Senior Lead Software Engineer, Developer Productivity (AI Tooling)

Salesforce

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$148,500–$260,100 / yr
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k
This role $204k
$128k most similar roles pay here $274k

This role pays more than 62% of similar roles. Most pay $165,450–$222,125 — the shaded band above. At the midpoint, this role pays about $204k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 106 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 98 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Developer Productivity (AI Tooling)

Senior/Lead Software Engineer, Developer Productivity (AI Tooling) joins the AI Solutions team to build internal products and platforms that enable engineers to adopt AI-assisted development safely and effectively. This role involves designing and owning full-stack capabilities across desktop applications, backend services, data pipelines, dashboards, and developer-facing integrations. You will translate ambiguous requirements into technical specifications, manage telemetry and SLIs, and develop backend APIs and ingestion flows. The work focuses on the specific domain of AI developer productivity, creating tools that connect AI usage to measurable outcomes for internal engineering teams. Required skills include full-stack development expertise, advanced prompt engineering, and experience with tools like Claude Code, GitHub Copilot, or Cursor. Preferred technologies include React, TypeScript, Go, Kubernetes, and various integration patterns to ensure AI agents integrate seamlessly into human workflows.

What you'll do

  • Lead the technical design and delivery of full-stack products across desktop applications, backend services, and data pipelines.
  • Build backend APIs, data models, and ingestion flows that connect AI tool usage to measurable outcomes.
  • Translate ambiguous requirements into detailed design specifications, test strategies, and incremental delivery plans.
  • Establish operational standards by defining telemetry, SLIs, SLOs, and incident response playbooks for managed systems.
  • Develop production-grade software using an AI-first approach to ensure secure and optimized code quality.
  • Design complex systems where AI agents integrate into human workflows to drive efficiency at scale.
  • Curate shared system context including designs, constraints, and standards to help both engineers and AI agents operate reliably.
  • Improve team technical quality through design reviews, coaching, and mentoring of other engineers.

What we're looking for

  • A related technical degree is required.
  • 6+ years of experience designing and building production software, including full-stack applications, backend services, or internal platforms.
  • Strong programming skills across frontend, backend, APIs, data stores, and distributed system boundaries.
  • Experience translating ambiguous requirements into design specifications, test strategies, and delivery plans.
  • Demonstrated AI-first approach to engineering using tools like Claude Code, GitHub Copilot, Codex, or Cursor.
  • Advanced prompt engineering skills to create precise, structured prompts for reliable and secure AI outputs.
  • Ability to communicate technical designs clearly to engineers, product partners, and leadership while making sound trade-offs.
  • Experience with React, TypeScript, Go, service APIs, event pipelines, or Kubernetes-based services is preferred.

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