Own the vision, strategy, and roadmap for MarginEdge's invoice processing platform, focusing on the internal user experience for data entry and quality assurance.
Build consensus on the most important efforts to proceed with from a business and technical perspective.
Make strategic prioritization decisions while ensuring alignment with leadership and cross-functional teams.
Base prioritization decisions on company goals, user problems, user data, and product knowledge.
Conduct regular user interviews with internal users to understand workflow challenges and opportunities.
Maintain regular external customer interaction (both virtual and on-site) with restaurant operators to gather insights on invoice processing related needs.
Analyze usage data to identify potential efficiency gains and workflow bottlenecks.
Translate customer feedback and data insights into actionable product requirements.
Represent the voice-of-customer in all conversations when evaluating priority and implementation.
Work with Design to prototype and iterate on solutions for internal and external user workflows.
Create detailed product requirements for new features and enhancements.
Work closely with Engineering to understand technical capabilities and constraints and refine requirements, optimizing customer value with feasibility.
Collaborate extensively with Operations team to successfully launch new features and process improvements as well as collect feedback on those new features to ensure they are driving expected outcomes.
Work with Data Analytics team to build out reporting on features launched so that you can measure whether they are driving desired outcomes.
Use your knowledge of SQL to query databases, identify product opportunities, and evaluate feature performance.
Monitor and assess the performance of the invoice processing platform to inform future development.
Serve as the product expert for invoice processing.
Triage new issues, feature requests, and product questions from all sources.
Be an active participant in the Software Development Lifecycle and contribute to high-quality delivery.
Requirements
5-10 years in technical product management or a related business or technical role (business analyst, product owner, software engineer).
Familiar with various application integration methods, common technologies, and data formats.
Able to assess the high-level technical feasibility of a new AI model and ensure adherence to best practices from functional, performance, scalability, and security perspectives.
Experience establishing prioritization across competing priorities, optimizing for business outcomes.
Demonstrated ability to have user empathy and focus on problem-solving from their perspectives.
Experience leading and launching large projects across multiple months/quarters with a high level of autonomy.