---
title: 'AI Data Engineer at EDITED'
canonical: 'https://feeny.ai/job/ai-data-engineer-edited-sofia-bjwvw3ckhkf6'
type: 'job'
last_seen: '2026-09-17'
---

# AI Data Engineer at EDITED

- **Company:** EDITED
- **Location:** Sofia, Bulgaria
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-17
- **Last confirmed live:** 2026-09-17
- **Apply:** https://jobs.ashbyhq.com/edited/90aec002-864d-4b4b-95a9-07ce42cff287

## Job description

## About EDITED

EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power. By connecting internal business and external market data, EDITED infuses intelligence into every retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation. At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised. We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best.

Job Overview As our AI Data Engineer, you will run and improve the AI agents behind our data ingestion platform. You are the human in the loop.

At EDITED, you'll be part of our Product and Data team, working closely with our operations and QA leads, other software developers, retail specialists and designers to create data-driven solutions to our customers' problems. We've got huge scope to innovate and we always welcome fresh perspectives. You'll be able to make a big impact, and learn a huge amount during your time at EDITED.

We bring in the best candidates to meet our existing team and get to know them before making a hiring decision together.

## Responsibilities

- Run and improve the AI agents behind our data ingestion platform
- Act as the human in the loop, ensuring AI systems produce correct output
- Evaluate AI output using golden datasets, regression tests, precision and recall
- Read and analyze code produced by agents and retailer websites
- Judge AI-generated scrapers and data extraction processes
- Collaborate with operations and QA leads, software developers, retail specialists and designers
- Explain technical concepts to non-technical people, including clients

## Requirements and Qualifications

Essential:

- Degree in Computer Science, Information Systems or Mathematics, or experience in a software development, data engineering, data QA or software test role
- Quantitative mindset with a love of detailed problem solving
- Healthy skepticism towards anything an AI tells you
- Agile mindset, with a passion for collaboration, innovation, and continuous learning
- Preference for making AI systems produce correct output rather than writing everything by hand

Desirable:

- Proficiency in Python
- Background in backend or frontend development
- Hands-on use of LLM tools for real work, and opinions about where they fail
- Experience writing prompts or tool definitions for LLM-based systems, or exposure to agent frameworks
- Understanding of how to evaluate AI output: golden datasets, regression tests, precision and recall
- Web scraping experience (Scrapy, Playwright, Selenium or similar)
- Data QA or web application testing experience
- Linux and the command line, Git, Agile/Kanban
- Ability to explain technical concepts to non-technical people, including clients

## What We Offer

- Flexible working policy — start and finish when it suits you best, perfect for working parents
- Flexibility and understanding for big life events like the first day of school or school sports day
- Additional health insurance
- Free drinks in the office
- MultiSport card
- Gaming and relax areas
- Corporate discounts
- Employee referral program
- 25 days annual leave + public holidays, and an extra day for every year at EDITED At EDITED, we do not use AI to source, screen, or make decisions about candidates - every hiring decision is made by our team. We use Ashby, our applicant tracking system, which includes some automation for scheduling interviews and sending routine emails. We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

## About EDITED

## Company Overview
- **One-liner**: EDITED provides the world’s largest aggregation of global retail data, enabling retailers and brands to optimize pricing, assortments, and trends through an AI-powered Retail Intelligence platform.
- **Entity Type**: Private (funded stage: multiple venture rounds, latest round undisclosed)
- **Headquarters**: London, United Kingdom
- **Founded**: 2009
- **Founders**: Not publicly available (founder information is not disclosed on company pages)

## Core Business
- **Primary industry**: Retail Intelligence / AI-powered data analytics for retail
- **Target customers**: B2B – enterprise retailers, brands, and ecommerce teams (e.g., MANGO, PVH, PUMA, Harrods, Woolworths, Inditex, Columbia)
- **Mission or purpose statement**: “Stop explaining the past. Start shaping the future. The result is Retail Superintelligence.” – Focus on replacing descriptive analytics with predictive and prescriptive insights.

## Products & Services
EDITED offers six core product areas, each delivered as a SaaS platform:
- **[Assortment Precision](https://edited.com/)**: Optimize product assortments to reduce waste and increase sell-through.
- **[Pricing Precision](https://edited.com/)**: Smarter pricing and promotional decisions to protect margins.
- **[Competitive Benchmarking](https://edited.com/)**: Real‑time market position tracking and threat/opportunity identification.
- **[Trend Predictability](https://edited.com/)**: Early signal detection for emerging trends, enabling confident merchandising decisions.
- **[Product Positioning](https://edited.com/)**: Boost visibility and discoverability of products across channels.
- **[Customer Profitability](https://edited.com/)**: Understand what drives long‑term customer value and engagement.

