Artificial Intelligence AI Program/Project Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Artificial Intelligence AI Program/Project Manager in United States.

This role sits at the intersection of AI innovation, data strategy, and program execution, driving the delivery of high-impact AI/ML solutions across the organization.
You will lead end-to-end program management for generative AI and machine learning initiatives, ensuring alignment between engineering, data science, and business stakeholders.
The position plays a critical role in translating complex business needs into scalable AI-driven products and measurable outcomes.
You will oversee roadmap definition, prioritization, and delivery execution while ensuring transparency across leadership and cross-functional partners.
A strong focus is placed on data-driven decision-making, stakeholder alignment, and rapid delivery of high-value AI/ML solutions.
This is a highly visible role where your work directly influences AI strategy, operational execution, and business impact at scale.

• Collaborate with engineering, data science, operations, and business teams to define AI/ML solution vision, scope, dependencies, risks, and success criteria.
• Own and manage the AI/ML program roadmap, prioritizing initiatives, defining deliverables, and ensuring alignment with strategic objectives and key results.
• Lead end-to-end delivery of AI/ML solutions, ensuring projects are delivered on time, within scope, and with high quality standards.
• Translate complex business challenges into clear problem statements, technical requirements, and actionable program plans.
• Partner with engineering and data teams to support AI/ML model development, deployment, monitoring, and ongoing optimization in production environments.
• Drive stakeholder communication by preparing executive-level updates, performance metrics, progress reports, and strategic insights.
• Collaborate with R&D and operations teams to evaluate AI use cases, assess feasibility, and balance risks and benefits.
• Promote data-driven decision-making by leveraging analytics to measure performance and improve program outcomes.
• Facilitate cross-functional alignment across AI, data engineering, and business units to ensure successful execution of GenAI initiatives.
• Support continuous improvement by identifying opportunities to enhance processes, delivery speed, and solution quality.

---

Requirements:

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or a related technical field.
• 5+ years of technical program or product management experience, including 4+ years delivering AI/ML or data-driven solutions.
• Strong understanding of AI/ML lifecycles, data engineering concepts, and modern data platforms (Databricks experience is a plus).
• Proven ability to manage complex, cross-functional programs in fast-paced, data-driven environments.
• Experience working closely with engineering and data science teams on model development and production deployment.
• Strong analytical mindset with the ability to define measurable success criteria and drive outcomes based on data.
• Excellent communication skills with the ability to translate technical concepts for both technical and non-technical audiences.
• Demonstrated ability to prioritize competing initiatives and make informed trade-offs under ambiguity.
• Experience presenting to executive stakeholders and influencing strategic decisions.
• Strong organizational, collaboration, and stakeholder management skills.

---

Benefits:

• Competitive annual base salary range: 110,000 USD – 135,000 USD.
• Comprehensive medical, dental, vision, disability, and life insurance coverage.
• 401(k) retirement savings plan.
• Paid family leave and generous PTO (17–27 days depending on level and tenure).
• Paid holidays (9 days annually).
• Fully remote work environment with flexibility across U.S. time zones.
• Opportunities to work on high-impact AI and GenAI initiatives in a data-driven organization.
• Collaborative and innovation-focused work culture centered on continuous learning and impact delivery.