# Field Engineer, Commercial
**Company:** [Cursor](https://scaleengineer.com/companies/cursor)
Field Engineer at Cursor (SpaceX SI) serving as the technical bridge between commercial customers and the Grok AI platform. You'll lead technical discovery, build end-to-end prototypes, and guide enterprise customers through proof-of-concept engagements while influencing product strategy. This role combines deep technical fluency with customer-facing consulting to drive AI adoption across engineering workflows and business processes.
**Role:** Field Engineer
**Seniority:** Mid
**Locations:** Singapore
**Remote:** yes
**Salary:** 140000–200000 USD
[Apply](https://jobs.ashbyhq.com/cursor/9764046f-8303-4fca-8386-4e743dfc8722)
Canonical: https://scaleengineer.com/jobs/cursor/field-engineer-commercial
---
## Responsibilities

- Lead Technical Discovery and Proof-of-Concept Engagements: Partner with Account Executives to conduct comprehensive technical discovery sessions with prospective commercial customers. Lead demonstrations of Cursor, Grok Bot, and the Grok API, manage proof-of-concept timelines and deliverables, and translate customer business objectives into technical requirements for AI-driven solutions.
- Build End-to-End Working Prototypes: Design and develop working prototypes that demonstrate how multiple tools, agents, and AI models interconnect to solve real customer workflows. Showcase integration capabilities, establish feasibility, and validate business value through hands-on demonstrations that span the complete solution architecture.
- Serve as Technical Advisor and Trusted Consultant: Build and maintain deep relationships with engineering leaders, architects, and developer teams at customer organizations. Provide strategic guidance on AI implementation best practices, agent orchestration, prompt engineering strategy, context configuration, and rollout planning to maximize adoption and value realization.
- Translate Requirements into Solution Designs: Convert complex customer requirements into comprehensive end-to-end solution architectures that incorporate agent design, tool integration, human-in-the-loop controls, and governance frameworks. Ensure solution designs address technical feasibility, scalability, security, and alignment with enterprise standards.
- Develop and Deliver Technical Presentations and Workshops: Create and present customized technical content including whiteboard architecture sessions, hands-on workshops, and executive briefings. Tailor delivery to different technical audiences from CTOs to individual developers, ensuring alignment between technical implementation and business objectives.
- Act as Internal Customer Advocate: Represent customer feedback and requirements within Cursor's Product and Engineering teams. Escalate critical customer needs, technical blockers, and feature requests. Influence product roadmap priorities by synthesizing customer feedback into actionable insights that drive platform improvements and competitive differentiation.
- Coordinate Customer Onboarding and Post-Sales Success: Collaborate with post-sales engineering and customer success teams to ensure seamless transition from pre-sales to implementation phases. Participate in onboarding planning, knowledge transfer sessions, and early production deployments to ensure customers achieve projected outcomes and realize full platform value.
- Maintain Platform and Competitive Expertise: Develop and maintain deep technical knowledge of the Grok platform capabilities, Cursor IDE integration, competitive AI solutions, and emerging trends in AI-assisted development. Stay current on industry best practices for AI implementation, prompt optimization, and developer workflow automation to position Cursor effectively against alternatives.
- Drive Account Expansion and Upsell Opportunities: Support account planning activities by identifying expansion opportunities within existing customer portfolios. Conduct technical validation of new use cases, demonstrate extended platform capabilities, and work with sales teams to quantify business impact of broader AI adoption across customer organizations.

