# Field Engineer, Life Sciences
**Company:** [Cursor](https://scaleengineer.com/companies/cursor)
Field Engineer for Life Sciences at Cursor, a leading AI coding platform. This customer-facing role combines deep technical expertise with commercial acumen to partner with enterprise Life Sciences organizations on AI-driven development solutions. You'll own technical discovery, proofs of concept, and expansion by translating Cursor's agentic coding capabilities into measurable R&D and time-to-market outcomes for regulated research environments.
**Role:** Solutions Engineer
**Seniority:** Mid
**Locations:** Remote
**Remote:** yes
**Salary:** 150000–200000 USD
[Apply](https://jobs.ashbyhq.com/cursor/41f0d1a2-9449-4980-8592-f23290a9b65e)
Canonical: https://scaleengineer.com/jobs/cursor/field-engineer-life-sciences
---
## Responsibilities

- Technical Discovery and POC Leadership: Partner with Account Executives to own end-to-end technical discovery, design, and execution of proofs of concept with enterprise Life Sciences customers. Scope technical solutions that demonstrate how agentic coding accelerates R&D cycles and reduces time-to-market for pharmaceutical, biotech, and research organizations.
- Stakeholder Relationship Building: Build trusted advisory relationships across multiple technical and commercial stakeholders including engineering leaders, architects, developers, scientific computing teams, R&D departments, and commercial IT. Navigate complex organizational structures within regulated research environments to identify champions and influence adoption.
- Technical Demonstrations and Workshops: Design and deliver compelling technical presentations, hands-on whiteboarding sessions, and workshops tailored to diverse audiences including scientific computing professionals, software engineers, CTOs, and commercial stakeholders. Showcase Cursor's capabilities within real-world development workflows specific to Life Sciences organizations.
- Regulated Environment Expertise: Develop deep understanding of research-heavy and highly regulated development environments, including SDLC compliance, scientific computing workflows, complex infrastructure setups, and AI tooling integration. Advise customers on implementation strategies that maintain regulatory compliance while maximizing development velocity.
- Customer-Centric Business Translation: Translate technical capabilities into quantifiable business outcomes and scientific impact metrics. Connect Cursor's features directly to customer objectives such as accelerated R&D cycles, faster regulatory pathways, improved developer productivity, and competitive advantages in drug discovery and research commercialization.
- Internal Customer Advocacy: Serve as the voice of enterprise customers within Cursor's Product and Engineering teams. Communicate customer feedback, feature requests, and technical requirements to influence product roadmap decisions and ensure customer needs shape Cursor's development priorities.
- Competitive Market Positioning: Maintain deep expertise in Cursor's capabilities and competitive landscape within Life Sciences. Stay current with competitor offerings, AI tooling trends, and enterprise development practices to effectively position Cursor's advantages in customer conversations and handle competitive objections.
- Seamless Customer Handoff: Coordinate with post-sales and customer success teams to ensure clean transition from pre-sales to implementation. Create comprehensive onboarding documentation, technical briefings, and knowledge transfer materials that set customers up for successful Cursor deployment and value realization.

## Requirements

### education

- {"name":"Bachelor's Degree in Computer Science, Engineering, or Related Field","description":"Formal education providing strong foundation in computer science, software engineering, electrical engineering, or closely related technical discipline. Equivalent professional experience demonstrating technical depth may substitute."}
- {"name":"Life Sciences or Scientific Computing Background","description":"Educational background or specialized training in Life Sciences, biology, chemistry, bioinformatics, or scientific computing. Helps accelerate context-building in regulated research environments but not strictly required with demonstrated ability to learn quickly."}

### technical

- {"name":"Software Development Lifecycle (SDLC) Proficiency","description":"Strong working knowledge of software development processes, methodologies, and practices. Ability to translate between technical implementation details and business impact, understanding how development workflows directly affect time-to-market and R&D efficiency."}
- {"name":"AI and Agentic Coding Systems","description":"Hands-on familiarity with AI-powered development tools, large language models in coding contexts, and autonomous agents. Ability to articulate how agentic systems augment developer productivity and transform development practices without requiring deep specialization as a full-time engineer."}
- {"name":"Complex Technical Environments","description":"Demonstrated experience navigating and explaining sophisticated development infrastructures, cloud environments, containerization, and multi-layered technical stacks. Comfort with scientific computing frameworks, data pipelines, and regulated development environments."}
- {"name":"Software Architecture and Design Patterns","description":"Understanding of modern software architecture principles, design patterns, and scalability considerations. Ability to discuss architectural decisions with engineering leaders and explain how Cursor integrates into existing technical infrastructure."}
- {"name":"Regulated Environment Compliance","description":"Knowledge of compliance requirements in Life Sciences including FDA regulations, GxP standards, data security, and audit trails in regulated development environments. Understanding of how development tooling must conform to regulatory frameworks in pharmaceutical and biotech contexts."}

