Engineering Manager - AI Helpdesk
Leads and grows an engineering team building AI-first Helpdesk capabilities, partnering across Product, Design, Data, Customer Support, and AI/ML. The role requires strong people leadership, product engineering judgment, technical depth, and experience delivering reliable customer-facing software.
About the job
Responsibilities
- Lead and grow a high-performing engineering team building AI-first Helpdesk capabilities.
- Set clear goals and create the conditions for the team to deliver valuable, reliable product at a healthy pace.
- Partner with Product and Design to shape strategy, roadmap, priorities, and customer outcomes.
- Work with AI and ML partners while focusing on customer-facing product experiences.
- Understand the customer, agent, and business problems behind the roadmap.
- Provide technical judgment on architecture, quality, reliability, and long-term product health.
- Remove impediments, create clarity, and help the team make decisions with increasing autonomy.
- Build an inclusive, collaborative team culture with high standards for ownership, communication, and execution.
- Coach engineers and develop senior engineers into technical and organisational leaders.
- Contribute to AI Helpdesk strategy and align engineering decisions across adjacent teams.
- Explore AI-assisted development to improve team speed, quality, and effectiveness.
Requirements
- Experience managing software engineering teams building customer-facing products.
- Strong product engineering instincts and interest in customer problems, user experience, and measurable outcomes.
- Ability to shape strategy, prioritize effectively, and create clarity in ambiguous environments.
- Technical depth to engage credibly in architecture discussions, understand trade-offs, and unblock engineers.
- Track record of delivering complex work predictably while balancing speed, quality, and reliability.
- Experience partnering with Product, Design, Data, Customer Support, and senior stakeholders.
- Strong record of coaching engineers, developing senior talent, and building healthy, inclusive teams.
- Excellent written and verbal communication skills.
- Curiosity about AI-native products and AI-assisted software engineering.
- High degree of autonomy, sound judgment, and bias toward action.
Benefits and Compensation
- Competitive salary and equity in a fast-growing start-up.
- Lunch provided every weekday, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Pension scheme with matching up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBook or other suitable work equipment.
- Hybrid working policy requiring employees to be in the office at least three days per week.
Skills
AI, Machine Learning, Product Engineering, Software Architecture, Reliability Engineering, Product Management, Product Design, Data, Customer Support, Ai-Assisted Development
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