Product Manager

Rapsodo's headquarters are situated in Singapore, complemented by offices strategically positioned across the United States, Turkey, and Japan. Rapsodo is more than sports technology and data analytics. It is the undisputed leader in affordable, pro-grade technology for athletes looking to get more out of their game. 

Current partners include Major League Baseball teams, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.  

The Product Manager plays a pivotal role in Rapsodo’s sports technology innovation, with a strong focus on leveraging data to drive product direction and customer insights. This position is accountable for defining product requirements, leading analytical initiatives, and ensuring high-quality product delivery aligned with customer needs and business goals. A core function of this role is to use data analytics to inform product strategy, optimize user experiences, and validate key product decisions.

Join Team Rapsodo in defying limits and unlocking limitless potential, one data point and one heart-felt success story at a time.  

Powered by Athletes who get it, and Engineers who can do it. 

Key Accountabilities

1.     Drive Data Strategy and Analytics

• Lead the development and execution of data analytics initiatives to gain deep insights into customer usage and product performance.
• Collaborate with cross-functional stakeholders to define analytics needs, translate business questions into data projects, and deliver actionable insights.
• Design, implement, and manage dashboards and reporting tools to monitor user behavior, feature adoption, and product health.
• Apply data science principles (segmentation, cohort analysis, funnel analysis, etc.) to support go-to-market strategies and customer targeting.
• Partner with Data Engineering to ensure data integrity, governance, and pipeline optimization.

2.     Translate Market and Data Insights into Product Strategy

• Conduct market research, user interviews, and usage analytics to shape product direction and gather insights.
• Use data to identify pain points, discover growth opportunities, and support hypothesis validation.
• Synthesize insights for key stakeholders and influence roadmap decisions with clear evidence.

3.     Author and Own Product Requirements

• Define detailed Product Requirements Documents (PRDs), including data instrumentation needs and success metrics.
• Collaborate with Engineering and UX to deliver intuitive, data-informed user experiences.
• Work with Product Analysts to maintain a well-prioritized backlog driven by data insights and customer value.

4.     Lead Stakeholder Alignment Sessions

• Facilitate workshops and brainstorming sessions to collect cross-functional input and align on scope and metrics.

5.     Prioritize High-Impact Features

• Apply frameworks like RICE or MoSCoW with input from data analysis to ensure focus on outcomes, not just outputs.
• Continuously reassess roadmap priorities based on evolving data.

6.     Support Agile Product Development

• Break down epics and user stories with clearly defined KPIs and experiment plans (where applicable).
• Act as Product Owner in Agile ceremonies with a strong command of feature-level data impact.

7.     Monitor and Optimize Product Performance

• Track KPIs across lifecycle stages, from activation to retention and monetization.
• Use A/B testing and experimentation results to iterate on features and improve business outcomes.

8.     Launch Products with Data-Rich Support

• Drive launch readiness with dashboards, forecasted metrics, and retrospective performance reporting.
• Serve as the go-to subject matter expert for data-backed product justifications.

9.     Contribute to Business Cases and Strategic Planning

• Use market, customer, and product data to construct compelling business cases and investment justifications.

Requirements

• Education: Bachelor’s degree in Business, Engineering, Data Science, or related field. MBA preferred.

• Experience: 4+ years in product management, ideally in sports tech, SaaS, or consumer hardware. Proven track record integrating data and analytics into product planning and delivery.

Technical Skills:

• Data Analysis: Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
• Scripting & Analytics: Working knowledge of Python (Pandas, NumPy) or R for exploratory analysis.
• Data Warehousing: Familiarity with tools like Snowflake, BigQuery, or Redshift.
• Experimentation: Experience with A/B testing tools and interpreting test outcomes.
• Agile Product Management: Strong in backlog grooming, user story writing, and sprint planning.

Soft Skills:

Strong communication, cross-functional leadership, and stakeholder management. Ability to balance data depth with strategic clarity in high-pressure environments.

Success Metrics:

• Customer Insight Depth: Breadth and clarity of analytics used in product development.
• Data-Driven Revenue Impact: Contribution of product improvements tied to measurable data outcomes.
• Operational Efficiency: Execution of analytics initiatives with high stakeholder satisfaction.
• Product Experimentation Outcomes: Number and quality of validated data hypotheses and A/B tests.