Senior Product Manager - Client Data Visualization

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins. Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end. 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, timely delivery. Use AI to accelerate product documentation workflows (PRDs, one-pagers, release notes) while exercising strong editorial judgment and maintaining product quality and clarity. Track development progress, report on status to stakeholders, and assist in managing product release cycles. Support product testing and validation to ensure high-quality releases and a seamless user experience. Be the voice and champion of our clients; triage incoming requests with urgency and follow-through and build relationships grounded in trust. Lead and influence stakeholders across functional teams of designers and engineers to ensure successful delivery at a fast velocity; ensuring high product validation and QA standards are met. Collaborate with stakeholders at all levels of the organization to gain buy-in and alignment on product strategies, goals and initiatives, balancing urgency and resource availability. Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart interpretation, anomaly identification) to support faster, evidence-based product decisions. Qualifications  Minimum Qualifications   3+ years of proven product management experience within the B2B SaaS industry with a complex enterprise-level product, preferably in eCommerce or marketplace platforms. Strong expertise in KPI-driven product development and building client-facing dashboards or reporting tools that surface measurable business outcomes. Experience working closely with Data Science and Engineering teams on data modeling, pipelines, and analytics infrastructure. Strong understanding of metrics, experimentation, and product iteration based on user behavior and usage data. Experience as a Product Manager working on AI-powered products, AI workflows, or data & insights platforms. Strong experience with the full product development lifecycle, including setting goals for your products, measuring the results, and quantifying the impact of features on the business. Experience driving strategy and execution for complex, integrated software ecosystems, particularly with unifying multiple platforms. Proven exper