Aifund
Senior Sales Engineer
Mountain View, CA · Senior
Sponsorship not specified$200k-$250kDetected 20 hours ago
JavaScriptPythonC#GitSnowflakeAWSGCPAzureDockerKubernetesMachine LearningNLPLLMsRAGAgentic AIMLOpsSalesCustomer SuccessLeadershipCommunicationProblem SolvingPublic Speaking
About the role
- 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.
- Provide structured customer feedback to Product and Engineering, helping shape the future direction of the ADE platform.
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.
- 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.
- Partner with ISVs, OEMs, and System Integrators to build industry-specific AI solutions and expand the ADE ecosystem.
Requirements
- 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.
- Strong understanding of enterprise AI, document processing, LLMs, NLP, multimodal AI, RAG, or agentic AI.
- 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.
- Outstanding communication and presentation skills, with the ability to explain complex AI concepts to both executive and highly technical audiences.
- Familiarity with enterprise sales methodologies such as MEDDIC.
Nice to have
- Experience with document AI platforms such as Instabase, Reducto, LlamaParse, Google Document AI, Azure Document Intelligence, Amazon Textract, or similar technologies.
- Deep understanding of OCR, schema-based extraction, multimodal AI, RAG, and agentic AI frameworks.
- Experience with JavaScript, C#, or additional programming languages.
- 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.
- 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.
Skills
- About LandingAI
- 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.
Compensation
- $200k-$250k
Benefits
- Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or a related quantitative field.
Company info
- 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.
- Lead technical evaluations and Proofs of Concept (PoCs), helping customers validate both business value and technical fit.
- 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.
This listing is sourced directly from Aifund's careers page and normalized into a canonical job model.