ING

Technical Product Manager

ING Amsterdam, North Holland, Netherlands

Banking · 10,001+ employees

13 h ago Closes in 7d
product-manager Principal (10+ yrs) Full-time Netherlands
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About the role

The Technical Product Manager will lead the engineering vision and implementation of AI-driven productivity capabilities across the global digital workplace. They are responsible for architecting enterprise-grade AI systems, managing delivery roadmaps, and advising executive leadership on technology strategy.

What they look for

Technical Product Management Software Engineering Artificial Intelligence Microsoft 365 Copilot Enterprise Architecture Cloud Platforms Zero Trust Security Data Governance DevSecOps Site Reliability Engineering API Integration Infrastructure as Code Stakeholder Management Change Management Generative AI

Requirements

Candidates must have over 10 years of enterprise engineering experience, including at least 5 years in large-scale platform operations. Deep hands-on expertise in Microsoft 365 architecture, AI agent development, and complex technology transformation is required.

Benefits

25-28 vacation days Pension scheme 13th month salary 8% Holiday payment Hybrid working Personal growth

Full description

We are looking for a Technical Product Manager to drive our engineering vision for the AI for Employee productivity area.  

Who we are

We are Global Digital Workplace at ING and deliver digital workplace services for colleagues worldwide, enabling them to work simply and safely with any device, wherever they are. The existing JD structure describes Global Digital Workplace as delivering services such as laptops, desktops, mobile and fixed telephony, video conferencing, digital workplace software and the infrastructure/support for these services.

This role is for someone who is a senior software engineer who can also operate as a senior expert, transformation lead, trusted advisor and sounding board at the same time: someone who brings structure to ambiguity, creates movement across domains, and helps leaders make better decisions while being a technical expert within the area.

Roles and Responsibilities

A successful Technical Product Manager will:

  • You are a senior software engineer capable of developing code, architecting solutions and integrating complex environments.
  • Lead the implementation of the Target Operating Model for AI for employee productivity, together with our business partner ING Analytics.
  • Translate the AI productivity strategy into clear delivery roadmaps, operating model choices, governance, adoption plans and measurable outcomes.
  • Act as a senior sounding board for tech teams, product teams, employee experience teams and business partners.
  • Connect multiple domains and stakeholders to deliver cross-domain initiatives with clear ownership, decision-making and momentum.
  • Bring structure to complex transformation topics by turning ambiguity into clear plans, decision papers, storylines and implementation steps.
  • Use data, insights and feedback loops to identify opportunities for productivity improvement and better employee journeys.
  • Ensure change initiatives are delivered with attention to risk, security, compliance, adoption, communication and sustainable operations.
  • Contribute actively to the MT WPS agenda by bringing thought leadership, challenge, execution discipline and senior stakeholder alignment.

What will you do?

Leadership & Delivery Accountability

Accountable for end-to-end delivery of AI-driven capabilities through your engineering team

  • Translate product priorities into clear engineering approach, architecture, and delivery plans
  • Lead, coach, and develop engineers together with Chapter Lead
  • Ensure quality, reliability, and scalability of solutions in production
  • Manage delivery performance, resolve blockers, and intervene when off-track

AI Engineering & Technical Leadership

You will personally shape the technical direction of global AI initiatives:

  • Architect enterprise-grade AI and multi-agent systems (Copilot, GenAI agents, orchestration frameworks)
  • Lead design of agentic workflows (multi-agent reasoning, routing, integrations)
  • Define and implement AI platform architecture, RAG pipelines, and integrations with enterprise systems
  • Ensure AI systems are scalable, secure, observable, and compliant
  • Drive technical decision-making, architecture reviews, and engineering standards

AI Product Engineering & Integration

  • Build and scale Copilot / M365 agents and enterprise AI use-cases
  • Design API-driven integrations with systems (ServiceNow, Azure DevOps, M365, Graph, Workday, etc)
  • Implement AI-enabled workflows embedded in enterprise platforms and Software Development Lifecycle (SDLC) processes
  • Define measurement frameworks, evaluation metrics, and feedback loops for AI systems

