Product Director Engineering Advisory

As a Product Director you combine deep product leadership with strong handson engineering and AI architecture credibility to guide teams as an internal product engineering and agility consultancy. You work sidebyside with engineers to design build and evolve highquality solutionsleveraging 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 AIassisted development workflows while also aligning product design and delivery leaders on outcomes tradeoffs feasibility and longterm 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 AIenabled delivery.
• Lead the full product life cyclefrom discovery through delivery and continuous improvementby adapting approaches developing new capabilities managing risk and balancing cost features reusability reliability and scalability.
• Serve as a handson 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 AIassisted development code quality testing security and maintainability.
  • Ensure AI is used pragmatically to improve developer productivity and system outcomesnot as experimentation in isolation.
• Act as a coach for crossfunctional teams able to:
  • Pair with engineers review code shape architectural decisions and guide technical tradeoffs.
  • Align product design and delivery leaders on scope sequencing feasibility and value realization.
• Coach engineering teams on modern engineering and AIenabled practices including:
  • XP/TDD automated testing CI/CD trunkbased development.
  • Pair/mob programming and AIassisted coding workflows.
  • Reducing technical debt while clearly demonstrating business and operational impact.
• Drive adoption and evolution of operating models across the PDLC/SDLC embedding AIenabled ways of working and enabling teams to continuously improve delivery quality and operational excellence through datadriven inspection and adaptation.
• Coach and mentor product teams on solution generation discovery techniques experimentation prototyping and product adoption strategiesensuring strong collaboration between product and engineering in an AIaugmented environment.
• Own product and platform performance accountable for investing in enhancements that achieve business technical and operational objectives.
• Monitor market and technology trends including AIdriven development and platform capabilities to identify opportunities for differentiation and stepchange improvements in how products are built and delivered.

Required Qualifications Capabilities and Skills

• 10 years of experience delivering software products platforms or technology solutions with significant handson engineering responsibility.
• Demonstrated ability to lead and coach engineers through direct technical engagement combining:
  • Deep product leadership
  • Lean/Agile methodologies
  • Modern engineering practices (XP TDD CI/CD automation)
  • Applied AIassisted development (e.g. Claude Code or similar tools)
• Strong handson software engineering background with the ability to:
  • Read write and review production code.
  • Shape system and solution architecture.
  • Guide teams on pragmatic use of AI in real delivery contexts.
• Deep understanding of the product development life cycle technical design architecture and data/telemetry including how AI impacts these domains.
• Proven ability to influence and embed change across discovery ideation technical design delivery and value management in complex environments.
• Strong stakeholder management skills able to operate effectively across engineering product design risk and leadership audiences.

Preferred Qualifications Capabilities and Skills

• Prior experience operating in a highly matrixed complex enterprise environment.
• Fullstack development experience with exposure to modern cloudnative architectures.
• Experience establishing or scaling AIenabled engineering platforms or internal developer tooling.
• Demonstrated success leading teams through architectural modernization or AIdriven productivity transformations.