### experience

- {"name":"Field Engineering or Solutions Architecture","description":"Proven background in Field Engineering, Solutions Architecture, Technical Account Management, or similar customer-facing technical roles. Track record of driving technical evaluation processes, building consensus among stakeholders, and translating customer requirements into solutions."}
- {"name":"Enterprise Sales Engineering or Pre-Sales","description":"Experience in enterprise pre-sales environments with proven ability to manage complex sales cycles involving multiple stakeholders and technical decision-makers. Comfort working collaboratively with sales teams as a deal partner rather than a resources, influencing commercial outcomes through technical expertise."}
- {"name":"Life Sciences or Regulated Industries","description":"Background working with Life Sciences organizations, pharmaceutical companies, biotech firms, research institutions, or other regulated industries. Familiarity with unique constraints, compliance requirements, and business drivers of research-focused organizations."}
- {"name":"Developer-Facing Technical Role","description":"Prior experience in roles requiring strong communication with software developers and technical teams, such as consulting, DevOps, platform engineering, or technical product management. Demonstrated ability to build credibility with engineering-focused audiences."}
- {"name":"Hands-on Programming Experience","description":"Practical coding experience in at least one modern programming language, with ability to review code, understand technical implementations, and discuss development practices credibly alongside professional developers. Not required to be a full-time engineer but must maintain current technical fluency."}

## Skills

### required

- {"name":"Technical Communication and Executive Presence","description":"Exceptional ability to communicate complex technical concepts to diverse audiences ranging from software developers to C-suite executives. Strong presence in high-stakes customer meetings with confidence, credibility, and adaptability to audience technical level."}
- {"name":"Solution Design and Scoping","description":"Ability to understand customer challenges, design tailored technical solutions, and scope realistic proofs of concept. Translates ambiguous customer requirements into concrete deliverables and measurable success criteria within defined timeframes."}
- {"name":"Deal Structuring and Commercial Instinct","description":"Understanding of deal dynamics, sales cycles, and commercial strategy. Ability to think strategically about customer engagement, identify expansion opportunities, and structure technical engagements that advance sales objectives while maintaining customer success."}
- {"name":"Stakeholder Management","description":"Demonstrated ability to navigate complex organizational structures, build relationships with multiple decision-makers, and influence outcomes across technical, commercial, and scientific stakeholders. Comfort operating without formal authority."}
- {"name":"Product Knowledge and Competitive Positioning","description":"Quick learner capable of deeply understanding Cursor's capabilities, limitations, and competitive positioning within days. Ability to position product advantages authentically and handle competitive objections with technical credibility."}
- {"name":"Customer-Centric Problem Solving","description":"Strong customer empathy and obsession with understanding and solving customer problems. Ability to translate customer pain points into requirements that inform internal product and engineering discussions."}

### preferred

- {"name":"Python Programming","description":"Working knowledge of Python for data science, scientific computing, or general scripting. Python dominates Life Sciences development and understanding Python-based workflows, libraries, and environments accelerates customer credibility."}
- {"name":"Cloud Platforms and DevOps","description":"Familiarity with AWS, Google Cloud, or Azure environments. Understanding of containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and infrastructure-as-code. Helps connect Cursor to modern development and deployment workflows."}
- {"name":"Machine Learning and Data Science Workflows","description":"Knowledge of machine learning development practices, data pipelines, experiment tracking, and model deployment. Valuable for understanding how agentic systems augment ML engineering in Life Sciences research contexts."}
- {"name":"Scientific Computing Libraries and Tools","description":"Familiarity with scientific computing ecosystems including NumPy, pandas, Jupyter notebooks, BioPython, or domain-specific scientific tools. Helps establish credibility with research-focused technical teams."}
- {"name":"Regulatory and Compliance Knowledge","description":"Understanding of FDA regulations, GxP standards, HIPAA, or other Life Sciences compliance frameworks. Knowledge of how compliance requirements shape development practices and tooling decisions in regulated organizations."}
- {"name":"Sales Operations or Revops","description":"Experience supporting enterprise sales operations, managing deal pipelines, or working within CRM systems. Helps structure customer engagements efficiently and collaborate effectively with sales teams."}
- {"name":"Public Speaking and Presentation Design","description":"Advanced presentation skills including conference speaking, webinar delivery, or public speaking experience. Ability to design compelling visual presentations and engage audiences in technical workshops."}

## Tech stack

### tools

- {"name":"Git and Version Control","description":"Essential for understanding modern development workflows, collaboration practices, and the software development lifecycle in research organizations."}
- {"name":"Docker and Kubernetes","description":"Containerization and orchestration tools critical for deploying reproducible research environments, ensuring computational reproducibility, and managing complex scientific computing infrastructure."}
- {"name":"Jupyter Notebooks","description":"Standard tool for interactive research, data analysis, and scientific computing workflows in Life Sciences. Understanding Jupyter's role in research practices is essential for credibility with scientific teams."}
- {"name":"AWS / Google Cloud / Azure","description":"Cloud platforms used for scalable research computing, data storage, and research infrastructure. Understanding cloud deployment of research workloads is increasingly important in modern Life Sciences."}
- {"name":"GitHub / GitLab","description":"Version control and collaboration platforms central to modern software development practices and research code management in Life Sciences organizations."}
- {"name":"Slack / Microsoft Teams","description":"Communication platforms for understanding modern team collaboration practices and stakeholder engagement strategies in distributed research organizations."}

