Termina's goal is to accumulate first-party data for all Venture-backed companies in the world.

Private-Markets investment decisions happen in the dark, uninformed, and in many cases without objective systems of measure. We are optimistic that by assembling the world's largest dataset of venture-backed companies, Investors and Executives will dramatically improve their decision making using Termina's Quantitative Diligence.

Termina was incubated as the initial diligence technology at Tribe Capital, a $1.7B venture fund, and is also backed by Sequoia's Scout program, X&, and Trenches Capital. We have largely bootstrapped through our early growth, and we are profitable.

We’re hiring a Senior/Staff Backend Engineer to build scalable systems that model product-market fit and power high-stakes decision-making for top Venture Investors. You’ll tackle the unique challenge of creating infrastructure to ingest all data from all startups. If you’re excited by high-impact, performance-driven engineering, join us to build the future of investing.

An Opportunity to Architect Large-Scale Data and Backend Infrastructure:

• Engineer core pillars of our multi-interface data application from scratch.
• Manage a sophisticated array of data APIs and data infrastructure with an unwavering passion for high-leverage deployment patterns and IAC.
• Create new products leveraging AI and LLMs to unlock new interfaces with, and understanding of, the unique datasets that Termina is accumulating.
• Conceive of and / or implement novel ways of distributed systems management, and high-scale data processing and retrieval.

About You:

• An obsession with automation and getting into the weeds.
• Bulletproof backend software engineering foundations, and perpetually learning new frameworks to unseat the old.
• The ability to make cut-through infrastructure and data processing decisions that scale.
• A Passion for new AI technologies and startups.
• 5-7 years of experience, though we are flexible.

Our Stack Today:

• Python for backend and data processing. Current key frameworks are fastapi, pandas, ray, dagster and sqlalchemy.
• A variety of LLMs in our development process and data processing logic.
• GCP is our main base of operations, utilizing GKE, BigQuery, BigTable, artifacts, and so on.
• “No clicking mentality” with Terraform / terragrunt, Helm, and Skaffold, GitHub actions, Datadog for our CI / CD deployment, lifecycle management, and observability.

Location: Candidates must be located in the San Francisco Bay Area or in the Quebec Province and be willing to travel on a monthly basis to the Bay Area for team offsites.