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# Senior Manager - Software Engineering

- **Company:** Salesforce Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $172,500.0 - $260,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Generation, Computer Programming, Domain Name System (DNS), Elasticsearch, Industry Standard Architecture, Python (Programming Language), Open Source Technology, Prometheus, Software Engineering, Istio, Retrieval-Augmented Generation, Grafana, Multi-Agent Systems, Kubernetes, Terraform, Splunk
- **Published:** October 16, 2026
- **Apply:** https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/California---San-Francisco/Senior-Manager---Software-Engineering_JR363285

## About the Role

* You have 10+ years of software engineering experience, including 3+ years managing engineering teams, with hands-on depth in Kubernetes, service mesh, networking (DNS, TLS, HTTP proxies), and a major public cloud.
 * You use AI development tools hands-on, and you have the technical depth to judge the architecture and quality of AI-generated output.
 * You assess candidates on their ability to write effective prompts, evaluate AI outputs, and orchestrate multi-agent workflows, in addition to core technical skills.
 * A related technical degree required.

Even Better If:

 * You have programming experience in Go or Python.
 * You have used infrastructure-as-code and delivery tools such as Terraform and Argo.
 * You have used observability tools such as Prometheus, Grafana, Splunk, or Elasticsearch.
 * You have experience building AI multi-agent or retrieval-augmented generation systems, or leading open-source contribution strategy.

## Description

* Lead, coach, and grow a team of platform engineers, building a culture of ownership, accountability, and continuous improvement.
 * Set the technical vision and roadmap for the next generation of Service Mesh and Identity, and keep the platform reliable, observable, and self-healing at fleet scale.
 * Partner with architects, product owners, and engineering leaders to deliver features and spot issues before they affect customers.
 * Develop each engineer's ability to work in an AI-augmented environment, own how AI tools fit into the team's daily development cycle, and guard architectural integrity, security, and technical standards as AI-generated code increases.