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 define the technical foundation of Kepler's AI research platform. You'll own the architecture of our most critical systems: backend services that orchestrate AI workflows, data pipelines that process billions of data points, and the infrastructure that financial professionals rely on for million-dollar decisions. You'll set technical strategy, drive cross-cutting initiatives, and elevate engineering quality across the organization.

This role is for engineers who want to shape the technical direction of a company building foundational technology at the intersection of AI and finance, where your architectural decisions directly impact how clients make critical business decisions.

Within your first 90 days, you will:

• Own and deliver a platform-critical system that shapes technical direction

• Establish architectural patterns and standards adopted across the engineering org

• Drive a cross-cutting technical initiative from conception to production

• Build relationships across the company and influence product and engineering roadmap

What You'll Do

• Define system architecture: Design the foundational systems that power the platform. Make high-stakes architectural decisions that determine scalability, reliability, and developer velocity.

• Drive technical strategy: Identify the highest-leverage technical investments. Balance short-term delivery with long-term platform health.

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

• Integrate AI into production: Shape how language models and AI capabilities are deployed across research workflows at enterprise scale.

• Own platform reliability: Set the standard for production excellence. Comprehensive testing, monitoring, deployment pipelines, incident response.

• Elevate engineering quality: Establish best practices, drive code quality, and raise the technical bar across the team.

• Mentor and grow engineers: Technical leadership, architectural guidance, and career development for engineers at all levels.

• Collaborate with leadership: Work directly with founders on technical strategy, hiring, and company direction.

What We're Looking For

• 10+ years of software engineering experience with a track record of technical leadership

• Architecture: Designed and scaled distributed systems handling mission-critical workloads

• Backend: Deep expertise in Python or Node.js, API design, PostgreSQL, AWS

• Data: Large-scale data systems, ETL pipelines, real-time processing

• Technical leadership: Experience setting technical direction, driving cross-functional initiatives, and mentoring senior engineers

• Influence: Ability to align engineering, product, and business stakeholders around technical decisions

• Communication: Can articulate complex technical trade-offs clearly to any audience

• Track record of building and shipping systems that matter

• Thrives with high autonomy and high ownership

• 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 partnership with founders who built Palantir's core systems:

• Weekly 1:1s with founders

• Shape the technical culture and architecture of the company

• Clear path toward principal engineering or engineering leadership

• Build the platform that becomes the ground truth for AI

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.