
Director, Product Engineering
- AI
- DevSecOps
- Microservices
- Kubernetes
- IaC
- Devops
- CI/CD
- Agile
- GitHub
- Cursor
- Claude Code
- ChatGPT
- Large Language Models
- RAG
- Machine Learning
- Azure OpenAI
- OpenAI
- Anthropic Claude
- Azure AI
- Vertex AI
- Azure
- Docker
- Terraform
- Azure DevOps
- GitHub Actions
- AWS
The Director, Product Engineering is responsible for leading one or more product engineering organizations, building high-performing engineering teams, and delivering secure, scalable, reliable, and AI-enabled digital products that accelerate business outcomes.
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This leader is accountable forsupportingengineering strategy, product delivery, technical modernization, engineering excellence, organizational effectiveness, developer productivity, and continuous innovation across multiple products, platforms, and technology domains.
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The Director partners closely with Product Management, Architecture, Platform Engineering, Quality Engineering, Security, Data & AI, Infrastructure, and Business stakeholders tosupport technical strategy, execute product roadmaps, modernize engineering capabilities, and continuously improve software delivery performance.
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This role champions AI-assisted software engineering, cloud-native development, platform engineering, DevSecOps, engineering excellence, and modern software development practices while fostering a culture of ownership, software craftsmanship, innovation, customer obsession, accountability, and continuous learning.
Hybrid Role in Warsaw.
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Summary of Responsibilities:
- Lead multiple Product Engineering teams and Engineering Managers responsible for delivering enterprise products, platforms, APIs, and digital experiences aligned with business strategy and customer outcomes.
- Support and execute engineering strategy, delivery models, operating principles, and execution plans that support long-term product roadmaps and organizational objectives.
- Build world-class engineering organizations by recruiting, mentoring, coaching, and developing Engineering Managers, architects, technical leaders, and software engineers while establishing strong succession planning and leadership development programs.
- Partner with Product Management to maximize customer value through iterative product delivery, continuous discovery, customer feedback, experimentation, and data-driven prioritization.
- Drive successful execution of engineering initiatives while ensuring delivery predictability, software quality, security, scalability, operational readiness, customer satisfaction, and business value.
- Lead technical modernization initiatives including cloud-native development, microservices, event-driven architectures, API-first design, platform engineering, containers, Kubernetes, Infrastructure as Code, automation, and reusable engineering platforms.
- Champion adoption of AI-assisted software engineering tools and intelligent development practices that improve developer productivity, code quality, automated testing, documentation, release management, and engineering effectiveness.
- Partner with Data & AI teams to integrate Artificial Intelligence capabilities into customer-facing products, engineering platforms, and internal engineering workflows.
- Evaluate emerging technologies, AI platforms, engineering tools, frameworks, and software development practices that accelerate innovation and improve engineering outcomes.
- Support engineering excellence standards including software craftsmanship, coding standards, architecture governance, pull request quality, technical debt management, secure coding practices, release readiness, and continuous improvement.
- Improve developer experience through modern engineering tooling, reusable engineering platforms, automation, self-service capabilities, and streamlined software delivery processes.
- Partner with Platform Engineering, DevOps, Quality Engineering, and Security teams to support modern engineering platforms, CI/CD pipelines, DevSecOps practices, automated quality gates, and secure software delivery.
- Manage engineering health metrics, reliability objectives, observability, production readiness, operational support models, and continuous service improvement.
- Monitor engineering performance using DORA Metrics, deployment frequency, lead time for change, change failure rate, mean time to recovery (MTTR), engineering productivity, software quality, customer adoption, and operational performance indicators.
- Partner with Architecture teams to support technical strategy, evaluate technology investments, modernize application architecture, and ensure alignment with enterprise technology standards.
- Lead workforce planning, organizational design, recruiting, resource planning, capacity management, and vendor strategy to support product and business growth.
- Manage engineering risks, cross-team dependencies, issue resolution, stakeholder communication, and executive reporting.
- Foster a high-performance engineering culture focused on ownership, software craftsmanship, innovation, collaboration, customer obsession, accountability, continuous learning, and engineering excellence.
- Manage budgets, technology investments, vendor relationships, strategic partnerships, and engineering resource planning.
- Perform other duties as assigned.
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Qualifications (Minimum Required):
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or related discipline. Equivalent experience will be considered.
- Strong knowledge of modern software engineering, Product Engineering, cloud-native architectures, distributed systems, Agile methodologies, DevSecOps, Platform Engineering, and engineering excellence principles.
- Deep understanding of software architecture, microservices, API-first development, cloud computing, event-driven architectures, and scalable application design.
