Senior Manager, Performance Engineering – Ai Platform (agentforce & Ai Cloud)
San Francisco Job Board
Bangalore, India
Ai platform performance
Agentforce ai
Ai cloud platforms
The AI Platform Performance, Scale & Cost-to-Serve (CTS) team is seeking a Senior Manager, Performance Engineering to lead performance, scalability, and cost optimization for Agentforce AI and AI Cloud platforms
Job Summary
The AI Platform Performance, Scale & Cost-to-Serve (CTS) team is seeking a Senior Manager, Performance Engineering to lead performance, scalability, and cost optimization for Agentforce AI and AI Cloud platforms.
In this role, you will define and execute the end-to-end performance strategy across agentic AI systems, LLM workflows, and multi-model ecosystems, ensuring enterprise-grade latency, scalability, reliability, and cost efficiency.
Join a highly technical and collaborative team at the forefront of Agentic AI innovation.
Matching Summary
The AI Platform Performance, Scale & Cost-to-Serve (CTS) team is seeking a Senior Manager, Performance Engineering to lead performance, scalability, and cost optimization for Agentforce AI and AI Cloud platforms.
Skills & Requirements
Must-have
AI Platform Performance
Agentforce AI
AI Cloud platforms
LLM workflows
multi-model ecosystems
performance strategy
benchmarking, optimization, CTS/TCO modeling
capacity engineering
performance automation frameworks
observability across distributed systems
Nice-to-have
leading workforce transformation
GenAI initiatives
trust models (toxicity, PII)
operational excellence
end-to-end agent workflows
GPU utilization
inference pipelines
production telemetry
controlled experiments
continuous performance validation
cross-functional leadership
Key Requirements
Bachelor’s or Master’s degree
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