About Kepler

Kepler is building the ground truth platform for AI.

AI is great at understanding what you're asking. It's terrible at giving you answers you can trust. Generic tools hallucinate data, confabulate reports, and provide insights without showing their work. In finance, where being wrong costs millions, that's not acceptable.

We solved this by making accuracy the only possible outcome. Every answer traces to its source. Every calculation is reproducible. Every insight can be defended with complete confidence. The result: faster decisions, deeper analysis, and a competitive edge where synthesizing information more thoroughly than competitors translates directly to performance.

We're starting in finance and building the foundational data layer for anywhere decisions depend on trustworthy data.

Founded by two Palantir veterans with 20 years of combined experience building core parts of Gotham and Foundry. Our founders created Palantir Quiver, the analytics engine behind $100M+ enterprise deals with BP and Airbus, architected core compute and data systems, led major Department of Defense projects, and served as Head of Business Engineering at Citadel.

We're backed by founders of OpenAI, Facebook AI, MotherDuck, dbt, Outerbounds, and others.

The Role

You'll build the core platform that powers Kepler's AI research experience. You own the full stack: React interfaces that financial professionals rely on for critical research, backend systems that process billions of data points, and AI workflows that power million-dollar investment decisions.

This role is for engineers who want to build foundational technology at the intersection of AI and finance, where your code directly impacts how clients make critical business decisions.

What You'll Do

• Build the frontend: Sophisticated React/TypeScript applications for complex data visualization, AI-powered insights, and seamless workflows. Modern design systems, Tailwind CSS.

• Build the backend: Scalable services that orchestrate AI workflows, manage data pipelines, and integrate with enterprise financial tools.

• Own features end-to-end: Design to production. React components, backend services, database optimization, deployment, monitoring.

• Integrate AI into production: Language models and AI capabilities powering intelligent research workflows that augment human decision-making.

• Build enterprise data integrations: Ingest and normalize data from scattered sources: public filings, earnings transcripts, market data feeds, research reports. Build robust pipelines that transform fragmented data into a unified platform.

• Optimize performance: React rendering, bundle size, database queries, API response times. The full stack.

• Ship with production excellence: Comprehensive testing, monitoring, deployment pipelines. You own reliability for what you build.

What We're Looking For

• 7+ years of full-stack development experience shipping production applications at scale

• Frontend: Advanced React, TypeScript, Tailwind CSS, state management, testing frameworks

• Backend: Node.js or Python, API design, PostgreSQL/MongoDB, AWS/GCP

• Architecture: Experience designing complete systems from database schema to component hierarchies

• Enterprise: Auth systems, RBAC, security requirements

• Data: Large datasets, visualization, analytics pipelines

• Practices: Git workflows, CI/CD, automated testing

• Strong communicator who can discuss technical trade-offs clearly

• Product mindset: user-focused, iterates on feedback, solves real problems

• Thrives in fast-paced environments across the full stack

• Financial services experience preferred but not required

Don't check every box? Apply anyway. We prioritize problem-solving ability, systems thinking, and drive to build transformative agentic infrastructure.

Mentorship & Growth

Direct mentorship from engineers who built Palantir's core systems:

• Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems

• Deep architectural reviews and guidance on system design

• Clear growth path toward technical leadership and system ownership

• Learn by building production systems that power real financial research

Our Technical Stack

• Backend: Python, Node.js, Rust, PostgreSQL, Redis

• AI/ML: OpenAI/Anthropic/OpenRouter Vector Databases

• Infrastructure: AWS, Docker, Temporal, Kubernetes, Kafka, Apache Airflow

• Monitoring: Datadog,

• Tools: Git, GitHub Actions, Pulumi
  

Benefits

• Comprehensive medical, dental, vision, 401k, insurance for employees and dependents

• Automatic coverage for basic life, AD&D, and disability insurance

• Daily lunch in office

• Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need

• Unlimited PTO policy

• "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked

• Learning budget - attend any conference, course, or program that makes you better at what we're building
  

Our Operating Principles

• Forward-Deployed with Product DNA: We own customer outcomes while building a product company. That means embedding, iterating, and deploying where our customers are. We don't win if they don't win.

• Extreme Ownership: Big vision, shared ownership. If you notice a problem, you own it. Authority comes from initiative, not job titles. Once you step up, you're accountable for the outcome.

• Production-First Engineering: We design for critical workloads from day one. Durable execution, blue/green deploys, automated rollbacks, continuous delivery with end-to-end observability. Every change lands safely and stays resilient under real-world load.

• Trust as the Default: People do their best work when confidence is mutual. We show our work, keep our promises, and flag risks before they bite. Trust isn't an aspiration. It's the baseline.

• Keep Raising the Bar: We block time for training, code-health sprints, and deep-dive tech talks. A sharper team and a cleaner stack pay compounding dividends. Continuous learning isn't a perk. It's part of the job.

Kepler AI is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.