Senior Manager, Performance Engineering – Ai Platform (agentforce & Ai Cloud)
Salesforce
Bangalore, India
Ai platform performance
Scalability and cost optimization
Agentic ai systems and llm workflows
Lead performance, scalability, and cost optimization for Agentforce AI and AI Cloud platforms, ensuring enterprise-grade latency, reliability, and cost efficiency
Job Summary
Lead performance, scalability, and cost optimization for Agentforce AI and AI Cloud platforms, ensuring enterprise-grade latency, reliability, and cost efficiency.
Own performance strategy for AI systems, driving architectural improvements and optimizing end-to-end agent workflows across application, infrastructure, and model layers.
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 performance, scalability, and cost optimization for Agentforce AI and AI Cloud platforms, ensuring enterprise-grade latency, reliability, and cost efficiency.
Skills & Requirements
Must-have
AI Platform Performance
Scalability and Cost Optimization
Agentic AI systems and LLM workflows
Performance strategy definition and execution
Benchmarking and optimization of GenAI models
Automation and tooling for performance validation
Cross-functional leadership with Product and Engineering
Nice-to-have
Agentic AI systems expertise
LLM performance metrics understanding
FinOps and cloud cost optimization knowledge
Containerized environments familiarity
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
Proficiency in programming languages such as Python or Java