Director of AI-Driven Product Engineering

Wolters Kluwer

Trenton (NJ)

Vor Ort

USD 179.000 - 320.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical, Dental, Vision plans
401(k)
Tuition assistance
Vacation and sick time
Paid parental leave
Commuter benefits

Zusammenfassung

Wolters Kluwer seeks a Director, Product Software Engineering - AI to lead strategy, development, and delivery of AI-powered software at scale. You will build high-performing teams and partner with Product, Architecture, and business leaders to translate customer needs into measurable technology outcomes.

The role requires strong leadership, cloud-native engineering expertise, and a track record of delivering innovative software in a matrixed enterprise, with a customer-first mindset and

Qualifikationen

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 10+ years of software engineering experience with progressive leadership responsibility.
  • 5+ years leading engineering managers and multiple software engineering teams.
  • Experience delivering cloud-native software products and platforms using Azure, AWS, or Google Cloud.
  • Strong understanding of modern software architecture, APIs, DevOps, CI/CD, automation, and Agile delivery methodologies.
  • Experience leading teams building AI-enabled products.
  • Familiarity with LLMs, RAG, agentic workflows, and AI governance.
  • Experience using AI development tools (GitHub Copilot, Cursor, etc.).
  • Customer-centric product development and co-design experience
  • Experience driving engineering strategy and execution within a matrixed enterprise environment.
  • Demonstrated success building and scaling engineering organizations.
  • Strong executive communication, stakeholder management, and organizational leadership skills.

Aufgaben

  • Define and execute the engineering vision, strategy, and roadmap for Firm Intelligence products and platforms.
  • Lead multiple engineering teams and managers, ensuring alignment with business objectives and product strategy.
  • Drive organizational transformation through modern engineering, cloud, automation, and AI capabilities.
  • Establish engineering standards, development frameworks, and best practices that improve quality, speed, and scalability.
  • Champion the adoption of AI-enabled software development and intelligent product capabilities.
  • Partner with Product Management to identify opportunities where AI, automation, and advanced analytics can create measurable customer value.
  • Guide architectural decisions involving cloud-native applications, APIs, platform services, and AI-powered solutions.
  • Foster a culture of experimentation, rapid learning, and continuous improvement.
  • Collaborate closely with customers, product leaders, and business stakeholders to understand challenges and translate them into innovative technology solutions.
  • Ensure engineering teams remain focused on solving customer problems and delivering measurable outcomes.
  • Utilize data and operational metrics to drive product decisions, prioritize investments, and evaluate success.
  • Build, develop, and retain high-performing engineering leaders and teams.
  • Coach managers and senior engineers through mentorship, technical leadership, and career development.
  • Create an inclusive, collaborative culture that encourages innovation, accountability, and continuous learning.
  • Manage budgets, resource planning, and organizational priorities to support strategic growth.

Kenntnisse

Strategy & leadership
Cloud-native software
AI-enabled products
Executive communication
Agile / DevOps
Data-driven decision making

Ausbildung

Bachelor’s degree in CS/Engineering

Tools

GitHub Copilot
Cursor

Jobbeschreibung

Wolters Kluwer seeks a Director, Product Software Engineering - AI to lead strategy, development, and delivery of AI-powered software at scale. You will build high-performing teams and partner with Product, Architecture, and business leaders to translate customer needs into measurable technology outcomes.

The role requires strong leadership, cloud-native engineering expertise, and a track record of delivering innovative software in a matrixed enterprise, with a customer-first mindset and

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