Forward Deployment Engineer LMTS

Salesforce•San Francisco, CA

2d•$172,500 - $285,800

About The Position

Salesforce is hiring a Forward Deployment Engineer for its Systems Integration Agent team within Salesforce AI Labs. The team is developing an enterprise computer-use product that learns to operate applications such as SAP, Oracle, and Workday and turns that knowledge into reusable, code-backed actions. The role combines software engineering and customer-facing deployment work, with the goal of bringing reliable automation for consequential business processes into production. The engineer will work closely with customers and the team’s leader and engineers, with autonomy to shape an early product and support from Salesforce. The engineer will work with customer process owners and IT teams to select workflows, define success criteria, and obtain the test access and data needed to build. They will lead practical sessions that help customers use the product, communicate its capabilities and limitations, and connect technical results to business outcomes. They will write custom JavaScript tools, debug failures across browser behavior, agent execution, application state, and backend services, and develop tests for business outcomes, exceptions, partial completion, and recovery. They will also help launch and stabilize workflows, document monitoring and recovery procedures, and establish support ownership. Deployment learnings will be used to develop reusable tools and tests and to work with core engineering on recurring product gaps. The role involves approximately 40–60% travel, typically several days onsite at a time, for customer discovery, hands-on build sessions, and launches. The job posting lists a typical annual base salary range of $172,500–$260,100, with a range of $207,800–$285,800 in select San Francisco and New York City metropolitan area cities; these ranges exclude bonus, equity, and benefits.

Requirements

8+ years of relevant experience.
Ability to write and debug JavaScript or TypeScript and reason about web applications, APIs, and data flow.
Enjoys working directly with users, asking precise questions, building alongside them, and explaining technical problems clearly.
Experience leading complex customer-facing deployments and building tools or practices that improve outcomes beyond individual projects.

Nice To Haves

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

Responsibilities

Work with customer process owners and IT teams to select workflows, define success, and secure the test access and data needed to build.
Run hands-on sessions that help customers use the product, with clear scope and readiness expectations.
Explain product capabilities and limitations and connect technical results to business outcomes.
Write custom JavaScript tools when existing capabilities cannot complete a task.
Debug failures involving browser behavior, agent execution, application state, and backend services.
Build tests for business outcomes, exceptions, partial completion, and recovery.
Help launch and stabilize workflows; document monitoring and recovery procedures and establish support ownership with the team.
Turn deployment lessons into reusable tools and tests, and work with core engineering to address recurring product gaps.
Use AI development tools thoughtfully while remaining accountable for code quality, security, and maintainability.
Travel approximately 40–60% of the time, typically for several days onsite, for customer discovery, hands-on build sessions, and launches.
Align stakeholders on when to extend the product, narrow scope, or stop an unsafe rollout.