About the job
Join the IT Enterprise Systems team at Pinterest to help build the next generation of capabilities that power planning, forecasting, modeling, and decision support across the business.
Responsibilities
Define product strategy, roadmap, and execution for planning, forecasting, modeling, and analytics enablement capabilities.
Engage the business to identify their needs and spot opportunities to build features that increase engagement and drive efficiencies.
Partner with Finance, Business Operations, Data Science, Analytics, IT, and Engineering to identify opportunities to improve workflows, decision quality, and operational efficiency.
Build and improve systems and experiences that support planning cycles, forecasting processes, business modeling, and analytical decision-making.
Help teams access better data, workflows, and analytical capabilities to support faster and more confident decisions.
Identify and deliver practical AI use cases that improve workflow speed, decision support, exception handling, insight generation, and team productivity.
Apply strong judgment to where AI should be used, ensuring appropriate validation, controls, and human accountability.
Identify and deliver practical AI use cases that improve scenario analysis, insight generation, summarization, exception detection, workflow productivity, and user experience.
Qualifications
Minimum
Bachelor’s or master’s degree in computer science, Engineering or a related field; or equivalent combination of education and experience
Minimum of 12 years product management experience with minimum 3+ years in a product role in a global organization.
Excellent communication, collaboration and leadership skills, with the ability to navigate cross-cultural and cross-functional environments
Significant product ownership or product management experience in financial planning systems, analytics platforms, or adjacent internal products.
Strong understanding of financial planning, forecasting, business operations, modeling, or decision-support workflows.
Experience enabling analytics, data products, or systems that support planning and performance management.
Demonstrated hands-on use of AI in real business workflows, not just conceptual familiarity.
Strong judgment in validating AI outputs, managing risk, and maintaining accountability for final decisions and recommendations.
Excellent communication, collaboration, and stakeholder management skills across technical and non-technical teams.
Proven ability to move between strategic thinking and hands-on execution.
Ability to work through ambiguity, simplify complexity, and deliver measurable outcomes.
Strong understanding of Agile principles and iterative product development.
Preferred
No preferred qualifications listed.