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Job Category
Software Engineering
Job Details
Applications will be accepted until 10/23/2026.
The Experience:
We are seeking a senior full-stack engineer with deep backend roots to build the next generation of application interfaces for an agent-driven world. Traditional UIs rely on static, step-by-step human workflows; our future surfaces rely on AI agents doing the bulk of the work while high-density dashboards give humans real-time visibility, intent control, and governance. To build interfaces that make complex, non-deterministic system state effortlessly clear, you must be someone who can write production agentic/AI code, reason deeply about distributed data architecture, and translate underlying backend complexity into intuitive, high-trust human experiences.
About the Role:
We are looking for a rare software engineer: someone who understands backend application architecture and data pipeline engineering deeply, writes production backend and agentic code, and is equally driven by information design, front-end architecture, and human-computer interaction.
In an agentic world, control planes are shifting from rigid step-by-step workflows to intent-driven supervision. As AI agents execute complex, non-deterministic tasks, humans need clear visibility into application state, data lineage, and failure modes. You will own both the backend software logic and the visual control/telemetry surfaces-building the bridges that allow humans to direct, govern, observe, and intervene in AI-agent activities with high trust.
This is a hands-on, code-first software engineering role for someone who loves full-stack execution, agentic orchestrations, and transforming complex data flows and backend behavior into intuitive, powerful user interfaces.
What You'll Do
- End-to-End Control Planes & Telemetry: Architect, write, and maintain backend services, domain models, APIs, and high-density front-end interfaces for intent expression, agent supervision, and anomaly diagnosis.
- Agentic Integration & Backend Execution: Design asynchronous workflows, event streams, and LLM/agent integration layers (tool-use, state machines, contextual memory) while ensuring resilience, auditability, and clear data provenance.
- Information Architecture & High-Density UI: Apply core information design principles (hierarchy, progressive disclosure, temporal tracking) to make non-deterministic system states and multi-agent interactions instantly legible through next-gen dashboards.
- Human-in-the-Loop Frameworks: Build the interaction logic, feedback loops, and state-reversal mechanisms for automated workflows. Implement dynamic guardrails, synchronous approval gates, and asynchronous audit trails based on risk and reversibility.
- Prototyping to Production: Rapidly code functional prototypes to test novel human-agent interaction models, stress-test them against backend performance constraints, and ship production-grade code across the full stack.
You're Our Person If:
- Full-Stack Software Engineering Experience: Strong backend foundation in web backend architecture, state management, asynchronous failure modes, and observability, alongside modern front-end engineering proficiency (e.g., React, TypeScript, modern state management, web visualization).
- Hands-on Agentic & AI Engineering: Practical experience writing code that orchestrates LLMs, AI agents, or tool-using model workflows (beyond basic prompt-engineering or chat interfaces).
- Innate Instincts for UI/UX & Information Design: A deep passion for human-computer interaction, data visualization, and micro-interactions. You care about friction vs. fluidity-knowing exactly when to require human intervention and how to clearly show causality and uncertainty.
- Product & Platform Thinking: Ability to reason through multi-agent governance, context delegation, and high-trust developer/operator tools.
Even Better If:
- Experience building developer tools, observability platforms, complex control planes, or investigative analytics software.
- A background or strong self-directed grounding in HCI (Human-Computer Interaction), design systems, or data visualization theory (e.g., Edward Tufte, Bret Victor, Tamara Munzner).
- Track record of building zero-to-one developer platforms or open-source tooling for AI agent supervision.
Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
