Senior Engineering Manager, AI Platform

What you will do

• Lead and grow a team of engineers responsible for the foundational AI platform powering Rippling AI.
• Own critical infrastructure areas including retrieval systems, search, reasoning frameworks, AI execution environments, observability, performance, and reliability.
• Drive improvements in latency, quality, scalability, and developer productivity across the AI platform.
• Build and evolve the platform capabilities that enable teams across Rippling to develop AI-powered products, agents, and automations.
• Partner with product and engineering leaders to define platform strategy and prioritize investments that unlock the next generation of AI experiences.
• Lead large-scale initiatives across areas such as memory systems, automated tuning, evaluation frameworks, reporting, and AI performance optimization.
• Develop safe, scalable execution environments for AI-powered workflows, including code execution, document generation, and other agent capabilities.
• Collaborate with teams building customer-facing AI products while ensuring the underlying platform can support rapid growth and evolving use cases.
• Recruit, mentor, and develop exceptional engineers while fostering a culture of technical excellence, ownership, and velocity.
• Help shape the long-term architecture of Rippling's AI ecosystem as the company scales toward hundreds of AI-powered workflows and experiences.

What you will need

• 8+ years of software engineering experience, including significant experience building large-scale distributed systems or platform infrastructure.
• 2+ years of engineering management experience leading teams delivering complex technical projects.
• Track record of leading engineers through highly ambiguous, fast-moving technical environments.
• Strong systems design and architecture experience across scalable backend platforms, infrastructure, or developer platforms.
• Experience building and operating production services with demanding requirements around reliability, performance, and observability.
• Demonstrated ability to lead cross-functional initiatives and influence technical direction across multiple teams.