An AI-native Agile Project Manager will lead software development projects from inception through delivery, combining Agile practices with AI-enabled tools, automation, and data-driven decisions. The role leads cross-functional teams and partners with stakeholders to deliver high-quality projects on time and within budget while improving delivery practices and project outcomes.

Responsibilities

Agile delivery: Use AI methods to meet scope, schedule, budget, and quality goals.
Team leadership: Direct cross-functional teams and foster human-AI collaboration.
Planning and resource management: Align customer needs, forecast capacity, and allocate workloads.
Communication: Use AI-enabled reports, summaries, action tracking, and dashboards with stakeholders.
Performance and risk management: Monitor analytics, identify delivery risks, and coordinate mitigation.
Process improvement: Optimize workflows, automate processes, and expand AI adoption.
Financial collaboration: Follow up on billings and invoices, and protect project profitability.

Required Qualifications

Proven Agile project management experience and knowledge of Scrum, Kanban, or similar methodologies.
Strong communication, organizational, and leadership skills.
Exceptional problem-solving and decision-making abilities.
Proficiency with project management software and AI productivity tools.
Experience using generative AI tools to improve project management, communication, reporting, or operational efficiency.
Strong analytical mindset and ability to use data and insights to guide decisions.

Preferred Qualifications

Agile or project management certification, such as PMP, CSM, or PMI-ACP.