Senior Solutions Engineer

Senior Solutions Engineer

Remote / Hybrid (Portland, OR HQ)

Competitive Salary plus Equity

Full-time

Real estate development is a multi-billion-dollar industry that has run on fragmented data, manual processes, and gut instinct for decades. Prophetic is changing that. We're building the AI-native platform that enables homebuilders, developers, and investors to find, analyze, and act on land opportunities from a single system — powered by proprietary technologies that process billions of data points across all 50 states.

We are the market leader in our space, and our customers don't just use the product — they love it. We're not making teams more efficient. We're changing how they operate.

Prophetic is scaling fast — demand is outpacing our ability to hire, and we're just getting started. This is a once-in-a-lifetime team: sharp, low ego, deeply collaborative, and obsessed with building the best product in the industry. Come disrupt an industry with us.

As Prophetic scales into the enterprise, our customers need more than a product demo — they need a technical partner who can understand their workflows, configure the platform for their specific use cases, and ensure they realize maximum value from day one. We're looking for a Senior Solutions Engineer to bridge the gap between our product and our most complex enterprise customers.

You'll work at the intersection of sales, product, and engineering. During the sales cycle, you'll lead technical discovery, run customized product demonstrations, answer complex technical questions, and build proof-of-concept configurations. Post-sale, you'll support enterprise onboarding, work with Account Management on technical escalations, and serve as the voice of the customer back to Product and Engineering.

Prophetic's platform processes geospatial data, zoning information, parcel ownership records, and AI-generated insights across all 50 states. Enterprise customers often have unique data requirements, API integration needs, and workflow configurations. You'll be the person who ensures those requirements are understood, scoped, and delivered.

This is a high-visibility, high-impact role. You'll be in the room for our most strategic enterprise deals and directly influence how we win and retain our largest customers.

• Lead technical discovery and solution design for enterprise prospects during the sales cycle.
• Deliver customized product demonstrations tailored to each prospect's markets, workflows, and use cases.
• Answer complex technical questions about platform architecture, data coverage, API capabilities, and integration options.
• Build proof-of-concept configurations and custom demos that showcase platform value for specific customer scenarios.
• Support enterprise onboarding by translating customer requirements into platform configurations, API integrations, and workflow setups.
• Partner with Account Management on technical escalations, data accuracy issues, and feature requests for strategic accounts.
• Serve as the technical voice of the customer — translating field insights into product requirements and engineering priorities.
• Create and maintain technical documentation, integration guides, and solution architecture diagrams for enterprise customers.
• Travel to customer sites for in-person discovery sessions, onboarding, and strategic reviews.
• Leverage AI tooling daily for research, demo preparation, and technical documentation.

• 5+ years of experience in solutions engineering, sales engineering, or technical consulting at a B2B SaaS company.
• Strong technical fluency — comfortable discussing APIs, databases, data pipelines, and system architecture with both engineers and executives.
• Experience leading technical discovery and running customized enterprise product demonstrations.
• Excellent presentation and communication skills — you can command a room of C-suite executives and explain complex concepts clearly.
• Experience supporting complex enterprise sales cycles with multi-stakeholder buying processes.
• Comfort with data — you can write SQL queries, navigate datasets, and understand data quality issues.
• Self-starter who can manage…