💰 $150,000 - $300,000 🌍 San Francisco, California 📅 09/26/2023
ApplyApply here About Fintool is a AI Equity Research Copilot for institutional
investors. It’s a LLM on top of financial documents, starting with SEC
filings. Fintool is engineered to discover financial insights beyond the reach
of timely human analysis or search software. You can try Fintool on our
website. Fintool is backed by Y Combinator as well as entrepreneurs such as
the co-founders of Datadog, Vercel, HuggingFace or domain experts from OpenAI
to Deepmind. Team Nicolas Bustamante: spent 7 years building one of the
largest AI-driven legal search engines (Bloomberg for lawyers). Nicolas hired
nearly 200 people, secured millions of dollars in debt and equity funding, and
the profitable business was successfully acquired by Summit Partners, a $43B
billion growth equity fund, for $x00M+ Edouard Godfrey: worked for nine years
at Apple, leading teams of data scientists and engineers. He worked on Apple
Search (Spotlight) and Apple Pay, maintaining big data pipelines and deploying
cutting-edge AI models. He received the 2019 Apple Pay Innovation Award for
outstanding contributions and fresh insights. Our philosophy Small team: small
in-person teams outperform large and well-funded companies. When people visit
our office, they should be surprised by how few people we are. Ship code: we
avoid meetings, PM jargon to release early, release often, and listen to
customers. In-person: we believe high-performing teams do their best work,
build long-term relationships, and have the most fun in person. Company Values
Clone and improve the best: we're not about reinventing the wheel but about
enhancing proven success. We are shameless cloners who stand on the shoulders
of giants. We draw inspiration and then create differentiation because
distinctiveness drives dominance. Release early, release often, and listen to
your customers: speed matters in business, so we push better-than-perfect
updates for customers asap. Mastery comes from repeated experiments and
learning from mistakes rather than putting in a set number of hours. It’s
10,000 iterations, not 10,000 hours. Warren Buffett: We model our personal and
professional ethos on the principles he exemplifies. Upholding integrity,
valuing honesty, practicing frugality, championing lifelong learning,
embracing humility, extending generosity, applying rationality, and
demonstrating patience. Every day, we strive to mirror these Buffett-inspired
virtues. Job Desc We are building real-time data pipelines for millions of
unstructured financial documents to feed our financial LLM. It’s cutting-edge
data engineering at the AI frontier. Tech stack: Spark/Databricks, Python,
Elastic, Postgres and LLM. Knowing React, Next.js, and TypeScript is a plus.
Experience: 5+ years of deploying production code at a company with a large
infrastructure. Location: San Francisco Contract: Full-time Apply here
