About LandingAI
LandingAI is building the infrastructure to make the world’s documents computable.
We are an AI-native company transforming PDFs, PowerPoints, JPGs and other unstructured or semi-structured documents and images into structured data that software can understand and act on. Our focus is on the hardest document understanding problems with complex layouts, tables, images, handwriting, charts, photographs and mixed modalities.
Founded by Andrew Ng, LandingAI has brought together some of the strongest AI Engineers and Machine Learning Engineers in the industry, with deep expertise in visual AI, agentic systems, foundation models, and production ML infrastructure.
We build from the ground up where it matters, move fast with the latest AI coding tools and agentic developer workflows, and invest in the compute and technical environment needed to do exceptional work.
Our work is grounded in three core strengths:
Agentic systems built for production. We have been early builders of agentic AI systems and have applied that work in the real world through Agentic Document Extraction (ADE), our platform for parsing, understanding, and extracting information from complex documents with traceability, control, and production-grade reliability.
A data-centric mindset. We bring a rigorous, practical approach to model quality, edge cases, evaluation, and real customer data, because solving document understanding in production requires far more than strong benchmark performance.
A vision-first approach to foundation models. We build from the ground up where it matters, including specialized document models and agentic systems, because solving real document understanding problems requires more than stitching together generic components.
Since launching Agentic Document Extraction in early 2025, LandingAI has grown quickly by bringing a modern, AI-native approach to a legacy intelligent document processing market ready for disruption.
This is a place for builders. If you want to work on real technical depth, move quickly, take ownership, and help define the future of document intelligence, LandingAI is the place to do it.
About the Role
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.
Skills Required
- Be based in the San Francisco Bay Area and work hybrid/in-office in Mountain View.
- Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or related quantitative field.
- 5+ years of experience in a technical pre-sales role supporting enterprise software sales (Sales Engineer, Solutions Engineer, Solutions Architect, FDE, Applied AI Engineer).
- Proven experience leading technical discovery, product demonstrations, executive presentations, whiteboard sessions, and PoCs with Account Executives.
- Outstanding communication and presentation skills for executive and technical audiences.
- Strong understanding of enterprise AI, document processing, LLMs, NLP, multimodal AI, RAG, and 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 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 ability to thrive in a fast-paced startup environment.
- Experience selling or implementing Document AI, Intelligent Document Processing (IDP), OCR, or enterprise document automation solutions.
- Experience with document AI platforms (Instabase, Reducto, LlamaParse, Google Document AI, Azure Document Intelligence, Amazon Textract) or similar.
- Experience supporting customers in Financial Services, Banking, Insurance, Healthcare, or Legal industries.
- Experience building AI agents or agentic workflows using modern LLM tooling.
- Experience with JavaScript, C#, or additional programming languages.
AI Fund Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AI Fund and has not been reviewed or approved by AI Fund.
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Healthcare Strength — Health coverage is portrayed as strong with great healthcare and dental coverage, plus vision insurance, long-term disability, and life insurance. Feedback suggests this aligns with tech-standard benefits for US roles at a small venture studio.
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Retirement Support — Retirement benefits include a 401(k) plan with employer match for US employees. Feedback suggests this forms part of a competitive total package for fund roles.
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Parental & Family Support — Family support includes fully paid parental leave for applicable roles. Feedback suggests this is a standout benefit for an organization of this size.
AI Fund Insights
What We Do
Who is AI Fund? We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock. How Are We Different? We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. Why Work With AI Fund? Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success. We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.