Secure AI Platform Leadership

  • Ensure AI systems are scalable, secure, observable, and compliant
  • Leads the engineering strategy for enterprise AI productivity platforms including Microsoft 365 Copilot, Copilot Studio, AI Agents and future Generative AI workplace solutions.
  • Defines enterprise controls for secure AI adoption including oversharing prevention, data classification, DSPM, DLP, Information Protection, Insider Risk Management and AI governance.
  • Partners with Security Architecture, CISO, Risk, Compliance and Legal teams to ensure responsible AI implementation.
  • Ensure AI reliability, monitoring, and continuous improvement loops
  • Drive AI safety, governance, observability, and risk mitigation frameworks
  • Guarantee compliance with security, data protection, and regulatory standards

Executive Stakeholder Leadership

  • Advises CIO, CTO, CISO and executive leadership on workplace technology strategy.
  • Represents ING in strategic engagements with Microsoft senior engineering and product leadership.
  • Influences enterprise-wide investment decisions for productivity, collaboration, AI and data protection capabilities.
  • Translates business strategy into engineering roadmaps and technology investment plans.

Proven Experience:

Required Technical Experience

  • 10+ years of enterprise engineering experience with at least 5 years designing and operating large-scale workplace or cloud platforms.
  • Proven experience leading engineering organizations responsible for mission-critical platforms supporting tens of thousands of users globally.
  • Deep hands-on expertise across Microsoft 365 architecture including:• Exchange Online
  • SharePoint Online
  • OneDrive
  • Teams
  • Viva Suite
  • Microsoft 365 Copilot
  • Copilot Studio
  • Microsoft Purview
  • Entra ID
  • Power Platform
  • Demonstrated expertise in:• Enterprise Architecture
  • Zero Trust Security
  • Identity and Access Management
  • Data Governance
  • Information Protection
  • Data Loss Prevention
  • Large-scale Cloud Transformation
  • API-based integrations
  • Automation and Infrastructure as Code
  • Experience leading complex technology transformations exceeding multiple millions in annual platform investment.

Engineering Excellence

  • Expert understanding of platform engineering principles.
  • Proven experience establishing engineering practices including:• DevSecOps
  • CI/CD
  • Site Reliability Engineering (SRE)
  • Observability
  • Platform Telemetry
  • Engineering Quality Metrics
  • Service Resilience Engineering
  • Strong automation mindset with experience using Infrastructure as Code, APIs and workflow automation at scale.
  • Demonstrated ability to use data, telemetry and business outcomes to guide technology decisions.

Product Engineering Leadership Experience

  • Senior IT Engineering Leader with proven experience leading large-scale engineering organizations
  • Software Engineer with hands-on technical development experience
  • Extensive experience developing complex AI agents using Google AI, Microsoft Copilot Studio, and Claude
  • Managing multiple people managers, including Chapter Leads, Squad Leads, and Product Managers
  • Partnering and collaborating with Board Members and executive leadership teams
  • Leading global taskforces across multiple domains, stakeholders, and countries
  • Creating, implementing, and operating new organizational and operating models across diverse business domains and geographies
  • Creating and executing multi-million-euro business cases
  • Working with senior stakeholder committees, including (AI Risk Committee, Non-Financial Risk Committee, CTO/CIO Management Teams, Management Board Bank)
  • Driving global transformation programs across multiple domains, stakeholders, and countries
  • Submitting, implementing, and managing complex AI use cases and accompanying business cases
  • Leading the execution of multi-million-euro IT insourcing and outsourcing contracts
  • Delivering strategic change initiatives with measurable business and technology outcomes across international organizations

Rewards and benefits We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

The benefits of working with us at ING include:

  • 25-28 vacation days depending on contract
  • Pension scheme
  • 13th month salary
  • 8% Holiday payment
  • Hybrid working
  • Personal growth and challenging work with endless possibilities
  • An informal working environment with innovative colleagues

About us Curious about how ING empowers people and businesses to move forward?

Discover what we do and what we can offer you.

Questions? Please visit our Frequently Asked Questions section to find some answers on questions you might have.

Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.

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