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Sr. Forward Deployed Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Kepler AI (formerly Keru.ai)
Full Time position
Listed on 2026-05-14
Job specializations:
  • Software Development
    AI Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

About Kepler

Kepler is building a transparent and intelligent deep-research platform

Financial professionals spend 60-70% of their time manually gathering and consolidating data in a $26.5 trillion industry where speed and accuracy directly impact outcomes. The research landscape has fragmented into dozens of specialized systems — analysts toggle between platforms for financials, transcripts, market data, and macro indicators, reviewing hundreds of documents across disconnected sources for a single investment thesis.

Generic AI tools promise efficiency but fail the trust test. They hallucinate data, confabulate reports, and provide insights without showing their work, forcing analysts back into manual verification. In an industry where being wrong costs millions, opacity isn't acceptable.

Kepler solves this by automating research while maintaining the accuracy and traceability financial decisions demand. The result: faster decisions, deeper analysis, and a competitive advantage where synthesizing information more thoroughly than competitors translates directly to performance.

Kepler was founded by two Palantir veterans with 20 years of combined experience building core parts of Palantir's Gotham and Foundry Platform. 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, Mother Duck, DBT, and Outerbounds.

The Role

As a Sr. Forward Deployed Software Engineer at Keru, you'll be the technical architect of our most strategic client relationships. You'll work directly on-site with our lighthouse customers, sophisticated financial firms and research organizations. to deploy, customize, and optimize Keru's AI-native research platform for their specific workflows and requirements.

This is the engineering role that lives our core principle: "Forward-Deployed with Product DNA." You'll embed directly with clients to own their outcomes while simultaneously building the platform that serves the entire market. Your code decisions can impact million-dollar research outcomes.

Within your first 90 days, you will:

  • Rapidly build and develop vertical apps on top of Keru.ai’s core platform.

  • Engage with Portfolio Managers at institutions with 10B+ AUM to scope and build workflows.

  • Develop deep expertise in agentic tooling, products, and technologies.

  • Own a customer engagement end-to-end.

This is the right role if you want to build the future of financial research while working directly with the world's most sophisticated analysts with guidance from engineers who've scaled enterprise platforms from zero to global adoption.

What You'll Do
  • Engineer solutions at client sites: Deploy and customize AI research workflows directly where critical financial decisions happen, rapidly prototyping solutions that push our platform's boundaries.

  • Drive product innovation from the field: Identify technical gaps while embedded with clients, then architect and implement new capabilities that become core product features.

  • Build enterprise integrations: Design complex integrations with client data infrastructure, research tools (Bloomberg, CapIQ), and proprietary trading systems.

  • Optimize platform performance: Scale our AI platform for client-specific use cases, solving complex performance challenges in real-world research environments.

  • Bridge field and product: Rotate between forward deployed work and core platform development, bringing field insights directly into our technical architecture.

  • Own critical deployments: Ensure our platform performs reliably for clients' most critical research operations, debugging issues across the full stack.

What We're Looking For

Must-haves

  • 5-8 years of software engineering experience with a track record of deploying complex systems in enterprise environments.

  • Client-facing technical experience: Previous role as Forward Deployed Engineer, Solutions Engineer, or similar position working directly with enterprise customers.

  • Full-stack development skills: Strong capabilities in…

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