Staff Technical Program Manager, Enterprise AI

Procore Technologies•Austin, TX

2d•$168,560 - $231,770•Hybrid

About The Position

Procore Technologies is seeking a Staff Technical Program Manager, Enterprise AI, to lead enterprise-wide AI programs and establish operational frameworks that scale artificial intelligence across the organization. As part of the Enterprise AI Center of Excellence, this role works with Principal Product Managers, Architects, Enablement Managers, and cross-functional leaders in Security, Legal, Finance, and Product & Technology to translate enterprise AI strategy into delivered results. The position is based in Procore’s Austin, Texas office, with flexibility for remote candidates anywhere in the U.S., and reports to the Senior Director, Technology Transformation & Enterprise AI. The role leads AI programs from strategic planning through operational adoption; coordinates dependencies, risks, and timelines; and establishes the cadence for partner alignment and executive reporting. It owns the enterprise AI intake and request-routing pipeline, tracks requests through the software lifecycle, facilitates governance and review with Security, GRC, and Legal, and manages the backlog of AI use cases and connectors. It also designs repeatable operational processes, including intake forms, service level agreements, workflows, and program documentation. The base pay range is $168,560 to $231,770 annually. The role may also be eligible for equity compensation and/or bonus incentive compensation. Actual compensation depends on job-related skills, experience, education or training, and location.

Requirements

At least 8 years of experience in technical program management delivering large-scale cross-functional programs in an enterprise environment.
Experience designing, establishing, and scaling intake, governance, or service management operational frameworks.
Demonstrated cross-functional leadership and collaboration with engineering, security, legal, compliance, and business unit stakeholders.
Practical technical understanding and fluency with modern AI tools, architectures, and workflow tools such as Jira and Jira Service Management.
Excellent organizational skills, proactive follow-through, and strong written communication skills to simplify complex topics for varied audiences.
Ability to navigate ambiguity and build structured operational frameworks where none currently exist.
Bachelor’s degree in Computer Science, Information Systems, Business Administration, or equivalent practical experience.

Nice To Haves

Experience as a Technical Program Manager, Senior Program Manager, or IT Portfolio Manager within an enterprise technology, SaaS, or high-growth technology environment.
Experience as an Operations Lead, Governance Manager, or Service Management Lead focused on emerging technologies, enterprise architecture, or AI/ML initiatives.
Experience managing cross-functional risk, compliance, and deployment pipelines for enterprise software or data/AI platforms.

Responsibilities

Lead complex enterprise-wide AI programs from strategic planning through full operational adoption.
Manage multi-team dependencies, risk frameworks, and timelines across Enterprise IT, Security, Legal, and Business Units.
Establish and drive the operational program cadence, lead partner alignment sessions, and compile monthly executive-level progress reports.
Own and optimize the enterprise AI intake and request-routing pipeline, capturing business value, technical requirements, and success metrics.
Track requests through the software lifecycle, from intake and prioritization through incubation, scaling, and production adoption.
Facilitate enterprise AI governance and review with Security, GRC, and Legal to support consistent evaluation and compliance standards.
Manage the enterprise backlog for AI use cases and connectors in alignment with product priorities, and communicate transparently with stakeholders.
Design and implement scalable operational processes, including intake forms, service level agreements, routing workflows, and program documentation.