Senior Manager, Staff Software Engineering - Applied AI

GEICO•Palo Alto, CA

1d•$150,000 - $300,000

About The Position

We are seeking a Senior Manager, Staff Software Engineering - Applied AI to lead foundational platform team. This leader will shape the strategy, architecture, and execution of the core systems that power AI experiences across customer and internal agent journeys. This is a high-impact role for an engineering leader who combines deep technical judgment, strong organizational leadership, and a track record of building scalable platforms. You will be responsible for developing the teams and platform capabilities that enable secure, reliable, and reusable AI experiences across the enterprise.

Requirements

12+ years of software engineering experience, including significant experience building distributed systems and platform capabilities at scale
5+ years of engineering management experience leading high-performing teams
Strong technical background in platform engineering, APIs, orchestration systems, and service-oriented architectures
Experience leading Applied AI, intelligent systems, conversational AI, or workflow automation initiatives in production environments
Proven ability to influence cross-functional strategy and drive execution across complex organizations
Excellent communication skills, sound technical judgment, and strong people leadership

Nice To Haves

Experience with large language model applications, agent frameworks, AI orchestration, evaluation, or governance
Experience building platforms that support customer-facing or internal assistant experiences
Track record of building reusable platforms that create leverage across multiple teams and product areas
Demonstrated success hiring, developing, and retaining strong engineering talent

Responsibilities

Lead and grow high-performing engineering teams responsible for critical Applied AI platform capabilities
Define and drive the technical strategy for foundational AI platforms, including shared services, orchestration, reusable skills, and agentic workflows
Partner closely with product, architecture, domain, and business leaders to translate complex business needs into scalable platform solutions
Oversee the design and delivery of secure, resilient, and extensible systems that support AI experiences across channels
Establish strong engineering standards across architecture, development, quality, observability, and operations
Build a culture of technical excellence, ownership, continuous improvement, and strong cross-functional collaboration
Balance near-term execution with long-term platform vision and organizational scale