A WORLD-CHANGING COMPANY Ethyca is redefining trust in the age of AI. We build automated data privacy infrastructure that embeds governance directly into data, ensuring policy, consent, and control live wherever data moves. Our clients include The New York Times and the world's most advanced organizations scaling AI responsibly. We're on a mission to make trust, respect, and privacy a default feature of every tech stack. THE ROLE As a Product Manager at Ethyca, you will own the product strategy and execution for key features within Fides, our open source privacy operating system. You'll be responsible for deeply understanding customer needs, defining the product vision, and working cross-functionally with Engineering, Design, and Customer Success to ship products that solve real problems for enterprises managing AI governance and data privacy at scale. RESPONSIBILITIES 1. PRODUCT STRATEGY & VISION - Develop and execute a quarterly product roadmap that aligns with company objectives and customer needs, delivering 90%+ on-time completion - Define and prioritize features based on customer impact, business value, technical feasibility, and strategic alignment with company goals - Conduct market research and competitive analysis to identify opportunities and ensure we're building differentiated products - Clearly articulate the problems being solved and how they connect to business outcomes and customer success 2. REQUIREMENTS & EXECUTION - Gather and document comprehensive product requirements by deeply understanding customer pain points, use cases, and workflows - Transform customer needs into clear, actionable user stories with well-defined acceptance criteria that minimize engineering revision requests - Implement data-driven prioritization systems that improve development efficiency and ensure the team builds the highest-impact features - Champion an MVP approach with rapid iteration based on user feedback and data insights 3. CROSS-FUNCTIONAL COLLABORATION - Partner closely with Engineering to ensure technical feasibility, participate in architectural discussions, and make informed trade-off decisions - Collaborate with Design to create intuitive user experiences that meet both user needs and technical constraints - Communicate product vision, priorities, and updates clearly to all stakeholders including Sales, Customer Success, and executive leadership - Align diverse stakeholders around product decisions through transparent communication and data-backed rationale 4. AGILE PRODUCT MANAGEMENT - Maintain a well-organized, prioritized product backlog with clear user stories and acceptance criteria - Lead sprint planning sessions and work with Engineering to define achievable sprint goals - Actively participate in agile ceremonies including standups, retrospectives, and demos - Drive iterative development through continuous feedback loops and regular product releases 5. DATA-DRIVEN DECISION MAKING - Define and track 3-5 key product metrics that demonstrate measurable product impact and user value - Leverage product analytics, user feedback, and market data to inform feature prioritization and product decisions - Design and analyze experiments (A/B tests) to validate hypotheses and optimize features - Synthesize qualitative user feedback with quantitative data to drive product improvements REQUIREMENTS 1. PRODUCT MANAGEMENT EXPERIENCE - 5+ years of product management experience shipping B2B or enterprise SaaS products with proven track record of successful product launches - Strong understanding of agile methodologies and experience working within agile frameworks to deliver incremental value - Experience managing complex product roadmaps with multiple stakeholders and competing priorities - Demonstrated ability to drive products from concept through launch and iteration based on customer feedback 2. AI/LLM PRODUCT 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 - 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 3. TECHNICAL ACUMEN - Sufficient technical understanding to have productive conversations with engineers about architecture, implementation approaches, and technical trade-offs - Ability to understand complex technical concepts related to data privacy, APIs, integrations, and distributed systems - Experience creating technical specifications that bridge business requirements and engineering implementation - Comfortable participating in technical discussions and making informed decisions about technical approaches 4. CUSTOMER-CENTRIC MINDSET - Deep commitment to understanding customer problems through research, interviews, feedback analysis, and data - Proven ability to translate customer needs into product requirements that solve real problems - 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 5. COMMUNICATION & COLLABORATION - 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 - 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 DIFFERENTIATORS PRIVACY/SECURITY DOMAIN EXPERTI