Senior AI Product Manager

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Requirements:

• 5-10 years of experience in Product Management, with at least 3 years managing AI/ML products.
• Proven ability to collaborate effectively across teams with experience in successfully launching products and features to market.
• Strong understanding of AI, machine learning, and data science principles, including experience working with AI teams.
• Experience developing and launching AI-powered SaaS or B2B products at scale.
• Highly quantitative, analytical, and business-minded with the ability to translate complex AI concepts into user-friendly solutions.
• Proven experience working closely with Development and QA in an Agile environment.
• Strong product management skills, with a track record of shipping AI-driven products that reached thousands of users.
• Ability to manage multiple AI initiatives simultaneously without compromising results.
• Familiarity with AI governance, bias mitigation, and responsible AI practices.
• Willingness to adapt to evolving requirements/needs of a fast-growing company.
• Excellent interpersonal and communication skills, with the ability to collaborate in a team-oriented culture.

Responsibilities:

• Define and execute the AI product strategy and roadmap, aligning with Fluxx’s broader vision and business goals.
• Deeply understand the grantmaking space, our customers, and their needs to ensure AI-powered products are truly transformative and drive Fluxx as a leader in the space.
• Conduct research on AI, machine learning, and industry-specific trends to identify opportunities where advanced analytics and AI can solve key problems for our customers.
• Develop a compelling AI product vision and oversee the entire AI product lifecycle, from ideation to launch and ongoing improvements.
• Partner closely with Engineering, Product, and Design teams to develop AI-powered solutions that are practical, ethical, and aligned with responsible AI best practices.
• Own the AI product backlog—breaking down features into deliverable increments, ensuring transparency, and prioritizing work based on business value.
• Define success metrics for AI models and products, tracking model performance and business outcomes to continuously improve them.
• Work cross-functionally to drive adoption and engagement of AI-powered features, partnering with Customer Experience and GTM.
• Ensure AI products comply with data privacy, governance, and ethical standards, mitigating potential risks related to AI decision-making.
• Evangelize AI-driven capabilities internally and externally, demonstrating their value while maintaining a human-centered approach to automation.