AI Engineering Team Lead

We are hiring exceptional engineering leaders for Tenant Find and Growth. Each leader will own an area: its technical direction, product delivery, and the organisation needed to build it. We expect these areas to grow significantly. You will start close to the work and build towards a team of 7–10 engineers, hiring and developing the team, growing new leaders, and evolving its structure as the scope expands. You will work closely with product and operations, turn messy agency processes into reliable systems, and make decisions independently. You will remain hands-on in architecture, code reviews, debugging, and implementation where your involvement has the most impact.

Responsibilities

Partner with product and operations on priorities, scope, and delivery, owning the path from problem definition to production and measurable business impact; Lead the delivery of LLM and agentic workflows into production, owning quality evaluation, observability, human feedback, and safe fallbacks; Build the team's ability to use coding agents effectively, with strong context, automated reviews, tests, and verification; Guide architecture, integrations, data models, and legacy migration; Stay actively involved in building the product, writing production code, designing and implementing complex systems, and reviewing critical changes; Set clear expectations, give direct feedback, manage performance, and create an environment where people grow; Define the capabilities the area needs, own hiring and onboarding, and build a strong team; Shape team boundaries, responsibilities, and leadership as the area scales, developing engineers and future leaders; Resolve cross-team dependencies directly with other leaders and agree shared interfaces and standards

Requirements

Experience as a CTO, Senior Engineering Manager, or an engineering leader with comparable scope and accountability, having owned technical strategy, hiring, people development, and delivery through a meaningful period of growth; A demonstrated record of building and scaling strong engineering teams: hiring well, developing leaders, evolving organisational structure, and increasing team autonomy; Deep technical credibility built through designing, shipping, and operating complex production systems, with the ability to challenge architectural decisions and still get into the code when needed; Strong product and business judgment, connecting engineering priorities to operational efficiency, customer experience, and business economics; Strong backend and systems expertise, including APIs, SQL, integrations, and legacy evolution; hands-on experience with Node.js and TypeScript; Experience shipping and operating LLM or agentic products in production, with evidence of business impact, including understanding of tool use, orchestration, evaluation, and failure modes; Active use of coding agents and ability to raise the team's capability; High autonomy and the ability to lead through ambiguity, make difficult trade-offs, and align people across teams

Benefits

Hybrid working combining office time with working from home; Competitive salary; Potential for equity options based on performance