NobleAI is a Science-Based AI platform focused on improving product and asset performance across various industries. The Customer Program Manager will lead customer projects from kickoff through delivery, ensuring timely completion and alignment with customer goals while facilitating collaboration among cross-functional teams.
Responsibilities:
- Manage end-to-end customer implementation projects, pilots, and proof-of-concepts
- Develop detailed project plans, timelines, milestones, resource plans, and risk strategies with Account Directors and Solutions Engineering
- Facilitate project kickoffs to set clear objectives, deliverables, responsibilities, and success criteria
- Align project priorities, resource allocation, and delivery timelines
- Monitor project progress, identify risks, remove blockers, and resolve issues timely
- Serve as the primary customer PM contact, building trusted relationships through proactive, transparent communication
- Manage customer expectations while balancing business priorities and technical constraints
- Capture and communicate customer feedback internally to incorporate it into project execution
- Coordinate cross-functional work across Account Directors, Solutions Engineering, Product Management, Engineering, AI/ML teams, and internal stakeholders
Requirements:
- Bachelor's degree in Business, Engineering, Computer Science, Scientific discipline, or related field
- 3+ years of experience managing enterprise software implementations, deployments, or technical customer projects
- Demonstrated experience leading multiple concurrent customer engagements
- Strong understanding of project management methodologies (Agile, Scrum, Waterfall, or hybrid)
- Excellent organizational, communication, and stakeholder management skills
- Experience coordinating cross-functional technical teams
- Ability to translate technical concepts into customer-friendly communications
- Strong problem-solving, prioritization, and decision-making skills
- Experience with project management tools such as Jira
- Experience working with AI, machine learning, data science, or scientific software platforms
- Familiarity with chemistry, materials science, manufacturing, energy, or industrial software environments
- Experience managing enterprise customers with complex technical implementations
- PMP, PMI-ACP, Certified ScrumMaster (CSM), or similar project management certification