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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering MTS - **Company:** Salesforce Inc. - **Location:** San Francisco, CA, United States - **Salary:** $117,200.0 - $176,700.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Web Accessibility, Artificial Intelligence, Encodings, Cursor, Web Development, Salesforce.Com, Screen Reader, Selenium, Software Engineering, TypeScript, Web Content Accessibility Guidelines, ReactJS, Large Language Models, Claude Code, Vue.js, LangSmith, Claude, Virtual Agents, Software Coding - **Published:** October 2, 2026 - **Apply:** https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/California---San-Francisco/Software-Engineering-MTS_JR355941 ## About the Role * Strong software engineering fundamentals and a track record of shipping (years of experience scale by level - AMTS early-career through SMTS senior). * Proficiency in JavaScript/TypeScript and modern web development; familiarity with at least one component framework (LWC, Aura, React, Vue, etc.). * A quality mindset: you reach for tests, metrics, and evaluation to prove something works - you don't ship on assumptions alone. * Clear written and verbal communication; you can explain a technical tradeoff to engineers and to non-experts., * Hands-on experience with AI/LLM-assisted development - building agents, tools, MCP integrations, prompts, or evals (LangSmith or similar eval tooling a plus). * Working knowledge of web accessibility - WCAG 2.2, ARIA, screen readers, keyboard navigation, focus management, color contrast. * Familiarity with the Salesforce UI ecosystem (LWC, Aura, Base Components) and testing frameworks (Jest, Selenium/functional tests). * Experience with developer-tooling adoption, telemetry, or metrics-driven product work. ## Description * Creating products that increase developer productivity - turning accessibility from a manual, after-the-fact audit into an automated, in-loop part of writing code. * Guiding the company's web development efforts as the WCAG lead - ensuring compliance with accessibility guidelines and best practices across Salesforce's UI. * Owning the full detect * diagnose * fix * verify loop: we don't stop at finding violations. We generate the fix, prove it holds on the rendered page, and drive it to a merged pull request. * Ensuring AI solutions for accessibility are grounded in WCAG and internal standards - and heavily evaluated so that every suggestion the agent makes is trustworthy and high-performing. What You'll Build * Well-evaluated AI fix tools - the Jest remediation tool, the functional-test (ftest) remediation tool, and the accessibility-guide tool that let developers request and receive accessible code suggestions based on the work in front of them. * The agent's knowledge base - accessibility (a11y) best practices, remediation patterns, and Salesforce engineering standards that ground every suggestion in real WCAG success criteria. * The evaluation system - the eval dataset and reviewer set (Aura + LWC) that prove, per WCAG criterion, that our AI performs before we ship it. If it isn't measured, it doesn't go out. * The shared platform capabilities: component identification (mapping a rendered finding back to the exact component and source file it came from) and verification (confirming a semantic fix actually holds on the rendered accessibility tree). * Detection for the dark corners of WCAG: first-ever automated coverage for categories like reflow (1.4.10) and focus management (2.4.3, 2.4.7) that no static check can reach. * Packaging and adoption - getting the agent into the surfaces developers live in (AI Suite, DX MCP, Cursor, Claude Code, Vibes) and driving real usage, backed by the Iron metrics dashboard. What You'll Do Build and evaluate AI-powered accessibility tools * Develop fix tools and agent skills that generate, validate, and repair accessible code across Aura and LWC. * Design and expand the eval dataset and reviewer set so we can prove correctness per WCAG criterion - not just anecdotally, but with hard numbers. * Treat evaluation as a first-class deliverable: no AI capability ships without a measured, defensible quality bar. Ground the work in real accessibility standards * Encode WCAG success criteria and Salesforce internal standards into the agent's knowledge so suggestions are correct by construction. * Expand per-criterion coverage and grow the reviewer set to close the gap between what tools can detect and what they can fix., * Massive leverage. Ship a tool once; every UI engineer at Salesforce gets more accessible code by default. * AI at the center, not bolted on. You'll work with agents, evals, and Claude-based surfaces as your primary toolkit - and rigorously prove they perform. * Company-wide voice. As the WCAG lead, this team's standards shape web development across Salesforce. Tech Stack JavaScript, TypeScript, LWC & Aura, Jest, Selenium/functional tests, WCAG 2.2 / ARIA, AI agent & eval tooling (Claude, MCP, Cursor, LangSmith), AI Suite, DX MCP.