about the company.
Our client is an agile, high-growth startup at the intersection of fitness technology and professional sports. Having recently secured a prestigious brand license from a major US professional sports league, they are set to revolutionize the home and commercial gym experience. They specialize in AI-powered gym equipment and integrated wearable electronics that provide real-time performance analytics. With a finalized prototype and a global launch scheduled for later this year, this is a "ground-floor" opportunity to shape the future of sport-tech.
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about the team.
You will be joining a lean team of innovators. The culture is built on autonomy, speed, and the "multiplier" mindset—leveraging cutting-edge AI tools to achieve a scaled output. You will report directly to the Founder, acting as the technical backbone of the company.about the job.
As the Product Lead, you will own the entire product ecosystem. You will be responsible for transitioning the prototype into a market-ready consumer product and managing the ongoing lifecycle of the software.
Main/Primary Duties:
End-to-End Ownership: Lead the development and deployment of the software ecosystem connecting IoT gym equipment, wearables, and user applications.
AI Integration: Implement and oversee AI-supported development workflows to maintain a high velocity within a small team structure.
Product Roadmap: Partner with the Founder to translate the brand’s vision into technical requirements for upcoming product launches and firmware updates.
Architecture & Scaling: Design a robust, scalable backend capable of handling real-time data from thousands of concurrent users post-launch.
Vendor & Security Management: Manage integrations with third-party APIs and ensure top-tier data security for user biometric information.
skills & experiences required.
Experience: 6+ years in software development, with at least 2 years in a leadership or "Lead" capacity (ideally within a startup or IoT environment).
IoT & Wearables: Proven track record of shipping software that interfaces with hardware/sensors (Bluetooth, ANT+, or similar protocols).
AI-Native Workflow: Proficiency in using AI coding assistants and automation tools to streamline the development lifecycle.
Full-Stack Capability: Strong command of modern frameworks (e.g., Node.js, Python, React Native, or Flutter) and cloud infrastructure (AWS/Azure).
Mindset: A "builder" who thrives working independently and is comfortable with the ambiguity of a pre-launch environment.