AI Native UX Software Engineer

Salesforce

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CAPalo Alto, CAChicago, ILBoston, MABurlington, VT
Salary
$197,300–$313,700 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Oct 12, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $256k
$131k most similar roles pay here $333k

This role pays more than 92% of similar roles. Most pay $161,000–$222,500 — the shaded band above. At the midpoint, this role pays about $256k versus about $192k 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 97 roles with salary data.

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View all roles at Salesforce

At a glance

TL;DR · AI Native UX Software Engineer

AI Native - UX - Software Engineer is a senior engineering role focused on the intersection of distributed systems and information design. You will join a team building control-plane and telemetry surfaces where agents perform tasks and humans provide oversight. Your daily work involves architecting domain models, APIs, and high-density visual interfaces for intent expression, anomaly diagnosis, and human-in-the-loop frameworks. The role requires expertise in distributed architecture, state management, and observability to translate backend complexity into intuitive user experiences. You will utilize core information design principles like hierarchy and progressive disclosure to manage non-deterministic system states. Key skills include full-stack execution, data visualization, and interaction design for agentic systems beyond simple chat flows. The role addresses the challenge of making complex, automated workflows transparent, auditable, and manageable through sophisticated human-agent collaboration tools in an increasingly autonomous environment.

What you'll do

  • Architect and build domain models, APIs, and high-density visual interfaces for agent supervision and anomaly diagnosis.
  • Apply information design principles to make complex, non-deterministic system states understandable for human users.
  • Design interaction loops, feedback mechanisms, and state-reversal tools for automated workflows.
  • Develop human-in-the-loop frameworks that balance automated guardrails with manual oversight based on risk levels.
  • Rapidly prototype new interaction models and translate them into production-grade code to improve system explainability.
  • Translate backend complexities of distributed systems into intuitive, high-trust user interfaces.
  • Design specialized interfaces for agentic execution focusing on delegation, governance, and context-awareness.

What we're looking for

  • Must possess some of the UX skills listed in the posting.
  • Deep understanding of distributed architecture, state management, consistency, asynchronous failure modes, and observability.
  • Strong proficiency in information architecture, interaction design, and data visualization.
  • Ability to work across backend system concepts and craft fine-grained user experiences in code.
  • Expertise designing interfaces for agentic execution including delegation, governance, context-awareness, and trust.
  • Experience building developer platforms, observability systems, control planes, or investigative analytics tools (preferred).
  • Background in human-computer interaction, design systems, or data visualization for enterprise/safety-critical software (preferred).
  • Track record of building tool-using AI models, agent supervision interfaces, or zero-to-one developer tools (preferred).

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