Senior Manager - Software Engineering

Salesforce•San Francisco, CA

19h•$172,500 - $285,800•Remote

About The Position

Salesforce is hiring a remote Senior Manager based in San Francisco to lead the Reliability Engineering team responsible for its multi-cloud compute platform. The team operates Kubernetes, Service Mesh, Ingress Gateway, and Identity services across more than 1,000 clusters on AWS, Alibaba Cloud, and Google Cloud, keeping them secure and highly available. The Senior Manager will lead and develop platform engineers, establish the technical vision and roadmap for Service Mesh and Identity, and maintain a reliable, observable, self-healing platform at fleet scale. The role partners with architects, product owners, and engineering leaders to deliver features and identify issues before they affect customers. It also includes developing the team’s effectiveness in an AI-augmented environment, determining how AI tools fit into daily development, and safeguarding architecture, security, and technical standards as AI-generated code increases.

Requirements

10+ years of software engineering experience.
3+ years managing engineering teams.
Hands-on depth in Kubernetes, service mesh, networking (including DNS, TLS, and HTTP proxies), and a major public cloud.
Hands-on use of AI development tools and technical depth to evaluate the architecture and quality of AI-generated output.
A related technical degree is required.

Nice To Haves

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

Responsibilities

Lead, coach, and grow a team of platform engineers, fostering ownership, accountability, and continuous improvement.
Set the technical vision and roadmap for the next generation of Service Mesh and Identity.
Keep the platform reliable, observable, and self-healing at fleet scale.
Partner with architects, product owners, and engineering leaders to deliver features and identify issues before they affect customers.
Develop engineers’ ability to work in an AI-augmented environment.
Determine how AI tools are incorporated into the team’s daily development cycle.
Maintain architectural integrity, security, and technical standards as AI-generated code increases.
Assess candidates’ ability to write effective prompts, evaluate AI outputs, and orchestrate multi-agent workflows, alongside core technical skills.