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 $1.9B 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.
Some recent projects involving our engineering team:
- Using LLMs to auto-label data and ingest it to our ETLs
- Supporting Kraken's $1.5B acquisition of Ninjatrader
- Onboarding new clients including a $20B family office and supporting/enhancing their workflows
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 Greater Toronto Area and be willing to travel on a monthly basis to the Bay Area for team offsites.