Senior Manager, AI CoE

The role

You will lead engineering teams responsible for delivering Redwood's shared AI platform and agentic capabilities. You will translate AI strategy into an engineering roadmap and manage people leadership, execution, and team health.

What you will do

• Lead one or more engineering teams responsible for AI platform services, agentic capabilities, developer tools, and product integrations.
• Translate business and product priorities into a clear engineering roadmap, delivery plan, and team-level objectives.
• Recruit, onboard, manage, and retain engineers.
• Establish clear ownership, performance expectations, decision-making responsibilities, and development plans.
• Drive predictable execution through planning, dependency management, risk identification, and operational readiness.
• Partner with senior individual contributors to guide architecture and technical direction.
• Ensure consistent engineering practices across AI evaluation, observability, model governance, security, reliability, performance, and cost management.
• Collaborate with Product, Architecture, Security, Data, Legal, and product engineering teams.
• Balance shared platform investments with customer-facing requirements and immediate product priorities.
• Monitor delivery, quality, platform adoption, incidents, operational performance, and engineering effectiveness.

Required qualifications

• 7+ years of experience in software engineering
• At least 2+ years in an engineering people-management or team-leadership role
• Experience leading one or more engineering teams responsible for complex software products or platform services
• Demonstrated experience hiring, managing performance, coaching engineers, and supporting career development
• Track record of delivering enterprise SaaS, cloud, distributed systems, platform, ML, or AI products into production
• Strong working knowledge of generative AI, agentic architectures, LLM-based applications, orchestration, and production deployment considerations
• Understanding agent workflows involving tool use, retrieval, enterprise data, APIs, memory, guardrails, and human oversight
• Experience managing technical roadmaps, delivery risks, dependencies, incidents, quality, and operational performance
• Strong understanding of software architecture, APIs, cloud-native systems, automated testing, CI/CD, security, and observability
• Ability to guide technical decisions and architecture discussions while empowering senior engineers to own implementation
• Strong communication skills to explain technical and business trade-offs to senior stakeholders
• Experience working effectively with distributed and cross-functional teams

Nice to have

• Experience establishing or scaling an AI platform, agentic engineering team, Center of Excellence, or developer platform function
• Hands-on exposure to LangGraph, AutoGen, Semantic Kernel, or custom agent orchestration frameworks
• Experience with AI evaluation platforms, model gateways, vector databases, prompt lifecycle management, or AI observability tools
• Understanding of responsible AI, model governance, privacy, compliance, and enterprise security requirements
• Experience in enterprise middleware, workflow orchestration, ERP, automation, or integration platforms
• Experience balancing greenfield platform development with the modernization of existing enterprise products
• Experience working in regulated, security-sensitive, or high-availability environments

About the company

Redwood Software helps the world's largest enterprises automate mission-critical business processes. Their platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments.