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Trebellar

AI-powered corporate real estate decision platform

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 10 years of experience, including at least 5 years demonstrating data ingestion and manipulation, such as ETL and import/export API design and implementation.
  • Ability to understand and analyze complex datasets and debug complex scenarios.
  • Experience with high-volume data ingestion and data processing, ideally in both real-time and batch contexts.
  • Proficiency in TypeScript and familiarity with common JavaScript and TypeScript stacks.
  • Backend and API development skills, including a solid foundation in interacting with backend services.
  • Good understanding of common systems architecture for data processing.
  • Familiarity with cloud technologies, Docker, Kubernetes, and related DevOps technologies.

Responsibilities

  • Own data ingestion and analysis for customers, adapting to their complex needs.
  • Serve as a main point of contact and bridge between customer technical teams and Trebellar's core engineering teams.
  • Work closely with a Forward Deployed Consultant and the product team to scope, build, implement, and deliver customer features.

Desired Qualifications

  • Experience with high-volume data ingestion and data processing in both real-time and batch contexts is preferred.

About the Company

Trebellar

AI-powered corporate real estate decision platform

Trebellar builds an AI-native system of record and decision-making platform for corporate real estate teams. It aggregates leases, space, headcount, costs and utilization data from spreadsheets and PDFs into a single live portfolio view and enriches it with context like commute times and team sentiment. AI agents explain why each real estate decision was made, whether it held up, and what to do next by tracking outcomes over time. The platform differs from traditional tools by tying together data, external context, and decision provenance at enterprise scale, emphasizing traceability and AI-assisted reasoning. The goal is to help large organizations optimize real estate portfolios, improve decision quality, and expand adoption across enterprises through stronger AI capabilities and broader go-to-market efforts.

Company size
11-50
Company stage
Series A
Total funding
$21.5M
Headquarters
San Francisco, CA
Founded
2022

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