---
title: 'Enterprise Account Executive – US at Datafold'
canonical: 'https://feeny.ai/job/enterprise-account-executive-us-datafold-united-states-fjcb3s1bq2ay'
type: 'job'
last_seen: '2026-10-19'
---

# Enterprise Account Executive – US at Datafold

- **Company:** Datafold
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/datafold/40ff3cd0-aac1-4215-b308-cc22bc6f9e07

## Job description

## About Datafold

Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects — such as data platform migrations — with AI, at a fixed price and a guaranteed timeline. We are not a typical software vendor or SI: we are a venture-backed company that reimagined automation from the ground up and delivers projects up to 6x faster than alternatives, disrupting the IT Services industry. We partner deeply with data platforms such as Databricks and Snowflake to source, co-sell, and deliver migrations at scale.

## About the role

Datafold is hiring an experienced Account Executive to own new business across the Eastern & Central regions of the US & Canada. This is a high-ownership, partner-led role. You'll sell a product where the outcome — a completed migration, on time, at a fixed price — is the contract. That's a fundamentally different conversation from traditional software sales, and it requires someone who can earn trust at both the technical and executive levels simultaneously. You will build and run your own pipeline through our data platform partnerships, own the full sales cycle from first call to signed contract, and work closely with our Forward Deployed Engineers to ensure a seamless handoff and customer experience.

## What you'll do

- Own the full sales cycle for new logos across Eastern & Central US and Canada: discovery, technical qualification, proposal, negotiation, and close
- Build and develop pipeline through our partner ecosystem (Databricks, Snowflake, GCP, dbt, Microsoft), including field co-sell, joint account planning, and partner-sourced introductions
- Run compelling discovery and value conversations with both data engineering leaders and executive buyers (VP/CTO level)
- Collaborate with Forward Deployed Data Engineers to scope migration projects, build SOWs, and set customer expectations on delivery
- Represent Datafold at partner events, field meetups, and customer briefings across the US & Canada
- Feed market and competitive intelligence back into product and GTM — you are close to customers and partners; your input shapes how we evolve

## What we're looking for

- 5+ years in enterprise software sales, with at least 2 years selling into the data/analytics space (data platforms, ETL/ELT, data engineering tooling, or adjacent)
- Proven track record closing new enterprise logos in the US & Canada
- Experience with a partner-led or co-sell motion
- Comfort with technical buyers: you don't need to write SQL, but you need to hold a credible conversation with a data engineering lead about migration complexity, risk, and timelines
- Outcome-based or professional services sales experience is a strong plus — selling a fixed-price deliverable is different from selling a SaaS license, and you understand why
- Self-starter with a builder mentality — we have a motion that works, but this is still an early EMEA team and you'll help define how it scales

## Compensation

Competitive base salary + uncapped commission and equity

Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.

## About Datafold

## Company Overview
- **One-liner**: Datafold is the AI-powered data engineering automation platform that helps data teams validate, migrate, and optimize data pipelines by combining specialized AI agents with a comprehensive data knowledge graph.
- **Entity Type**: Private (Startup; raised $26.2M total; Y Combinator Summer 2020)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Gleb Mezhanskiy (CEO) and Alex Morozov

## Core Business
- **Primary industry/industries**: Data Infrastructure and Analytics
- **Target customers**: B2B – data teams at companies of all sizes, from mid-market to enterprise (e.g., Patreon, Thumbtack, Substack, AngelList, Disney, Perplexity)
- **Mission or purpose statement**: “Empower data and analytics engineers” / “Automate the most complex parts of data engineering: migrations, optimization, CI/CD, and data quality.”

