Description
Join a team of 10 within Salesforce AI Labs, bringing computer-use AI into production with the autonomy of a small startup and the reach of Salesforce.
You’ll help build a product that learns from human demonstrations and turns complex workflows into repeatable automation across enterprise applications.
Responsibilities:
Drive Agent Development & Architecture
- Build systems that learn from demonstrations and combine AI reasoning with deterministic execution to complete workflows reliably.
- Develop recovery and verification capabilities so agents can adapt to changes, confirm outcomes, and recognize when human intervention is needed.
- Build backend services with robust workflow state management, failure handling, and secure access to customer environments.
- Create evaluations and diagnostics that measure task success, expose regressions, and make failures understandable.
Build Directly With Customers
- Work alongside customers to understand their workflows, prototype solutions, and validate results in their environments.
- Investigate where automation succeeds or fails, then turn those findings into improvements to the core product.
- Help customers move from their first successful workflow toward repeatable, increasingly self-service adoption.
- Partner with forward-deployed engineers and product management to decide which customer needs should shape the roadmap.
Shape Technical Direction & Grow the Team
- Own technical decisions for substantial components, from initial design through production operation.
- Evaluate model selection, tool use, and context management against reliability, latency, and cost.
- Mentor peers through design discussions and code reviews, and participate in hiring.
Requirements:
- You’ve independently owned a substantial backend service or system through design, deployment, production failures, and subsequent improvements.
- You have hands-on experience building and evaluating LLM-powered systems, and can explain how you assessed their quality and failure modes.
- You can reason through concurrency, persistent state, retries, and partial failures in systems that perform consequential actions.
- You’re proficient in Python, Go, Java, or JavaScript/TypeScript.
- You can turn an unclear customer problem into a bounded technical approach, test it with users, and carry it through to production.
- You want direct customer engagement to be part of your engineering work, including investigating problems and discussing technical tradeoffs.
- You use AI development tools thoughtfully and take responsibility for the correctness, security, and maintainability of what you ship.
Benefits:
- Time off programs
- Medical, dental, vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program