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Forward Deployed Engineer

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Onsite

Forward Deployed Engineer

Heyra

Forward Deployed Engineer

Skills

Google Cloud PlatformData EngineeringMachine LearningAIChange ManagementManagement ConsultingAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Copenhagen, Denmark

Work mode:

Onsite

Published on:

26 August 2026

What they need


Forward Deployed Engineer

Building keeps getting cheaper every quarter. What used to take a senior engineer a few weeks now takes an afternoon. The work that does not get cheaper is helping a real business absorb new technology, sequencing the rollout, and knowing when to slow down because something is starting to break under load.

At Heyra, we build AI systems, workflows, and data platforms that live in production from day one. We work with companies that are moving quickly and need solutions that hold up under real conditions.

We are looking for a Forward Deployed Engineer. Someone who goes into a client, understands the operation, spots where the real optimisation potential sits, and pushes it all the way through to execution with a strong engineering team behind them.

The role sits between engineering and consulting without fitting cleanly into either. You need to be technical enough to understand data and AI at a deep level. Commercial enough to spot where the business value sits. Patient enough to sit with a manager who is genuinely worried about the tool you just put in front of them. And stubborn enough to stay around once the launch excitement fades and the real adoption work begins.

Most people are strong in one of those. Some in two. Almost nobody walks in with all four. That is exactly the profile we are looking for.

What you will work on

You will embed directly with clients to understand the operation and where the real value sits. You will drive adoption by sequencing rollouts, working with the people who have to use the tool, and staying through the unglamorous part. You will translate business needs into AI solutions that actually ship. And you will learn when to push, when to slow down, and when something is starting to break under load.

You work closely with engineers, data specialists, strategists, and designers in a company where the distance from thinking to building is intentionally small.

Requirements

Experience with management consulting, change management, or adoption of AI solutions in production. An understanding of software development, ML or data engineering. Familiarity with AI and GenAI frameworks, possibly with some MLOps and evals exposure. Experience with cloud environments like Azure or GCP.

Coding with agents like Claude Code, Codex or Cursor. Working directly with clients and stakeholders. Owning delivery end to end, from a vague problem to a live, adopted solution.

Curiosity, taste and a builder mentality matter just as much to us as specific tools or years of experience.

Why Heyra

We believe consulting needs to be rewritten. We are building a consultancy designed for the agentic era. We design, build and operate AI products that change how enterprises work, from problem to prototype to production.

Heyra brings together people from engineering, strategy, product, startup and creative environments. We keep teams small, collaboration close and momentum high. We care deeply about craft, speed and building things that work in the real world.

People here care about what they build. Good ideas move quickly. New technology gets explored early. There is room to shape both the company and the way we work.

We are around 45 people today, and we are only just getting started.

If this sounds like your kind of work, send us a short note about yourself together with your CV. We care much more about curiosity, energy and the way you think than polished applications.

Benefits

  • Healthcare insurance
  • Pension plan
  • Parental leave
  • Social gatherings
  • New tech gear
  • Central office
  • Free lunch, coffee, snacks, and Friday beers
  • Skill development
  • Paid holiday
  • Remote work allowed
  • Pet friendly

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