Senior Product Manager

Join Ethyca, a leading company in the field of data privacy and AI governance. As a Senior Product Manager, you will be responsible for the product strategy and execution of key features within Fides, our open-source privacy operating system. You will work cross-functionally with Engineering, Design, and Customer Success to deliver products that solve real problems for enterprises managing AI governance and data privacy at scale. You will also conduct market research, prioritize features, and communicate product vision and updates to all stakeholders.

• Définir et prioriser les fonctionnalités en fonction de l'impact sur le client, de la valeur commerciale, de la faisabilité technique et de l'alignement stratégique avec les objectifs de l'entreprise.
• Collaborer avec les équipes d'ingénierie, de conception et de réussite client pour expédier des produits qui résolvent de réels problèmes pour les entreprises.
• Développer et exécuter une feuille de route produit trimestrielle qui s'aligne sur les objectifs de l'entreprise et les besoins des clients, en livrant plus de 90 % des fonctionnalités à temps.
• Strong understanding of agile methodologies and experience working within agile frameworks to deliver incremental value
• Demonstrated ability to drive products from concept through launch and iteration based on customer feedback
• Experience managing complex product roadmaps with multiple stakeholders and competing priorities
• 5+ years of product management experience shipping B2B or enterprise SaaS products with proven track record of successful product launches
• Knowledge of AI governance, responsible AI practices, and the technical considerations for deploying AI at enterprise scale
• Ability to identify opportunities where AI can meaningfully improve product value and user experience
• Hands-on experience building products that leverage AI, machine learning, or large language models in production environments
• Understanding of AI capabilities, limitations, and best practices for integrating LLMs into product experiences
• Experience creating technical specifications that bridge business requirements and engineering implementation
• Ability to understand complex technical concepts related to data privacy, APIs, integrations, and distributed systems
• Comfortable participating in technical discussions and making informed decisions about technical approaches
• Sufficient technical understanding to have productive conversations with engineers about architecture, implementation approaches, and technical trade-offs
• Deep commitment to understanding customer problems through research, interviews, feedback analysis, and data
• Experience working with enterprise customers and understanding their complex requirements around security, compliance, and scalability
• Track record of increasing user adoption and engagement through improved product experiences
• Proven ability to translate customer needs into product requirements that solve real problems
• Experience working in distributed or remote teams with async communication as default
• Collaborative working style with demonstrated ability to partner effectively with Engineering, Design, Sales, and Customer Success
• Exceptional written and verbal communication skills with ability to articulate complex concepts clearly to diverse audiences
• Strong stakeholder management skills with ability to build consensus and navigate conflicting priorities
• Background in data governance, consent management, or identity and access management products
• Experience with privacy regulations (GDPR, CCPA) and understanding of privacy engineering challenges
• Understanding of enterprise security and compliance requirements (SOC 2, ISO 27001, etc.)
• Understanding of enterprise sales cycles, proof-of-concepts, and customer success requirements
• Experience selling to or building products for Fortune 500 customers with complex procurement and implementation processes
• Track record of driving product-led growth or expansion within enterprise accounts
• Engineering or computer science background with hands-on coding experience
• Experience as a technical product manager or solutions architect
• Ability to read code and contribute to technical discussions at a detailed level
• Thrived in high-growth startup environments (Series A-C) where you wore multiple hats
• Comfortable with rapid iteration, changing priorities, and moving fast with incomplete information
• Experience building products from 0-to-1 with limited resources and high ambiguity
• Experience designing and running experiments to validate product hypotheses
• Advanced proficiency with product analytics tools (Mixpanel, Amplitude, etc.)
• Strong quantitative skills with ability to analyze data and derive actionable insights
• Background in data science, analytics, or business intelligence