Pryon

Engineer

• Deliver proof of value: Design, build, and deliver proof of value through technical integration between Pryon’s platform and partner technologies.
• Experimentation: Proactively "sandbox" and test emerging partner technologies to find new ways to enhance Pryon’s core value proposition.
• Technical Evangelism: Create reference architectures, technical blog posts, speak at events, and developer documentation to enable partners to build with Pryon.
• Collaborate with R&D: Act as a feedback loop between the partner ecosystem and our internal Product/Engineering teams, ensuring our roadmap is informed by the latest industry shifts and partner needs.
• Solution Architecting: Work alongside the GTM team to architect technical solutions that leverage partner capabilities and Pryon.

Partner Engineer

Financial Planning and Analysis

• Manage complex models within the company’s financial model, including monthly and quarterly forecasting, budgeting, and long-range planning delivering accurate and timely projections
• Build and own data pipelines and KPI reporting infrastructure across Snowflake, DOMO, Rillet, and Excel
• Assist in financial planning processes as the key FP&A partner to our Head of Finance and team leaders
• Produce variance analysis with clear, actionable commentary that drives departmental accountability
• Own department-level budget vs. actual reporting and lead Monthly Operating Reviews with department heads
• Maintain and improve SaaS metrics reporting: ARR, MRR, churn, expansion, renewal rates, and unit economics
• Prepare materials for senior leadership, investor relations, and our Board to communicate financial performance
• Conduct deep-dive analyses on compute expense, vendor spend, unit economics, and other strategic priorities
• Work with departments to ensure data accuracy and reconcile discrepancies; metric definitions and logic stay with Finance leadership
• Support annual operating plan development and long-range planning cycles
• Coordinate GL bucketing and mapping recommendations with Finance Manager
• Aid in Month-End-Close process

Manager, Financial Planning & Analysis

Product Manager

• Own the NL2SQL initiative in close partnership with Research, laying the foundation for how structured data is ingested, productized, and scaled across the platform
• Ensure core generative and RAG services are portable-ready, scalable, and designed to operate across deployment environments
• Partner closely with our orchestration tool to ensure seamless compatibility, and extensibility across agent workflows
• Define how we operationalize MCP (Model Context Protocol) to enable reliable, composable agentic workflows
• Own the health, reliability, and evolution of our underlying RAG and generative services, including quality, performance, and long-term extensibility
• Act as the connective tissue across Research, Platform, and Applications to unblock and accelerate customer-facing AI experiences
• Provide clear ownership and direction for platform capabilities that all downstream AI products and customer experiences depend on
• Lead agile ceremonies including refinement, roadmap reviews, sprint planning, and stand-ups
• Ensure on-time delivery of product features, enhancements and improvements
• Define use cases, set requirements and acceptance criteria for features, utilizing an iterative approach to allow for measurement of success and adoption, and prioritization of enhancements
• Own your roadmap and set prioritization for feature delivery from technical teams by synthesizing market research, customer and prospect data, customer needs, and internal/external stakeholder expectations
• Demonstrate full knowledge of the development process in your area of focus and at times be a key contributor and mindful guide to engineers and scientists on the team
• Interact with customers and market thought leaders to develop a deep understanding and define product requirements and best practices for an enterprise business problem
• Author product specifications, inclusive of use cases, and activity flow diagrams; identify data sources, analytics, reporting, and integration requirements
• Collaborate with engineering, data science, and other support teams such as user experience, QA, and documentation to create exceptional solutions

Partner Engineer

Manager, Financial Planning & Analysis

Product Manager, Generative AI