LandOffer
Senior/Lead Software Engineer, Developer Productivity (AI Tooling)
Spotted 58d agoFull-time
Job details
- Employment
- Full-time
- Level
- Staff / principal
- Experience
- 6+ years
- Posted
- Aug 26, 2026
- Last confirmed open
- Oct 23, 2026
What you'll need to apply
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Company-specific questions
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- Government Employment: In the last 5 years, have you been an employee of a U.S. federal, state, or local government, including a "special Government employee" (defined under 18 U.S.C. §202), or a member of the U.S. Armed Services (including Reserve and Guard components)?
- I attest/confirm that I have no post-government employment restrictions currently applicable to me that have not already been addressed or disclosed in the previous questions, OR that if I am aware of any applicable restrictions, I will disclose them to the recruiter if contacted for further processing of my application. If I received written advice from my current or former government employer about work restrictions that are still active, I will provide it to the recruiter if contacted for further processing of my application.
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Job description
About this role
The Experience
The AI Solutions team in Technology & Product builds internal products and platforms that help Salesforce engineers adopt AI-assisted development safely, effectively, and measurably. Our work spans developer experiences, AI usage and outcome intelligence, governance, telemetry, and integrations with coding tools and engineering systems.
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
- Lead the technical design and delivery of complex, cross-cutting capabilities across internal developer-productivity products, spanning 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 outcomes engineers and leaders can act on.
- Set technical direction for a product or platform area, translating 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.
- Define and raise the operational bar across the systems you lead by establishing telemetry, SLIs and SLOs, controlled rollout strategies, playbooks, and long-term ownership practices; lead incident investigation and root-cause analysis when needed.
- 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.
- Establish and curate the shared system context - designs, constraints, standards, operational knowledge, and decision records - that helps both 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.
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.
- 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, 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 degree is required.
Even Better If...
- 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 ways that are measurable, trustworthy, and scalable.
Interested in this role?Continue on Salesforce's careers page.
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