Apply📍 United States
🧭 Full-Time
💸 165000.0 - 198000.0 USD per year
🔍 AI Product Management
- 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.
- 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.
AgileArtificial IntelligenceData AnalysisMachine LearningProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsAPI testingData scienceREST APICommunication SkillsAgile methodologiesExcellent communication skillsSaaSA/B testing
Posted 11 days ago
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