Senior Solutions Engineer, AI Platform & Geospatial Data
Overview
You will own technical discovery and solution design for Prophetic's largest enterprise prospects. The platform processes billions of geospatial data points across all 50 states, and customers rely on it for million-dollar land decisions. You will bridge sales, product, and engineering, driving proof-of-concept builds and onboarding. This role puts you in the room for strategic deals and directly shapes product roadmap. Prophetic is scaling fast, and your work will define how enterprises adopt AI-native workflows.
What You'll Do9
- 1Lead technical discovery sessions with enterprise prospects to map their workflows and data requirements.
- 2Deliver customized product demonstrations tailored to each prospect's markets, using SQL to query live datasets and showcase platform capabilities.
- 3Answer complex questions about API integration, data coverage, and platform architecture.
- 4Build proof-of-concept configurations and custom demos that demonstrate value for specific customer scenarios.
- 5Support enterprise onboarding by translating customer requirements into platform settings, API integrations, and workflow automations.
- 6Partner with Account Management on technical escalations, data accuracy fixes, and feature requests for strategic accounts.
- 7Collect customer feedback and translate it into product requirements and engineering priorities.
- 8Create technical documentation, integration guides, and solution architecture diagrams using PostGIS and Python tools.
- 9Travel to customer sites for discovery sessions, onboarding, and strategic reviews.
Requirements13
- 15+ years in solutions engineering, sales engineering, or technical consulting at a B2B SaaS company.
- 2Strong technical fluency with APIs, databases, data pipelines, and system architecture.
- 3Proven experience leading technical discovery and delivering enterprise product demos.
- 4Excellent presentation skills for C-suite executives, with clear communication of complex concepts.
- 5Hands-on SQL experience for querying datasets and understanding data quality issues.
- 6Track record supporting complex enterprise sales cycles with multiple stakeholders.
- 7Self-starter who manages multiple customer engagements concurrently.
- 8Daily use of AI tooling for research, demos, and documentation.
- 9Willingness to travel to customer sites as needed.
- 10Preferred: Experience with geospatial data, GIS, or map-based platforms.
- 11Preferred: Background in real estate, construction, homebuilding, or proptech.
- 12Preferred: Experience building API integrations or working with enterprise data warehouses.
- 13Preferred: Familiarity with Python, PostgreSQL/PostGIS, or similar tools.
Salary Insight
Salary not disclosed in listing
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