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# Technical Program Manager

- **Company:** Plaid Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $172,800.0 - $237,600.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Data Governance, Data Infrastructure, Machine Learning, Software Architecture, Azure Machine Learning, Cloud Platform System, Data Management
- **Published:** July 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=af84b46f176a2a66

## About the Role

* 6+ years leading complex technical programs.
 * Strong understanding of software architecture and engineering systems.
 * Experience driving cross-functional programs involving multiple engineering teams.
 * Excellent communication and stakeholder management skills.
 * Comfortable operating in ambiguous, fast-moving environments.
 * Experience with data platforms, infrastructure, ML platforms, or developer productivity is a strong plus.
 * Prior experience in fintech or another highly regulated environment is a strong plus.

## Description

As a Technical Program Manager, you will lead high-impact, cross-functional initiatives. As a generalist, you may work on a variety of programs. An example is one that strengthens Plaid's data and machine learning platforms. You will partner with engineering, product, data, legal, privacy, and business stakeholders to drive complex technical programs from planning through execution. Your work will help improve data governance, modernize machine learning infrastructure, and accelerate the adoption of trusted, high-quality datasets that power analytics, artificial intelligence, and product innovation. Success in this role requires strong program management, stakeholder alignment, and the ability to drive execution across multiple teams while ensuring strategic initiatives are delivered on time and at scale., * Lead complex, cross-functional technical programs that improve data infrastructure, governance, and machine learning platforms.

 * Drive end-to-end program execution by managing plans, milestones, dependencies, risks, and stakeholder communication across engineering and product organizations.
 * Partner with engineering, product, data, legal, privacy, and business teams to align on priorities, scope, and success metrics.
 * Enable the adoption of standardized processes and best practices for data governance, platform modernization, and trusted data management.
 * Remove execution blockers, monitor progress against program goals, and provide regular updates to leadership.
 * Foster collaboration across multiple organizations to deliver scalable solutions that improve data quality, reliability, and operational efficiency.
 * Communicate progress to technical and executive stakeholders.
 * Improve execution frameworks and program health.


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