Top Program and Project Management Jobs

Leads complex, cross-functional Enterprise Technology, AI, and Data programs from planning through delivery. Responsibilities include roadmap development, dependency and resource management, risk and issue tracking, governance, executive communications, operational transformation, enterprise application initiatives, and AI workflow adoption. The role aligns technical and business stakeholders across Finance, Legal, Sales, Marketing, Product, and other functions while improving program delivery practices in a remote, globally distributed environment.

Lead complex, end-to-end technical programs across product, engineering, data, and security teams. Translate strategic priorities into roadmaps, manage risks and dependencies, coordinate distributed teams, and align executive stakeholders. Drive AI platform, data, infrastructure, security, reliability, and enterprise adoption initiatives from inception through launch and continuous improvement while ensuring predictable execution and transparent communication.

Lead complex, cross-functional Enterprise Technology and AI programs from planning through delivery. Develop roadmaps, resource plans, success metrics, governance frameworks, and status reporting. Align technical and business stakeholders, manage dependencies and risks, resolve blockers, and translate requirements into actionable plans. Partner with IT leadership and functions including Finance, Legal, Sales, and Product in a globally distributed, async-first environment.

Manage large-scale software and consulting projects end-to-end for enterprise customers. Coordinate cross-functional teams, executive stakeholder communications, escalations, delivery schedules, scope, risks, and revenue recognition while improving Professional Services PM processes, tools, metrics, and templates.

Lead go-to-market program management for Product & Technical Marketing, owning launch operating models and cross-functional initiatives. Design and scale AI-first launch frameworks and agent workflows, coordinate Product through Growth/Comms/Field, drive decision velocity, measure pipeline and adoption outcomes, and institutionalize repeatable processes across distributed teams.