AI Product Engineering Manager

Quick Facts

• Role: AI Product Engineering Manager
• Focus: Lead delivery and secure-by-design execution for AI-enabled product experiences

Description

Lead a team of AI Product Engineers responsible for delivering high-quality, secure, scalable AI-enabled product experiences. Own day-to-day execution, technical dependency management, delivery predictability, and consistency of technical patterns across a product or platform area. Partner with Product, Engineering, Architecture, Design, and Security to translate product intent into executable, maintainable solutions.

Responsibilities

Execution & Delivery Leadership

• Own day-to-day delivery execution for one or more AI-enabled product areas, ensuring commitments are met with high quality and predictability.
• Monitor incoming work to identify conflicts, sequencing challenges, technical dependencies, and delivery risks early.
• Ensure consistent application of approved technical patterns, tooling, and guardrails across deliverables.
• Maintain visibility into delivery status, risks, and dependencies; escalate issues with clear options and recommendations.
• Balance speed and quality, ensuring maintainability, security, and compliance are not compromised.
• Identify delivery risks related to dependencies, platform maturity, tooling limitations, or unclear requirements.
• Drive continuous improvement in delivery practices, tooling usage, and execution efficiency.
• Reinforce a culture of proactive improvement in requirement quality and execution readiness.

Strategic Leadership

• Partner with Product and Backend Engineering to align implementations with reference architectures, platform constraints, and long-term maintainability.
• Ensure secure-by-design principles are followed, including authentication/authorization patterns, secrets management, RBAC, data privacy, and auditability.
• Champion consistency of design system and UX patterns, integration approaches, and AI-assisted assembly techniques.
• Identify and resolve recurring technical friction or delivery bottlenecks through improvements in patterns, tooling, or processes.
• Work with Product Managers to clarify requirements and strengthen execution readiness and sequencing.
• Ensure AI Product Engineers add technical insight, UX considerations, integration patterns, and feasibility constraints to requirements.
• Coordinate with Engineering, Security, DevOps, and QA to ensure smooth handoffs and adherence to SDLC processes.
• Act as the primary coordination point between AI Product Engineering and Backend Engineering for assigned initiatives.

People Leadership

• Directly manage, coach, and develop AI Product Engineers; foster accountability, collaboration, and technical excellence.
• Set expectations for delivery quality, ownership, technical rigor, and cross-functional partnership.
• Lead performance management and compensation-related activities, including annual reviews.
• Support career development with feedback, skills coaching, and growth planning aligned to skill frameworks.
• Ensure team members understand and apply security, compliance, and governance requirements relevant to AI-assisted development.

Benefits

• Medical and dental coverage for employees and dependents, including domestic partners and spouses
• Paid time off (flexible options plus 10 paid company holidays where available)
• Hybrid work; many roles may be completely remote
• Fully paid vision insurance, short & long-term disability insurance, and basic life insurance
• Generous family leave options, including adoption and foster care placements
• Pre-tax savings accounts (FSA, HSA, commuter benefits, dependent care savings)
• 401(k) with company match up to 4%
• Employee assistance program (EAP)
• Education assistance program for industry/role-specific certifications
• Wellness benefits with reimbursement
• Additional coverages available: pet insurance, critical illness insurance, voluntary life & AD&D
• Note: Flexible PTO not available in California or the UK