1 month ago
Responsibilities
- Lead customer discovery, understand codebases and workflows, identify bottlenecks, and define success metrics.
- Design and ship production agents, AI applications, and coding-agent workflows using Grok and SpaceXAI models.
- Launch initial systems quickly and harden them through rollout, monitoring, evaluation, and iteration based on real usage.
- Own production quality through tracing, evaluations, debugging, reliability work, and latency and cost tradeoffs.
- Build tools, MCP servers, retrieval and rules systems, skills, CI gates, and evaluations around models.
- Integrate solutions with customer authentication, data, workflows, and delivery systems.
- Measure business outcomes including revenue, cost, hours saved, error rate, cycle time, and escaped defects.
- Work with Staff+, platform, and domain leaders; support customer operation after launch and turn learnings into reusable product patterns.
Requirements
- 5+ years of experience in software engineering, machine learning engineering, or data science.
- Ability to write and review production code using Python and JavaScript/TypeScript; other languages are welcome.
- Experience owning customer or operator outcomes and turning ambiguous problems into scoped, shipped systems.
- Experience building and owning AI-native workflows or agents in production and debugging model, tool, data, pipeline, or delivery failures.
- Experience with production reliability, including metrics, alerts, safe rollouts, and incident response.
- Ability to build end to end across frontend, backend, infrastructure, and prompt iteration.
- Ability to communicate effectively with working engineers and vice presidents and operate in ambiguous environments.
- Preferred: 2+ years in a customer-facing role accountable for external stakeholder outcomes.
- Preferred: hands-on experience with agents and tool-calling, evaluation harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows.
- Preferred: experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer owning an AI product end to end.
Tech Stack
Categories
Forward Deployed
About Cursor
Cursor is an AI-powered code editor and coding assistant from Anysphere, built for professional software engineers and enterprise teams. It combines a VS Code–style editor with integrated AI chat, code generation, and repo-aware refactoring, and is sold via individual, team, and enterprise subscriptions. The company also targets sectors like healthcare and state and local education with field engineers who support evaluations and proofs of concept.