Engineering Manager; Hands-On, Platform & Delivery

Position: Engineering Manager (Hands-On, Platform & Delivery)
Role Purpose

The Engineering Manager is responsible for building a high-performing, predictable, and scalable engineering function. This role combines people leadership, hands-on technical contribution, delivery management, Dev Ops oversight, and architectural stewardship in close partnership with the Technical Architect.

The Engineering Manager will lead engineering through a period of AI-enabled transformation, ensuring that modern AI-assisted development workflows increase speed and leverage without compromising quality, reliability, security, or architectural coherence. This includes treating AI adoption as a change-management and workflow-design challenge, not just a tooling upgrade.

Key Outcomes (12–18 Month Horizon)

• Engineering delivery is predictable, transparent, and well-paced

• Engineering productivity increases through disciplined, effective use of AI-assisted tooling

• AI-assisted development workflows are standardised, understood, and consistently applied

• Product discovery and design consistently stay at least one sprint ahead of delivery

• Tech leads operate with clear ownership and confident decision-making within agreed guardrails

• Engineering, CRM, Dev Ops, and operational teams work as a cohesive system

• Platform reliability, deployment confidence, and operational hygiene improve despite increased delivery velocity

• AI experimentation accelerates learning while production quality and safety remain stable

Core Responsibilities

1. Engineering Leadership & Team Management

• Lead and support multiple teams across engineering, QA, Dev Ops, CRM, and operations

• Foster a culture of accountability, clarity, continuous improvement, and ownership of outcomes

• Support engineers and leads as roles and practices evolve with AI-assisted development

2. AI-Assisted Engineering, Dev Ops & Change Enablement

• Lead AI adoption as a change-management initiative, addressing mindset, role evolution, and workflow redesign

• Define and evolve a standard AI-assisted delivery workflow (e.g. brainstorm → spec → build → verify → review → release)

• Establish guardrails to ensure AI increases speed without increasing risk, tech debt, or operational load

• Enable Product, CRM, and operational teams to use AI to improve intake quality, specification clarity, and validation

3. Delivery Management & Execution

• Own delivery orchestration across all engineering and engineering-adjacent teams

• Identify and resolve AI-amplified bottlenecks, including CI/CD speed, test reliability, validation, and review throughput

• Act as the primary point of accountability for delivery commitments and sequencing

4. Product Partnership & Discovery Enablement

• Ensure discovery stays ahead of delivery through strong partnership with Product and Design

• Define clear intake standards and explicit boundaries between experimentation and production delivery

5. Technical Contribution, Architecture & Dev Ops

• Provide valuable inputs during complex technical discussions and strategic decisions with engineering team

• Remain hands-on where appropriate in complex or high-impact areas

• Build and maintain context infrastructure that AI systems reliably consume, including standards, patterns, examples, and decision records

• Promote best practices across CI/CD, cloud infrastructure, reliability, and incident management

What Success Looks Like

• AI-assisted development is a trusted, normal part of daily work

• Delivery velocity increases without increased defects or incidents

• Product Managers focus on discovery rather than delivery coordination

• Stakeholders experience fewer surprises and clearer trade-offs

Required Experience & Capabilities

• 8+ years professional software engineering experience

• 3+ years engineering leadership experience

• Hands-on experience leading teams through AI-assisted development adoption

• Well versed with public cloud i.e. AWS/GCP and in sync with latest trends in AI landscape

• Strong judgement balancing speed, safety, and learning