Additionally, EDITED integrates with conversational AI tools (Claude, ChatGPT, Copilot) and offers automated reporting and native APIs.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Annual Revenue of **$18.6 M** (LinkedIn estimate, 2025 data); Total Funding of **$50 M** across 7 rounds
- **Notable Investors/Partners**: Index Ventures (led multiple rounds), Future Fifty (non‑equity assistance), and other institutional investors
- **Growth Signals**:
  - Acquired DynamicAction in 2021, consolidating prescriptive retail analytics.
  - Headcount of 96 employees (‑15% YoY, reflecting strategic restructuring or efficiency focus).
  - Proven customer impact: MANGO gained 900K online customers and 50% ecommerce revenue growth; Hollister created $500K+ incremental revenue; PVH increased sales by 27% and units sold by 31%; Harrods improved revenue per visitor by 4%; PUMA generated $200K additional revenue from option adjustments; Woolworths unlocked a 110% price increase opportunity.
  - Expansion into conversational AI integrations (Claude, ChatGPT, Copilot).

## Competitive Advantages
- **Data moat**: Aggregates 90,000+ brands and 5 billion+ SKUs, tracked daily – the largest known retail data set.
- **AI+ approach**: Combines proprietary retail data with generative AI for actionable, predictive intelligence (Retail Superintelligence).
- **Enterprise traction**: Deep partnerships with global retailers (Inditex, PVH, PUMA, Woolworths) and proven ROI figures.
- **Integration ecosystem**: Native integrations into popular AI assistants and tools, lowering adoption friction.
- **Leadership team**: Experienced tech executives (CEO Doug Kofoid – former CEO of DialogTech, built Google Ads 360 algorithm; CTO David Hartig – former CTO of Fluent Technologies, Workable; CPO Brian Tomz – led product at DynamicAction/eCom).

## Strategic Focus
- **Current priorities**: Shift from descriptive analytics to “Retail Superintelligence” – prescriptive, conversational, and automated insights.
- **Growth direction**: Deepening AI capabilities, expanding into new retail verticals and geographies (offices in New York, London, Sofia, plus teams in Spain, Australia, Canada).
- **Product roadmap**: Further integration with enterprise AI ecosystems and expansion of automated reporting and alerts.

## Why Work Here
- **Culture**: Core values of **P.A.S.S.I.O.N.** (Passionate, Evolving, Accountable, Kind – P.E.A.K.) – emphasis on continuous learning, ownership, and empathy.
- **Flexibility**: Hybrid working model with core hours; trust‑based scheduling. Offices in New York, London, and Sofia with in‑office events, snacks, game nights.
- **Time Off**: 25 days paid leave per year + local public holidays; generous paid sick leave for physical and mental wellness.
- **Benefits**: Pension/401(k) matching, learning & development budgets (courses, conferences, unlimited Go 1 access), enhanced parental leave (adoption, fostering, biological), fertility treatment leave, and an employee referral bonus program.
- **Hiring Process**: 4 stages – CV call (casual conversation), take‑home task (creative problem‑solving), skills interview with teammates, final round interview.
- **Open Roles**: Currently hiring for Account Manager (London), Retail Strategist (London & Remote USA), Staff Machine Learning Engineer (see [careers page](https://jobs.ashbyhq.com/edited)).

## Sources
1. [edited.com – About Us](https://edited.com/about-us/)
2. [edited.com – Careers](https://edited.com/careers/)
3. [edited.com – Homepage](https://edited.com/)
4. [builtin.com – EDITED Company Profile](https://builtin.com/company/edited)
5. [LinkedIn – EDITED Company Page](https://www.linkedin.com/company/edited)
6. [Jobs.ashbyhq.com – EDITED Openings](https://jobs.ashbyhq.com/edited)

## Other roles at EDITED

- [Customer Success Director EMEA](https://feeny.ai/job/customer-success-director-emea-edited-london-0ybyxrj7e3qx) — London, United Kingdom
- [Technical Sales Executive UK](https://feeny.ai/job/technical-sales-executive-uk-edited-london-qn245xq44ged) — London, United Kingdom
- [Technical Sales Executive US](https://feeny.ai/job/technical-sales-executive-us-edited-united-states-y39s4rqjzr64) — United States
- [Senior GTM Operations Manager](https://feeny.ai/job/senior-gtm-operations-manager-edited-london-7s0428348fdk) — London, United Kingdom
- [Customer Operations Specialist (12 Month FTC)](https://feeny.ai/job/customer-operations-specialist-12-month-ftc-edited-sofia-hc6vqnf1k5xp) — Sofia, Bulgaria
- [AI Data Engineer](https://feeny.ai/job/ai-data-engineer-muttdata-buenos-aires-qfvd7555n8na) — Buenos Aires, Argentina
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