> Markdown version of [/jobs/ext/3762624-software-engineering-lmts](https://www.wearedevelopers.com/jobs/ext/3762624-software-engineering-lmts). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering LMTS - **Company:** Salesforce Inc. - **Location:** San Francisco, CA, United States - **Salary:** $172,500.0 - $260,100.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software as a Service, Data Integrity, Relational Databases, Software Debugging, PostgreSQL, Automation of Marketing, Routing, OAuth, Security Assertion Markup Language (SAML), Software Engineering, Software Technical Review, Web Application Frameworks, ReactJS, Large Language Models, Backend, Production Code, Enterprise Integration, Webhooks - **Published:** October 15, 2026 - **Apply:** https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/California---San-Francisco/Software-Engineering-LMTS_JR363394 ## About the Role * A track record of independently delivering complex SaaS capabilities from design through launch and ongoing operation * Strong full-stack skills, with particular depth in backend systems, APIs, relational data models, and background processing * Experience building or operating integrations with complex third-party platforms * Sound technical judgment around reliability, data integrity, security, and incremental system evolution * Excellent debugging skills across application, integration, and data boundaries * Demonstrated technical leadership: you influence architecture and execution beyond your immediate workstream * Comfortable operating in ambiguity and driving clarity: you can frame problems, propose solutions, and align others * Product-minded: you care about UX and customer outcomes, not just implementation * Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Nice to Have * Experience with CRM, marketing automation, scheduling, routing, enrichment, or workflow products * Familiarity with OAuth, webhooks, synchronization pipelines, rate-limited APIs, or eventual consistency * Experience with enterprise identity systems such as SSO, SAML, or SCIM * Experience building production AI or LLM applications, agent tooling, or explainability features ## Description Product Core builds the foundational product systems everything depends on: identifying prospects, scheduling and routing meetings, synchronizing data with calendars and go-to-market platforms, executing workflows, and supporting enterprise authentication. We also enable customers and partners to extend the product through public APIs, webhooks, and custom integrations. These capabilities power critical parts of the customer journey and have a meaningful impact on conversion, revenue, and customer trust. The team also builds the data, context, and execution capabilities behind our agentic product experiences, including meeting preparation, routing investigation, and product explainability. As an engineer on Product Core, you'll operate as a technical leader: leading complex initiatives from early design through production, shaping architecture, writing substantial production code, influencing technical direction, and helping other engineers do their best work. What You'll Do * Lead complex product initiatives from an ambiguous problem through technical design, implementation, launch, and ongoing ownership * Build reliable meeting-booking, calendaring, routing, and workflow experiences that directly affect customer conversion and revenue * Build and evolve integrations with CRM, marketing automation, sales engagement, collaboration, calendaring, and data-enrichment platforms * Build intuitive public APIs and reliable webhooks that let customers and partners extend the product * Design for the realities of third-party systems: API limits, OAuth credentials, inconsistent data, retries, synchronization, and partial failures * Advance AI-assisted capabilities such as meeting preparation, routing investigation, and explanations of product behavior * Improve the scalability, observability, security, and supportability of critical production systems, and own difficult customer issues to their root cause * Raise the engineering bar through technical leadership, design and code reviews, and mentorship