T

Trebellar

AI-powered corporate real estate decision platform

Senior Software Engineer

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

About the Job

Requirements

  • At least 10 years of experience building web applications.
  • At least 2 years of experience building applications based on large language models.
  • Ability to understand and analyze complex data sets and debug complex scenarios.
  • Familiarity with data ingestion and processing, ideally in real-time, batch, and high-volume 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.
  • Fluency in Spanish.

Responsibilities

  • Own substantial parts of the problems being solved and contribute beyond writing code by understanding customer problems.
  • Handle data ingestion and transformation, database optimization, API design, and web browsing.
  • Design and implement large language model flows beyond prompt engineering.
  • Work with product and engineering colleagues and customer success to prioritize and solve new features and customer requests.
  • Interact with stakeholders, colleagues, and customers.
  • Learn the corporate real estate domain.

Desired Qualifications

  • Expertise in web technologies, databases, and large language models, with the ability to contribute across the stack.
  • Experience with both real-time and batch data ingestion and processing, ideally at high volume.

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

Recently Posted Jobs

Explore more opportunities at Trebellar

See more jobs