Software Engineer

Akeneo is the leading AI-powered Product Data Platform that helps brands, manufacturers, distributors, and retailers unify product data and pricing to power better product experiences, smarter decisions, and business growth in an AI-driven commerce world.

We're all about experience - from the best-in-class product we build to the inspiring environment we create for our employees. You'll grow in a dynamic environment where your ideas and expertise will make an impact from day one. Our flexible work model empowers you to thrive, balancing professional success with personal fulfillment. At Akeneo, you’ll be part of a supportive and collaborative team that values open communication, shared successes, and meaningful relationships.

Learn more about our culture and values via our Career page.

The team and areas of ownership

The Digital Showroom team is reimagining B2B sales enablement, building a sophisticated platform that gives sales teams seamless, read-only access to rich product data sourced directly from Akeneo's PIM. Concretely, that means a multi-tenant SaaS application serving many organizations from one platform, each with isolated data that maps large, complex product datasets into a fast, searchable experience for business users.

You'll engineer the solutions that empower Sales Executives in e-commerce to find exactly the product information they need, instantly and, as the product grows, may extend into areas such as AI-powered natural-language search, private showrooms for sharing curated selections with external guest users, and integrations with CPQ Configure-Price-Quote) solutions.

How we work

We work as an Impact Team: a cross-functional group aligned around a specific,

measurable impact for our customers rather than a list of features to ship.

We work backwards from the customer, start small, and let experimentation and data, not opinions, guide what we build and what we choose not to build.

For each topic we set an appetite — the amount of time we're willing to invest —and ship the best version we can within it. In that environment, you:

• Favor an iterative, experiment-driven approach — ship small, learn fast, refine

• Take end-to-end ownership of what you build ("Built It, Own It")

• Solve complex, ambiguous problems and bring clarity to them

• Design and reason about distributed systems

• Stay performance-minded — latency, scale, and cost

• Give and receive feedback openly — we grow together

• Mentor and lift the people around you

• Communicate clearly with both technical and non-technical audiences

What you'll deliver in this role

• Shape the future of a massive serverless cloud environment by architecting scalable solutions on GCP, leveraging Node.js, React, and Next.js.

• Deliver high-quality software solutions by taking ownership of technical initiatives within your team's project domain, balancing short-term implementation with long-term maintainability.

• Proactively consider customer use cases and support tickets to identify edge cases, suggest improvements, and address customer pain points.

• Working cross-functionally with team members and key stakeholders across product initiatives.

• Grow into a senior engineer: actively participate in code reviews, pairing, and engaging with the wider Staff Engineering group.

What we'll set you up for success

• Hands-on Full-Stack Experience: Proficiency within a Cloud environment utilizing JavaScript/TypeScript ecosystem technologies (Node.js, React, Next.js) and GCP.

• Analytical Problem Solver: You dig deep to understand the "Why" behind requirements, uncover root causes during debugging, and leverage existing patterns rather than reinventing the wheel.

• Quality & Edge-Case Mindset: You treat quality as foundational, leveraging automated testing (TDD mindset) and proactively identifying edge cases before code hits production.

• Comfortable with Ambiguity: You thrive when given clear problems to solve with autonomy, knowing when to raise questions and ask for help when blocked.

• Data-Backed Communication: You communicate clearly, back your technical choices with data, and foster a collaborative environment through active listening and constructive debate.

• Pragmatic AI Practitioner: You use AI