Junior AI-Augmented Product Engineer

Salsify; EE. UU.; A distancia; USD 85.000 - 120.000; Jornada completa

Descripción de la vacante

Salsify seeks an early-career engineer to help build a new generation of internal AI-powered tools for global go-to-market teams. The role sits between product and engineering, partnering with a Platform Owner to gather requirements and verify quality.

You will translate business challenges into precise plans, author and maintain documentation, and orchestrate AI-assisted implementations with rigorous testing and architecture alignment.

Formación

• Interest in AI-augmented software development.
• Ability to frame ambiguous problems clearly in writing.
• Familiarity with modern software practices such as testing and code review.

Responsabilidades

• Translate business challenges into well-defined product and technical requirements.
• Author and maintain functional and technical specs, data flows, and acceptance criteria.
• Coordinate AI-assisted implementation and release cycles.
• Enforce architecture principles and quality gates during planning and validation.
• Run automated quality checks and diagnose issues with targeted fixes.
• Keep reference documentation up to date and surface ambiguities.

Conocimientos

AI development

Written comms

Documentation

Version control

Asynchronous work

Herramientas

Git

Python (optional)

Descripción del empleo

Role overview

An early-career engineer is needed to help build a new generation of internal AI-powered tools that support global go-to-market teams. The role sits between product and engineering, partnering with a Platform Owner to gather requirements, write rigorous specifications, orchestrate AI-assisted implementations, and verify quality against strict architectural standards.

Responsibilities

• Partner daily with the Platform Owner to translate business challenges into well-defined product and technical requirements, capturing edge cases, success metrics, and constraints.
• Author and maintain high-quality documentation including functional specs, technical specs, data flows, acceptance criteria, and architecture notes aligned to internal standards.
• Translate requirements into precise plans and instructions for AI-assisted implementation, coordinating iterative build-and-verify cycles.
• Enforce enterprise-grade design patterns, architecture principles, and quality gates during planning, implementation review, and validation.
• Run and troubleshoot automated quality checks such as type checking, linting, and tests, diagnosing issues and proposing targeted fixes.
• Keep system knowledge current by updating reference documentation, tracking changes across versions, and surfacing ambiguities for resolution.

Requirements

• Demonstrated interest in AI-augmented software development and comfort using advanced AI tools as a daily working partner.
• Strong written communication, structured reasoning, and documentation skills, with the ability to frame ambiguous problems clearly.
• Working familiarity with modern software development practices, including testing, code review, and version control.
• Comfort collaborating across US and EMEA time zones using asynchronous documentation and remote-friendly workflows.
• A bias for precision over speed of coding, with the ability to balance stakeholder demands from leaders and individual contributors.

Nice to have

• Prior internship, project, or open-source experience building internal tools or platforms.
• Exposure to enterprise architecture patterns, design systems, or large-scale engineering environments.
• Interest in growing into a product-engineering hybrid career path rather than a traditional implementation role.