Support Strategy & Roadmap: Assist in defining the product roadmap and ensuring alignment with company goals, customer needs, and emerging AI-driven opportunities
Research & Insights: Conduct market research, analyze user feedback, and track competitors to identify opportunities
Requirements & Documentation: Draft user stories, use cases, and business requirements that guide design and development, including features that leverage AI models for insights, automation, or anomaly detection
Cross-Functional Collaboration: Work closely with Engineering, Sales, Marketing, and Customer Success to deliver customer-focused features and functionality
Go-to-Market Support: Contribute to launch planning and execution, including internal enablement, demos, and product documentation
Post-Launch Analysis: Monitor adoption and performance metrics, gather customer feedback, and help optimize TrackStreet products over time
Execution & Delivery: Participate in backlog grooming, feature testing, and acceptance reviews against criteria; support defect tracking and resolution with a focus on supporting customer workflows and use cases
Reports to: Product Manager / VP of Product
Role: Hands-on Associate Product Manager collaborating with product leaders, engineers, and customer-facing teams to shape the platform and leverage AI and automation
Requirements
Bachelor’s degree in Business, Engineering, Computer Science, Marketing, or related field (or equivalent experience)
1–3 years of experience in product, project coordination, business analysis, or a related field (internships count)
Strong analytical and problem-solving skills; ability to work with both qualitative and quantitative data
Excellent written and verbal communication skills
Collaborative mindset and ability to work effectively across teams
Curiosity about AI technologies and their application in SaaS products
Adaptable, resourceful, and eager to learn while growing into a Product Manager role
Familiarity with SaaS products and Agile/Scrum workflows (bonus)
Exposure to AI/ML applications, data analytics, or automation workflows (bonus)
Experience with tools such as Jira, Confluence, Asana, Figma, or BI platforms (bonus)