People directory
Browse profiles for the people whose decisions you need to win.
Sales-led storyteller. Opens with customer outcomes and platform momentum, closes with the bigger market opportunity. Allergic to internal jargon and feature-list pitches.
Numbers leader. Wants ARR, FCF, operating margin, and CAC payback math on the table — sourced, defensible, peer-benchmarked. Also runs corporate strategy and M&A (Moveworks, Armis acquisitions in 2025). Skeptical of growth stories that don't carry their own economics.
Platform thinker. Frames everything through Now Platform extensibility, AI Agents, and developer/builder velocity. Wants product decisions tied to the data architecture and the ecosystem flywheel — not single-feature wins. Combined CPO+COO scope as of late 2024.
Long-tenured platform engineer. Owns AI, product and quality engineering, developer productivity, cloud services, advanced technologies, and customer service & support engineering. Wants failure modes named first, then the solution. Skeptical of polish without depth.
People leader. Title expanded in early 2026 to add AI Enablement — owns workforce skilling and the org's adoption of AI agents internally. Cares about how decisions land in the org: culture, talent, employee experience. Will push back on plans that move org charts before considering the human cost.
Former ServiceNow CIO (2015–2024), now runs the Customer Office plus the Chief Transformation Office and the internal Digital Technology & Security teams. Translates between buyer needs and internal execution. Wants every recommendation framed against what real customer accounts are actually saying and doing.
Owns the global marketing and communications strategy. Cares about the narrative arc that the field, analysts, press, and prospects all hear. Wants product decisions framed in terms of the category story they advance — not the SKU they create.
Runs the Now Assist / AI Agents P&L. Owns the bet that drove ARR to $750M in Q1 with a $1.5B target by year end. Wants product decisions framed against the AI Platform's growth velocity, unit economics, and competitive position versus native AI in adjacent platforms.
Runs the platform engineering team underneath Pat Casey's org — the infrastructure, services, and AI technology layer that every product line builds on. Wants proposals that respect platform constraints and don't push hidden infra costs onto his org.
Runs Customer Experience programs across the install base — onboarding velocity, time-to-value, customer health, and the feedback loop back into product. Closest to where customers actually are in their adoption journey.