## Products & Services
Datafold offers an AI-powered platform with the following key offerings:

- **Data Knowledge Graph**: A context layer that surfaces lineage, business logic, usage, ontology, and organizational knowledge. Served via MCP (Model Context Protocol) to make AI coding agents reliable.
- **Data Diff and Monitoring (MCP)**: Automated data validation and reconciliation across data sources, exposed via MCP so coding agents can validate their own work and debug production issues.
- **Migration Agent**: AI-powered code translation combined with automated data validation, delivered as a service. Lift-and-shift or modernize pipelines with guaranteed price, timeline, and quality.
- **Optimization & Code Review Agents**: Specialized agents for data pipeline optimization, code reviews, and day-to-day tasks integrated into CI/CD and IDEs.
- **Governed LLM Inference**: Supports LLM inference endpoints approved by security/IT (AWS, GCP, Azure, Snowflake, Databricks) within customer VPCs.
- **Deployment**: Single-tenant / VPC deployment on AWS, GCP, or Azure; SOC 2 & HIPAA compliant.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue of **$4.5M** (estimated, per LinkedIn) and total funding of **$26.2M**
- **Notable Investors/Partners**: Y Combinator, NEA (New Enterprise Associates), Amplify Partners. Customers include Perplexity, Disney, Patreon, Thumbtack, Substack, AngelList.
- **Growth Signals**: 
  - Recent venture round of $4.0M in June 2025
  - Headquartered in New York with remote team across 7 countries (US, Germany, UK, Netherlands, Romania, France, Cyprus)
  - LinkedIn followers: 6,635 (growing ~0.7% monthly)
  - Talent drawn from top tech companies (Weights & Biases, Deliveroo, Zalando, Datadog alumni)
  - Team size ~18 employees on LinkedIn, 30 listed on Y Combinator profile

## Competitive Advantages
- **AI-first automation**: Combines specialized AI agents with a Data Knowledge Graph that provides deep context, enabling reliable code generation and migration.
- **Shift-left approach to data quality**: Inserts validation tools into existing workflows (CI/CD, IDEs) rather than adding a separate monitoring app.
- **Comprehensive context layer**: The Data Knowledge Graph captures lineage, business logic, and organizational knowledge – a moat that makes agents far more accurate.
- **Security & compliance**: SOC 2, HIPAA, single-tenant VPC deployment, and governed LLM inference, appealing to enterprise customers.
- **Proven outcomes**: Guaranteed price, timeline, and quality for migration projects (contractual SLAs).

## Strategic Focus
Datafold is focused on expanding its AI agent capabilities for data engineering, particularly in:
- Automating large-scale data platform migrations (e.g., cloud migrations, code translation)
- Building deeper integrations with AI coding agents (via MCP) to become the standard context layer
- Increasing adoption among enterprise data teams through security and compliance features
- Growing the global remote team and scaling go-to-market with a partnerships lead

## Why Work Here
- **Culture**: Asynchronous-first, remote work culture with global team spanning US and Europe. Values include “extreme ownership,” “ship early and often,” “empower others,” and “contribution to success.”
- **Work location**: Fully remote (US, NL, DE, AT, HR, PL, FI, EE, LV, LT, FR, GB, CY, BG, CZ, DK, GR, HU, RO, LU, MT, PT, ES, SK, SI, SE). Office optional in New York.
- **Compensation**: Competitive salaries ($110K – $200K range per YC) plus equity (0.10% – 0.20%). 
- **Engineering culture**: Small, impact-driven team where engineers own their craft and work on cutting-edge AI + data infrastructure. Tools like MCP, LLMs, and data diffing are core.
- **Perks**: “All-remote team of global data lovers,” async communication, high autonomy.

## Sources
1. [datafold.com](https://www.datafold.com/)
2. [datafold.com/about/](https://www.datafold.com/about/)
3. [ycombinator.com/companies/datafold](https://www.ycombinator.com/companies/datafold)
4. [linkedin.com/company/datafold](https://www.linkedin.com/company/datafold)

## Other roles at Datafold

- [Data Scientist - Migration Intelligence](https://feeny.ai/job/data-scientist-migration-intelligence-datafold-united-states-q766katvjtvj) — United States
- [Forward Deployed Data Engineer - Latin America](https://feeny.ai/job/forward-deployed-data-engineer-latin-america-datafold-south-d2r7v93javv0) — South, United States
- [Forward Deployed Data Engineer - US](https://feeny.ai/job/forward-deployed-data-engineer-us-datafold-united-states-rwmvz98mme1k) — United States
- [Forward Deployed Data Engineer - EU](https://feeny.ai/job/forward-deployed-data-engineer-eu-datafold-europe-am3wy37ymvcx) — Europe