Forward-deployed Software Engineer

GripFusion•Ann Arbor, MI

1d•Onsite

About The Position

GripFusion is hiring a Forward-deployed Software Engineer to build and expand the software experiences that connect its Tactile Intelligence sports performance technology with athletes, coaches, and teams. This product-facing, full-stack role reports to the Head of Software and spans the ForceBall, iPad, mobile, and web products. The engineer will work with players and coaches to understand how they use tactile data, then turn those insights into shipped products. They will collaborate with product, embedded, data science, and design teams to develop visualizations, integrate existing customer systems, and establish shared design practices across baseball and golf. The role includes extending and hardening the existing React Native iPad app and AWS backend; building a React web dashboard for reviewing sessions, comparing athletes, and sharing insights; developing a mobile app that communicates directly with the ForceBall; creating novel visualizations, including 3D graphics; integrating third-party systems; and contributing to the golf platform. The engineer will balance rapid prototyping and discovery with production engineering, testing, and deployment, and use AI development tools and agentic workflows in daily work. This is a full-time, in-person position at GripFusion’s Performance Lab headquarters in Ann Arbor, Michigan, with up to 10% travel to MLB/NCAA teams and partners. The environment is a collaborative startup, with work across hardware, firmware, software, design, and data science. The company describes opportunities for professional growth, direct access to leadership, and participation in product direction and engineering practices as its platforms expand. Compensation includes a base salary of $110,000–$145,000, commensurate with experience, and 0.1%–0.25% equity. Benefits include healthcare, dental, vision, and retirement matching.

Requirements

At least 4 years of experience shipping production software across mobile and web.
Full-stack experience, including cloud backends on AWS and CI/CD and release pipelines for delivering apps.
A track record of working directly with clients, users, or stakeholders to shape what gets built.
Daily, hands-on use of AI coding tools and agentic workflows.
Bachelor’s degree in computer science or a related field.
Product and technical ownership from initial conversations through shipped features.
Ability to combine rapid prototyping and discovery with production-quality engineering.
Strong communication skills for working with players, coaches, and engineering teams.

Nice To Haves

Experience with React Native, React, and TypeScript.
Experience with hardware systems, Bluetooth or other device data transmission, and device state diagrams.
Experience with offline-first mobile architecture and on-device data analysis.
Experience with data visualization or 3D graphics on web or mobile, such as three.js, WebGL, or React Three Fiber.
Experience integrating third-party data sources and APIs.
Having competed or coached and understanding how players train, compete, and take feedback.

Responsibilities

Work across the full stack, from BLE device communication and cloud services to mobile and web interfaces.
Extend and harden the existing React Native iPad app and its AWS backend.
Build a React web dashboard for coaches and staff to review sessions, compare athletes, and share insights.
Build a mobile app that communicates directly with the ForceBall and supports broader field use cases.
Develop novel visualizations of tactile and athlete data, including 3D graphics.
Integrate data from systems that teams already use.
Contribute to the golf platform and carry common design patterns and components across baseball and golf.
Partner with players, coaches, and team staff to understand user needs and how they interact with tactile data.
Balance quick prototyping and discovery with production-level engineering, testing, and deployment.
Work with design to shape the user experience and establish shared design practices across verticals.
Partner with embedded and data science teams to define device data transmission, state handling, and data formats.
Visit MLB teams to test with athletes and coaches and bring product insights back to the software stack.
Use AI development tools daily and help shape how the software team builds with them.