Senior Product Manager

About the role

ZS is a place where passion changes lives. We transform ideas into impact by combining data, science, technology, and human ingenuity to deliver better outcomes for all. Here, you'll work alongside a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide.

Responsibilities

• Own the requirements and delivery roadmap for one or more IC capability areas (e.g., plan design, sales crediting, eligibility and roster management, data prep and reconciliation, goal-setting, or field inquiry/support)
• Translate high-level business and client requirements into detailed, engineering-ready requirements, user stories, and acceptance criteria
• Partner with AI/ML and data engineering to scope agent-enabled features within your capability area: define the job to be done, tool and data access needs, evaluation criteria, and audit/traceability requirements
• Conduct discovery directly with client IC and commercial operations stakeholders to identify pain points, validate requirements, and prioritize backlog items
• Conduct requirements review sessions with engineering, design, and client success; manage and track requirement changes through delivery
• Participate in scrum ceremonies, providing clarity on requirements, resolving ambiguity, and signing off on acceptance criteria
• Work with architects and senior engineers to understand platform components, data models, and integration points relevant to your area, and how changes to them affect IC calculations, reporting, and compliance
• Support integration requirements with upstream and downstream systems relevant to IC (e.g., CRM/Veeva, alignment and roster feeds, sales data/Rx feeds, HR systems, MDM)
• Understand core IC data foundations — Rx (TRx/NRx/NBRx), claims, specialty pharmacy, sample data, alignment files — well enough to write correct, unambiguous requirements and evaluate downstream impact
• Track and monitor agent feature performance in production (e.g., accuracy, cycle-time reduction, deflection rate, FTE-hours saved) and feed learnings back into the roadmap
• Support new client implementations and migrations by ensuring capability design and documentation translate cleanly for professional services teams
• Communicate design decisions, trade-offs, and risks clearly to peers, engineering leadership, and client stakeholders
• Contribute to and, where relevant, help mentor junior product managers or analysts on the team
• Represent your capability area in internal roadmap reviews and, as needed, in client or industry-facing conversations

Qualifications

• Bachelor's degree in business, a technology discipline, or equivalent practical experience; MBA or advanced quantitative degree a plus
• 8+ years of B2B SaaS or enterprise software product management experience, ideally in life sciences, healthcare, or a related regulated vertical
• Working knowledge of incentive compensation concepts (plan design components, crediting, quota/goal-setting, eligibility/roster management) or demonstrated ability to ramp quickly in a complex domain
• Exposure to life sciences commercial data foundations — Rx (TRx/NRx/NBRx), claims, specialty pharmacy, sample data, alignment files — is a strong plus
• Practical understanding of how AI agents are built: tool use, retrieval, orchestration, and evaluation harnesses, and a pragmatic sense of where agents help and where human-in-the-loop is required, especially in regulated, audit-sensitive workflows
• Comfortable writing detailed, engineering-consumable requirements and user stories in an agile environment, and defending design decisions to architects and engineers
• Experience working with cross-functional teams spanning engineering, design, data science, professional services, and client success
• Experience engaging directly with client IT/operations teams to elicit and validate detailed requirements
• Familiarity with system integration patterns (APIs, ETL, data contracts) relevant to enterprise SaaS platforms
• Strong analytical skills and comfort with data — able to reason through calculation logic, edge cases, and data quality issues that affect IC outcomes
• Excellent written and verbal communication; able to translate between business, technical, and client audiences

Additional Qualifications

• Strong analytic and problem-solving ability; comfort with architecture diagrams, data flows, and detailed logic walkthroughs
• Initiative and drive to own ambiguous problems end to end
• Excellent organizational and task management skills across multiple concurrent workstreams
• Outward-centric mindset — grounding prioritization in customer feedback, usability studies, and measurable KPIs
• Genuine curiosity about the agentic AI space and how frontier model capabilities are changing what's possible in enterprise workflows
• Ability to work effectively across global, cross-office teams
• Client-first mentality, intense work ethic, and a collaborative, problem-solving approach