Senior Sales Engineer

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.

Requirements

• 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-Haves

• 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.