iBusiness Funding

Pre-sales Engineer

• Own and lead client-facing product demonstrations as the primary responsibility of the role, delivering compelling, tailored demos that drive customer understanding, differentiate the solution, and influence buying decisions
• Partner with Account Executives to support the full sales cycle, with a strong emphasis on demo strategy, execution, and iteration from discovery through close
• Lead technical discovery conversations to deeply understand customer workflows, challenges, and requirements in order to craft highly relevant and impactful demo experiences
• Act as a subject matter expert in designing, customizing, and continuously refining demo narratives, environments, and assets aligned to customer use cases and personas
• Build and execute proof-of-concepts (POCs) that extend demo value into real-world customer scenarios
• Translate complex technical concepts into clear business outcomes for both technical and non-technical audiences, especially within live demo and presentation settings
• Serve as the primary technical presenter in client engagements, driving demos, confidently handling questions, objections, and driving technical validation discussions.
• Support Sales team in responding to RFPs and client questions, incorporating demo-driven insights and solution positioning
• Collaborate with Product and Engineering teams to relay customer feedback gathered through demos and influence roadmap priorities
• Develop and maintain scalable, reusable demo assets, scripts, and solution frameworks to improve consistency and efficiency
• Support onboarding and early-stage customer success as needed to ensure continuity from sale to implementation
• Stay current on industry trends, competitive landscape, and emerging technologies to continuously enhance demo effectiveness and relevance. Differentiate our platform against competitors in live client scenarios.

Pre-Sales Engineer

Analyst

• Support the end-to-end execution of warehouse lines, term debt, ABS/securitizations, forward flow, and other structured funding (as applicable to our platform).
• Build and maintain funding models (borrowing base, advance rates, credit enhancement, triggers/covenants, cash flow waterfalls, sensitivity scenarios).
• Produce lender/investor materials: offering decks, data tapes, portfolio stratifications, performance reporting, and due diligence responses.
• Maintain ongoing reporting requirements for warehouse lines, including recurring lender reporting packages, borrowing base and eligibility tracking, covenant and trigger monitoring, and coordination of periodic deliverables with internal and external stakeholders.
• Coordinate diligence with internal teams (credit, finance, legal, operations, data) and external parties (banks, funds, counsel, auditors, trustees, and rating agencies as applicable).
• Track and analyze portfolio performance and market conditions; help shape pricing, leverage, and structure decisions.
• Help manage ongoing relationships with financing partners by answering requests, delivering reporting, and supporting renewals and upsizes.
• Improve tools and processes (templates, repeatable reporting packages, automation, data quality checks).

Senior Capital Markets Analyst

Machine Learning Engineer

• Design, implement, and optimize document intelligence pipelines that leverage LLMs to extract, interpret, and structure information from unstructured and semi-structured documents (PDFs, images, forms, contracts, etc.)
• Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.
• Collaborate with product managers, data scientists, and software engineers to integrate LLM-based automation into scalable solutions.
• Create and architect Interpreters, Agented Systems Architect and implement document-centric RAG systems, enabling accurate retrieval and reasoning over large corpora of documents
• Develop systems for key-value extraction, table extraction, and entity recognition from complex documents (e.g., invoices, financial statements, contracts)
• Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.
• Work on the customization and fine-tuning of models to optimize performance for specific use cases.
• Develop, test, and deploy LLM-based services in production environments.
• Provide technical leadership and mentorship to other engineers on the team.
• Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.

Pre-Sales Engineer

Senior Capital Markets Analyst

Senior AI/ML Engineer