### others

- {"name":"Agentic AI Systems and Large Language Models","description":"Deep understanding of how large language models and autonomous agents augment software development. Ability to articulate Cursor's positioning within broader AI-assisted development landscape."}
- {"name":"CI/CD Pipelines and DevOps Practices","description":"Knowledge of continuous integration and deployment practices, infrastructure-as-code, monitoring, and observability. Understanding how modern development practices accelerate research timelines."}
- {"name":"Data Science and ML Workflows","description":"Familiarity with machine learning development practices, experiment tracking, model evaluation, and MLOps. Critical for understanding how AI development differs from traditional software development in research contexts."}
- {"name":"Scientific Research Methodologies","description":"Understanding of research methodologies, hypothesis testing, and scientific computing principles. Helps build credibility with research-focused stakeholders and understand research acceleration use cases."}
- {"name":"Regulatory Compliance Frameworks (FDA, GxP, HIPAA)","description":"Knowledge of Life Sciences regulatory requirements, compliance documentation, and audit trails. Understanding how compliance requirements shape development velocity and tooling decisions in regulated organizations."}

### databases

- {"name":"PostgreSQL","description":"Open-source relational database widely adopted in Life Sciences research environments for structured data storage, research data management, and clinical applications."}
- {"name":"MongoDB","description":"NoSQL database used in Life Sciences for flexible schema requirements in research data, sensor data from laboratory equipment, and distributed research systems."}
- {"name":"GraphQL","description":"Modern query language increasingly adopted in scientific platforms for efficient data fetching, enabling researchers to work with complex, interconnected research datasets."}

### languages

- {"name":"Python","description":"Dominant language in Life Sciences development for data analysis, scientific computing, and research automation. Strong understanding of Python ecosystems required for credibility with research teams."}
- {"name":"JavaScript/TypeScript","description":"Modern web development language increasingly used in scientific tools and data visualization platforms. Understanding TypeScript benefits technical discussions around type safety in large codebases."}
- {"name":"SQL","description":"Essential for understanding data management, pipelines, and queries in research databases. Required for discussing data-driven development workflows in Life Sciences organizations."}

### frameworks

- {"name":"FastAPI / Flask","description":"Python web frameworks commonly used in Life Sciences for building research tools, APIs, and scientific services. Understanding these frameworks helps discuss modern Python development practices."}
- {"name":"React","description":"Popular JavaScript framework for building scientific visualization interfaces and data analysis dashboards used in Life Sciences applications and research platforms."}
- {"name":"Django","description":"Enterprise Python framework used for building comprehensive research management systems, clinical trial platforms, and scientific data management applications."}

## Benefits

### benefits

## Compensation

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

## Interview process

### steps

## Full description
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

We're hiring Field Engineers to partner with prospective and strategic enterprise customers across Life Sciences. You'll be the technical face of Cursor for the scientific organizations shortening the path from lab to market: helping programmers, researchers, scientists, and commercial teams evaluate Cursor, running proofs of concept, and making sure they see the full value of agentic coding in their real workflows.

You'll work hand-in-hand with Sales, Product, and Engineering as a deal partner, not a demo resource. You'll scope solutions, demonstrate capabilities, and act as a trusted advisor across the stakeholders that matter in Life Sciences: engineering leaders, architects, developers, scientific computing, R&D, and commercial IT. This is a highly customer-facing role where deep technical fluency, commercial instinct, and clear communication drive adoption and influence product direction.

**What you'll do**

* Partner with AEs to own technical discovery, demos, POCs, and expansion with technical validation
* Build trusted relationships across engineering, scientific computing, R&D, and commercial IT
* Go deep in research-heavy and regulated environments: developer workflows, AI tooling, complex setups
* Help customers connect Cursor to outcomes that matter: faster R&D cycles and a shorter path from lab to market
* Deliver technical presentations, whiteboards, and workshops for scientific and commercial audiences
* Act as the customer's technical advocate internally with Product and Engineering
* Partner with post-sales to hand off cleanly and set up onboarding for success
* Stay sharp on Cursor and the competitive landscape so you can go toe to toe in the room

**You may be a fit if**

* You have strong communication skills and executive presence, equally comfortable coding alongside developers or presenting to CTOs and scientific leaders
* You understand the SDLC and can connect technical detail to business and scientific impact
* You have hands-on technical fluency (not full-time eng): workflows, AI tooling, complex environments
* You have deal-partner instinct: co-own with AEs and navigate complex stakeholder maps
* You're customer-obsessed and can translate technical detail into why it matters for the organization
* You have experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting
* You're excited by Life Sciences and comfortable learning regulated / research-heavy orgs fast
* You're motivated by putting AI in the hands of people accelerating benefits for humanity