Senior Product Manager

Randstad Enterprise Solutions — including Randstad Sourceright, Randstad Enterprise Group and Randstad Rise Smart — provides solutions and expertise that help enterprise clients position for growth, execute on strategy and improve business agility. Working across the broad spectrum of Randstad Enterprise Solutions, the collective experience of the teams encompasses all facets of the global talent spectrum, from the acquisition of talent to skilling and coaching to outplacement solutions.

Enabled by innovative technologies, key offerings include HR and recruitment solutions, recruitment process outsourcing (RPO), managed services programs (MSP), statement of work (SOW), outplacement, skilling/coaching and total talent solutions.

Senior Product Manager

We are looking for a highly motivated and experienced Product Manager to join Randstad Enterprise's product organization. We seek an entrepreneurial product innovator with relevant experience in B2B SaaS product management.

By creating this position within Randstad Enterprise, we are investing in our ability to scale our technology and processes in a complex portfolio environment. We seek a product expert with a proven track record for strategic product thinking, developing a long-term product strategy, and acting independently in a complex technology stack. In this data-heavy product management role, you will bridge product vision with deep technical execution—defining core data models, master data architecture, API strategies, and AI quality metrics.

Acting as a critical link between business leadership and technical teams, you will ensure our multi-source data is robust, unified, and compliant while delivering high-value platform integrations and reliable outputs across our global HR technology stack.

Location:

Budapest, Hungary | Hybrid (1–2 days/week in-office with flexible hours)

• product strategy & vision: define and communicate a compelling product vision and roadmap aligned with business and service goals
• business & service alignment: ensure software products integrate seamlessly into the overall service ecosystem and contribute to business growth
• roadmap & prioritization: develop and maintain a clear product roadmap, balancing short-term wins with long-term strategic goals
• data strategy: work with architects and engineers to define the core data the business runs on, decide which system is the master for which information, and keep those definitions stable as more teams come to depend on them
• data quality & integration: own the quality of the data on the platform as new source systems are connected - what good looks like, how it is measured, and what happens when it slips
• API strategy and lifecycle management: define the platform's API capabilities with an API-first mindset, ensure consistent stability for the teams and AI agents that rely on them, and maintain clear documentation to enable seamless, self-service onboarding
• quality of AI output: define how the quality of non-deterministic AI output is measured, run evaluation cycles with the teams who rely on it, and ensure accuracy and quality
• requirements & execution: provide clear functional requirements and user stories, including at data and API level, and be the driving force behind the release planning process
• adoption & cross-functional delivery: work with the teams that build on the platform to drive adoption, and with UX, engineering, support, documentation, training, sales and service teams to bring changes to market
• data-informed decision making: track the metrics that matter for a platform product - data quality, usage, adoption, output quality and business outcomes - and use them to continuously optimise
• responsible AI & compliance: work with legal and privacy…