Lead Software Engineer, AI Tooling & Developer Productivity

Relha LLC

San Francisco, Northern (CA, KY)

Hybrid

USD 149,000 - 260,000

Full time

7 days ago
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Job summary

Salesforce is seeking a Senior/Lead Software Engineer for Developer Productivity (AI Tooling). You will design and build full‑stack features across DevBar, AI metrics, attribution, limits, and developer intelligence surfaces.

You’ll implement backend APIs, data models, and dashboards that connect AI tool usage to outcomes across teams. You will own production quality, collaborate across teams, and push the boundaries of AI tools to deliver secure, high‑quality code that improves developer

Qualifications

  • 6+ years of production software design and build experience.
  • ],

Responsibilities

  • Design and ship full-stack features across AI Solutions products, including DevBar and AI metrics.
  • 1
  • Build backend APIs, data models, ingestion flows, dashboards, and UX for AI tool usage.
  • 2
  • Lead technical design for integrations with AI coding tools and internal platforms.
  • 3
  • Own production reliability, observability, performance, and supportability.
  • 4
  • Develop high-quality, production-grade software with AI at the core.
  • 5
  • Architect complex systems where AI agents integrate with human workflows.
  • 6
  • Contribute to shared system context for AI reliability and standards.
  • 7
  • Critically evaluate code (human or AI-generated) for correctness and security.
  • 8
  • Explain tradeoffs, drive alignment, and mentor engineers across teams.
  • 9

Skills

Full-stack development
Backend services
AI tooling integration
React
TypeScript
Go

Education

Related technical degree

Tools

Claude Code
GitHub Copilot
Codex
Cursor

Job description

Salesforce is seeking a Senior/Lead Software Engineer for Developer Productivity (AI Tooling). You will design and build full‑stack features across DevBar, AI metrics, attribution, limits, and developer intelligence surfaces.

You’ll implement backend APIs, data models, and dashboards that connect AI tool usage to outcomes across teams. You will own production quality, collaborate across teams, and push the boundaries of AI tools to deliver secure, high‑quality code that improves developer

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