Program Lead - Consulting

Sapsf; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Sapsf in United States is seeking an experienced Senior AI Product Manager to own the modernization backlog and translate customer needs into prioritized AI Factory use cases.

You will drive the Intake–Deliver–Deploy lifecycle, coordinate Hand Held and End Customers SMEs, architecture, engineering, QA and delivery teams for HITL gates and UAT readiness.

Strong English, cloud and AI certifications and a proven track record in agile product management are required.

Qualifications

• Bachelor’s degree in Computer Science, IT, Electronics or a related discipline.
• Senior/lead profile: mentors team members and influences decisions.
• Strong written and spoken English; customer data handling.
• AWS/GCP/Azure certification required.
• Certification on using AI for Software engineering.

Responsibilities

• Own the product backlog, priorities, acceptance criteria and six-week release content.
• Lead intake, use-case definition, complexity-tier alignment and dependency tracking.
• Maintain use-case catalogue and roadmap for Android, iOS, peripherals and self-service.
• Coordinate Hand Held, End Customer SMEs, architecture, engineering, QA and delivery teams for HITL gates and UAT readiness.
• Use KPI and feedback to prioritize automation, pattern reuse and quality improvements.

Skills

AI Engineering

AI Product Development

Cloud certifications

English proficiency

Education

Bachelor’s degree in Computer Science or related field

Job description

Requisition ID158068-Posted09/17/2026

QUALIFICATIONS & LEVEL

• Bachelor’s degree in Computer Science, IT, Electronics or a related discipline, or equivalent demonstrable experience; relevant cloud, Agile, mobile, security or platform certifications are advantageous.
• Senior/lead profile: owns complex outcomes, mentors team members and influences architecture, quality and stakeholder decisions.
• Strong written and spoken English, collaborative delivery behavior and disciplined handling of customer code, credentials and data.
• Certification required in AWS/GCP/Azure.
• Certificaiton on using AI for Software engineering.

ROLE PURPOSE

Own the product and modernization backlog, translate Hand Held and End Customer needs into prioritized AI Factory use cases, and drive accepted outcomes through the Intake–Deliver–Deploy lifecycle.

Key Responsibilities

• Manage the product backlog, priorities, acceptance criteria and six-week platform or customer release content.
• Lead application intake, use-case definition, complexity-tier alignment, wave readiness and dependency tracking.
• Maintain the use-case catalogue, product requirements documents and roadmap for Android, iOS, peripherals and self-service capabilities.
• Coordinate Hand Held, End Customer SMEs, architecture, engineering, QA and delivery teams for HITL gates and UAT readiness.
• Use KPI, customer feedback and lessons learned to prioritize automation, pattern reuse and quality improvements.

KEY DELIVERABLES / SUCCESS MEASURES

• Prioritized and groomed backlog; approved PRDs and acceptance criteria; release and wave readiness; timely HITL decisions; planning effectiveness ≥90%; customer satisfaction ≥8/10.

KEY INTERFACES

• Hand Held product and engineering owners, End Customer SMEs, AI/Engineering Architect, Platform Engineers, Technical Leads, QA and Delivery/Program Management.

Skill Requirements

Staffing-plan skills: AI Engineering, AI Product Development for mobile applications, Cloud Native, Mobile App.
Enhanced requirements: Agile product management, backlog prioritization, AI product development, cloud-native and mobile application concepts, requirements analysis, stakeholder facilitation, release planning, KPI-driven decision making.