Software Engineering Architect, DevXP AI team

Salesforce

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$218,400–$365,200 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $292k
$110k $393k
below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $142,400–$213,250 — the blue band above. At the midpoint, this role pays about $292k versus about $178k 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 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Software Engineering Architect, DevXP AI team

JOB TITLE: Software Engineering Architect - DevXP AI team The Software Engineering Architect - DevXP AI team leads the technical vision for Agentic SDLC solutions at Slack. This role involves defining long-term roadmaps, architecting globally optimal solutions across multiple codebases, and building hands-on prototypes to accelerate software development. You will manage AI tooling from end-to-end, including distribution, monitoring, evaluation, and cost management, while developing internal tools like AI code review agents. The position requires deep expertise in AI development frameworks such as Claude Code, Cursor, LangChain, and LangGraph, alongside advanced systems design skills in AWS cloud infrastructure. You must navigate extreme technical ambiguity to drive systemic change, ensuring high availability and enterprise-grade security while tracking developer productivity metrics to improve the overall engineering lifecycle and internal developer experience.

What you'll do

  • Define the long-term technical roadmap for Agentic SDLC solutions.
  • Architect scalable, globally optimal solutions for multiple systems and codebases.
  • Lead cross-boundary conversations to drive systemic architectural changes.
  • Build hands-on prototypes to validate long-term technical and product strategies.
  • Manage the end-to-end lifecycle of AI tooling, including distribution, monitoring, and cost management.
  • Partner with product and engineering managers to navigate complex strategy and team allocation tradeoffs.
  • Establish a culture of prototyping and experimentation within engineering teams.
  • Distill technical ambiguity into actionable strategies for engineering and business stakeholders.

What we're looking for

  • 10–15+ years of software engineering experience with a track record of impact at the staff, senior staff, or principal level.
  • Deep expertise in AI development tools and frameworks such as Claude Code, Cursor, LangChain, and LangGraph.
  • Advanced systems design and architecture skills to navigate complex codebases and guide teams toward globally optimal decisions.
  • Expertise in AWS cloud infrastructure, specifically designing for high availability, enterprise-grade security, and massive scale.
  • Deep familiarity with developer productivity metrics tracking, evaluation, and large-scale systemic improvement.
  • Exceptional cross-functional leadership and communication skills to distill technical ambiguity into actionable strategies.
  • A related technical degree required.
  • Experience using Slack and a keen interest in improving the platform (preferred).
  • Specific leadership experience in Developer Experience, Platform engineering, or internal developer tooling (preferred).

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