• Own the product vision, strategy, and roadmap for agentic AI solutions that reduce out-of-stocks, shrink and waste, and improve fulfillment utilization for retailers and CPGs. • Work backwards from customer outcomes to write crisp problem statements, PRDs, and success metrics; prioritize ruthlessly to deliver v0, iterate to v1, and scale proven features. • Partner with engineering and data science to scope experiments, manage backlogs, define KPIs and evaluation frameworks, and ensure models and agents are reliable, safe, and observable. • Lead discovery with customers; design pilots and proof points; collaborate with sales and marketing on go-to-market, pricing and packaging, enablement, and case studies that drive revenue. • Own the business case: model unit economics and ROI, set financial targets for margin recovery/efficiency, and report performance to executives and external stakeholders. • Ensure data readiness and integrity by assessing data quality, telemetry, integrations, and feedback loops; implement human-in-the-loop and policy guardrails where appropriate. • Operate cross-functionally with data engineering, retailer success, enterprise sales, and BD to bring products from concept to launch and expansion.

• Own the product vision, strategy, and roadmap for agentic AI solutions that reduce out-of-stocks, shrink and waste, and improve fulfillment utilization for retailers and CPGs. • Work backwards from customer outcomes to write crisp problem statements, PRDs, and success metrics; prioritize ruthlessly to deliver v0, iterate to v1, and scale proven features. • Partner with engineering and data science to scope experiments, manage backlogs, define KPIs and evaluation frameworks, and ensure models and agents are reliable, safe, and observable. • Lead discovery with customers; design pilots and proof points; collaborate with sales and marketing on go-to-market, pricing and packaging, enablement, and case studies that drive revenue. • Own the business case: model unit economics and ROI, set financial targets for margin recovery/efficiency, and report performance to executives and external stakeholders. • Ensure data readiness and integrity by assessing data quality, telemetry, integrations, and feedback loops; implement human-in-the-loop and policy guardrails where appropriate. • Operate cross-functionally with data engineering, retailer success, enterprise sales, and BD to bring products from concept to launch and expansion.

• Own the roadmap for your product stream, prioritizing features based on business goals, customer needs, and market trends • Define clear product requirements that deliver value in releasable pieces • Leverage AI for impact by synthesizing customer research, drafting PRDs, pressure-testing ideas, and producing better documentation without sacrificing depth • Lead ongoing customer research to deeply understand user pain points, workflows, and unmet needs, and translate those insights into actionable features • Make data-informed decisions to track performance, validate hypotheses, and identify areas for improvement • Stay close to the market, monitoring competitor moves and industry trends to identify where Bridgit can lead and differentiate • Keep stakeholders aligned, proactively surfacing risks and trade-offs before they become problems • Become the expert on Bridgit, developing deep fluency in the data, workforce planning workflows, and customer context that drive the product

• Collaborate with Product Managers to ensure alignment between product vision, business strategy, and customer needs • Translate program backlog items into clear, actionable user stories for Agile teams • Own and manage the team backlog, ensuring proper prioritization, refinement, and alignment with delivery timelines • Work closely with Agile teams to ensure requirements are well understood and correctly implemented • Define and maintain clear acceptance criteria and support acceptance testing activities • Support sprint planning, backlog refinement, and Program Increment (PI) planning activities • Act as a key liaison between Product Management, SMEs, and Agile delivery teams • Collect and incorporate continuous feedback from stakeholders throughout the development lifecycle • Identify and manage dependencies across teams, working with Engineering, Architects, RTEs, and other Product Owners • Support Agile teams with clarification, prioritization, and sequencing of work • Drive delivery of value by ensuring continuous progress and high-quality output from the team • Participate in Scrum ceremonies including stand-ups, sprint reviews, and demos • Monitor delivery risks and communicate any issues or deviations to stakeholders • Support release planning and coordination to ensure on-time and high-quality product delivery • Contribute to improving processes, tools, and alignment across the Agile delivery lifecycle • Promote consistent use of Clario systems, tools, and compliance with SOPs