Product Director - Engineering Advisory
On-site · Plano, Texas, United States
Job Summary
Product Director - Engineering Advisory leads and coaches cross-functional teams to design, build, and evolve AI-enabled software platforms and products. The role blends hands-on engineering with high-level product leadership to architect AI-conscious solutions, establish best practices for AI-assisted development, and guide delivery across discovery through deployment. Responsibilities include owning roadmaps and delivery standards, shaping architectural decisions, enabling pair/mob programming and modern engineering practices (XP, TDD, CI/CD), driving AI-driven productivity and reducing technical debt, mentoring product teams on experimentation and adoption strategies, and monitoring market trends to differentiate and improve platform capabilities. Expertise in software engineering, AI-assisted development (Claude Code or similar), and scalable cloud-native architectures is essential, as is strong stakeholder management across engineering, product, design, risk, and leadership.
Required Qualifications
- 10+ years of experience delivering software products, platforms, or technology solutions, with significant hands-on 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 AI-assisted development (e.g., Claude Code or similar tools)
- Strong hands-on 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: experience in matrixed enterprise environments; full-stack development; cloud-native architectures; AI-enabled engineering platforms or internal developer tooling; architectural modernization or AI-driven productivity transformations
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