Software Engineering SMTS

SalesforceSan Francisco, CA
$148,500 - $246,000Hybrid

About The Position

Salesforce is seeking a Software Engineering SMTS to join their AI Labs team. This role involves bringing computer-use AI into production, focusing on building a product that learns from human demonstrations to automate complex workflows across enterprise applications. The primary responsibility will be reliable browser automation, with opportunities to work across the full stack to make these capabilities usable and diagnosable by customers. The team collaborates directly with customers, and the role will own capabilities from initial design through production use, shaping the product's accomplishments through browser expertise.

Requirements

  • Independently owned a significant web capability or system through design, deployment, production failures, and subsequent improvements.
  • Strong JavaScript or TypeScript skills and a deep understanding of the DOM, browser events, network behavior, and asynchronous execution.
  • Experience building browser automation with Playwright or comparable tools.
  • Ability to trace difficult failures across browser behavior, frontend state, and backend services.
  • Ability to design tests that distinguish reliable behavior from something that happened to work once.
  • Desire to work directly with customers, investigate unfamiliar applications, and turn what you learn into product improvements.
  • Thoughtful use of AI development tools and responsibility for the correctness, security, and maintainability of shipped code.

Nice To Haves

  • Browser extensions, accessibility trees, resilient element targeting, or recording and replay systems.
  • LLM-powered applications or computer-use agents.
  • Building an early-stage product or working in a customer-facing engineering role.

Responsibilities

  • Drive Browser Automation & Architecture: Build browser-extension capabilities that capture user interactions and the context needed to reproduce workflows reliably.
  • Develop automation for complex applications, including dynamic pages, nested frames, custom controls, and asynchronous state changes.
  • Improve how agents understand page structure, identify controls, execute actions, and recover when interfaces change.
  • Create debugging and replay tools that make automation failures easier to understand and resolve.
  • Extend the product experience so customers can record workflows, monitor execution, and inspect results.
  • Build Directly With Customers: Observe how customers use their applications and identify the interactions and state changes automation needs to capture.
  • Investigate failures in customer environments, tracing problems through browser behavior, application state, and execution services.
  • Turn application-specific discoveries into reusable recording, targeting, and recovery capabilities.
  • Help customers record and troubleshoot workflows independently, using their experience to improve the product.
  • Shape Technical Direction & Grow the Team: Own architectural decisions for browser recording and execution, including recording fidelity, element targeting, and browser state.
  • Partner with AI engineers to define the observations and actions agents need to operate applications reliably.
  • Mentor peers through design discussions and code reviews, and participate in hiring.

Benefits

  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
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