Product Manager, Data & Intelligence
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Job Description
Product Manager responsible for Neon One’s Data & Intelligence product strategy, focusing on AI enhancements. Collaborating across teams to drive innovation and deliver measurable outcomes for nonprofits.
Responsibilities:
- Define and execute the product strategy for Neon One’s Data & Intelligence platform, including data, insights, and agentic AI products
- Translate company and customer objectives into measurable product outcomes supported by a now-next-future rolling roadmap
- Evangelize a unified vision for data, analytics, and AI within Neon One’s portfolio, ensuring alignment across teams and stakeholders
- Identify and prioritize strategic opportunities for LLM, NLP/NLU, RAG, and machine learning integrations that deliver measurable nonprofit impact
- Manage a prioritized milestone backlog for the data and intelligence domain that balances innovation with delivery
- Partner with data scientists, ML engineers, Product managers, and research teams to define AI-driven features aligned with business and user needs
- Establish model evaluation criteria (accuracy, recall, F1, AUROC, MSE, bias detection, etc.), rules, performance SLAs, and monitoring thresholds
- Identify new and supplemental data sources to drive effective predictive and prescriptive models
- Support prompt and context engineering, ensuring high-quality datasets, traceability, and iterative model optimization
- Work with engineering to design data pipelines, governance frameworks, feedback loops, and API integrations that improve model performance and scalability
- Champion responsible AI principles such as bias mitigation, transparency, auditability, and explainability throughout the product lifecycle
Requirements:
- 5-7+ years of product management experience in SaaS, data analytics, or AI/ML-driven platforms (nonprofit or adjacent sectors preferred)
- Proven experience defining and launching AI-powered or data-driven solutions, including LLM, NLU/NLP, ML, or RAG-based systems
- Hands-on experience with model evaluation frameworks (e.g., MAE, AUROC, F1, confusion matrix)
- Demonstrated success working cross-functionally with engineering, data science, and go-to-market teams
- Experience with Agile or Lean product development methodologies
- Comfort with experimentation (A/B testing, beta programs, data-informed iteration)
- Exposure to nonprofit, fundraising, or donor management technologies strongly preferred
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience)
- Pragmatic Institute certification preferred.
Benefits:
- Health insurance
- Professional development opportunities
- Flexible work arrangements
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