Who you are

• 5+ years of program or project management experience at a technology or consulting/services company focused on technology implementation and delivery
• Demonstrated ability to manage a high volume of complex, multi-stakeholder technology delivery projects end-to-end
• Proficiency with project-management tools (e.g., Jira, Asana, MS Project) and familiarity with Agile/Scrum and Waterfall methodologies
• Exceptional organizational skills with a proven track record of building and scaling PM infrastructures
• Outstanding verbal and written communication skills; experience presenting to C-level executives
• Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree a plus
• PMP, PgMP, or Scrum Master certification preferred

What the job involves

• We’re seeking a top tier Program Manager – AI Solutions to support end-to-end implementation of AI solutions at enterprise customer organizations
• You will establish and maintain robust project management infrastructure, coordinate cross-functional teams, and ensure timely delivery of AI solutions that deliver against customer expectations
• This is an exciting opportunity to work on the forefront of Generative AI with some of the leading brands in the world
• Program Leadership: Own the full lifecycle of AI solutions projects—from requirements gathering through development, deployment, and post-launch optimization
• Project Management Infrastructure: Design and implement standardized processes, tools, and templates (e.g., status dashboards, delivery templates) to support consistent, scalable AI solution delivery
• Cross-Functional Collaboration: Coordinate with Sales, Applied AI, Research, Product, and Engineering to drive alignment and remove roadblocks
• Stakeholder Communication: Provide regular updates to senior leadership on customer project status, milestones, and risks
• Risk & Issue Management: Proactively identify, assess, and mitigate risks; escalate issues appropriately, and document resolutions to continuously improve delivery processes
• Resource & Budget Planning: Define resource requirements, track team and project utilization, and optimize allocation across multiple concurrent AI initiatives
• Change Management: Develop and execute change-management plans (training materials, user guides, rollout schedules) to drive adoption of AI-powered solutions within the business
• Continuous Improvement: Gather and analyze post-implementation metrics, collect stakeholder feedback, and drive lessons-learned sessions to refine methodologies and accelerate future deployments