AI Technical Program Manager REQ_107

Role overview

AI-driven delivery

• Lead engagements embedding AI agents across requirements gathering, code generation, testing, documentation, and release management.
• Determine where AI improves efficiency and where human oversight is needed for quality, compliance, and trust.
• Contribute lessons from delivery work to the company's AI delivery practices.

Solutioning and client leadership

• Partner on engagement scope, delivery approach, and solution architecture before contracts are signed.
• Translate client needs into SOW commitments, assumptions, risks, and effort estimates.
• Lead day-to-day client delivery relationships and support executive governance, alignment, escalation, and transparency.

Program execution

• Own delivery outcomes, schedule, quality, and engagement margin across 2–3 concurrent accounts or one large strategic engagement.
• Define quality standards, manage dependencies and bottlenecks, and establish cadences, dashboards, escalation paths, and reporting.
• Set review depth, test coverage, security and compliance checks, and sign-off ownership for AI-generated work.
• Track contractual commitments and assumptions through execution and communicate delivery tradeoffs.

Minimum qualifications

• Started in software engineering or a closely related technical discipline and developed into process and program leadership.
• 10+ years across software engineering, technical leadership, and program management, including 5+ years in client-facing or product-facing delivery leadership.
• Experience deploying AI agents into delivery workflows and managing the associated human oversight model.
• Experience with fixed-outcome or SOW-based commitments, external client relationships, and pre-SOW solutioning.
• Working fluency in AWS, Azure, or GCP and experience in professional services, consulting, agency, or internal consulting.
• Excellent spoken and written English.

Desired experience

• Experience running multiple concurrent accounts and turning field lessons into lasting playbooks, standards, or practices is desired.
• Using quantitative and qualitative data to inform design decisions and drive change is desired.

Workplace and travel

• The company describes its work environment as nearly 100% remote and remote-first.
• Occasional travel, approximately 2–3 times per year, to company sites and client locations is required.

Work environment

• The company describes flexible work options, global collaboration, wellbeing resources, time off, and professional development opportunities.