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. As a Senior Product Manager for Client Data Visualization, you will own the strategy and development of a client-facing impact dashboard, leveraging AI to enhance client growth and optimization. You will work cross-functionally to deliver KPI-driven insights and drive continuous product iteration based on client feedback.

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

Requirements:

• 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 experience in supporting team-based projects, with a focus on ensuring alignment with project goals and contributing to technical teams
• Demonstrated use of AI tools across the PM workflow — including qualitative research synthesis, concept prototyping (wireframes, user flows, low-fi mocks), documentation (PRDs, release notes, one-pagers), and data exploration and analysis (NL querying, chart interpretation, anomaly identification) to accelerate decisions while exercising strong editorial judgment
• Strong ability to work with vendors and internal teams, ensuring effective communication with stakeholders for successful project delivery
• Comfortable presenting product strategy and impact to stakeholders across all levels of the organization
• Analytically minded with proficiency in data-driven decision making and experience with product analytics tools
• Experience collaborating with large clients – our clients are some of the biggest in commerce
• Positive & growth-oriented mindset with a strong bias to action
• Strong and concise written & verbal communication skills with the ability to impactfully tailor your communication to any audience
• Ability to explain technical concepts to non-technical audiences
• Ability to work in fast-paced environments and manage multiple projects simultaneously
• Bachelor's or Advanced degree
• PM experience at a top tech company or fast-growing startup, preferably in eCommerce
• Expertise in data visualization tools, charting libraries, or BI platforms (e.g., Tableau, Looker, D3.js, or similar) and the ability to evaluate technical trade-offs in how insights are surfaced and rendered
• Intrapreneurial/founder mindset
• Experience working on a global product management team