Define and drive the vision, strategy, and roadmap for Plaid’s data, ML, and AI platforms. Enable teams to move from raw data to insight and intelligence quickly and safely.
Build and scale foundational systems and tools that power model training, data pipelines, and data-driven products across Plaid.
Lead initiatives to improve data governance, discoverability, and quality. Ensure secure, compliant, and auditable access to trusted data and models.
Partner with engineering, data science, and product teams to design scalable online and offline data flows that connect upstream generation with downstream analytics and products.
Align teams across the Data Org, ML engineering, and product lines such as Credit, Fraud, and Identity. Translate platform investments into measurable impact.
Stay current on trends in ML, AI, and data infrastructure. Help shape how Plaid applies these technologies responsibly and effectively.
Requirements
8+ years of product management experience in data platforms, ML/AI tooling, or developer infrastructure
Strong understanding of the data and model lifecycle, including collection, governance, training, deployment, and observability
Experience shipping high-leverage platform products used by data scientists, engineers, or product teams
Ability to combine strategic thinking with hands-on execution and influence across a wide range of stakeholders
Builder mindset with comfort in ambiguity and a track record of taking ideas from concept to launch
[Nice to Have] Experience in regulated or compliance-heavy environments such as fintech or healthcare
[Nice to Have] Familiarity with modern data stack tools like dbt, Airflow, Feast, MLflow, or Snowflake
[Nice to Have] Experience shaping data governance, experimentation, or ML practices at scale
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