Staff Program Manager - Enterprise AI

About the team:

The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations — our job is to make Rubrik more efficient, one AI-powered workflow at a time.

This is a high-impact, high-autonomy team where you’ll work closely with engineering, product, and operations teams across Rubrik to bring AI capabilities to life.

About the role:

As the AI Program Manager on the Enterprise AI team, you’ll be the operational backbone that keeps Rubrik’s AI initiatives moving with clarity and velocity. You’ll own the program management function across all AI workstreams — coordinating cross-functional teams, managing the portfolio of AI pilots and deployments, tracking progress against business outcomes, and ensuring leadership has full visibility into execution status. You bring structure to ambiguity and turn strategic AI goals into delivered results.

What you’ll do:

• Own AI program execution end-to-end — manage the portfolio of AI initiatives across Platform Engineering, Forward Deployed Engineering, Business Operations, and Global Support, ensuring projects move from concept to production on schedule.
• Drive cross-functional coordination — serve as the connective tissue between engineering, product, security, legal, finance, and business teams to remove blockers, align priorities, and maintain execution momentum.
• Build and maintain program infrastructure — establish project tracking, status reporting, RAID logs, and communication cadences that give leadership real-time visibility into AI program health.
• Manage stakeholder communications — prepare executive updates for SLT/ELT, run program reviews, and translate technical progress into business impact narratives.
• Support resource planning and allocation — partner with team leads to forecast capacity, manage contractor and vendor engagements, and ensure the right people are on the right workstreams.
• Facilitate AI adoption and rollout — coordinate the rollout of AI tools (Glean, Claude Code, Cowork) across the organization, including change management, training, and feedback loops.
• Track and report on business outcomes — define success metrics for AI programs, build tracking mechanisms, and ensure initiatives deliver measurable efficiency gains and ROI.
• Manage vendor and third-party relationships — coordinate with GSI partners and contractors, manage SOWs, and ensure third-party engagements align with program goals and timelines.

Experience you'll need:

• 12+ years of program or project management experience in technology organizations, with at least 2 years managing AI, ML, or data platform programs.
• Proven track record managing complex, cross-functional programs with multiple concurrent workstreams and stakeholders.
• Strong executive communication skills — able to distill complex technical programs into clear status updates, risk assessments, and decision frameworks for leadership.
• Experience with program management tools and methodologies (Jira, Asana, or similar; Agile, SAFe, or hybrid frameworks).
• Hands-on experience managing vendor and contractor relationships, including SOW management, performance tracking, and budget oversight.
• Strong analytical skills — comfortable defining KPIs, building dashboards, and using data to drive program decisions.
• Experience with change management and enterprise tool rollouts — driving adoption across diverse teams with varying levels of technical maturity.
• Collaborative, low-ego operator who thrives in fast-paced environments with ambiguity and shifting priorities.

Preferred qualifications:

• PMP, PgMP, or equivalent program management certification.
• Experience in enterprise SaaS or cybersecurity companies.
• Familiarity with AI development workflows, LLM ecosystems, and agent-based architectures.
• Experience managing FinOps or cost governance programs alongside technical delivery.
• Background in building PMO functions from scratch — establishing processes, templates, and cadences where none existed.
• Experience supporting global teams across US and India time zones.