Value Acceleration Engineer, Salesforce

• You can write and debug JavaScript or TypeScript and reason about web applications, APIs, and data flow
• You enjoy working directly with users: asking precise questions, building alongside them, and explaining technical problems clearly
• You’ve built working software and can explain your implementation choices, tests, and debugging
• 2+ years of relevant experience

Desirable

• AI agents can reason about what needs to happen
• Getting them to reliably do work inside the software businesses actually run on is the next frontier
• We’re building Systems Integration Agent: computer use for the enterprise
• It learns how to operate applications like SAP, Oracle, and Workday, then turns that knowledge into reusable, code-backed actions
• The challenge goes beyond making an impressive demo: customers need automation they can trust with consequential business processes
• Our team operates as a small startup within Salesforce AI Labs, separate from the main engineering and product organizations
• You’ll work directly with the team’s leader and engineers, alongside customers, with the autonomy to shape an early product and the resources of Salesforce to back you up
• As a Value Acceleration Engineer, you’ll write code, build alongside customers, and get real workflows into production
• This is forward-deployed engineering on an emerging product: what you learn in deployments will help determine what we build next
• Build Directly With Customers:
• Work with process owners and customer IT 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 themselves, with clear scope and readiness expectations
• Help customers understand where the product can deliver value, explain its capabilities and limitations clearly, and connect technical results to business outcomes
• Engineer Reliable Automation:
• Write custom JavaScript tools when existing capabilities cannot complete a task
• Debug failures across browser behavior, agent execution, application state, and backend services
• Build tests for business outcomes, exceptions, partial completion, and recovery
• Help launch and stabilize workflows, documenting monitoring and recovery procedures and establishing support ownership with the team
• Make the Next Deployment Easier:
• 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
• Working With Customers:
• Expect approximately 40–60% travel, typically several days onsite at a time, for customer discovery, hands-on build sessions, and launches