SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
EGYM, a global fitness technology leader, is seeking a Head of AI Products to lead the company's AI-driven product strategy and team in Munich (or Berlin). You will oversee a team of product managers and shape the future of personalized AI coaching experiences across EGYM's Trainer App, Member App, and connected gym hardware.
In this role, you will:
- Lead and develop a team of product managers, fostering strong product culture, discovery practices, and delivery excellence
- Define and execute the multi-year product strategy for AI workout experiences, aligning with company goals
- Own the end-to-end user journey across all platforms (Trainer App, Member App, Hardware) to deliver cohesive experiences for members, trainers, and gym operators
- Sequence the product roadmap, making balanced trade-offs on scope, timeline, quality, and resources
- Partner closely with Engineering, Design, Data, Sales, and Marketing to ship features and communicate strategy to leadership
- Shape AI/ML product direction to maximize user value, set evaluation standards, and ensure responsible release processes
- Define success metrics, evaluate outcomes through data and user feedback, and build business cases
In your first 6 months, you will build deep understanding of the product architecture, assess team structure and current strategy, establish clear priorities and cross-tribe alignment, present an aligned AI product roadmap, and launch at least one cross-tribe feature improvement.
EGYM is a B2B2C fitness technology platform offering connected gym equipment and digital products that integrate with third-party systems. The company also provides corporate fitness and wellness solutions targeting chronic health conditions and employee well-being.
Requirements:
- 7+ years in product management, including 3+ years managing product managers or cross-functional product teams
- Proven experience defining product strategy and translating it into executable roadmaps, owning adoption and business outcomes
- Experience managing capacity across multiple teams or product areas in matrixed organizations (tribes, functional leads, shared platforms)
- Hands-on experience shipping AI-driven products, specifically in personalization, recommendations, or generative AI
- Understanding of how AI/ML products are built, evaluated, and iterated on (data, models, quality metrics, limitations); ability to work credibly with data science and ML engineering teams
- Strong user-centric mindset with deep passion for product experience quality across touchpoints
- Excellent stakeholder management, team alignment, and executive communication skills in complex/matrixed environments; fluent in English (German a plus)
- Proactive mindset with ability to streamline processes and leverage AI for internal workflows
- Preferred: Background in B2B/B2B2C ecosystems, connected hardware/software platforms, or consumer health and fitness
