Product Director - Engineering Advisory

As a Product Director, you combine deep product leadership with strong hands-on engineering and AI architecture credibility to guide teams as an internal product, engineering, and agility consultancy.

You work side-by-side with engineers to design, build, and evolve high-quality solutions-leveraging modern software engineering practices and applied AI (including Claude Code and internal AI platform) to improve how value is designed, built, and delivered.

You act as a coach and technical leader, capable of going deep into code, architecture, and AI-assisted development workflows, while also aligning product, design, and delivery leaders on outcomes, trade-offs, feasibility, and long-term sustainability.

Job Responsibilities


* Own and evolve the product and platform roadmap, vision, development, execution, risk management, and business growth targets, with a strong emphasis on engineering excellence and AI-enabled delivery.


* Lead the full product life cycle-from discovery through delivery and continuous improvement-by adapting approaches, developing new capabilities, managing risk, and balancing cost, features, reusability, reliability, and scalability.


* Serve as a hands-on technical and AI leader, working directly with engineers to:
+ Architect solutions that effectively incorporate AI capabilities (e.g., Claude Code, internal LLMs).
+ Establish best practices for AI-assisted development, code quality, testing, security, and maintainability.
+ Ensure AI is used pragmatically to improve developer productivity and system outcomes-not as experimentation in isolation.


* Act as a coach for cross-functional teams, able to:
+ Pair with engineers, review code, shape architectural decisions, and guide technical trade-offs.
+ Align product, design, and delivery leaders on scope, sequencing, feasibility, and value realization.


* Coach engineering teams on modern engineering and AI-enabled practices, including:
+ XP/TDD, automated testing, CI/CD, trunk-based development.
+ Pair/mob programming and AI-assisted coding workflows.
+ Reducing technical debt while clearly demonstrating business and operational impact.


* Drive adoption and evolution of operating models across the PDLC/SDLC, embedding AI-enabled ways of working and enabling teams to continuously improve delivery, quality, and operational excellence through data-driven inspection and adaptation.


* Coach and mentor product teams on solution generation, discovery techniques, experimentation, prototyping, and product adoption strategies-ensuring strong collaboration between product and engineering in an AI-augmented environment.


* Own product and platform performance, accountable for investing in enhancements that achieve business, technical, and operational objectives.


* Monitor market and technology trends, including AI-driven development and platform capabilities, to iden...