AI Senior Product Manager

bsport; Paris; Hybride; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive salary packages

Hybrid work model

Fully funded private health insurance

Discounted gym membership

Diverse and inclusive team culture

Résumé du poste

bsport is looking for an experienced Product Manager to guide the Business Insights & AI vertical, driving the vision and strategy for innovative product experiences. You will lead cross-functional projects, ensuring product delivery meets customer needs and drives measurable business impact.

The ideal candidate has 4+ years in Product Management, a strong understanding of data and AI, and the ability to maneuver complex initiatives. The role offers a hybrid work model, competitive salary, and a supportive, inclusive team culture.

Qualifications

• 4+ years of experience in Product Management.
• Experience in data-heavy B2B SaaS environments.
• Strong product sense to simplify complex data/AI capabilities.
• Excellent communication and stakeholder management skills.

Responsabilités

• Define product strategy and drive vision for Business Insights and AI.
• Lead cross-functional initiatives with focus on delivery and impact.
• Collaborate with Sales, Customer Success on product launches.
• Track success metrics and gather feedback for continuous improvement.

Connaissances

Product Management

B2B SaaS

Data Analytics

AI

Communication

Outils

Linear

Mixpanel

Databricks

Featurebase

Dovetail

Notion

Sigma

Description du poste

We are bsport. The place to be! bsport is an all‑in‑one platform combining boutique fitness and advanced technology. Our platform helps partners manage bookings, payroll, marketing, and more, to streamline operations and boost commercial success.

About the role

We’re hiring a Product Manager to lead our Business Insights & AI vertical—a strategic product area at the heart of bsport’s next phase of growth.

Key Responsibilities

• Own product strategy and ownership: define and drive the vision for Business Insights, AI, and agent‑powered experiences; manage the product roadmap; lead high‑impact product work from problem framing, discovery, delivery, launch, to iteration; translate complex data and AI capabilities into clear, intuitive user value.
• Discovery & innovation: identify high‑value workflows where data, machine learning, or generative AI can reduce effort or unlock new outcomes; partner with Design, UX Research, and Data to combine qualitative insights with quantitative analysis; run discovery on AI‑powered experiences such as summaries, recommendations, agents, and automation; monitor industry trends to inform bold but grounded ideas.
• Delivery & execution: lead cross‑functional initiatives with accountability for delivery, adoption, and impact; work closely with Engineering and Data on semantic layer quality, data trust, warehouse performance, and AI feasibility; navigate trade‑offs between innovation, scalability, cost, and reliability; bring clarity to complex initiatives where UX, data, and AI intersect; proactively identify risks and dependencies, and drive alignment across teams.
• Business impact & Go‑to‑Market: define and track clear success metrics (adoption, engagement, retention, efficiency, revenue impact); build lightweight business cases to guide prioritisation and stakeholder decisions; collaborate with Sales, Customer Success, and Marketing on launches, enablement, and positioning; ensure insights and AI features are understandable, trusted, and actionable for customers; continuously gather feedback and iterate based on real‑world usage.
• Cross‑functional leadership: actively contribute to the Product team’s standards, rituals, and best practices; partner with Design, Engineering, Data, and Leadership to shape bsport’s AI and data strategy; communicate clearly with both technical and non‑technical stakeholders; champion experimentation, learning, and thoughtful innovation.

Tooling

• Linear for product & project management
• Mixpanel for product analytics
• Databricks for data and ML foundations
• Featurebase for product feedback & communications
• Dovetail for customer research & insights
• Notion for documentation & knowledge management
• Sigma as our embedded BI and analytics layer in our SaaS
• Embedded AI tooling, ML models, and agent‑based systems (shaped by the team)

About You

• 4+ years of experience in Product Management
• Experience in B2B SaaS, ideally in data‑heavy, platform, or vertical SaaS environments
• Proven ability to lead ambiguous, cross‑functional initiatives with measurable impact
• Strong product sense: turn complex data or AI capabilities into simple, valuable experiences
• Deep interest in AI and data‑driven products, with hands‑on experience designing, launching, or scaling AI‑powered or ML‑backed features
• Strong understanding and curiosity for the current AI landscape and state of the art, and experience applying it to real internal or customer‑facing use cases
• Comfortable working with data, analytics, and ML/AI concepts (no coding required)
• Strategic thinker with a bias for action and learning
• Excellent communication and stakeholder management skills
• Fluent in English

What We Offer

• Competitive salary packages based on experience and role
• Hybrid work model with remote days to support balance and flexibility
• Up to 15 days of remote work from abroad each year
• Fully funded private health insurance
• Discounted gym membership to support fitness and wellness
• Mature, diverse, and inclusive team culture with multicultural colleagues and regular team‑building events

Diversity & Inclusion

We are committed to fostering an inclusive environment where everyone can contribute their best work. We welcome applicants from all backgrounds, identities, and experiences to help us build a more inclusive, equitable team.