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Rapsodo Baseball Jobs (NOW HIRING)

Rapsodo

Senior Software Developer

Saint Louis, MO

$53 - $70/hr

... Baseball, and over 1000 NCAA athletic departments. Become a part of Team Rapsodo as we challenge limits and unveil endless potential, one data point and one heartwarming success story at a time.

Rapsodo

Performance Marketing Lead

Saint Louis, MO · On-site

... Baseball, and over 1000 NCAA athletic departments. Become a part of Team Rapsodo as we challenge limits and unveil endless potential, one data point and one heartwarming success story at a time.

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How much do rapsodo baseball jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for rapsodo baseball in the United States is $19.76, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Rapsodo Baseball Analyst, and why are they important?

To thrive as a Rapsodo Baseball Analyst, you need a solid understanding of baseball mechanics, data analysis, and a background in sports science or a related field. Familiarity with Rapsodo’s tracking technology, video analysis software, and statistical tools like Excel or TrackMan is typically required. Strong communication, attention to detail, and the ability to translate complex data into actionable insights help you stand out in this role. These skills are crucial for accurately evaluating player performance and effectively collaborating with coaches and athletes to drive improvement.

What is the difference between Rapsodo Baseball vs Baseball Coach?

AspectRapsodo BaseballBaseball Coach
Primary RoleProvides data analytics and performance metrics using technologyTeaches skills, strategies, and game management
Required CredentialsKnowledge of baseball, familiarity with data toolsExperience in coaching, possibly certifications
Work EnvironmentTraining facilities, fields, or labs with tech equipmentField, gym, or team practice settings
Industry UsageUsed by players, teams, and trainers for performance analysisUsed by teams and players for skill development and strategy

While Rapsodo Baseball focuses on data-driven performance analysis using advanced technology, Baseball Coach emphasizes teaching skills and strategies directly to players. Both roles are essential in baseball development but serve different functions within the industry.

How does a Rapsodo Baseball Analyst typically collaborate with coaches and players to improve performance?

A Rapsodo Baseball Analyst works closely with coaches and players by interpreting advanced pitching and hitting data captured by Rapsodo technology. They translate complex metrics into actionable insights, helping coaches adjust training plans and players refine their techniques. Regular collaboration includes presenting reports, participating in practice sessions, and explaining data-driven recommendations in an accessible way. This role requires strong communication skills and a deep understanding of both baseball fundamentals and analytics to foster a collaborative, results-oriented environment.

What is a Rapsodo Baseball device?

A Rapsodo Baseball device is a high-tech tool used to track and analyze baseball pitching and hitting data. Utilizing radar and camera technology, it captures metrics such as pitch velocity, spin rate, launch angle, and ball trajectory. Coaches and players use this data to improve performance, make informed training decisions, and enhance player development. The device is widely adopted in amateur and professional baseball for its accuracy and user-friendly software. It has become an essential part of modern baseball training and analytics.
Infographic showing various Rapsodo Baseball job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $41,110 per year, or $19.8 per hour.

Senior Software Developer

Rapsodo

Saint Louis, MO

$53 - $70/hr

Full-time

Posted 5 days ago

Job description

Company Overview

With its headquarters in Singapore and strategically placed offices across the United States, Turkey, Japan, and Malaysia, Rapsodo represents more than just sports technology and data analytics. It stands as the clear front-runner in providing affordable, professional-grade technology for athletes aiming to enhance their performance.

The company currently collaborates with partners such as The PGA of America, Golf Digest, Troon, various Major League Baseball teams, USA Baseball, and over 1000 NCAA athletic departments.

Become a part of Team Rapsodo as we challenge limits and unveil endless potential, one data point and one heartwarming success story at a time.

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

Role Purpose

This role exists to be the connective tissue between cross-functional teams, translating complex system trade-offs into clear decisions and embedding AI-assisted development into how we build. This is a role for an engineer who thinks in systems, executes with precision, and communicates with clarity. 

Key Responsibilities

  • Champion AI-assisted development across architecture, design, and implementation-driving adoption and establishing the practices that make it last. 
  • Define and own best practices for AI-assisted system design, code generation, documentation, and testing. 
  • Assess and integrate AI tooling into the development lifecycle with a focus on security, scalability, and long-term maintainability. 
  • Assess incoming feature requests and determine technical feasibility within the Kotlin Multiplatform codebase. 
  • Own architectural scoping-articulating trade-offs and risks, particularly at the boundary between shared and platform-specific code. 
  • Design and document scalable architectures that clearly define module boundaries, data flow, threading models, and dependency injection strategies. 
  • Lead KMP technical decision-making, keeping solutions aligned with iOS and Android platform constraints and best practices. 
  • Define and execute migration strategies from legacy implementations to shared KMP modules where the tradeoff is justified. 
  • Coordinate cross-functional dependencies across firmware, backend, Unity, and QA to maintain system-wide consistency and delivery commitments. 
  • Build and maintain a living knowledge base-architecture documentation, system diagrams, and technical specs that teams actually use. 
  • Continuously improve developer experience through smarter tooling, build optimization, CI/CD, and modularization. 
  • Set and uphold high standards for code quality, testability, and maintainability across shared and platform-specific code. 

Requirements

Role Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
  • 8+ years of mobile development experience with deep familiarity across both Android and iOS ecosystems. 
  • 3+ years shipping Kotlin Multiplatform in production. 
  • Deep command of Clean Architecture, modularization, and separation of concerns in multi-platform systems. 
  • Proven experience designing shared domain and data layers with well-defined boundaries between shared logic and platform-specific UI. 
  • Strong command of Kotlin Coroutines, Flow (StateFlow, SharedFlow), and cross-platform concurrency models. 
  • Hands-on experience with dependency injection (Koin or equivalent) in multi-module environments. 
  • Familiarity with Compose Multiplatform and native UI frameworks (SwiftUI/UIKit, Jetpack Compose). 
  • Experience architecting networking and data layers in a multiplatform context, including offline-first design, sync strategies, and caching. 
  • Strong understanding of KMP-iOS interoperability and the nuances of designing APIs for Swift consumers. 
  • Solid experience with Gradle, dependency management, and CI/CD pipelines for multi-platform projects. 
  • Experience building device-connected applications (BLE, Wi-Fi, TCP) with a focus on reliability and real-time data handling. 
  • Proven ability to translate complex technical decisions into clear specifications that align cross-functional teams. 
  • Strong communicator who can cut through complexity and align stakeholders across mobile, backend, firmware, and QA. 
  • Substantial hands-on experience with AI-assisted development tools and a track record of integrating them meaningfully into engineering workflows. 
  • Sharp judgment when evaluating AI-generated outputs-knowing when to trust, when to verify, and when to rewrite. 

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