Technical Project Coordinator

The Technical Project Coordinator is a member of the team who supports the delivery of data‑informed solutions through strong organization, coordination, and attention to detail. This role partners closely with Product and Engineering team members to help keep work organized, priorities visible, and day‑to‑day execution running smoothly.

The role supports how work moves through Recog Nation’s development process by assisting with task coordination, maintaining clear documentation, organizing backlog items and tickets, and helping ensure requests and information flow to the appropriate teams. Under the guidance of more senior team members, this role contributes to sprint and planning activities, helps organize insights and inputs from across the business, and supports the resolution of incoming support requests.

This role collaborates with cross‑functional partners—including Customer Service, IT, Sales, and others—to support data accuracy, process clarity, and effective communication. While this role does not own product strategy or technical decisions, it plays an important role in helping translate ideas into well‑defined, actionable work that teams can execute with confidence.

This position is well‑suited for a recent college graduate who is highly organized, detail‑oriented, eager to learn, and interested in gaining exposure to product development, technology, and cross‑functional collaboration. The role requires regular and predictable on‑site presence at our Grand Rapids, Michigan location.

• Support sprint planning, PI planning, and team coordination by preparing agendas, capturing decisions, and ensuring next steps are clear and documented.
• Write, refine, and maintain Jira tickets with well‑structured requirements, acceptance criteria, and supporting context.
• Track work progress across Product and Engineering and help remove blockers by surfacing questions, missing inputs, or needed decisions.
• Organize and maintain product documentation in Confluence, ensuring decisions, requirements, and project histories remain accessible.
• Triage and route support tickets to the appropriate teams, ensuring requests contain sufficient detail before work begins.
• Identify recurring issues or patterns in support tickets and surface insights that may inform future product improvements.
• Capture notes, follow‑ups, and action items from leadership conversations, customer advisory groups, Program Manager input, and internal discussions.
• Maintain structured repositories of insights, research, and customer feedback to support planning and roadmap discussions.
• Assist in light discovery work, including gathering problem statements, clarifying success metrics, and identifying missing inputs.
• Support development rhythm by preparing materials for sprint reviews, roadmap updates, and cross‑team communications.
• Maintain visibility into priorities, dependencies, and timelines to help keep teams aligned and focused.
• Improve workflow consistency by identifying small process refinements that increase clarity, reduce rework, or improve execution predictability.
• Serve as a connector between Product, Engineering, Customer Success, and Support to ensure smooth handoffs and shared understanding.
• Analyze data to identify trends or relationships among variables and translate findings into practical recommendations.
• Assess data inputs and outputs for potential impacts on workflows, system performance, or strategic business initiatives.
• Evaluate data quality by monitoring, validating and cleansing data to ensure accuracy & consistency.

• Strong organizational habits and attention to detail; you naturally bring structure to moving parts.
• Comfortable working in an office environment, with prolonged computer use and a need for sustained focus.
• Able to communicate professionally with internal and external stakeholders, both written and verbal.
• Naturally curious and willing to ask clarifying questions when things are ambiguous or incomplete.
• An analytical mindset with the ability to collect, interpret, and present quantitative data clearly.
• Familiarity with reporting tools and a willingness to learn…