Director, Product Development Engineering

Description and Requirements

Location
:
Cary, North Carolina

Working Schedule
:
Full-Time

Work Arrangement
:
Hybrid (minimum 3 days per week in office)

Relocation Assistance Available
:
No

Posted Date
: 14-May-2026

Job : 17731

When you join Met Life’s Global Technology team, you’ll be part of a forward‑thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain, and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes.

Lead product‑aligned technology delivery for Retirement & Income Solutions (RIS) Annuity Products, overseeing engineering teams that build and modernize annuity platforms for Income Annuities, Pension Risk Transfer, and Structured Settlements with a focus on annuitant outcomes, product quality, resiliency, and speed‑to‑market.

• Serve as a technology and engineering leader aligned to RIS annuity product strategy, ensuring platforms are designed with the annuitant experience, reliability, and long‑term scalability in mind.
• Champion the adoption and scaling of high‑impact AI tools and emerging technologies across engineering and product teams, reinforcing AI‑first ways of working through leadership behavior, clear expectations, and personal example.
• Lead and inspire 50+ engineers across onshore and offshore teams, including employees and strategic partners.
• Hire, develop, coach, and retain top engineering talent; actively invest in upskilling teams in cloud, AI, and modern development practices.
• Drive end‑to‑end ownership of the product engineering lifecycle—from strategy and design through build, launch, and production support.
• Partner closely with Product Management and Business leaders to translate annuity product vision into clear technical roadmaps and prioritized delivery plans.
• Act as the key technology advisor, balancing business outcomes, technical health, regulatory needs, and annuitant impact while leading technical delivery across a modern stack including cloud‑native architectures, APIs, microservices, and event‑driven integrations.
• Establish and enforce engineering best practices across code quality, security, testing automation, performance, resiliency, and Dev Sec Ops .
• Identify delivery, technology, and operational risks; drive mitigations and audits to closure.
• Ensure solutions meet security, regulatory, and enterprise standards expected within platforms.
• Integrate Site Reliability Engineering (SRE) practices into product delivery to ensure production stability and strong annuitant outcomes.
• Own financial accountability for the product engineering portfolio, including budgeting and vendor spend.
• Utilize Speed & Delivery metrics, KPIs, and outcome‑based measures to continuously improve delivery effectiveness.
• Build a culture of ownership, accountability, learning, and continuous improvement.
• Manage vendor partnerships and ensure delivery quality, transparency, and value realization.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 10+ years of progressive experience in software engineering and product‑focused technology delivery.
• 5+ years leading large, distributed engineering teams in a product‑centric model.
• Demonstrated leadership in adopting, scaling, and operationalizing AI‑enabled tools and practices across engineering and product teams.
• Strong experience with cloud‑native platforms (preferably Azure), APIs, microservices, containers, and Dev Sec Ops .
• Proven ability to partner with Product Management, Architecture, and Business leaders to translate business needs into technology outcomes.
• Experience operating in regulated, high‑reliability environments with strong accountability for quality, security, and production stability.

• Direct experience supporting annuity, retirement, or other long‑duration financial products.
• Demonstrated leadership in scaling AI‑enabled engineering practices, such as AI‑assisted development, testing automation, intelligence‑driven documentation, or operational analytics.
• Experience…