Long & Foster Companies

Product Manager

• Own the product vision and strategy for assigned platforms, domains, or customer journeys
• Translate business goals into outcome-driven product roadmaps with defined success metrics
• Evaluate tradeoffs balancing customer experience, technical feasibility, and business impact
• Lead end-to-end product development from discovery and prioritization through delivery and post-launch optimization
• Own and prioritize the product backlog; write epics, user stories, and acceptance criteria
• Partner with Engineering, Design, and Data to deliver high-impact solutions
• Participate in Agile ceremonies, remove blockers, and align teams on goals and outcomes
• Track and analyze product performance using quantitative and qualitative data
• Analyze user funnels, run experiments and A/B tests, and improve conversion and engagement
• Champion the voice of the customer through research, feedback, analytics, and usability testing
• Monitor industry trends, emerging technologies, and competitive offerings
• Align business, technology, and operations stakeholders on priorities, timelines, and expectations
• Partner with vendors and third-party providers on requirements, implementation, and escalations
• Communicate product vision, roadmap, status, risks, and outcomes to leadership and stakeholders
• Maintain product documentation and present data-driven insights and recommendations

Senior Product Manager – Agile Development

Data Engineer

• Manage the design, development, implementation, and support of data engineering and integration solutions
• Translate technology priorities and architecture direction into team work plans, delivery schedules, and technical assignments
• Improve processes and practices to support reliable, scalable, and efficient solutions
• Make implementation decisions within approved architecture and budget parameters
• Ensure solutions meet governance, security, and regulatory compliance standards
• Implement and monitor processes supporting data quality, lineage, metadata management, and operational performance
• Identify and address data, integration, and operational risks
• Directly manage data engineers, integration developers, and analysts
• Provide coaching, performance management, development planning, and day-to-day leadership
• Assess resource needs and allocate staff to projects and operational requirements
• Partner with business stakeholders, architects, application teams, and analytics groups
• Provide recommendations to technology leadership on delivery approaches, risks, dependencies, and improvements
• Monitor service levels, delivery performance, and operational metrics
• Drive continuous improvement to enhance reliability, efficiency, quality, and stakeholder satisfaction
• Perform other duties as assigned or required

Senior Product Manager – Agile Development

Manager, Data Engineering and Integration