Engineering Manager - Lead People & Delivery (Hybrid)

PAIR; Greater London; Hybrid; GBP 94,000 - 140,000; Full time

Benefits offered by this job

Equity

Holiday 25 days + bank holidays

Learning opportunities with AI tools

Job summary

PAIR is hiring 2 Engineering Managers in London to lead product engineering teams, help engineers grow, and deliver ambitious work at pace.

You will own people development, coaching, and performance feedback, and partner with Product and Design to prioritise work, manage risk, and balance customer needs, quality and commercial commitments; strong technical judgement and AI awareness are valued.

Qualifications

• Proven track record in senior software roles or engineering management.
• Ownership of team delivery incl prioritisation, forecasting, risk and stakeholder communication.
• Coaching people, giving clear feedback and handling conflict or performance concerns.
• Technical depth to discuss system design and engineering risk with senior engineers.
• Strong product and commercial judgement, clear written and verbal communication, and comfort with ambiguity.
• Experience using AI to improve work with sensible boundaries around human judgement.
• Curiosity about AI and how it changes organisational work.

Responsibilities

• Develop people and maintain team health through 1:1s, development planning and performance management.
• Drive predictable product delivery with clear priorities, forecasts and risk communication.
• Provide technical judgement, improve processes and balance delivery with human judgement.

Skills

Senior software engineer or equivalent

Delivery ownership

Coaching & feedback

System design depth

Product & communication

AI experience

Curiosity about AI

Tools

Vue 3

TypeScript

Python

FastAPI

PostgreSQL

Azure

Terraform

GitHub Actions

OpenTelemetry

Job description

PAIR is hiring 2 Engineering Managers in London to lead product engineering teams, help engineers grow, and deliver ambitious work at pace.

You will own people development, coaching, and performance feedback, and partner with Product and Design to prioritise work, manage risk, and balance customer needs, quality and commercial commitments; strong technical judgement and AI awareness are valued.