Senior Engineering Manager, AgentExchange Go To Market App

Salesforce•San Francisco, CA

About The Position

Salesforce is seeking a technically strong, collaborative engineering leader to run the software engineering team for the AppExchange Go To Market App. This new platform is transforming AppExchange from a basic listing platform into an integrated, transactable marketplace, helping ISV partners sell and enabling customers to purchase, deploy, and pay for solutions without manual intervention. The product aims to streamline purchasing and billing, scale delivery with less overhead, and support a wider range of pricing models, including consumption-based selling. The role leads technical strategy and architecture while maintaining a focus on quality, long-term stability, and scalability. The engineering manager works with Product Owners and cross-functional stakeholders to align delivery with product priorities, communicates execution risks, and develops engineering talent through technical guidance, career development, hiring, and team empowerment. The manager may also contribute directly to technical work when needed.

Requirements

10+ years of progressive engineering experience.
3+ years directly managing and mentoring high-performing software engineering teams.
Deep technical background in scalable, highly available platform development, with a focus on Java/JVM languages and modern cloud architecture.
Experience leading teams and/or hands-on work with AWS, Azure, or GCP, along with Kubernetes and Terraform.
Proven track record building reliable, self-healing services with robust automation and end-to-end service ownership.

Nice To Haves

Experience leading complex programs and managing cross-functional stakeholders in a highly matrixed organization.
Experience driving strategy around and actively using open-source technologies.
Strong foundation in Agile/Scrum methodologies, with an emphasis on secure coding practices and code quality.
Hands-on proficiency with AI development tools and sufficient 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 resolve systemic issues, and make 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 engineering talent by providing technical guidance and career development, empowering teams to self-coordinate, and participating in hiring.
Contribute directly to technical work when needed.