Manage complex enterprise delivery programs for an AI data platform. Translate customer goals into plans, own end-to-end delivery health, and drive cross-functional execution with Product, Engineering, and GTM teams.
Salary not listed
On-site8+ YOETechnical Program Management
About the role
What You'll Do
Translate customer outcomes into integrated delivery plans — milestones, dependencies, critical path, DRIs, definitions of done — and manage scope as engagements evolve
Own delivery health end-to-end: maintain crisp status, surface risks early, and drive blockers to resolution so engineers stay focused on technical work
Run tight cadences that hold teams accountable to outcomes without micromanagement; every open item has an owner and a due date
Build durable delivery systems: single source of truth, action-item registers, risk registers, and playbooks that scale across the delivery org
Draft regular customer updates (often daily), own live and async reporting, and maintain stakeholder confidence through proactive communication
Identify automation opportunities and build AI-driven workflows to reduce operational overhead across engagements
Partner closely with Product, Engineering, and Go-To-Market teams to continuously raise the bar on delivery excellence
Required Qualifications
8+ years in program/technical program management or delivery operations
Track record managing complex, multi-stakeholder enterprise programs
Metrics-driven: owns and reviews delivery health KPIs weekly (on-time milestone rate, blocker aging, schedule variance, etc.)
Strong judgment under pressure; makes good decisions with incomplete information
Confident presence with senior engineers and executive customer stakeholders
Preferred Qualifications
Experience with enterprise AI or ML deployments
Familiarity with enterprise IT procurement and security processes
Background in startup ops, management consulting, or forward-deployed engineering
Experience building lightweight operating systems for distributed teams
Skills
Program ManagementTechnical Program ManagementDelivery OperationsProject ManagementStakeholder ManagementRisk ManagementKPI TrackingEnterprise Program ManagementCross-Functional CollaborationAi/Ml Deployments
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