Senior Manager – Engineering

Broadcom•Broomfield, CO

2d•$150,800 - $241,200

About The Position

We are seeking a highly technical and strategic Senior Engineering Manager to lead the evolution of our ValueOps Financial Intelligence Solution, bringing together AI, Cloud Financial Management, Software Portfolio Management (SPM), DevOps, and engineering analytics into a single intelligent operating model. This leader will build and lead engineering teams responsible for delivering AI-powered capabilities that help enterprises optimize technology investments, improve engineering productivity, manage cloud financial operations, and connect strategic planning with engineering execution. Working across Engineering, Product Management, Finance, Cloud Operations, and AI Platform teams, this role will define the next generation of ValueOps by embedding intelligence into every stage of the software lifecycle.

Requirements

10+ years of enterprise software engineering experience.
5+ years leading engineering managers and global engineering teams.
Strong experience building enterprise SaaS products.
Experience designing cloud-native distributed systems.
Proven success leading complex cross-functional initiatives.
Strong understanding of Agile software development and engineering delivery.
Excellent executive communication and stakeholder management skills.
Demonstrated ability to influence technical and business leaders.

Nice To Haves

Public Cloud (AWS, Azure, Google Cloud)
Private Cloud and Hybrid Cloud platforms
Kubernetes and container platforms
Software Portfolio Management (SPM)
Value Stream Management
Hybrid Cloud Financial Management
Agile Planning and Portfolio Management
DevOps and Platform Engineering
Engineering Productivity
Generative AI and Agentic AI
LLM integration, AI Agents, MCP, Prompt Engineering, and RAG
Enterprise analytics and executive dashboards
Financial planning and investment governance

Responsibilities

Lead the Unified Hybrid FinOps Engineering Strategy: Define and execute the engineering roadmap for Unified Hybrid FinOps capabilities. Build scalable enterprise SaaS solutions spanning public cloud, private cloud, and hybrid environments. Deliver an integrated AI solution connecting Hybrid Cloud FinOps, Software Portfolio Management (SPM), engineering metrics, and business value realization.
Drive AI-First Engineering: Lead adoption of Generative AI and Agentic AI across engineering workflows. Deliver AI-powered capabilities including: Cloud cost optimization, Capacity forecasting, Intelligent budgeting, Portfolio recommendations, Investment planning, Tokenomics, Executive insights, AI-assisted engineering operations. Partner with AI platform teams to leverage LLMs, AI Agents, MCP, Retrieval-Augmented Generation (RAG), and enterprise knowledge platforms.
Build Modern Cloud Financial Management Solutions: Lead engineering initiatives across: Hybrid Cloud FinOps, Public & Private Cloud Cost Management, Kubernetes Cost Optimization, Showback / Chargeback, Cloud Resource Optimization, Budget Planning & Forecasting, AI Infrastructure Cost Management, Consumption Analytics, Financial Governance, Executive Reporting.
Advance Engineering & DevOps Excellence: Partner with platform engineering and DevOps teams to improve engineering productivity through AI-assisted development. Modernize CI/CD pipelines and release automation. Enhance observability, reliability, and platform scalability. Implement DevSecOps and Secure-by-Design practices. Improve software quality and operational efficiency through automation.
Deliver End-to-End ValueOps: Collaborate across Product, Engineering, and Finance to connect strategy with execution by enabling: Strategic Portfolio Management, Investment Planning, Agile Planning, Capacity Planning, Financial Portfolio Management, Engineering Analytics, Value Stream Metrics, Business Outcome Tracking.
Lead High-Performing Engineering Teams: Build, mentor, and develop world-class engineering teams. Foster a culture of technical excellence, innovation, ownership, and continuous learning. Drive Agile execution and engineering best practices across globally distributed teams. Lead cross-functional initiatives involving Product Management, Architecture, DevOps, AI, Finance, and Customer Success.