Director, Product Software Engineering – AI

Wolters Kluwer

. Define and execute the engineering vision, strategy, and roadmap for Firm Intelligence products and platforms .

Posted 10/22/2026full-timeRemote • United StatesLead💰 $179,200 - $320,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing engineering vision and strategy, with a strong focus on cloud-native applications, AI capabilities, and modern software architecture. Proven ability to lead and develop high-performing engineering teams while fostering a culture of innovation and continuous improvement.

Highest-signal resume keywords

Cloud-Native Software DevelopmentAI-Enabled Product DevelopmentEngineering LeadershipAgile Delivery MethodologiesStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringModern Software ArchitectureAPIsDevOpsCI/CDAutomationAI Development ToolsData-Driven Decision MakingOrganizational StrategyEngineering Standards

Soft Skills

Executive CommunicationMentorshipCollaborationInnovationAccountability

Tools & Technologies

AzureAWSGoogle CloudGitHub CopilotCursor

Industry Keywords

Engineering VisionProduct StrategyOrganizational TransformationCustomer-Centric DevelopmentMatrixed Enterprise Environment

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

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 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 experimentation, rapid learning, and continuous improvement
Collaborate with customers, product leaders, and business stakeholders to translate challenges into innovative technology solutions
Use 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 encouraging innovation, accountability, and continuous learning
Manage budgets, resource planning, and organizational priorities to support strategic growth

Requirements

What you’ll need

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

Benefits

Comp & perks

Bonus eligibility
Medical, Dental, & Vision Plans
401(k)
FSA/HSA
Commuter Benefits
Tuition Assistance Plan
Vacation and Sick Time
Paid Parental Leave