Senior/Lead Software Engineer, Developer Productivity (AI Tooling)

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience The AI Solutions team in Technology & Product builds the products and platforms that help Salesforce engineers use AI coding tools safely, effectively, and measurably. Our work spans DevBar, AI usage telemetry, code attribution, budget governance, developer intelligence, and the integrations that make AI tools easier to adopt at Salesforce scale. As a Lead Member of Technical Staff, you will design, build, and own full-stack product and platform capabilities across desktop applications, backend services, data pipelines, dashboards, and developer-facing integrations. You will help turn fast-moving AI developer productivity ideas into reliable software that thousands of Salesforce engineers can use every day. What You'll Actually Be Doing Design and ship full-stack features across AI Solutions products, including DevBar, AI metrics, AI attribution, Limits, and related developer intelligence surfaces. Build backend APIs, data models, ingestion flows, dashboards, and user experiences that connect AI tool usage to outcomes engineers and leaders can act on. Lead technical design for integrations with AI coding tools and internal platforms, turning ambiguous requirements into maintainable, scalable software. Own what you build in production by improving observability, reliability, performance, and supportability as part of the software development lifecycle. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance. You're Our Person If... 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.  (At least 2 of the following: Java, Python, Rust, C++, Javascript/Typescript) Experience taking ambiguous product or platform requirements from design through implementation, testing, rollout, and production ownership. Ability to communicate clearly with engineers and partners, make sound technical tradeoffs, and lead complex work across teams. A demonstrated, genuine AI-first approach to engineering — using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) to move faster, build fluency across the stack, and contribute well beyond your core specialty. Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. A related technical