Product Manager - Intelligent Network Operations Control

Capgemini Engineering delivers engineering-led solutions with a focus on practical, product outcomes. This hybrid role in Atlanta, GA helps build an Intelligent Network Operations Control Tower platform that supports airworthiness and operational compliance, while leveraging AI/ML-driven planning and scheduling to improve real-world operations. You’ll own a multi-quarter product roadmap, coordinate across teams and customers, and guide delivery in a SAFe Agile environment.

Compensation: USD 101,140 - 182,624 per year. Experience required: 8+ years. Work model: hybrid.

Responsibilities

• Own the vision, strategy, and multi-quarter roadmap for the Control Tower platform across all three capability pillars, aligned to business objectives and customer outcomes.
• Define and prioritize Priority EPICs and features across Planning & Scheduling, Incident & Case Management, and Reporting & Dashboarding; groom the backlog while balancing value, effort, compliance, and commercial impact.
• Operate within a SAFe Agile Release Train by contributing to PI planning, writing clear user stories and acceptance criteria, and partnering with engineering and UX to deliver relevant increments.
• Partner with data science teams to shape optimization/ML-driven scheduling and predictive maintenance capabilities, including data requirements, success metrics, and guardrails.
• Translate operations and network-operations workflows into product requirements by engaging operations teams, engineers, and customers.
• Ensure the product supports airworthiness and operational compliance, including ADs, SBs, traceability, and audit trails, within relevant regulatory frameworks such as EASA / FAA.
• Define and track KPIs such as turnaround time, deferrals, utilization, downtime, SLA compliance, and CSAT, using analytics and feedback to steer the roadmap.
• Serve as a central coordination point across internal teams and customers, communicating progress and managing expectations.
• Own the end-to-end product lifecycle from concept and design through operation, iteration, and retirement.

Requirements

• Bachelor’s degree in engineering, Computer Science, Information Systems, Aviation/Aeronautics, or a related field (or equivalent experience).
• 8+ years of relevant experience, including 3+ years in a product management or product owner role for a B2B software / SaaS product.
• Hands-on experience delivering software in a SAFe or scaled agile environment, including PI planning, user stories, and backlog management.
• Working knowledge of MRO / network operations, including maintenance planning, scheduling, incident management, or operations control.
• Familiarity with aviation regulatory frameworks (EASA, FAA) and compliance concepts such as ADs, SBs, and traceability.
• Ability to partner with data science on AI/ML and optimization features, with strong data-driven prioritization skills.
• Excellent communication, stakeholder management, and leadership across technical and non-technical audiences.

Benefits

• Paid time off based on employee grade (A-F) with policy-defined coverage: Vacation 12-25 days depending on grade, plus Company paid holidays, Personal Days, and Sick Leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

Preferred

• Experience with MRO/operations-control platforms (AMOS, Trax, Traxxall, TrustFlight, Ramco, or similar) and/or aviation operations or maintenance environments.
• Knowledge of optimization, scheduling, predictive maintenance, and reliability analytics.
• Experience delivering cloud-based SaaS products, dashboards/BI solutions, APIs, and system integrations.
• SAFe/Scrum product certifications such as POPM, CSPO, or equivalent, and the ability to translate complex requirements into clear direction for delivery teams.

Technologies: SAFe Agile, AI/ML, Optimization/ML-driven scheduling, Predictive maintenance, EASA, FAA