Product Engineer

What We Do

Conduct is reinventing how enterprises run their legacy software, solving a multi-billion-dollar problem at the core of global business and manufacturing. While the world’s largest enterprises still rely on decades-old systems, we bring them back to the technological frontier.

Our AI platform transforms weeks of manual system analysis into instant insights, turning customization chaos into clarity. We help industry leaders such as Daimler Truck ($40bn+ revenue) and Rittal ($3bn+ revenue) cut millions in IT costs, accelerate ERP project timelines by months, and unlock revenue faster with smarter systems.

We’re beginning with SAP, but that’s only the start. At Conduct, we are pioneering a new era of Enterprise System Intelligence and are on a mission to transform the entire enterprise stack.

We’re looking for AI-native product engineers
: excellent software engineers with exceptional instincts for working with LLMs.

You know how to prototype fast, tune prompts effectively, and build production-quality end-to-end features that matter. You’re not just interested in AI. You know how to ship with it and you bring the engineering skill to do it right.

At Conduct, we’re building tools to tackle one of the biggest and most underserved problems in IT: helping the world’s largest companies understand, maintain, and modernize the tens of millions of lines of custom code running on legacy ERP systems. The scale is enormous, and the opportunity even more so.

You’ll work across the full stack - shipping frontend UI, integrating LLMs and generative AI tooling, building backend logic - and operate in fast cycles with massive scope alongside a team that cares deeply about winning.

If you’re a great engineer with product obsession, LLM intuition, and the hunger to build something enduring, we’d love to talk.

• Inbound customer demand: We are seeing strong demand for new features. You will expand our ability to meet that demand with speed.

• Translating signal into product: You’ll be working closely with real users, turning raw feedback and behavioral insights into product experiences that truly land. Your work will shape the interface between LLMs and enterprise users at scale.

• Make LLMs feel magical: Many upcoming features rely on non-trivial LLM behaviour through complex agent pipelines. Your job is to make these complex workflows feel simple and seamless.

• Iterate in the unknown: Getting to great outcomes will take fast prototyping, instinct, and a lot of trial and error. There are no perfect solutions: just creative, persistent execution.

• Own the experience: You’ll ship full-stack features including UX, backend, and prompt logic. You’ll have a direct impact on how our most important customers experience the product.

We welcome candidates across all experience levels. What matters most is mindset: perseverance, curiosity, and a track record of shipping things that matter.

You should:

• Be an excellent software enginee
  r, or on a clear trajectory to become one, through demonstrated work and learning velocity.

• Be deeply excited and motivated about shipping product to users.

• Have strong product instincts and creative drive
  .

• Have a sharp intuition for working with LLMs
  , knowing how to prompt, tune, and integrate them into compelling user experiences and with evidence of this through work, side projects, or hackathons.

• Use AI tools as a natural part of daily development
  , understanding how to use them most effectively and when they should be avoided.

• Operate comfortably across the stack building UI, backend logic, and prompt workflows as needed.

• Learn fast, prototype even faster, and use customer feedback to guide iteration.

• Be high-agency, resourceful, and outcome-driven
  ; thriving in ambiguity and getting things done without waiting for permission.

• Be happy working in person with the team in our Fitzrovia, London office by default to build an exceptional company together.

We’re an engineering team that values strong fundamentals and fast iteration over experience with specific tools. That said, here’s a snapshot of the technologies most relevant to product engineers today:

• Languages &…