Jobs at Sporty Group

521,773 open positions

Sporty Group is a leading sports‑tech company that builds AI‑driven performance platforms for athletes, teams, and coaches. Their flagship product, Athlete Insights, aggregates real‑time sensor data to deliver actionable training metrics, while PlayTrack, a mobile app, uses machine learning to personalize workout plans.

Hiring spans software engineering, data science, product management, UX/UI, DevOps, and marketing technology roles. Candidates can expect a flexible, remote‑friendly environment with competitive compensation, equity options, and a focus on continuous learning through mentorship and hackathons.

Job Transparency’s listings reveal exact salary ranges, benefit packages, and employee sentiment scores for each Sporty Group role, allowing you to benchmark offers against industry standards and gauge team culture before you apply.

Mitigation Project Manager

Company: Real Restoration Group

Location: Chicago, IL

Posted Feb 11, 2025

Valid driver's license with a clean driving record. Conduct site inspections, develop scopes of work, and ensure project timelines and budgets are met.

Frequently Asked Questions

What is it like to work at Sporty Group?
Work at Sporty Group involves collaborating with cross‑functional teams on high‑impact projects, participating in weekly hackathons, and receiving mentorship from senior engineers. The culture prioritizes data‑driven decision making, open communication, and a healthy work‑life balance with flexible hours and remote options.
What types of positions are available at Sporty Group?
Sporty Group hires for roles such as Software Engineer (Front‑End, Back‑End, Full‑Stack), Data Scientist, Machine Learning Engineer, Product Manager, UX/UI Designer, DevOps Engineer, Quality Assurance, Security Analyst, and Marketing Technology Specialist. Each role emphasizes impact on athlete performance and product scalability.
How can I stand out as an applicant for Sporty Group?
Tailor your resume to highlight quantitative results in sports or health tech, showcase relevant open‑source contributions or personal projects, and prepare for technical interviews by revisiting data structures, algorithms, and system‑design concepts. Demonstrating passion for data‑driven athlete insights and providing specific examples of how you improved performance metrics will set you apart.

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