Senior Software Engineer
Trebellar
Senior Software Engineer
Trebellar
AI-powered corporate real estate decision platform
Trebellar is the AI platform for corporate real estate. Enterprise CRE teams use Trebellar to turn fragmented lease, space, and occupancy data into a single decision-making layer — replacing spreadsheets and guesswork with an AI-native system of record. We're backed by Blossom Capital, with participation from Jack Altman and Semil Shah (Haystack), and we're a small, fast-moving team building category-defining infrastructure for one of the largest, least-modernized categories of enterprise spend.
A Senior Software Engineer as part of a start-up, you will own large chunks of the problems you solve. You can be specialised in a certain layer of the stack, but you are expected to have familiarity with different technologies and programming languages from the database to the browser and everything in between (see below). You will understand the problem you are solving for the customer and proactively contribute with more than just code.
Data ingestion and transformation, database optimisations, API design, and web browsing will be some of the fundamentals in your day to day.
Heavily based on AI and LLMs, you will be designing and implementing LLM flows beyond prompt engineering.
You will work with your product and engineering colleagues as well as with customer success to prioritise and solve new features and customer requests.
Interact with all stakeholders, Trebellar colleagues and customers.
You'll will learn the domain of corporate real estate (you don't need to come from this background)
We seek versatile candidates with expertise in web, databases and LLMs, able to contribute across the stack.
10+ years experience building web applications.
2+ years experience building LLM based applications
You must be able to understand and analyse complex data set, as well as debug complex scenarios.
Familiarity with data ingestion and data processing, ideally both real time, batch and high volume.
You have excellent communication and organization skills. As part of a growing start-up you'll be expected to interact with stakeholders from all departments and diverse backgrounds, technical and corporate real state experts.
You are self driven. Your work will be part of a team, but you are joining a start-up where everybody has a high degree of sufficiency once the main goals are agreed with the team.
Proficiency in typescript and familiarity with the most common javascript/typescript stacks.
Backend/API development skills - A solid foundation and understanding on interacting with backend services.
Good understanding of common systems architecture for data processing.
Familiarity with Cloud/Docker/k8s/... and related DevOps technologies
Fluent in Spanish
A small, high-context team where your ownership is visible and your impact compounds quickly.
Competitive compensation plus employee stock options, giving you a genuine ownership stake in an early-stage business, so you share in what you help build.
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.
Explore more opportunities at Trebellar