Product Manager, Data & Intelligence

About Neon One

At Neon One, we believe that technology is the key to building vibrant communities of generosity. As a leader in nonprofit software since 2004, we create intuitive solutions that help small and mid-sized nonprofits connect with people, build trust, and make good happen every day.

Our culture is powered by empathy, innovation, and a shared mission to empower organizations making a difference. We operate with a customer-first mindset, take pride in extraordinary results, and grow together by supporting each other and embracing bold new ideas. If you’re passionate about using your skills to drive real impact and want to thrive in a collaborative, fully remote environment, Neon One is the place for you.

About the Role

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.

Key Responsibilities

Strategic Leadership

• 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

Data, AI, and Technical Collaboration

• 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

Product Discovery & Customer Research

• 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

Execution & Roadmap Management

• Translate strategy into clear, actionable user stories and technical requirements, ensuring the Data team understands "what," "why," and "how" for each initiative

• Manage a prioritized milestone backlog for the data and intelligence domain that balances innovation with delivery

• 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

• Translate strategy into clear user stories and requirements, ensuring product delivery teams understand “what” and “why” for each initiative

• Collaborate cross-functionally to ensure organizational readiness for go-to-market, enablement, and customer adoption

Analytics and Business Impact

• 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

Key Qualifications

• 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

Why Join Neon One?

At Neon One, our values are how we show up every day. We make good happen by putting empathy and passion at the center of our work, using technology to uplift mission-driven organizations. We stand for our customers, act with care and intention in every decision, own the solution, and grow together. We innovate fearlessly, always exploring new ways to support our community and each other.

How We Hire

We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. That said, every rejection decision is made by a human. We encourage candidates to apply authentically and avoid relying solely on AI-generated responses, especially during interviews.

This posting is for a current, open position within Neon One.

This opportunity is offered through HighlightTA, the on-demand talent team supporting Neon One’s growth.

Connect with us and learn more:
Neon One on LinkedIn

HighlightTA on LinkedIn