## Requirements

### education

- {"name":"Computer Science or Related Technical Field","description":"Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related quantitative discipline. Equivalent hands-on technical experience in software development, systems architecture, or engineering roles may substitute for formal degree requirements."}
- {"name":"Continuing Technical Education","description":"Demonstrated commitment to staying current with emerging technologies through certifications, coursework, open-source contributions, or technical writing. Examples include AI/ML certifications, cloud platform certifications, or active participation in technical communities and conferences."}

### technical

- {"name":"Hands-On Software Development Fluency","description":"Comfortable writing and debugging code across multiple programming languages. Understand software development lifecycle practices, testing methodologies, and version control systems. Ability to develop functional prototypes, proof-of-concept code, and integration examples that demonstrate platform capabilities to technical teams."}
- {"name":"AI and Machine Learning Fundamentals","description":"Deep understanding of generative AI models, prompt engineering, retrieval-augmented generation (RAG), and agentic AI architectures. Knowledge of how language models integrate into production systems, including context management, model fine-tuning approaches, and responsible AI practices including safety controls and governance frameworks."}
- {"name":"Modern Development Workflows and Tools","description":"Hands-on experience with contemporary development tools, IDEs, and platforms. Understanding of developer productivity tools, CI/CD pipelines, code collaboration systems, and how AI augmentation impacts engineering workflows. Familiarity with API-first architecture and integration patterns across SaaS platforms."}
- {"name":"System Design and Architecture","description":"Ability to think systematically about complex technical architectures. Understanding of how distributed systems, APIs, databases, and microservices interconnect at scale. Capacity to identify failure points, bottlenecks, and reliability concerns when designing end-to-end AI solutions for enterprise environments."}
- {"name":"Enterprise Integration and API Design","description":"Experience designing solutions that integrate with existing enterprise systems, business applications, and third-party services. Understanding of API specifications, authentication mechanisms, data validation, and security protocols required in regulated industries or large organizations."}

### experience

- {"name":"Field Engineering or Solutions Architecture Background","description":"Demonstrated experience in field engineering, solutions architecture, or pre-sales technical roles where you led customer evaluations, designed solutions, and drove adoption. Experience translating complex technical capabilities into customer-aligned solution proposals and managing deal cycles through proof-of-concept phases."}
- {"name":"Building Systems that Automate Work Across Teams","description":"Direct experience designing, implementing, or architecting systems, workflows, or platforms that automate repetitive work and improve productivity across multiple teams or functional areas. Examples include workflow automation platforms, integration frameworks, or productivity tools that demonstrate systems thinking and practical implementation capability."}
- {"name":"Customer-Facing Technical Roles","description":"Experience in roles that combine technical depth with customer interaction, such as technical account management, customer engineering, or developer relations. Proven ability to communicate complex technical concepts to non-technical stakeholders, establish credibility with technical teams, and translate between business and technical languages."}
- {"name":"Startup or High-Growth Environment Experience","description":"Demonstrated success working in fast-paced startup or hypergrowth environments where roles span multiple functions, priorities shift frequently, and self-direction is essential. Proven ability to be resourceful, adaptable, and proactive in creating solutions with limited resources or unclear requirements."}

## Skills

### required

- {"name":"Executive Communication and Presence","description":"Ability to articulate complex technical concepts clearly to audiences at all organizational levels, from CTOs to individual developers. Strong presentation skills, confident demeanor in high-stakes customer meetings, and capacity to build trust and credibility quickly with technical stakeholders."}
- {"name":"Technical Problem-Solving","description":"Demonstrated capability to diagnose technical issues, propose practical solutions, and think through second and third-order effects of architectural decisions. Comfort working through ambiguity when customer requirements are unclear or contradictory."}
- {"name":"Customer Empathy and Business Acumen","description":"Ability to understand customer business challenges, organizational constraints, and strategic objectives. Translate technical capabilities into measurable business impact, quantify ROI, and position solutions in terms of customer success metrics rather than just technical features."}
- {"name":"Rapid Learning and Adaptability","description":"Ability to quickly acquire deep knowledge of new platforms, customer businesses, and technical domains. Comfortable learning by doing, asking clarifying questions, and synthesizing information from multiple sources to develop comprehensive understanding in compressed timelines."}
- {"name":"Collaboration and Cross-Functional Teamwork","description":"Effective partnership with diverse teams including Sales, Product, Engineering, and Customer Success. Ability to represent different perspectives, facilitate alignment between groups with competing priorities, and work toward shared customer success outcomes."}

