Product Manager, Data & Intelligence

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1d•Remote

About The Position

The Product Manager, Data & Intelligence owns the complete product lifecycle for solutions within Neon One’s product portfolio focusing on our data and intelligence capabilities. This role is both visionary and hands-on, driving product initiatives from ideation and research through launch and continuous iteration and translating opportunities from other PMs and internal stakeholders into solutions that drive measurable outcomes for nonprofits. You’ll define and evolve Neon One’s data-driven and AI capabilities, enabling nonprofits to leverage insights and automation to increase efficiency, deepen donor relationships, and amplify mission impact.

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)
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience)

Nice To Haves

Exposure to nonprofit, fundraising, or donor management technologies strongly preferred
Pragmatic Institute certification preferred

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
Define and track AI evaluation metrics (accuracy, recall, F1, AUROC, MSE, bias detection, etc.) for responsible outcomes
Translate user behavior, telemetry, and operational data into actionable insights for continuous improvement
Collaborate with engineering to design data pipelines, governance, and feedback loops that improve model performance
Champion responsible AI principles such as bias mitigation, transparency, auditability, and explainability throughout the product lifecycle
Translate complex technical constraints and trade-offs into business context and vice versa, ensuring alignment on feasibility, effort, and impact
Conduct qualitative and quantitative research, including NIHITO customer visits, to uncover AI- and data-enhanced workflow opportunities
Lead experiments, proof-of-concepts, and A/B testing to validate AI feature efficacy
Maintain and expand the Product Fact Base, integrating user insights, analytics, and market intelligence
Monitor emerging trends in AI ethics, AI/ML, and nonprofit data innovation to guide strategic decisions
Translate strategy into clear, actionable user stories and technical requirements, ensuring the Data team understands "what," "why," and "how" for each initiative
Serve as the dedicated Product Owner for Neon One's Data team, a cross-functional engineering team specializing in AI/ML model development, data pipelines, and analytics infrastructure
Lead sprint planning, standups, backlog refinement, and retrospectives to ensure the team delivers on strategic priorities
Translate product strategy into granular, prioritized user stories with clear acceptance criteria, technical context, and business rationale
Work directly with data scientists, ML engineers, and data platform engineers to define model requirements, evaluation criteria, data schemas, and API contracts
Serve as the primary point of contact for technical questions, scope clarification, and cross-team dependencies to maintain delivery velocity
Use sprint metrics (velocity, cycle time, defect rates) and team feedback to optimize delivery processes and team health
Collaborate cross-functionally to ensure organizational readiness for go-to-market, enablement, and customer adoption
Use data to identify new opportunities, quantify outcomes, and define strategic bets tied to customer value or revenue potential
Build and communicate business cases, including build/buy/partner recommendations
Monitor model accuracy, drift, latency, adoption metrics, and business KPIs; communicate findings to stakeholders