EDITED

Edited provides AI-powered retail intelligence software for fashion brands and retailers.

101-250 employees

Founded 2009

$15M series unknown

Artificial Intelligence (AI)

Private Company

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Artificial Intelligence (AI)E-Commerce Machine Learning Analytics Retail Technology

Open Positions4

Location: Remote, USAFull-TimeRetail intelligencePosted

Retail Strategist

Own a multi-million dollar portfolio of retail clients and support successful adoption of the EDITED product suite.
Drive measurable return on investment for clients.
Create and deliver strategic workshops and training to help clients achieve business objectives using the EDITED product suite.
Recommend ways to integrate EDITED data by applying knowledge of processes in the retail ecosystem.
Partner with Account Managers to increase adoption, drive ROI, identify upsell opportunities, and retain and grow portfolio ARR.
Analyze product usage data to identify client risk and inform training priorities.
Explain EDITED's positioning, use cases, and value to clients.
Advocate for client needs and influence cross-functional partners internally and externally.

Data AnalysisTrainingClient relationship management+2 more

Showing 1 of 4 positions

About EDITED

EDITED pioneers AI-powered retail intelligence, equipping brands and retailers with real-time insights. Their platform offers crucial recommendations on assortment, pricing, and merchandising. You help companies like J. Crew, Puma, and Tommy Hilfiger increase margins and drive sales. EDITED's solutions serve over 200 leading brands across 40 countries, processing data to future-proof their business.

How We Work

EDITED fosters a dynamic, inclusive culture where creativity and collaboration thrive. They encourage initiative, innovation, and continuous growth among team members. You will find an environment that values diversity, transparency, and shared commitment to excellence. Everyone's voice is heard, and contributions are recognized, making for a truly supportive workplace.

Engineering at EDITED

You will build complex, production-ready AI agents and scalable systems. Engineers take full ownership of the ML lifecycle, from data exploration to architecting MLOps pipelines. This involves designing robust ML systems and multi-model AI agents to solve real-world retail challenges. You will lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance. This utilizes modern CI/CD and containerization practices, ensuring systems are scalable and reliable. Engineers build high-performance data pipelines for training and real-time inference. You will bridge cutting-edge research with pragmatic engineering, automating complex business workflows. This focus is specifically within the retail and e-commerce ecosystem.

Why Join Us

Drive measurable impact for global retail leaders using cutting-edge AI.
Shape the future of retail by connecting internal and external market data.
Work with flexible hours and a "work from anywhere" policy, supporting work-life balance.
Contribute to a diverse team, influencing product development with customer insights.

Benefits & Perks

25 days of paid time off + public holidays + 1 additional day per year of service.
Company-paid medical, dental, and vision insurance (almost all monthly premiums covered, HSA contributions).
401K with company match and stock options.
Access to Regus co-working offices across the country.
Enhanced parental leave policy.
Season Ticket Loan & Cycle to Work schemes.
Health Cash App and Employee Assistance Programme.

Tech Stack

widgetspaymentmxmobile

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