A hedge fund analyst covering therapeutics has to watch hundreds of companies at once: press releases, SEC filings, management calls, updates on government sites, clinical data publications. Obi9 ingests all of it and surface what matters. Hedge funds pay for it today.
We are early and the team is small, so you would own entire surfaces of the product rather than pick up tickets:
- Ship full-stack features end to end, from the data model to the interface.
- Build the ingestion and enrichment pipelines that turn raw data into rich insights and alerts.
- Work on AI-backed features, from ideation to serving them in the webapp and over MCP.
- Make heavy data legible: dense tables, financial charts, document viewers, a live alert stream.
Stack: React + TypeScript, Node, Elixir, Python, distributed AI pipelines.
Beyond full-stack ability we want someone who already understands one of these worlds. One is enough, we are not asking for all four:
- Financial information systems. Bloomberg, FactSet, AlphaSense, Capital IQ, PitchBook. You know what entity resolution, identifier mapping and point-in-time data cost to get right.
- Financial domain knowledge in healthcare. Equity research, valuation, or time spent living inside filings and models.
- Audio and transcription. OtterAI Deepgram, AssemblyAI, Whisper. Diarization, speaker attribution, turning messy call audio into something quotable.
- AI-intensive products where the pipeline IS the product. Legal AI, document intelligence, medical coding. You know what evals, grounding and extraction schemas that hold actually cost.
Minimum: 5+ years building production web applications, a technical degree, fluency with current AI tooling, and eight continuous hours inside the 8:30am to 5:00pm ET window.