AI Engineering Manager (SaaS)

TL;DR

AI Engineering Manager (SaaS): Leading three engineering squads to build and deliver AI-powered features for accountancy and payroll software with an accent on technical leadership and AI-first development. Focus on coaching engineers, reviewing AI architectures (RAG, LLMs), and driving agile delivery outcomes.

Location: Hybrid (Warwick, UK)

Company

hirify.global provides a suite of industry-leading cloud-based software solutions designed for accountants and bookkeepers across the UK and Ireland.

What you will do

• Lead three engineering squads delivering AI-powered features into SaaS products for accountancy, payroll, and practice management.
• Provide genuine technical guidance and review architectural decisions to ensure sound technical direction.
• Champion AI-first development, ensuring developers and QAs use AI tools effectively in daily workflows.
• Run agile delivery with a focus on tangible outcomes rather than ceremonies.
• Coach, mentor, and grow engineers through structured 1:1s and honest feedback.
• Collaborate with product teams to translate business requirements into well-scoped technical work.

Requirements

• Proven background as a software engineer with experience writing production code.
• Experience managing and growing engineering teams.
• Deep understanding of AI concepts, including LLM functionality, RAG, and fine-tuning.
• Track record of delivering quality software, preferably in SaaS or e-commerce environments.
• Expertise in Agile software development and delivery.
• Must be based in or able to work in a hybrid capacity in Warwick, UK.

Nice to have

• Experience with .NET, C#, JavaScript, or Azure.
• Hands-on experience building AI-powered features.
• Background in accountancy, payroll, HR, or practice management software.
• Experience managing multiple teams simultaneously.

Culture & Benefits

• Inclusive and supportive workplace where equal opportunities are championed.
• Strong focus on employee growth and professional development.
• Modern, cloud-first environment building real-world AI applications.
• Culture of dignity, respect, and empowerment for all staff.

Hiring process

• Initial screening call with Talent Acquisition.
• Three rounds of interviews to assess technical and leadership fit.
• Reference check followed by the offer stage.