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Own high-impact operational products within Fourth’s global product-led transformation—shipping AI-driven workflows that improve labor, inventory, and margin. This is an individual contributor role for a Product Manager who thrives in complex, operational SaaS environments and wants to deliver measurable impact within a mature platform organization.
Job Responsibility:
Own a defined product surface area within Workforce Management or Inventory
Translate operational customer pain points into scalable product solutions
Prioritize and manage a clear backlog aligned to business KPIs
Partner closely with Engineering, Design, Data, and Customer teams to deliver features on a predictable cadence
Support enhancements across both legacy and growth initiatives while maintaining roadmap discipline
Translate product strategy into actionable roadmaps within your defined scope
Own backlog prioritization, balancing customer feedback, data insights, and commercial impact
Deliver features tied to operational KPIs such as labor efficiency, compliance adherence, inventory accuracy, or margin optimization
Ensure clear acceptance criteria, documentation, and release readiness
Partner with Engineering in sprint planning, refinement, and delivery ceremonies
Engage directly with customers to understand workflow friction and operational constraints
Identify opportunities for automation, forecasting improvements, and workflow simplification
Translate real-world operational complexity into intuitive product experiences
Contribute to competitive and market awareness within hospitality and workforce technology
Define success metrics at feature inception
Track adoption, usage patterns, and KPI impact post-launch
Drive iteration based on measurable performance
Maintain transparency with stakeholders on roadmap progress, risks, and outcomes
Requirements:
4+ years in Product Management within SaaS or enterprise software
Experience in hospitality, workforce management, retail, or operational systems is strongly preferred
Experience with forecasting, automation, or AI-enabled tools is a plus
Strong analytical thinking and user-first problem solving
Excellent written and verbal communication skills
Experience working in Agile environments
Demonstrated backlog ownership within a defined product surface area
Experience shipping features tied to measurable operational or business KPIs
Strong cross-functional collaboration with Engineering and Data teams
Comfort navigating legacy constraints while driving incremental modernization
A preference for execution clarity over ambiguous scope
Nice to have:
AI exposure is valuable but not required if operational depth is strong