TrackStreet

Associate Product Manager

TrackStreet

contract

Posted on:

Origin:  • 💃 Anywhere in Latin America

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Job Level

JuniorMid-Level

Tech Stack

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About the role

  • 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)