Partner with stakeholders across the organization to understand strategic priorities, define multi-quarter technology roadmaps, and ensure ROI is clearly articulated to secure resource capacity for execution.
Act as a product leader by deeply understanding Stripe's employee experience needs, creating mockups to drive alignment on requirements, and presenting compelling product strategies that connect business priorities to outcomes.
Conduct third-party vendor analyses and deliver data-informed build-or-buy recommendations grounded in industry expertise and ROI.
Collaborate with engineers, designers, systems analysts, and PMs to translate requirements into technical designs; facilitate build plans, UAT, and end-to-end testing to bring solutions to production.
Use data, storytelling, and KPIs to support prioritization decisions, monitor solution adoption, define ROI, and surface risks to stakeholders and leadership.
Apply structured project management practices — including goal-setting, project planning, status reporting, risk management, and metrics tracking — to deliver solutions on time and across disciplines.
Partner with PMO, Systems, Operations, and Communications teams to successfully launch new solutions, and facilitate approval processes (legal, compliance, data) by identifying decision-makers and driving sign-off.
Requirements
5+ years of experience in product development, technical program management, or internal systems design in an internal HR business function, including experience in global mobility technology, within high-growth or technology companies
AI and LLM fluency, including practical experience using LLM-based tools
Superior ability to understand and map out system-agnostic business requirements across complex, interconnected systems and support their translation to technology
Strong communication and collaboration skills, with experience partnering with a broad set of cross-functional stakeholders at all levels
Acute business acumen with a demonstrated ability to operate effectively in ambiguous, dynamic, high-velocity situations, and to manage and draw insights from data while navigating complexity.