- Strong understanding of software quality, engineering governance, secure software development, operational excellence, reliability engineering, observability, and engineering modernization.
- Demonstrated ability to lead large-scale Product Engineering organizations, technology transformation initiatives, and globally distributed engineering teams.
- Strong executive communication, organizational leadership, stakeholder management, coaching, and strategic planning skills.
- Proven ability to influence business and technology leaders while driving organizational alignment and engineering transformation.
- Strong analytical, technical, and problem-solving skills with a focus on execution, customer value, innovation, and continuous improvement.
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Experience (Minimum Required):Â
- 10+ years of progressive software engineering, Product Engineering, platform engineering, cloud engineering, or related technology experience.
- 5+ years leading Engineering Managers, technical leaders, architects, or multiple software engineering organizations.
- Demonstrated experience delivering enterprise-scale digital products, customer-facing applications, APIs, and cloud-native platforms.
- Proven success leading engineering organizations responsible for the complete software development lifecycle including architecture, design, development, testing, deployment, production support, and continuous improvement.
- Experience implementing AI-assisted software engineering practices that improve developer productivity, software quality, delivery velocity, and engineering effectiveness.
- Experience driving engineering modernization including cloud migration, microservices, Kubernetes, containers, CI/CD, Infrastructure as Code, DevSecOps, Platform Engineering, and engineering automation.
- Experience supporting engineering standards, software craftsmanship practices, architecture governance, engineering maturity models, and technical excellence programs.
- Experience partnering with Product Management, Architecture, Platform Engineering, Data & AI, Security, Quality Engineering, Infrastructure, and Executive Leadership.
- Experience implementing engineering performance frameworks including DORA Metrics, engineering productivity measurements, software quality indicators, operational KPIs, and continuous improvement programs.
- Demonstrated success leading organizational transformation, technical modernization, cloud adoption, engineering culture initiatives, and software delivery improvements.
- Experience managing budgets, technology investments, workforce planning, vendor relationships, strategic sourcing, and organizational development.
- Experience building and leading globally distributed engineering organizations across multiple geographic regions.
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Preferred Qualifications Include:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Business Administration, or related field.
- Experience within healthcare, life sciences, clinical research, medical devices, digital health, or other highly regulated industries.
- Experience leading enterprise Product Engineering organizations responsible for customer-facing SaaS platforms, digital products, and enterprise applications.
- Experience implementing AI-assisted software engineering using GitHub Copilot Enterprise, GitHub Models, Cursor, Claude Code, Windsurf, ChatGPT Enterprise, or similar developer productivity platforms.
- Experience building AI-enabled products using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), conversational AI, AI agents, intelligent automation, recommendation engines, or machine learning services.
- Experience integrating Azure OpenAI, OpenAI APIs, Anthropic Claude, Azure AI Services, Google Vertex AI, or equivalent enterprise AI platforms.
- Familiarity with Responsible AI principles, prompt engineering, AI governance, model evaluation, AI security, and enterprise AI software development.
- Experience with Microsoft Azure, Kubernetes, Docker, Terraform, Azure DevOps, GitHub Actions, Platform Engineering, API Management, Infrastructure as Code, and cloud-native application development.
- Experience implementing Engineering Excellence, DevSecOps, Platform Engineering, Site Reliability Engineering (SRE), Developer Experience (DevEx), and engineering productivity initiatives.
- Relevant certifications in Cloud Architecture, Azure, AWS, Kubernetes, AI Engineering, Agile Delivery, Software Architecture, Technology Leadership, or related disciplines.
- Demonstrated success leading engineering transformation initiatives that improve software quality, developer productivity, engineering velocity, operational excellence, customer outcomes, and business value.
- Proven track record of developing future engineering leaders, building strong leadership benches, and creating high-performing engineering organizations recognized for innovation, technical excellence, and continuous improvement.
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Physical Demands / Work Environment:
Office/Home-Based:
Work Environment:
- Work is performed in an office environment with exposure to electrical office equipment.
- Occasional drives to site locations with occasional travel both domestic and international.
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Physical Requirements:
- Frequently stationary for 6-8 hours per day.
- Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists.
- Occasional crouching, stooping, with frequent bending and twisting of upper body and neck.
- Ability to access and use a variety of computer software developed both in-house and off-the-shelf.
- Light to moderate lifting and carrying, or moving of objects, including luggage and laptop computer with a maximum lift of 15-20 lbs.
- Regular and consistent attendance.
- Varied hours may be required.
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Director, Product Engineering · CMA Fortrea Patient Access Inc.