P
Pinewood.AI Tech Stack
Automotive retail and OEM intelligence platform replacing legacy dealer systems
Pinewood.AI operates a cloud-based operating system for automotive dealerships and manufacturers, built on .NET/C# with Azure infrastructure and a modern data stack (Databricks, Delta Lake, PySpark). The company is sales-led and scaling: 5 open sales roles against 3 engineering positions signals a customer acquisition phase, while the project list centers on dealership implementations and account expansion rather than product development. The pain points cluster around legacy system migrations — a recurring theme across recruitment, implementation, and operational challenges.
Tech Stack 28 technologies
Core StackWorkable .NET C# SQL Server JavaScript Azure DevOps Visual Studio Zendesk Databricks Python PySpark Azure Data Factory Delta Lake Deel Playwright Cypress Selenium Jira Postman Autotask NET Core Razor Azure Visual Studio Code AWS CDK Dealertrack Azure Blob Storage Parquet
What Pinewood.AI Is Building
◆Challenges
- Transition to automotive intelligence platform
- Commercial risks
- Legacy dms platforms
- Transitioning from legacy systems
- Critical issues
- Adapting recruitment strategies for new markets
- Legacy system transition
- Improving aftersales processes
- Improving implementation approaches
- Streamlining finance processes
▲Active Projects
- Implementing pinewood.ai platform in dealerships
- Multi-year strategic account plans
- Seamless delivery of agreed plans
- Account plans and contract renewals
- End-to-end implementations of pinewood.ai for dealership accounting
- Diversity hiring
- Training finance teams on pinewood.ai
- Train sales teams on platform
- Support go live for new dealerships
- Tax forecasting and provision calculations
Hiring Activity
15 roles · 15 in 30d
Department
Seniority
Company intelligence
