The Opportunity

Point Predictive is building a Sales Solution Engineer role from scratch — a high-visibility, high-impact position at the intersection of enterprise pre-sales and AI-powered go-to-market innovation. You will be the technical voice in complex deals with top-tier lenders and the architect of the AI workflows that drive our sales engine.

This is not a support role. You will own the technical narrative for enterprise deals with major auto lenders, banks, credit unions, and fintech platforms. You will also design and deploy AI-driven tools that make our sales team faster and more effective — from first outreach through close.

If you build things with AI, love live demos, and want to see your work directly drive revenue at a fast-growing fintech company, read on.

Why Point Predictive

• 650+ enterprise customers — top-tier market leaders in auto, bank, credit union, and fintech
• $5 trillion in proprietary loan origination data — unmatched risk intelligence in the lending industry
• Proven outcomes: lenders cut fraud losses 40–60% and auto-approve up to 80% of qualified applications
• Fast-growing AI company — clear market position, strong product-market fit, expanding customer base
• High-impact SE role — you are in every major deal, influencing outcomes from discovery to close
• In-person team culture — collaborative San Diego HQ with speed, low bureaucracy, and direct leadership access

What You Will Do

Pre-Sales (50%)

You are the primary technical resource in every enterprise deal — equally comfortable presenting ROI to a C-suite room and working through API integration details with a customer’s engineering team, sometimes on the same call.

• Demo mastery: deliver compelling product demonstrations that translate fraud detection AI, risk scoring models, and consortium data benefits into clear business ROI for lending executives
• Technical discovery: lead structured discovery sessions to understand customer workflows, integration requirements, data environments, and success criteria
• POV execution: run Proof of Value engagements end-to-end — secure retro loan data, build results analyses, construct ROI business cases, and present findings to C-suite stakeholders
• Objection handling: own technical responses to security questionnaires, RFP/RFI requirements, and complex product objections with confidence and precision
• Deal partnership: collaborate directly with Account Executives from qualification through close on every enterprise opportunity
• Persona-aware storytelling: adapt demo narratives and discovery questions for each buyer persona — the Risk Officer who cares about fraud catch rates, the VP of Lending focused on approval rates and cycle time, the CTO evaluating integration architecture, and the CFO who needs a defensible ROI number before signing
• Competitive positioning: maintain deep, current knowledge of the competitive landscape; know precisely how Point Predictive’s approach outperforms alternatives and be the team’s authoritative resource for winning technical evaluations, displacement conversations, and head-to-head bake-offs
• Demo environment ownership: own and continuously improve live demo environments, sandbox configurations, and representative data sets so every demonstration is polished, accurate, and reflects our most compelling current capabilities — no “broken demo” situations on your watch

Sales Enablement & AI Innovation (50%)

The other half of this role is building the systems and tools that make the entire revenue organization smarter and faster. This is where your builder instincts and AI skills come into full play — you will design, deploy, and train the team on the workflows, content, and intelligence that give Point Predictive a go-to-market edge at every stage of the funnel.

• AI tooling: design, build, and deploy AI-powered tools into the go-to-market engine — prospecting intelligence, outreach personalization, demo prep, competitive battlecards, and more
• Team enablement: train and enable the full sales team on new AI capabilities; be the team’s go-to resource for applied LLM workflows
• Integration expertise: develop and maintain deep expertise across all integration partner platforms (DMS, LOS, API ecosystems) and serve as the authoritative resource for how customers interact with our products
• Product feedback: close the loop between what you hear in technical discovery and what the product team builds next
• Customer onboarding: support technical kickoffs and implementation hand-offs for new enterprise customers
• Win/loss debrief: conduct structured win/loss reviews after every major deal — win or lose — to extract repeatable patterns, sharpen competitive positioning, and update the technical sales playbook so the whole team benefits from what you learn in the field
• Technical content library: build and maintain a living library of sales assets: demo scripts, integration architecture guides, security and compliance FAQs, ROI calculator models, and competitive tear sheets that the full sales team can self-serve at any stage of a deal
• Sales intelligence: use AI tools to analyze call recordings, surface winning conversation patterns, identify where deals stall, and generate coaching insights that continuously raise the technical floor across the entire sales organization

What You Bring

Required

• 2+ years as a Solutions Engineer, Sales Engineer, Pre-Sales Engineer, or Technical Account Manager
• Hands-on AI/LLM experience — not just using tools, but building: workflows, automations, or agents with tools such as ChatGPT, Claude, Cursor, n8n, Zapier AI, or similar
• Proven ability to run live product demos and POCs for complex enterprise B2B software
• Strong technical communication: you can explain a machine learning model to a VP of Lending and make it land
• API and integration fluency: comfortable with REST APIs, webhooks, and technical discovery for software integrations

Strongly Preferred

• Fintech or financial services background: lending, auto finance, banking, fraud detection, or credit risk
• B2B SaaS experience with enterprise deal sizes of $100K+ ACV
• Familiarity with lending infrastructure: loan origination systems (LOS), dealer management systems (DMS), or credit underwriting workflows
• Sales enablement content creation: ROI models, battlecards, demo environments, technical one-pagers
• RFP/RFI experience: supporting security questionnaires and compliance requirements for enterprise buyers

About Point Predictive

Point Predictive is an AI company on a mission to eliminate fraud in the lending ecosystem. Our technology helps banks, auto lenders, credit unions, and finance companies identify which borrowers are misrepresenting information on loan applications — enabling smarter, faster lending decisions.

We serve more than 650 customers and have built a proprietary risk intelligence platform from over $5 trillion in historic loan originations. Our clients are the most sophisticated lenders in the auto, bank, credit union, and fintech markets. Our solutions deliver proven results at enterprise scale: up to 80% auto-approval rates on qualified applications, with fraud detection that traditional methods miss entirely.

We are a focused, fast-moving team headquartered in downtown San Diego. This role is in-person — we believe great work happens in the same room, and our culture reflects that.

Job Type: Full-time

Pay: $130,000.00 - $140,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: In person