Founding GTM Engineer - CMO track · Retailgrid (remote, EU/EET±2)

Retailgrid; Helsinki; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Retailgrid is seeking a Founding GTM Engineer on the CMO track to shape and execute go-to-market for an early-stage AI-driven retail data platform. This contract, hybrid role is based in Helsinki with flexibility for remote work.

You will build demos, run experiments, and translate retailer needs into product improvements and scalable GTM workflows. You will collaborate with the founding team on messaging, discovery, onboarding clients, and feedback loops to establish repeatable GTM processes as

Qualifications

• Experience bridging engineering and go-to-market functions.
• Ability to prototype retailer-facing solutions quickly.
• Background in GTM messaging and experiments for acquisition.

Responsibilities

• Shape and execute the go-to-market motion for an AI-driven retail platform.
• Build and iterate product demos and technical workflows for customers.
• Collaborate with the founding team on messaging and onboarding loops.

Skills

Sales engineering

Solutions engineering

Technical marketing

GTM strategy

AI products

Education

Bachelor's degree in Engineering or related field

Tools

Spreadsheets

BI tools

Data pipelines

Job description

Company Description

Retailgrid is an AI-powered workbook that helps retailers organize, enrich, and analyze product data in a single, streamlined workspace. Built as an Excel-like grid specifically for retail, it connects product, sales, pricing, and competitor data to deliver instant insights without complex configuration or IT involvement. The platform enables teams to replace messy spreadsheets and fragmented tools with a clean, intelligent environment that supports pricing, merchandising, demand forecasting, and everyday decisions. Retailgrid is designed to be simple, fast, and purpose-built for retail, giving modern retail organizations a practical way to apply AI to their data-driven workflows.

Role Description

As a Founding GTM Engineer on the CMO track at Retailgrid, you will be responsible for shaping and executing the go-to-market motion for an early-stage, AI-driven retail data platform. This is a contract, hybrid role based in Helsinki, with flexibility to work remotely part of the time. Day to day, you will build and iterate product demos, proof-of-concept implementations, and technical workflows that showcase Retailgrid’s value to prospective retail customers. You will collaborate closely with the founding team to design GTM experiments, refine messaging, and translate retailer needs into product improvements and data workflows. You will engage directly with customers and prospects, supporting discovery, solution design, onboarding, and feedback cycles, while laying the foundations for future marketing leadership and scalable GTM operations.

Qualifications

• Strong experience operating at the intersection of engineering and go-to-market, such as sales engineering, solutions engineering, or technical product marketing.
• Hands-on skills with data tools and workflows (e.g., spreadsheets, BI tools, data pipelines) and the ability to quickly prototype retailer-facing solutions.
• Background in GTM strategy and execution, including positioning, messaging, and running structured experiments for customer acquisition and activation.
• Familiarity with AI-powered products or analytics platforms, and comfort explaining technical capabilities in clear, practical business terms.
• Experience working with or selling into retail, e-commerce, or similar data-heavy environments is highly beneficial.
• Excellent written and verbal communication skills, with the ability to create compelling demos, presentations, and customer-facing materials.
• Proven ability to thrive in an early-stage, fast-moving startup, taking ownership and operating independently with minimal oversight.
• Comfort working in a hybrid setup in Helsinki (EU/EET±2), collaborating in person with the founding team while also working from home as needed.
• Bachelor’s degree in a relevant field (e.g., Engineering, Computer Science, Business, or related discipline) or equivalent practical experience.