R&D Engineer Software 5

Reposted One Month Ago
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Broomfield, CO, USA
In-Office
151K-241K Annually
Senior level
Software • Semiconductor • Manufacturing
The Role
Lead engineering teams to build an AI-first ValueOps Financial Intelligence SaaS platform combining Hybrid Cloud FinOps, SPM, engineering analytics, and DevOps. Define roadmaps, deliver AI-powered cost optimization, forecasting, budgeting, and executive insights, partner with product/AI/platform teams, modernize CI/CD and DevSecOps, and drive global team hiring, mentoring, and cross-functional execution.
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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 DoLead 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

Experience in several of the following areas:

  • 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

Within the first 12 months, this leader will:

  • 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 129,400.00 To USD 207,000.00

As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.


Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.


Broadcom is proud to be an equal opportunity employer.  We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law.  We will also consider qualified applicants with arrest and conviction records consistent with local law.


If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

Skills Required

  • 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.
  • Experience with public cloud providers (AWS, Azure, Google Cloud).
  • Experience with Kubernetes and container platforms.
  • Experience in Software Portfolio Management (SPM), Value Stream Management, or Hybrid Cloud Financial Management.
  • Experience with DevOps, platform engineering, CI/CD modernization, and DevSecOps.
  • Familiarity with Generative AI, LLM integration, AI Agents, MCP, RAG, and prompt engineering.
  • Experience with engineering productivity, analytics, and executive dashboards.

Broadcom Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Broadcom and has not been reviewed or approved by Broadcom.

  • Equity Value & Accessibility — Equity is used broadly through RSUs with quarterly or annual vesting, and an ESPP with a discount and look‑back that can add meaningful upside. Company disclosures show ongoing equity grants, including inducement RSUs tied to acquisitions, underscoring equity’s central role in total rewards.
  • Retirement Support — A 401(k) plan with a competitive company match and immediate vesting is consistently highlighted, supporting long‑term savings. Tax‑advantaged accounts like HSA/FSA further strengthen the financial wellness toolkit.
  • Pay Growth & Progression — Compensation ceilings in technical tracks are described as high, with wide ranges and very strong totals for experienced engineers. Sales compensation is also characterized as competitive, supporting attractive on‑target earnings.

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The Company
HQ: Palo Alto, CA
38,985 Employees
Year Founded: 1991

What We Do

Broadcom Inc. (NASDAQ: AVGO) is a global technology leader that designs, develops and supplies semiconductor and infrastructure software solutions.

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