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Salesforce

Builds cloud software for customer relationships

Senior/Lead Software Engineer - Developer Productivity, AI Tooling

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 6 years of experience designing and building production software, including full-stack applications, backend services, developer tools, or internal platforms.
  • Strong programming skills and experience working across frontend, backend, APIs, data stores, and distributed system boundaries.
  • Experience taking ambiguous product or platform requirements from design through implementation, testing, rollout, and production ownership.
  • Ability to explain initiatives and designs clearly to engineers, product partners, and engineering leadership; make sound technical tradeoffs; influence stakeholders; and lead complex work across teams.
  • A demonstrated AI-first approach to engineering, using AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor to move faster, build fluency across the stack, and contribute beyond one’s core specialty.
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate system context that makes AI outputs reliable, secure, and production-ready.
  • A related technical degree is required.

Responsibilities

  • Lead the technical design and delivery of complex, cross-cutting capabilities across internal developer-productivity products, including desktop experiences, backend services, data and analytics platforms, governance workflows, and integrations with AI coding tools and engineering systems.
  • Build backend APIs, data models, ingestion flows, dashboards, and user experiences that connect AI tool usage to actionable outcomes for engineers and leaders.
  • Set technical direction for a product or platform area; translate ambiguous requirements into design specifications, test strategies, and incremental delivery plans; partner with product and engineering stakeholders to shape medium-term priorities and validate feasibility.
  • Establish telemetry, service-level indicators and objectives, controlled rollout strategies, playbooks, and long-term ownership practices; lead incident investigation and root-cause analysis as needed.
  • Build and ship high-quality, production-grade software using modern engineering practices and AI development tools to deliver secure, optimized, high-quality code.
  • Design and orchestrate complex systems in which AI agents integrate into human workflows.
  • Establish and curate shared system context, including designs, constraints, standards, operational knowledge, and decision records, to help engineers and AI agents operate accurately and reliably.
  • Raise the team’s technical quality through design and code reviews, coaching, pairing, and clear definitions of done; delegate appropriately while remaining accountable for the overall technical outcome.

Desired Qualifications

  • Experience building developer tools, AI coding tool integrations, internal platforms, telemetry systems, or enterprise desktop applications.
  • Familiarity with React, TypeScript, Go, service APIs, event pipelines, analytics systems, or cloud- and Kubernetes-based services.
  • Experience building self-service experiences, dashboards, plugin systems, command-line tools, or standard integration patterns for engineering teams.
  • Interest in AI developer productivity and helping engineering teams adopt AI tools in measurable, trustworthy, and scalable ways.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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