GovernGPT Expands Engineering Team with Backend Hire for AI-Powered Asset Manager Fundraising Platform

GovernGPT, a Winter 2024 Y Combinator batch company, has opened a role for a Backend Engineer on its Thinking Systems team, as the Montreal-based startup scales the technical infrastructure behind its AI agents that automate critical fundraising workflows for asset managers.

The startup targets a persistent, high-cost pain point in institutional finance. Asset managers, responsible for allocating trillions of dollars in global private capital, spend thousands of hours each year responding to requests for proposals (RFPs) from institutional investors. These documents are mandatory for raising new capital or updating existing investors, requiring detailed data on fund performance, compliance history, fee structures, and investment strategy. A single RFP can pull from dozens of internal systems, with tight deadlines and zero tolerance for errors, as mistakes can lead to lost mandates worth tens of millions of dollars in management fees. Industry data shows large asset managers spend an average of 2,400 hours per year on RFP responses, at an annual cost of over $1.2 million per firm.

GovernGPT’s platform replaces this manual work with purpose-built AI agents. The system uses large language models (LLMs) paired with coding agents, knowledge graphs, and metadata-enriched databases to process, structure, and generate RFP responses. Unlike generic AI writing tools, the platform integrates directly with asset managers’ existing fund data, enforces compliance rules specific to institutional investing, and produces outputs that Tier 1 global funds already rely on for daily decision-making. The startup is profitable, a rarity for early-stage YC companies, and counts some of the world’s largest asset managers as active users managing billions of dollars in committed capital.

Founded in 2023, GovernGPT has grown to a team of 6, all engineers, with a flat, autonomous structure that allows individual contributors to pivot to focus areas including knowledge graph development, asynchronous document ingestion, and novel LLM interface design. The startup’s long-term goal is to reshape how institutional capital is allocated, by reducing administrative burden on asset managers and speeding up the flow of accurate information to investors across the $20 trillion global private capital market. More details on the company are available on its Y Combinator profile, part of the Winter 2024 YC batch.

The startup’s technical stack includes Python with FastAPI, PostgreSQL, Kubernetes on AWS, large language models, and coding agents. The open Backend Engineer role sits on the Thinking Systems team, which focuses on the reasoning and data layers of the platform. GovernGPT’s technical stack is built around three core pillars, reasoning systems that drive LLM logic, a metadata-enriched database that stores structured fund and investor data, and user-facing interfaces for asset management teams. The hire will work directly with co-founder and CTO Oliver Walerys to own the database pillar, which underpins the reliability and accuracy of all AI outputs.

Responsibilities include architecting backend services for document preprocessing, designing novel data models that enable advanced reasoning, maintaining secure interfaces for coding agents and other service layers, and managing production reliability via Kubernetes on AWS. The role also involves contributing to automated infrastructure for testing, preview environments, and safe agent operation under security constraints. Candidates need 1+ years of experience taking production systems from development to deployment and iteration, with skills in Python, PostgreSQL, Kubernetes, Nginx, Docker, and either natural language processing or prompt engineering.

Compensation ranges from $115,000 to $175,000 CAD, plus 0.25% to 0.75% equity, with the role based full-time in the company’s Old Port Montreal office. The team requires daily in-person overlap for collaboration, culture building, and informal problem-solving. The interview process includes a phone screen, a project show-and-tell, an on-site design session with the CTO, and a final interview with co-founder Mamal Amini.

GovernGPT’s all-engineer team operates with high autonomy, with each member able to shift focus to areas of interest as the company scales, from scaling knowledge graphs to experimenting with new LLM fine-tuning methods. The startup emphasizes first-principles thinking in hiring, asking candidates to share unique skills, unconventional career moves, and perspectives on the future of engineering, rather than following standard resume screens.