Responsibilities
- Define the strategy, roadmap, and success metrics for Plaidβs core AI and data foundation to enable smarter financial products.
- Partner with Engineering and Data Science to design scalable AI systems from model training and evaluation pipelines to APIs.
- Drive initiatives from concept to production balancing experimentation with reliability and responsible AI practices.
- Work closely with research, platform, and product teams to embed AI capabilities across products and developer platform.
- Use metrics, model performance data, and customer feedback to validate impact and continuously improve outcomes.
- Translate complex AI concepts into clear narratives and tradeoffs for technical and non-technical stakeholders to build shared understanding.
Qualifications
- 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 modern ML systems training, evaluation, deployment, and monitoring to engage confidently with engineers and data scientists.
- Skilled at defining long-term AI vision while delivering near-term experiments, prototypes, and launches.
- Experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworks.
- Strong communicator who translates complex AI concepts 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.