Senior Product Manager
Location: Remote/Diemen HQ
Department: Randstad Enterprise, Digital Office, Product Discovery Team
Reports to: Head of Product Discovery & Innovation

About the Role
The Product Discovery team is building the future of work by integrating advanced AI capabilities and intelligent agents into our product ecosystem. In partnership with the Head of Product Discovery, the Senior Product Manager is responsible for the strategy and shaping the product vision.
This position will be responsible for the discovery, and delivery of our Lifecycle Intelligence Agent (Lia), an AI-first talent platform with agentic capabilities. You will define how autonomous agents collaborate with humans to solve talent problems end-to-end -while ensuring trust, control, and real-world impact.
You will guide discovery and make trade-offs across AI capability, user experience, and business outcomes. This role requires deep product judgement, strong AI fluency, and the ability to lead in ambiguity.

Key Responsibilities

Product Vision & Strategy
In partnership with the Head of Product Discovery, define and evolve the AI-first product strategy and vision (short term, medium term and long term) for Lia, balancing innovation with reliability, trust, and compliance
Define how AI-first capabilities, intelligent agents, and automation, support Randstad Enterprise business goals and transform the hiring lifecycle. Articulate how agentic systems create differentiated value for employers and candidates
Establish strategic priorities, outcome themes, and how the product differentiates against legacy tools
Using user research inputs and other data points, continuously identify unmet user needs, workflow friction, adoption barriers, and opportunity areas across sourcing, screening, assessments, and onboarding

Roadmap & prioritisation
The translation of product vision into a clear, outcome-driven roadmap, balancing short-term value delivery with scalable, long-term platform evolution
Define what is included, deferred, or removed from product releases to maintain focus, manage dependencies, and protect execution quality
Govern sequencing of initiatives across product features, AI capabilities, and platform foundations. Leverating JTBD framework as input for prioritization
Write clear product requirements and success metrics. Translate validated problems into clearly scoped product initiatives, including experience principles, AI behaviour expectations, and success criteria
Define the qualitative and quantitative ‘definition of done’ for agentic tasks, ensuring that AI responses meet Randstad branding requirements, including tone and language
Iterate the roadmap based on necessary inputs (product priorities, investments, product performance, AI behaviour and adoption outcomes)
Manage strategic trade-offs between new exciting AI & innovation ideas and core platform stability, ensuring the foundational data infrastructure can support advanced agentic behaviors
Own backlog prioritization and delivery outcomes

Agentic Product Design & Discovery
Partner with the Senior UX Designer and Product User Research and Adoption Manager to shape human-agent interaction models. Drive the design of how AI systems and intelligent agents are orchestrated within product experiences, including learning pathways, explainability patterns, and collaboration between humans and AI
Determine agent goals, boundaries, escalation paths, and success criteria
Define how AI-driven features and agentic capabilities operate in the product, including task scope, confidence thresholds, automation boundaries, and human-in-the-loop collaboration patterns
In partnership with the UX Designer and Engineering team, design mechanisms that ensure real-world usage, user feedback, and failure patterns continuously inform AI improvement and capability evolution. Iterate on agent behaviors based on real-world usage and feedback

Trust, Safety & Ethics
The establishment and operational enforcement of ethical and responsible AI design practices, including auditability, transparency, explainability, risk management, bias mitigation, user control, and regulatory readiness
Collaborate with Legal, Data Privacy and Compliance where required for guidance
Build user trust in autonomous behavior
Partner with Legal, Compliance and Data Privacy to anticipate the impact of the EU AI Act and other global regulations on Lia’s specific agentic workflows (e.g., automated screening)

Execution & Delivery
Make fast, informed decisions under uncertainty
Drive cross-functional alignment to ship high-impact capabilities
Oversee the engineering execution of product capabilities, platform development, AI integration, testing, and release management
Work cross-functionally with the product development team (UX designers, engineers, support, documentation, training team, and other related functions) and the wider team to deliver the roadmap

Engineering collaboration
Work closely with Product Engineering to:
define requirements and evaluation criteria
Prioritise AI investments - recommending buy/build decisions
Understand system constraints and trade-offs
Ensure product decisions are informed by AI performance, cost, and scalability

Customer advocacy & stakeholder collaboration
Work closely with service teams, sales, and customer success to align product strategy with company goals
Lead the requirement working groups and other key meetings with stakeholders to represent product in discussions
Champion customer needs by gathering feedback and ensuring product development aligns with strategic objectives

