Software Engineering Manager

Trimble•Westminster, CO

4d•Hybrid

About The Position

Elevate Organizational Performance: Drive the Future of AI-Powered Teams as our Next AI PDLC Engineering Manager. Step into a high-impact leadership role where you will directly shape the future of product development by combining hands-on technical architecture with agentic AI innovation. You will guide an agile engineering team to turn prototype AI capabilities into secure, scalable production features while directly empowering the career growth and success of your pod. About Us: Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. For more information about Trimble (Nasdaq:TRMB), visit: www.trimble.com. What Makes This Role Great: This unique position blends senior technical architecture with direct people leadership, placing you at the heart of our AI transformation. You will serve as both the primary technical backstop and the primary advocate for your team, directly deploying cutting-edge agentic frameworks, multi-agent orchestration, and modern AI tooling to solve complex enterprise problems.

Requirements

Demonstrated experience using and managing an AI Product Development Life Cycle (PDLC) process, including directing agentic AI tools across planning and delivery.
Proven track record of people management and technical leadership within fast-paced agile environments.
Strong proficiency in object-oriented design and programming, with deep expertise in .NET/C# alongside modern front-end frameworks like Angular, React, or Vue.
Deep hands-on experience with relational databases, SQL, API development, ETL processes, and enterprise CI/CD pipelines.
Applied commitment to ethical AI principles, including data privacy, explainability, transparency, and bias mitigation.

Nice To Haves

Experience architecting complex enterprise solutions and implementing agentic RAG or context engineering patterns.
Proven capability navigating legacy systems and modernizing them using scalable multi-agent workflows.

Responsibilities

Direct the pod's use of AI coding agents, orchestrating workflows, reviewing output, and establishing architectural guardrails to ensure sustainable code quality.
Transform high-potential agentic prototypes into production-ready software with robust error handling, security compliance, test coverage, and observability.
Lead, mentor, and advocate for a talented pod of engineers, owning hiring, onboarding, career development, and performance coaching.
Build and maintain shared repositories, CI/CD pipelines, evaluation datasets, and data access standards that accelerate delivery without sacrificing stability.
Align engineering throughput with product strategy, risk management, and organizational standards while advocating for your pod across cross-functional groups.