Senior Manager – Engineering

About this role

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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 Do 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 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 150,800.00 To USD 241,200.00

As a valued member o

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