Senior Product Manager - Client Data Visualization

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

• 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.
• A 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.