Senior Engineering Manager, AgentExchange Go To Market App

Salesforce•San Francisco, CA

3d•Hybrid

About The Position

Salesforce is looking for a technically strong, energetic, and collaborative engineering leader to run the software engineering team for the AgentExchange Go To Market App. This is a new platform transforming Salesforce's AgentExchange (also known as AppExchange) from a basic listing platform into a fully integrated, transactable marketplace — accelerating ISV sales and recovering lost revenue by giving partners a seamless way to sell and customers an easy way to purchase, deploy, and pay for solutions, all without manual intervention. You'll help build a product that's streamlined (a cohesive purchasing and billing experience with fewer manual touchpoints), scalable (faster time to market with reduced overhead), and flexible (supporting a wider range of pricing models, including consumption-based selling). You'll lead outstanding developers with quality top of mind, in an environment built on open communication, feedback, and continuous learning.

Requirements

10+ years of progressive engineering experience, including 3+ years directly managing and mentoring high-performing software engineering teams
A deep technical background in scalable, highly available platform development, with a focus on Java/Java Virtual Machine (JVM) languages and modern cloud architecture
Experience leading teams and/or hands-on work with a major public cloud platform — Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP) — along with Kubernetes and Infrastructure-as-Code (Terraform)
A proven track record building reliable, self-healing services with robust automation and end-to-end service ownership

Nice To Haves

Led complex programs and managed cross-functional stakeholders in a highly matrixed organization
Driven strategy around and actively used open-source technologies
A strong foundation in Agile/Scrum methodologies, with an emphasis on secure coding practices and code quality
Hands-on proficiency with AI development tools, with enough technical depth to evaluate architectural integrity and AI-generated output
Experience assessing candidates' ability to formulate effective prompts, evaluate AI outputs, and orchestrate multi-agent workflows

Responsibilities

Lead architecture discussions and technical strategy, proactively resolving systemic issues and making data-driven decisions that support long-term product stability and scalability
Partner with Product Owners and cross-functional stakeholders to align engineering with product priorities, coordinate delivery, and communicate execution risks
Mentor and grow your engineering talent — providing technical guidance and career development, empowering teams to self-coordinate, and actively participating in hiring
Stay hands-on with technical work when needed, contributing directly to keep your skills sharp and support the team