Go-To-Market Support
Partner with Product User Research and Adoption Manager, Product Transition Manager, our sales and services teams to develop effective messaging, positioning, and launch plans for new features and products
Preparation of product narrative, internal enablement, expectation-setting, and stakeholder alignment to support confident product rollout

Measurement & Iteration
Define, track and operationalise success metrics for:
Adoption (provided by Product User Research and Adoption Manager)
Agent effectiveness - measurable indicators to evaluate AI and product impact, including task success, reliability, explainability, trust signals, workflow effectiveness, and demonstrable customer value
Model performance monitoring - ongoing tracking of AI behaviour in live environments, including reliability, bias signals, drift, failure patterns, and trust indicators
User trust and satisfaction
Business impact - input to be provided by ExCo
Leverage data and analytics to track key product performance metrics and continuously optimize features.

Strategic Leadership & Operational Partnership
ExCo Engagement: Partner with the Head of Product Discovery to architect compelling narratives and strategic business cases for diverse stakeholders, including the Executive Committee (ExCo)
Operational Excellence: Drive the operational maturity of the Product Discovery team, ensuring high-velocity execution and the continuous professional development/mentorship of junior team members

Key Stakeholders
Head of Product Discovery
Product Discovery team members
Operations, Professional Services, and Service Design teams
Randstad Enterprise clients
Operations and Marketing
Randstad Enterprise ExCo
Global function leaders who oversee the Randstad Enterprise Group

What We’re Looking For

Education, Skills, and Experience
Bachelor's degree in Computer Science, Engineering, or a related technical field; an MBA or Master’s in a business-related field is highly preferred (or equivalent experience)
7+ years of Product Management experience, with at least 2–3 years specifically focused on AI-powered or data-intensive products
Practical experience in HR Tech, Recruitment Process Outsourcing (RPO), or Managed Service Provider (MSP) environments is a significant advantage
Proven track record of delivering products in a complex, global matrix organization across multiple geographies
Deep understanding of Large Language Models (LLMs), Agentic workflows (orchestration), and the current AI landscape (tools, APIs, and frameworks)
Skill in defining evaluation frameworks to measure AI accuracy, tone, and task success beyond simple qualitative testing
Demonstrated capability for problem-solving, decision-making, sound judgment, and assertiveness
Proven ability to balance refining a long-term strategy while ensuring the short-term deliverables are being managed within a fast-paced environment
Comfort working with ambiguous, evolving technology
Proven ability to influence cross-functional teams

Competencies
Good understanding of current product management best practices
Strong understanding of AI and agentic system capabilities and limits
Ability to design human-in-the-loop systems that balance AI autonomy with user control and trust
Ability to manage ambiguity - comfortable setting a North Star when the underlying technology (LLMs) is shifting every 3–6 months
Proven ability to translate complex technical AI-speak into value-driven narratives for C-suite and ExCo stakeholders
Ability to define and track non-traditional KPIs like Agent Task Success Rate, Explainability Scores, and Model Drift
Demonstrating an evidence-based decision making mindset - showcasing a track record of using prototypes and user research to kill low-value ideas quickly before they reach engineering
Coordinate the work of different product teams to deliver a consistent product portfolio
A ‘force multiplier’ mindset—expertly coordinating between UX, Engineering, Legal, and Go-To-Market teams to ship high-impact capabilities on time
Conceptual thinking and the potential to see the big picture
Analytical and strategic skills with good business judgment and problem-solving qualities
Proficiency in using product analytics tools and frameworks to measure product performance and feature adoption
Ability to develop and execute operational efficiency goals independently while still including key stakeholders to get alignment on the required change management
Ability to drive change and adapt quickly in an agile environment
Strong results orientation and a tireless work ethic, tenacious, with the emotional intelligence to know when to push harder and when to look for alternatives
Confident in pushing back on stakeholders or ideas that don't align with the strategic ‘AI-first’ vision
Highly self-motivated with a strong work ethic and a passion for building, running, and being part of a diverse, global team
A tireless desire to stay ahead of AI trends while remaining grounded in user reality

Why Join Us?
At Randstad Enterprise, you will be shaping the next generation of AI-powered solutions that transform the way people and organizations work. You will play a pivotal role in ensuring our products not only reach customers but also become indispensable to their success.
If you’re ready to champion user adoption and unlock the full potential of AI-driven products, we’d love to hear from you.