AI Native - UX - Software Engineer

Salesforce•Burlington, MA

3d•$197,300 - $344,700•Remote

About The Position

Salesforce is seeking a senior engineer for a unique systems-to-interface role. This position requires a deep understanding of data-intensive and distributed systems, combined with a strong motivation for information design, visualization, and user experience (UX). The successful candidate will be responsible for control-plane and telemetry experiences in an environment where AI agents perform tasks and humans need to understand, engage with, and make judgments about the system's actions. This is a hands-on role for an individual with a clear perspective on agent versus human interaction, human-in-the-loop design, auditability, and making complex system behavior transparent. The role involves reasoning about complex backend systems and translating that complexity into intuitive, high-trust human interfaces. In an agentic world, control planes are evolving from rigid workflows to intent-driven supervision. This role requires an engineer with exceptional information and interaction design skills to redefine how humans direct, govern, observe, and intervene in AI-agent activities.

Requirements

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 (events, policies, lineages) and craft fine-grained user experiences in code.
Expertise designing interfaces for agentic execution beyond simple chat/copilot flows (focusing on delegation, governance, context-awareness, and trust).
Mastery of friction vs. fluidity—knowing precisely when to insert a confirmation step, how to show system causality, and how to represent uncertainty clearly.
Familiarity with design thinkers like Edward Tufte, Bret Victor, Tamara Munzner, or Ben Shneiderman.

Nice To Haves

Experience building developer platforms, observability systems, control planes, or investigative analytics tools.
Background in human-computer interaction (HCI), design systems, or data visualization for enterprise/safety-critical software.
Track record of building tool-using AI models, agent supervision interfaces, or zero-to-one developer tools.

Responsibilities

Architect and build domain models, APIs, and high-density visual interfaces for intent expression, agent supervision, and anomaly diagnosis.
Apply core information design principles (hierarchy, progressive disclosure, small multiples, data provenance) to make high-dimensional, temporal, and non-deterministic system state instantly understandable.
Design interactions, feedback loops, and state-reversal mechanisms for automated workflows. Define micro-interactions, sensible default states, and clear affordances for human oversight.
Intentionally balance synchronous approvals, asynchronous audit trails, and automated guardrails based on risk, uncertainty, and reversibility.
Rapidly prototype new interaction models, evaluate them against technical constraints, and ship production-grade code that raises the bar for explainability and usability.