Why Rogo?

Rogo will be the biggest Financial Services Artificial Intelligence company in the world. We're creating a category-defining AI company built on top of foundational AI models like GPT-4.

Exceptional early users:

• High-paying contracts with the world's largest investment banks, hedge funds, private equity firms, and consultants.

Massive demand:

• Extensive waitlist of firms waiting for deployment.

World-class team:

• We take talent density very seriously. We like working with incredibly smart, driven people.

Cutting-edge technology:

• Work directly with the world's most advanced LLMs, AI, and RAG to build the future of generative AI and redefine finance.

Challenges:

• We are building systems that can automate the most complex knowledge work in the world, e.g., financial analysis, research, due diligence, and more.
• Creating financial research that's worth paying attention to: aggregating, analyzing, and producing insights from real-time information. Say goodbye to equity research.
• Dealing with the most sensitive data in the world: client data from the largest financial services companies on earth.
• Working past the edge of published AI research: tackling problems beyond the complexity of existing AI benchmarks.
• Unsolved product, architectural, and business problems: natural language interfaces, prohibitively expensive evaluation of models, massive marginal costs, versioning/training/segregating models per task, client, and so on.

As a Data Engineer at Rogo,

you will help build out our 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.

Hard Requirements:

• 3+ years of industry experience as a data engineer
• Highly proficient with Python and SQL, and an intuitive understanding of multi-threading, multi-processing, asyncio, and other concurrency primitives
• Experience with at least one of: Postgres, Snowflake or Elasticsearch
• Experience deploying and monitoring mission-critical ETL pipelines with large and heterogenous datasources
• Experience working with Apache Airflow
• Experience with AWS or other cloud environment

Bonus Requirements:

• Experience with a strongly typed language (e.g., Rust)
• Experience at a hypergrowth startup
• Financial Services work experience
• Experience with stream processing
• Knowledge of Datadog and other Telemetry tooling

You'll fit in at Rogo if...

• You have fun solving hard problems: we're tackling tech/product/business problems that are unsolved. It's super exciting.
• You like to work hard: we feel lucky to work on these problems, and we enjoy pouring our all into solving them.
• You care deeply about talent density: we care deeply about working with people who are super smart and motivated.
• You have eclectic interests: whether you're a sci-fi aficionado, history buff, strategy game guru, policy wonk, or movie trivia expert, you'll find kindred spirits here.

Compensation Range: $120K - $160K