Senior Product Engineer in Huddersfield

Katchr is looking for a Senior Product Engineer to own technical solutions from problem definition through to delivery. You'll combine product judgement with strong software engineering, and use AI to deliver faster without compromising quality or accountability. This isn't a role for someone who wants a detailed spec handed over. You'll work with Product Management to understand what needs solving, shape the smallest useful solution, and see it through until it's ready for deployment. It's a role with real influence. In a small team, your judgement and ideas will make a visible difference to how the product works and how the team operates. You'll take responsibility for an established product that clients rely on every day, and have the opportunity to help shape what comes next as Katchr broadens into data-platform and AI-enabled capabilities.

Why this role exists

To turn customer and business problems into valuable, reliable software. Your primary engineering focus will be Katchr's core dashboard product: not just the dashboard UI, but the data platform and integrations underneath it. You'll also contribute to newer data-platform and AI initiatives.

The team and technology

You'll join a small, distributed engineering team, led by a recently appointed Engineering Team Lead and working closely with a dedicated Product Manager. Between them, the team covers:

• The dashboards: Katchr's proprietary core product, used daily by law firm leaders, finance teams and fee earners. It spans the dashboard interface and the data platform and integrations that power it, and will be your primary engineering focus.
• AI initiatives: new AI-enabled capabilities and projects.
• Development enablement: tools and best practice that help the wider business and support teams.

The core product combines proprietary dashboards built in C#, JavaScript and HTML with the data warehouse and integrations behind it. The technical direction is broadening towards data-platform tooling and AI-enabled features such as forecasting and chatbots. You'll need to be comfortable picking up new technologies as that direction evolves. The team uses AI for most code production. The job is less about writing every line by hand and more about shaping, validating and owning what gets built.

How we work

We're flexible on location. During onboarding, you'll spend more time face to face with the team, getting to know the product, the people and how we work. After that, the team comes together for planned team meetings, and the whole company meets up at quarterly gatherings.

Key responsibilities

• Understand the problem: Work with Product Management and stakeholders to clarify requirements, establish constraints and agree success criteria. Understand who the end users are and the value they get from the product.
• Shape the solution: Evaluate options, challenge assumptions and identify the smallest useful version.
• Lead the delivery: Break substantial features into manageable increments, identify dependencies, agree delivery expectations and coordinate with others where needed.
• Build reliable software: Design, implement and test changes that meet agreed engineering standards, fit the existing codebase and are ready for deployment.
• Use AI effectively: Use AI tools to accelerate development, while applying independent judgement and validating every output you rely on.
• Manage and communicate progress: Track commitments, make assumptions and risks visible, and raise scope or delivery changes early. If you're blocked, ask rather than wait.
• Improve team capability: Review work, give constructive feedback, mentor colleagues and share knowledge.

What you'll own

• Technical delivery: Taking agreed solutions through development and testing until they're ready for deployment, so they meet agreed requirements and success criteria.
• Requirement clarity: Spotting and resolving missing or ambiguous requirements with Product Management and stakeholders.
• Delivery commitments: Accountability for commitments agreed with Product Management and the Engineering Team Lead.
• Technical decisions: Making and explaining sound technical choices within your area, aligned with Katchr's architecture and standards.
• Software quality: Making sure delivered solutions are secure, reliable, maintainable and properly tested, including any AI-generated code.
• Technical problem-solving: Investigating issues, proposing ways forward and involving the right people when decisions or dependencies sit outside your control.

What success looks like

• The improvements you deliver solve the agreed customer or business need.
• Your work progresses independently, with effective collaboration and timely escalation.
• Delivery commitments are met consistently, with risks and changes communicated early.
• Solutions are well scoped, technically sound and delivered with minimal avoidable defects or rework.
• AI makes development faster without a drop in code quality, and you can explain and support every solution you deliver.
• Colleagues become more capable through your reviews, mentoring and shared knowledge.

About you

We care more about demonstrated capability, attitude and progression than job title or years of service. That said, this isn't a junior role: you'll need enough hands-on experience to judge whether code, including AI-generated code, is right.

Essential

• Several years of commercial software development experience, ideally including C#, JavaScript and HTML.
• Practical, day-to-day use of AI development tools, with concrete examples of how you use them, not just which ones.
• The judgement to assess AI-generated output, shape it into a supportable solution that fits an existing codebase, spot the risks and explain the implementation technically.
• A track record of owning problems end to end, from discovery through to delivery.
• Confidence working with incomplete requirements: asking good questions, challenging assumptions and defining a minimum viable product with a Product Manager.
• Genuine interest in the end user and the value they get from the product, not just the technical build.
• A record of embracing new technologies and adapting when the technical direction changes.
• Clear, proactive communication. You raise blockers early and work productively and independently in between.

Bonus points for

• Experience in a growth-stage B2B SaaS or technology-platform business. This matters more to us than legal-sector experience, which isn't required.
• Experience with data warehouses or data-platform tooling.
• Exposure to AI-enabled product features such as forecasting or chatbots.
• Experience reviewing code and mentoring other developers.
• Actively following developments in AI and modern development practice.

Salary & Benefits

£62,000 - £72,000 per annum (dependant on experience)

Annual profit share.

Private healthcare and rewards.

Flexible working.

Loyalty holiday bonus.

5% employer pension contribution.

Equal Opportunities

We're committed to creating an inclusive environment where everyone feels welcome, respected and able to do their best work.