About the Role

We're looking for a Senior Sales Engineer to help enterprise customers adopt LandingAI's Agentic Document Extraction (ADE) platform.

This is a highly customer-facing role where you'll combine deep AI expertise with consultative selling to help customers solve complex document processing challenges. As the technical lead on enterprise opportunities, you'll partner closely with Account Executives throughout the sales cycle-leading technical discovery, designing solution architectures, delivering executive presentations, running product demonstrations, and guiding Proofs of Concept (PoCs).

While this role requires strong hands-on AI expertise, success is measured by your ability to communicate complex technical concepts, build trust with enterprise customers, and help win strategic deals. You'll also remain involved after the sale to ensure successful customer adoption and identify opportunities for expansion.

You'll work closely with Product, Engineering, Customer Success, and GTM teams to shape both customer solutions and the future direction of the ADE platform.

Key Responsibilities

• Serve as the technical lead for enterprise sales opportunities, partnering closely with Account Executives throughout the entire pre-sales cycle.
• Lead technical discovery sessions to understand customer business challenges, document workflows, and technical requirements.
• Design solution architectures and deliver compelling product demonstrations, executive presentations, whiteboard sessions, and technical workshops that demonstrate the value of Agentic Document Extraction.
• Lead technical evaluations and Proofs of Concept (PoCs), helping customers validate both business value and technical fit.
• Develop prototype integrations and AI workflows using Python, APIs, and modern AI development tools to address customer use cases.
• Collaborate with Sales on technical strategy, proposals, competitive positioning, executive briefings, and ROI discussions to help win strategic enterprise opportunities.
• Support strategic customer engagements after the sale as part of a land-and-expand strategy, partnering with Customer Success and Engineering when additional technical leadership is needed.
• Provide structured customer feedback to Product and Engineering, helping shape the future direction of the ADE platform.
• Partner with ISVs, OEMs, and System Integrators to build industry-specific AI solutions and expand the ADE ecosystem.
• Stay current on emerging AI technologies and contribute technical thought leadership through customer success stories, conference presentations, blogs, and internal best practices.

What You'll Need to Succeed

• Be based in the San Francisco Bay Area and able to work in a hybrid/in-office environment in Mountain View.
• Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or a related quantitative field.
• 5+ years of experience in a technical pre-sales role (e.g., Sales Engineer, Solutions Engineer, Solutions Architect, Forward Deployed Engineer, or Applied AI Engineer) supporting enterprise software sales.
• Proven experience partnering with Account Executives to lead technical discovery, product demonstrations, executive presentations, whiteboard sessions, and Proofs of Concept (PoCs) throughout enterprise sales cycles.
• Outstanding communication and presentation skills, with the ability to explain complex AI concepts to both executive and highly technical audiences.
• Strong understanding of enterprise AI, document processing, LLMs, NLP, multimodal AI, RAG, or agentic AI.
• Strong Python skills to prototype customer solutions, guide coding agents, and debug AI-generated code.
• Experience using modern AI development tools (e.g., Claude CLI, Cursor, GitHub Copilot, or similar) to rapidly prototype customer solutions.
• Hands-on experience with AWS, Azure, or GCP, including enterprise VPC deployments, APIs, Docker, Kubernetes, and cloud-native architectures.
• Experience with Snowflake or other enterprise cloud data platforms.
• Familiarity with enterprise sales methodologies such as MEDDIC.
• Strong problem-solving skills and the ability to thrive in a fast-paced startup environment.

Nice-to-Have

• Experience selling or implementing Document AI, Intelligent Document Processing (IDP), OCR, or enterprise document automation solutions.
• Experience with document AI platforms such as Instabase, Reducto, LlamaParse, Google Document AI, Azure Document Intelligence, Amazon Textract, or similar technologies.
• Experience supporting customers in Financial Services, Banking, Insurance, Healthcare, or Legal industries.
• Deep understanding of OCR, schema-based extraction, multimodal AI, RAG, and agentic AI frameworks.
• Experience building AI agents or agentic workflows using modern LLM tooling.
• Experience with JavaScript, C#, or additional programming languages.

LandingAI Benefits

• Stock Awards - We want you to share in our success with equity grants.
• Comprehensive Healthcare - Medical, dental, and vision coverage for you and your dependents.*
• Wellness Stipend - Support for your health and well-being, whether it's fitness programs or self-care.*
• Lifelong Learning - An education stipend to help you grow and keep learning.
• Retirement - We offer a 401k matching plan to help you plan for your future!

*Benefits may vary based on your country of employment.

$200,000 - $250,000 a year

At LandingAI, you'll help the world's leading enterprises unlock the potential of Agentic AI. You'll work alongside Account Executives, Product, and Engineering to solve complex customer challenges, shape product direction through customer feedback, and help bring cutting-edge AI into production.

While our headquarters are in Mountain View, CA, this role is intended for candidates based in the San Francisco Bay Area who are excited to work in a hybrid/in-office environment and collaborate closely with cross-functional teams.

If you're excited about combining deep technical expertise with customer engagement to help organizations transform how they work with AI, we'd love to hear from you.