### preferred

- {"name":"Large Language Model (LLM) and Generative AI Experience","description":"Direct hands-on experience building applications with LLMs such as GPT-4, Claude, or open-source models. Understanding of prompt optimization techniques, few-shot learning, chain-of-thought reasoning, and practical considerations for production LLM deployments in enterprise environments."}
- {"name":"Agentic AI and Orchestration Frameworks","description":"Practical experience with AI agent frameworks, multi-step reasoning systems, tool-use architectures, and agentic orchestration platforms. Understanding of how to design agent workflows, structure state management, and implement guardrails for autonomous decision-making systems."}
- {"name":"Developer Productivity Tools and Platforms","description":"Experience with modern IDE integrations, code completion tools, GitHub Copilot, or similar AI-assisted development platforms. Understanding of how developers interact with AI-augmented coding tools, common integration patterns, and user experience considerations for developer-facing products."}
- {"name":"Competitive AI Platform Knowledge","description":"Familiarity with competitive generative AI platforms, code generation tools, and enterprise AI solutions. Understanding of Cursor's positioning relative to alternatives, comparative capabilities, pricing models, and use cases where Cursor provides compelling differentiation."}
- {"name":"Enterprise Software Implementation","description":"Experience implementing, deploying, or rolling out enterprise software solutions at scale. Understanding of corporate governance, security review processes, compliance requirements (SOC2, HIPAA, etc.), and organizational change management challenges in large organizations."}
- {"name":"Database and Infrastructure Knowledge","description":"Understanding of database technologies, API gateway patterns, vector databases for semantic search and RAG systems, and cloud infrastructure considerations relevant to deploying AI solutions. Awareness of scalability, latency, and cost implications of architectural decisions."}

## Tech stack

### tools

### others

### databases

### languages

### frameworks

## Benefits

### benefits

## Compensation

- **max:** 0
- **min:** 0
- **currency:** 
- **stockOptions:** false

## Interview process

### steps

## Full description
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.  
  
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

## About the Role

We're hiring Field Engineers to partner with prospective and growing commercial customers. As a Field Engineer, you'll be the technical face of SpaceX Super Intelligence in the field, helping customers evaluate the Grok platform, including Cursor, Grok Bot and the Grok API, guiding them through proofs of concept, and ensuring they see the full value of AI across their engineering workflows and wider business processes.

You'll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical stakeholders. This is a highly customer-facing role where you'll combine deep technical fluency with strong communication skills to drive adoption and influence product direction.

## **What you’ll do**

* Partner with Account Executives to lead technical discovery, demos, and proof-of-concept engagements
* Build working prototypes that connect multiple tools and agents to show customers how a real workflow runs end to end
* Build trusted relationships with engineering leaders, architects, and developers, serving as their technical advisor
* Translate customer requirements into end-to-end solution designs, from agents and tooling to the controls that keep people in the loop, guiding them on best practices for rollout, prompt strategy, and context configuration
* Develop and deliver technical presentations, whiteboard sessions, and hands-on workshops tailored to customer needs
* Act as the customer's technical advocate internally, influencing roadmap priorities and escalating feedback to Product and Engineering
* Collaborate with post-sales teams to ensure a smooth handoff and successful customer onboarding
* Maintain deep knowledge of the Grok platform and the competitive landscape to position our value effectively
* Support account planning and help drive expansion opportunities across a portfolio of customers with technical validation

## **You may be a fit if**

* You have strong communication skills and executive presence, equally comfortable coding alongside developers or presenting to technical leaders.
* You have a deep understanding of how work gets done in modern organisations, whether that's the software development lifecycle and developer productivity, or the business systems and workflows that span teams
* You have hands-on technical ability and think in systems: you don't need to be a full-time engineer, but you're fluent in technical workflows and AI tooling, and understand how the pieces connect, where they break, and how to make them reliable at scale
* You are customer-obsessed with a knack for translating technical details into business impact
* You have experience in Field Engineering, Solutions Architecture, or Pre-Sales, or have designed and built systems that automate work across teams and tools
* You thrive in a startup environment: resourceful, adaptable, proactive in creating solutions, and comfortable running several evaluations in parallel