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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Product Manager, Enterprise AI - **Company:** Procore - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $198,240.0 - $272,580.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Project Management Software, Automation of Marketing, Large Language Models, Generative AI, AI Platforms, Claude - **Published:** October 11, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88486305/1 ## About the Role * 10+ years of product management experience, including leading platform or internal-tools products at enterprise scale * Hands-on fluency with generative AI tools and a working understanding of LLMs, agents, and connectors, enough to challenge technical recommendations * Demonstrated experience evaluating, selecting, or rolling out AI or automation platforms at enterprise scale, including building business cases with clear cost and value * Experience partnering across engineering, data, and business stakeholders to drive adoption of a new technology or platform * Strong prioritization judgment across competing stakeholders, and comfort saying no * Comfortable operating in ambiguity and building structure where none currently exists * Technically credible while staying focused on business outcomes, and commercially minded about value realization, not technology deployment alone * Proven ability to influence across organizational boundaries without direct authority * Experience partnering with security, legal, and compliance teams on governance * Clear communication with executives, business leaders, and engineers ## Description We're looking for a Principal Product Manager, Enterprise AI to join the Enterprise AI Center of Excellence. You'll own the strategy and portfolio for AI for operators and builders across the business, meaning how business teams at Procore use and build with AI: which tools and platforms we invest in, which use cases we prioritize, and how we decide. Your goal is to turn AI from a fragmented, team-by-team effort into a coordinated portfolio with clear standards, priorities, and measurable value. This is a business-led technology role, not an infrastructure or engineering position. You'll be the decision owner for enterprise AI tooling. You'll partner with the Principal Architect, Enterprise AI, who leads hands-on technical evaluation, and with AI Platform Engineering, which builds and runs Procore's AI platforms. We'd love for this role to be based in our Austin, Texas office, and we're open to great candidates anywhere in the U.S. It reports to the Senior Director, Technology Transformation & Enterprise AI. What you'll do * Be the product leader for the AI employee experience. Own the roadmap, use case prioritization, adoption strategy, and value delivery for how employees use AI. * Own the enterprise AI roadmap and tool portfolio. Decide which AI tools and platforms Procore invests in, how they're sequenced, and when legacy tools are retired. * Run tool and platform evaluations. Set the evaluation criteria, weigh business value, cost, and portfolio fit, and make clear recommendations. Partnering with the Principal Architect who leads the technical side of each evaluation. * Prioritize the use case portfolio. Score and rank AI use cases from across the business, decide what moves forward and where it's delivered, and stop work that isn't delivering value. * Set governance standards. Define how AI tools, connectors, and use cases are evaluated and approved, in partnership with Security, GRC, and Legal. The Staff TPMs, Enterprise AI run the process day to day. * Own the shared AI asset library. Treat shared skills, Claude Projects, and agent patterns as a product: decide what goes in, keep it current, and drive reuse across teams. * Act as product owner for enterprise agents and Claude. Treat Claude and enterprise-wide agents as internal products: own requirements, priorities, and the roadmap, partnering with AI Platform Engineering on delivery. * Define success and show value. Measure AI investments by time to value, productivity improvement, cycle time reduction, employee experience, risk, and financial impact, treating usage as a floor rather than the finish line. Validate realized benefits with business leaders. Work with Analytics and Finance to show what we're getting for what we spend, and shape vendor and license strategy and build-vs-buy recommendations. * Bring the business case to leadership. Prepare recommendations for the Enterprise AI SteerCo, keep the portfolio aligned with company priorities, and help hold the boundaries between the Center of Excellence and adjacent teams. What this role doesn't own To keep ownership clear, this role doesn't do hands-on technical evaluation or prototyping (the Principal Architect), run the intake queue (the Staff TPMs, Enterprise AI), own training and adoption programs (the Principal Enablement Manager, Enterprise AI), or build and operate platforms and agents (AI Platform Engineering).