Product Owner III within PNC's Balance Sheet Analytics & Modeling Customer Data Management organization. Focus on managing the product backlog and customer requirements with Agile team collaboration.
About the role
- AI Platform Vision: Define the strategy, roadmap, and success metrics for Plaid’s core AI and data foundation, enabling smarter, more adaptive financial products across the ecosystem.
- System Development: Partner with Engineering and Data Science to design scalable AI systems, from model training and evaluation pipelines to APIs that deliver intelligence at scale.
- Product Execution: Drive initiatives from concept to production, balancing rapid experimentation with reliability, transparency, and responsible AI practices.
- Cross-Functional Collaboration: Work closely with research, platform, and product teams to embed AI capabilities across Plaid’s products and developer platform.
- Measurement and Iteration: Use metrics, model performance data, and customer feedback to validate impact, inform prioritization, and continuously improve outcomes.
- Communication and Alignment: Translate complex AI concepts into clear narratives and tradeoffs for technical and non-technical stakeholders, building shared understanding across teams.
Requirements
- 8+ years of product management experience with direct experience leading AI/ML or applied intelligence products from concept to production with measurable impact.
- Deep technical fluency in how modern ML systems are trained, evaluated, deployed, and monitored, with the ability to engage confidently with engineers and data scientists.
- Strategic and executional range. Skilled at defining long-term AI vision while delivering near-term experiments, prototypes, and launches.
- Platform mindset and experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworks.
- Strong communicator and influencer who can translate complex AI concepts into clear narratives and decisions for technical and non-technical audiences.
- Commitment to responsible AI and transparency, especially in regulated or high-trust domains.
- [Nice to Have] Hands-on experience with LLMs, embeddings, or agentic systems in production.
- [Nice to Have] Familiarity with applied AI in regulated or high-trust domains such as fintech, identity, or risk.
Benefits
- comprehensive benefit plan, including medical, dental, vision, and 401(k)
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