Senior Product Manager - Client Data Visualization

Overview

Rithum is an AI‑first organization, meaning AI is foundational to how we work, collaborate, and grow. Across all roles, employees are expected to leverage AI to move faster, work smarter, and create repeatable patterns that benefit others. AI proficiency is a core capability, reinforced through clear standards, tooling, and ongoing support. At Rithum, you contribute to advancing our AI‑first ways of working.

As a Senior Product Manager for Client Data Visualization, you own the strategy, roadmap, and end-to-end development of Rithum's client-facing impact dashboard — a prescriptive, KPI-driven product that surfaces the measurable value of our platform across client growth, optimization, and cost savings. You operate largely independently, tackle open-ended and ambiguous problems, and bring cross-functional teams together around a shared vision. You are expected to have deep expertise in data visualization and client-facing analytics products, and leverage AI-powered capabilities to shape the next generation of commerce intelligence for the world's largest retailers and brands.

Responsibilities

• Be the owner of our Client Data Visualization product and drive the long-term vision for a prescriptive, client-facing impact dashboard that surfaces the measurable value of our platform across growth, optimization, and cost savings — leveraging AI-first approaches to accelerate discovery, decision-making, and delivery.
• Define and deliver KPI-driven dashboards that clearly demonstrate platform value through recommendations taken, automations executed, and measurable business outcomes.
• Partner closely with Data Science, Engineering, and Client Success to align on metrics, data models, and insight generation pipelines that power the dashboard experience.
• Translate complex datasets into intuitive, actionable visualizations that drive client understanding and decision-making.
• Establish and track success metrics tied to dashboard adoption, engagement, and client outcomes — and use that data to drive continuous product iteration.
• Synthesize qualitative inputs — including client interviews, support tickets, and survey feedback — using AI tools to identify themes, opportunity areas, and prioritization inputs that inform product strategy.
• Ensure data accuracy, consistency, and reliability across all surfaced insights.
• Collaborate with engineering, product, and cross-functional teams to drive efficient business processes, improve team operations, and align client needs with internal objectives.
• Own and drive roadmap prioritization for your product area, making independent decisions on scope, sequencing, and trade-offs while incorporating AI-assisted insights and data exploration.
• Leverage AI tools to prototype and validate product concepts and workflows (e.g., user flows, wireframe descriptions, low-fidelity mocks) to de-risk ideas prior to engineering investment.
• Lead end-to-end product development & execution from concept to launch (e.g., PRDs, prioritization, client discussions, testing & QA, change management, client adoption/engagement, etc.), holding yourself and your cross-functional team accountable for high-quality outcomes.