality-agnostic & label-free**: Works across data types and doesn’t require labeled data, making it applicable to a wide range of use cases.
- **Deep technical team**: Founders bring expertise from leading AI labs (DeepMind, Meta AI, MosaicML) and large-scale infrastructure experience (Amazon, Twitter).
- **Customer-obsessed and scalable**: Designed to be easy to implement and generalize across models, directly reducing compute costs for customers.

## Strategic Focus
- **Product & research**: Continue to push the boundaries of data curation research and deploy it directly into the product to improve model efficiency and capability.
- **Customer success**: Deeply focus on customer problems and goals to drive adoption and success.
- **Scaling the team**: Actively hiring across engineering, research, sales, and product roles to grow the organization.

## Why Work Here
- **Impactful mission**: Solve the "biggest problem in AI model training" — data quality — with research that has real-world impact.
- **World-class team**: Work alongside researchers and engineers from DeepMind, Meta AI, and MosaicML.
- **Culture of research**: Engineering and research are deeply intertwined; ideas are deployed into production, not just published.
- **In-office culture**: HQ in Redwood City, CA, with a strong in-office expectation ("In-Office" listed for all roles on Built In). [builtin.com](https://builtin.com/company/datologyai)
- **Benefits**: 100% covered health benefits (medical, vision, dental), 401(k) with 4% match, unlimited PTO, $2,000 annual wellness stipend, $1,000 annual L&D stipend, daily lunch/snacks, dinner for late work, relocation assistance. [datologyai.com](https://www.datologyai.com/careers)
- **Fast-paced, high-growth environment**: A chance to grow fast and make a significant impact at a well-funded startup.

## Sources
1. [DatologyAI About Page](https://www.datologyai.com/about)
2. [DatologyAI Careers Page](https://www.datologyai.com/careers)
3. [Built In Company Profile](https://builtin.com/company/datologyai)
4. [CB Insights Company Profile](https://www.cbinsights.com/company/datologyai)
5. [LinkedIn Company Page](https://www.linkedin.com/company/datologyai)

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