23 days ago
Singapore, SingaporeSenior
Responsibilities
- Lead customer discovery, understand codebases and workflows, identify valuable bottlenecks, and define success metrics.
- Design and ship production agents, AI applications, and coding-agent workflows on Grok and SpaceXSI models.
- Integrate systems with customer authentication, data, tools, workflows, and delivery systems, including tools, MCP servers, retrieval, rules, skills, CI gates, and evaluations.
- Launch initial versions quickly, then improve them through rollout, monitoring, production tracing, evaluation, debugging, and real-usage iteration.
- Own production reliability and quality, including metrics, alerts, safe rollouts, incident response, and latency and cost tradeoffs.
- Measure business outcomes such as revenue, cost, hours saved, error rate, cycle time, and escaped defects.
- Collaborate with Staff+ leaders, platform teams, domain leaders, engineers, and VPs while communicating technical tradeoffs and results.
- Enable customer teams to operate what was built and convert field learnings into reusable SpaceXSI product patterns.
Requirements
- At least 5 years of experience in software engineering, machine learning engineering, or data science.
- Ability to write and review production code in 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 operating 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 work effectively in ambiguous environments without a complete specification and communicate with both engineers and VPs.
- Preferred: 2+ years in a customer-facing role with discovery and accountability for external stakeholder outcomes.
- Preferred: hands-on depth in agents and tool-calling, evaluation harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repository.
- 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
AI ApplicationsForward 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.