Back to Search
Overview
Junior

Junior AI-Augmented Product Engineer

Confirmed live in the last 24 hours

Salsify

Salsify

Remote - Portugal
Hybrid
Posted April 22, 2026

Job Description

Come join a company who is a key leader in the industry scaling the next core commerce infrastructure and on the path from $100M to $500M! Founded in 2012, Salsify helps brand manufacturers, distributors, and retailers in over 80 countries collaborate to win on the digital shelf. As the market leader globally, our products are shopper-centric, frictionless, and create memorable commerce experiences. Our products provide a competitive edge through experiences that improve brand trust, amplify product differentiation and assortments, increase conversion rate, improve profit margins, and speed time to market.

Learn how the world’s largest brands, including Mars, L'Oreal, Coca-Cola, Bosch, and GSK, as well as retailers and distributors such as E.Leclerc, Carrefour, Metro, and Intermarché use Salsify everyday to stand out on the digital shelf.

At Salsify, we strive to embody an equitable, diverse, and inclusive company culture. We are united across countries, levels, tenures, and a host of other dimensions of diversity. We understand that while work is just one aspect of who we are, a truly inclusive culture accounts for the full authenticity of every single human being that works here. 

About the Opportunity

We are building next-generation internal AI-powered tools designed to empower our go-to-market teams with faster, more intelligent ways to understand customers, prioritize opportunities, and drive strategic decisions. As a Junior AI-Augmented Product Engineer, you’ll work hand-in-hand with the Platform Owner to shape and deliver new capabilities in an AI-first product development environment.

This is not a traditional hands-on coding role where you work independently on implementation. You’ll serve as a product-technical bridge: gathering and clarifying go-to-market business needs, framing problems, writing detailed functional and technical specifications, defining acceptance criteria, orchestrating AI-assisted changes through structured workflows, and verifying quality against strict architecture and design standards.

You will use advanced AI tools as your primary partner to accelerate from idea to verified delivery, while focusing on clear thinking, precise documentation, and cross-team alignment. The role requires strong collaboration, excellent written communication, command of AI usage with respect to software development, and comfort working across US and EMEA time zones.

This is a great fit for someone who enjoys translating business value into technical reality, thrives on structured reasoning and documentation, and wants to grow in a modern, AI-augmented product engineering practice.

How You'll Make an Impact

  • Partner daily with the Platform Owner to understand business challenges, stakeholder goals, and product priorities for internal tools that support go-to-market teams.
  • Lead or support requirements discovery (via calls, async docs, team meetings) to capture needs, edge cases, success metrics, and constraints.
  • Write and maintain high-quality product documentation: functional requirements, technical specifications, data flows, acceptance criteria, and architecture notes, adhering to established internal standards and patterns.
  • Turn requirements into clear, actionable plans and precise instructions for AI-assisted implementation; coordinate changes through iterative build-verify cycles.
  • Enforce consistent, enterprise-grade design patterns, architecture principles, and quality gates during planning, implementation review, and validation.
  • Participate in design and implementation reviews with a focus on correctness, maintainability, adherence to guidelines, and efficient use of AI workflows.
  • Run and troubleshoot automated quality checks (type checking, linting, tests); diagnose issues and propose targeted fixes.
  • Help keep system knowledge current: update reference documentation, track changes across versions, and surface ambiguities for resolution.
  • Support alignment with engineering, product, and go-to-market stakeholders across regions. Balance the demands of leaders with those of individual contributors.
reactnodetypescriptgorustaifrontendiosdataproduct