Senior Manager, Performance Engineering – Ai Platform (agentforce & Ai Cloud)
Salesforce
Bangalore, India
Ai platform performance
Scalability and cost optimization
Agentic ai systems
Lead, mentor, and grow a team of performance engineers and SREs, defining team vision, roadmap, and execution aligned with AI Platform strategy
Job Summary
Lead, mentor, and grow a team of performance engineers and SREs, defining team vision, roadmap, and execution aligned with AI Platform strategy.
Own performance strategy for Agentforce AI systems, ensuring scalability for millions of transactions with low latency and high availability.
Partner with Product, Engineering, Infrastructure, Data Science, and FinOps teams to influence architecture decisions and translate business goals into actionable performance and cost strategies.
Matching Summary
Lead, mentor, and grow a team of performance engineers and SREs, defining team vision, roadmap, and execution aligned with AI Platform strategy.
Skills & Requirements
Must-have
AI Platform Performance
Scalability and Cost Optimization
Agentic AI systems
LLM workflows
Performance strategy
Benchmarking and Optimization
Automation and Tooling
Nice-to-have
AI Cloud platforms
Enterprise-grade latency
Cost-to-Serve (CTS) modeling
Capacity engineering
GenAI initiatives
Trust models
Global footprint
Key Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field
10+ years of experience in software or performance engineering
5+ years of experience leading high-performing engineering teams
Strong experience with large-scale distributed systems and cloud platforms
Hands-on experience in performance testing, benchmarking, and optimization
Experience with AI/LLM systems, GPU workloads, or ML infrastructure
Proficiency in programming languages such as Python or Java
Experience with CI/CD, microservices architectures, and observability systems
Strong analytical skills
Excellent communication and cross-functional leadership skills