Senior Manager – Engineering

Broadcom; Broomfield (CO); On-site; USD 150,800 - 241,200; Full time

Benefits offered by this job

Discretionary annual bonus

Equity grant

Medical, dental, vision

401(k) with match

ESPP

Paid holidays & leave

Job summary

Broadcom seeks a Senior Engineering Manager to lead the ValueOps Financial Intelligence Solution, merging AI, cloud FinOps, and software portfolio management into an intelligent operating model.

You will build and mentor engineering teams delivering AI-powered capabilities, drive cross-functional collaboration with Product, Finance, Cloud Ops, and AI Platform, and define the next generation of ValueOps across the software lifecycle.

Qualifications

• 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.

Responsibilities

• 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, SPM, engineering metrics, and business value realization.
• Lead adoption of Generative AI and Agentic AI across engineering workflows.
• Deliver AI-powered capabilities including capacity forecasting, executive insights, and AI-assisted engineering operations.
• Partner with AI platform teams to leverage LLMs, AI Agents, MCP, RAG, and enterprise knowledge platforms.
• Build Modern Cloud Financial Management Solutions.

Skills

Enterprise SaaS

Cloud-native design

Leadership of managers

Cross-functional initiatives

Agile software development

Executive communication

Influence leaders

Distributed systems

Strategic thinking

Engineering leadership

Job description

Position Overview

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.

What You’ll Do

• 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.
• Lead adoption of Generative AI and Agentic AI across engineering workflows.
• Deliver AI-powered capabilities including:
  • Capacity forecasting
  • 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 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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

Leadership Competencies

• Strategic thinker with strong business and technical acumen.
• Passion for AI-driven engineering transformation.
• Customer-focused with a product mindset.
• Strong financial and analytical skills.
• Influential leader capable of driving alignment across Product, Engineering, Finance, and Operations.
• Excellent communicator with the ability to translate complex technical concepts into business outcomes.
• Proven track record of building inclusive, high-performing engineering organizations.

Success Measures

• Deliver foundational capabilities for the ValueOps Financial Intelligence Solution.
• Accelerate AI adoption across engineering and cloud financial management workflows.
• Improve engineering productivity through AI-assisted development and automation.
• Deliver actionable financial and engineering insights across hybrid cloud environments.
• Increase visibility from strategic investment planning through engineering execution.
• Drive measurable improvements in cloud cost optimization, engineering efficiency, delivery predictability, and customer value realization.

Compensation and Benefits

The annual base salary range for this position is USD 150,800.00 to USD 241,200.00. As a valued member of our team, you will be eligible for a discretionary annual bonus and the opportunity to receive a competitive new hire equity grant, as well as annual equity awards, connecting your success directly to the company's growth. Broadcom offers a comprehensive benefits package including medical, dental, vision plans, 401(k) participation with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation time, and compliance with all applicable Paid Family Leave and other leaves of absence.