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Senior Product Engineer

azumuta
Gand

Soumettre votre candidature

Détails de l'emploi

Avantages

Chèques repas
Assurance hospitalisation

Qualifications

Infrastructure cloud
Go
Node.js
MCP
React
Vision par ordinateur
MongoDB
.NET
Java
Master
Systèmes distribués
B2B
Production
SaaS
TypeScript
Python

Description complète du poste

️ About Azumuta

Manufacturing is entering its biggest transformation in decades.

For years, we’ve helped manufacturers digitize their operations through a platform used by leading manufacturers across Europe and North America. From digital work instructions and quality management to traceability, skills and operational excellence, we’ve helped thousands of operators perform their work better, faster and safer.
But we’re only getting started.

The next generation of manufacturing won’t be driven by software alone. It will be powered by AI that fundamentally changes how work gets done on the factory floor. We’re building a future where work instructions are generated automatically from engineering data, AI agents assist operators in real time, quality documentation is created autonomously, and repetitive administrative work simply disappears.

We’re not digitizing existing processes anymore. We’re redesigning manufacturing execution from the ground up.

Founded in 2016, Azumuta has grown into one of Europe’s leading Manufacturing SaaS scale-ups, working with some of the world’s most innovative manufacturers across industries including aerospace & defense, industrial machinery, automotive, electronics and medical devices.
We’re building what manufacturing will look like over the next decade. If that excites you, you’ll fit right in.

Ready to join our R&D team?

As a Senior Product Engineer, your role will focus on shaping the Azumuta product as part of a team, with growing ownership.

Strong full-stack engineers are very welcome. Backend-leaning engineers are equally welcome, because much of what we are building is deeply backend-shaped: AI agents and orchestration, structured execution data at granular depth, deep integrations with the IT systems our customers already run, multi-tenant and on-prem deployment topologies.

You are building toward a specialization, not expected to have fully arrived there yet.

Three concrete problems on our plate:

Work instructions from video. A process engineer records a short video of an operation; our system produces a structured, version-controlled instruction the team can review and ship.
A continuous-improvement agent. Dashboards already show deviations. We want an agent that proposes evidence-backed instruction changes: not "cycle time is up on station 3" but "rework concentrates on step 7, here is the fix and the data behind it."
Multi-level BOMs and nested assemblies. Industrial products are deeply nested; we handle the leaves but not the tree. Data model, variant rollup, integration with engineering data, routing. Foundational, and what unlocks our most variant-heavy customers.

The stack:

Our core stack today is Node.js, TypeScript, React, and MongoDB on cloud infrastructure.

The upcoming work stretches it significantly: LLM and agent orchestration, MCP-style tool use, computer vision for shop-floor verification, video understanding for instruction generation, software interfaces for robots and humanoids on the factory floor, observability and deployment across multi-tenant SaaS, private cloud, and on-prem / air-gapped factories.

Strong experience in Java, .NET, Go, Python or similar is fine. Mindset matters more than prior framework experience. Learning a stack is easier than learning how to think about software at scale.

About our platform

We are building the execution platform for hybrid manufacturing: the system that orchestrates work on the shop floor across humans, AI agents, and robotic systems.

The platform is used daily by thousands of operators across Europe to design, execute, and continuously improve work in high-mix, low-volume factories. The technical reality is rich: multi-level BOMs, variant-heavy product structures, sequence-dependent execution, version-controlled executable work.

And the bet on top is bigger: vision-based step verification, agentic execution supervision, autonomous continuous improvement, factory replay for model training. None of this is slideware. It is what we are building over the coming years.

Job requirements

You’re a great fit if you:

Are a builder who is growing into depth. +5 years building real software products, ideally a SaaS one. You have shipped to real users, broken things in production, and learned from it. Full-stack capable, with a developing specialization on one side:
- Backend: distributed systems, multi-tenant SaaS, APIs and integrations, data modeling.
- Frontend: complex application UX, real-time interfaces, performant data-dense dashboards.
Love building with modern AI. You are excited about agentic development, not skeptical. If you are not yet using an agent-based coding tool daily, this role is not the right fit right now. You already use Claude Code, Cursor, or similar agent-based tools in your daily work to plan, write code, and test. You want to push further and you are actively learning: what agent loops look like in practice, how to think about prompt and context engineering, what makes an AI-assisted workflow actually reliable.

Have a continuous improvement mindset. You see how the team works as something to be improved, not accepted. Tooling, processes, feedback loops, all of it. Some examples:
- If our p90 cycle time is 10 days and you do not find that annoying, this role is not for you.
- If you cannot run the full test suite efficiently before merging a PR and that is fine with you, same answer.

Bring concrete proposals, not just complaints.

Are pragmatic, driven, honest. You say what you think, including when it is uncomfortable. You take feedback the same way. You take ownership. When something is broken, you do not wait for someone else to pick it up.
Want to work in a team. You explain your work clearly to the people around you and can disagree in a way that moves the conversation forward. You learn actively from the engineers you work with. If your default mode is to disappear into headphones for two weeks and resurface with a PR nobody can review, this is not the right place for you.
Bonus, not required. Experience in B2B SaaS or manufacturing / industrial software. Experience with our stack.

What’s In It for You?

On top of a competitive salary, we offer a range of benefits to support your well-being and growth:

Meal vouchers – Enjoy daily meal perks.

Healthcare benefits – Including Alan daily care & hospitalization insurance.

Flexibility & balance – Flexible hours with in-office collaboration (please note, this is not a remote position!).

Top-notch equipment – The best tools and tech to help you succeed.

A key role in a fast-growing scale-up – Join an ambitious international team with endless learning and growth opportunities.

Ownership & impact – Take on real responsibility and make a difference from day one.

Fun & team spirit – Regular team-building activities and a vibrant company culture.

Unlimited snacks & drinks – Because great work deserves great fuel!

Awesome Azumuta merch – Represent the team in style!

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Ready to join our R&D team?

Three concrete problems on our plate:

The stack:

About our platform

Job requirements

You’re a great fit if you:

What’s In It for You?

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