Value Acceleration Engineer MTS

Salesforce•San Francisco, CA

6d•Hybrid

About The Position

Salesforce is seeking a Value Acceleration Engineer to join their AI Labs team. This role focuses on building Systems Integration Agents that can operate enterprise applications like SAP, Oracle, and Workday, turning that knowledge into reusable, code-backed actions. The team operates like a startup within Salesforce AI Labs, offering autonomy and the resources of Salesforce. The Value Acceleration Engineer will write code, build with customers, and deploy real workflows into production, with learnings from deployments influencing future product development. This is a forward-deployed engineering role on an emerging product.

Requirements

Ability to write and debug JavaScript or TypeScript.
Ability to reason about web applications, APIs, and data flow.
Enjoy working directly with users: asking precise questions, building alongside them, and explaining technical problems clearly.
Experience building working software and ability to explain implementation choices, tests, and debugging.
2+ years of relevant experience.

Nice To Haves

Playwright, browser automation, browser extensions, RPA, or enterprise integration.
Agent systems, tool execution, evaluations, or failure recovery.
Experience with SAP, Oracle, Workday, Salesforce, or similarly complex enterprise applications.
Forward-deployed engineering or customer-facing product development.

Responsibilities

Build Directly With Customers: Work with process owners and customer IT to select workflows, define success, and secure necessary access and data. Conduct hands-on sessions to enable customers to use the product. Help customers understand the product's value, capabilities, limitations, and connect technical results to business outcomes.
Engineer Reliable Automation: Write custom JavaScript tools when existing capabilities are insufficient. Debug failures across browser behavior, agent execution, application state, and backend services. Build tests for business outcomes, exceptions, partial completion, and recovery. Assist in launching and stabilizing workflows, documenting monitoring and recovery procedures, and establishing support ownership.
Make the Next Deployment Easier: Translate deployment lessons into reusable tools and tests, and collaborate with core engineering to address product gaps. Utilize AI development tools responsibly, ensuring code quality, security, and maintainability.
Working With Customers: Expect approximately 40-60% travel for customer discovery, hands-on build sessions, and launches.