Head of Engineering (Hybrid) at Automation Consultants

Theale, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

120000.0

Posted On

22 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Engineering Leadership, Technical Strategy, AI Tooling, LLM Integration, AWS, CI/CD, Full-stack Development, People Management, Architecture, Agile Practices, DORA Metrics, Product Planning, Security, Privacy, Stakeholder Management, Cloud-native Delivery

Industry

Information Technology & Services

Description

Your mission You’ll own engineering at AppFox: the team, the technical direction, the quality bar and the pace of delivery. Reporting to the Head of Product, you’ll be the senior technical voice in the business, and you’ll carry real autonomy with it: defined authority across the technical, financial and quality aspects of engineering, and the trust to make high-level calls within the company’s objectives. Engineering leadership & technical direction Own the technical direction of AppFox’s products and the new application (architecture, standards and tooling) and evolve them as the business and the technology landscape move. Bring breadth. Challenge how things are done today, introduce modern approaches and managed services where they earn their place, and make sure decisions are made on merit rather than habit. Hold the quality bar high. Protect and extend the team’s DORA high-performing practices (CI/CD, frequent small releases, strong review and testing discipline) without rebuilding what already works. Own delivery: planning, prioritisation and predictable shipping, in close partnership with Product. Be accountable for security, privacy and quality across the engineering org. People & leadership Lead, coach and grow a team of 13 engineers, including two team leads and a layer of lead engineers. Develop people deliberately, especially emerging leaders, creating space for them to grow rather than directing every outcome. Own the people side fully: performance, development, hiring and the difficult conversations. Build a culture of curiosity and outward-looking engineering, including industry awareness, meetups, new ideas brought in from outside. Strategy & cross-functional Partner closely with the Head of Product. Bring engineering reasoning to the table early and in the open, so decisions are made with shared understanding. Shape technical strategy and the resourcing of the initiatives that matter most, and advise on what’s feasible, what it costs, and where technical investment pays back commercially. Hold the senior relationships the role needs, across the business, and with Atlassian and monday.com on ecosystem direction. Where AI changes everything This is the part we care most about, and it’s why this role looks different from the one we’d have written even a year ago. It comes in two halves, and we need both. AI in how we build. The engineers who thrive over the next few years won’t treat AI as a novelty. They’ll use it as a force multiplier, and bring the rest of the team with them. You’ll set the standard: AI coding assistants and agentic development tooling (Claude Code, Cursor and the like) used daily and used well; AI-assisted review, testing and the automation of routine engineering toil; small agentic workflows that take repetitive work off the team. At a higher level, you will consider how AI can be used in identifying and remediating bottlenecks, and project management. The playbook is still being written, and we want the person driving it, not waiting for it. AI in what we build. Our products help teams govern, approve, optimise and manage content across Confluence, Jira, Miro and monday.com, and AI changes what those apps can do for customers. You’ll spot where AI adds genuine value across the portfolio - and, just as importantly, where it doesn’t, and lead the team to ship AI- and LLM-powered features that hold up in production: sound on evaluation, cost, latency and safety, not just impressive in a demo. You’ll also consider how external AI agents will affect our products and how the products should interact with them. Having built AI features yourself, or led teams that have, matters here. We don’t expect you to have every answer. We expect you to set the direction. Your profile You get your energy from craft and from growing people — watching someone go from uncertain to confident. You bring genuine breadth from real external experience. You’ve built software in different environments, stacks and teams, which is what lets you put real options on the table rather than one familiar path. You’re a coach, not a director. You ask good questions, create space for the team to work things out, and build capability. You genuinely enjoy senior leadership - the people complexity, the tough calls, the navigation. Not tolerate it; find it energising. You’re comfortable with ambiguity, you bring the clarity to your own remit and get on with it. You’re a thought partner. Handed a timeline, you don’t just nod and execute — you ask questions, bring trade-offs, and say “we could also do this.” You have emotional maturity and presence. You build trust quickly, listen before you change things, and are secure enough to disagree respectfully and move on. Your profile Essential A Computer Science or other strongly numerate degree, 2:1 or above. A proven track record of leading and growing software engineering teams, including direct people management through change. Non-negotiable. A broad hands-on background across multiple stacks, companies and problem types. Hands-on experience using AI tooling to accelerate engineering work, with a real point of view on where the discipline is heading. Experience building — or leading teams that have built — AI- or LLM-powered product features, with the judgement to know where AI earns its place. Strong grounding in modern full-stack development and cloud-native delivery on AWS, with the CI/CD and agile practices that keep a team performing at a high level. Enough technical credibility to challenge an architectural decision and be taken seriously. Breadth over depth, but real depth somewhere. Excellent communication, and the presence to operate credibly with both the team and company leadership. Nice to have Experience of the Atlassian and/or monday.com ecosystems — as a user, partner or vendor. Experience shipping software via marketplaces (Atlassian Marketplace, monday.com Apps, and similar). Hands-on with agentic development tooling beyond chat (Claude Code, Cursor, MCP-based workflows, and the like). Experience taking AI features to production at scale: evaluation, cost control, latency, safety. Why us? Backed by 20+ years of Atlassian expertise from our parent company, Automation Consultants, a Platinum Solution Partner and Atlassian Partner of the Year (App Innovator). We’re SOC 2 and ISO 27001 certified and a recognised UK Best Workplace. It’s a small team where your decisions land fast and your work reaches a serious customer base. Salary: £110,000–£120,000, depending on experience. Perks 33 days annual leave (including bank holidays) Hybrid working and flexible hours Private healthcare and dental insurance Enhanced maternity and paternity Personal training budget and dedicated development plan Electric car scheme and Cycle to Work Pension scheme On-site gym, showers, yoga and more Regular company-wide and team socials About us Automation Consultants is a leading agile and DevOps consultancy with a complementary software arm. Our consultancy services dedicated to improving our customers’ business performance through digital and agile transformation and automation of software development processes. Our software, which is sold under the AppFox name, complements these services. We are specialists in Atlassian and AWS, delivering industry-recognised automation solutions, software and managed services. Our customers range from start-ups to global organisations.

Responsibilities

Own the technical direction, quality, and delivery pace of AppFox products while leading and coaching a team of 13 engineers. Drive the integration of AI both in the engineering workflow and as a core feature of the product portfolio.