Sr. Forward Deployed Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

Sr. Forward Deployed Engineer

Reposted 14 Hours Ago
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New York City NY USA
In-Office
250K-300K Annually
Senior level
Fintech • Software
Probably right is not provably right. Kepler builds the trust layer of AI that proves it's right.
The Role
As a Sr. Forward Deployed Engineer you will architect custom AI solutions for financial clients optimize platform performance and drive product innovation directly in the field with clients.
Summary Generated by Built In

Kepler: AI you can trust and verify.

Every AI tool has the same flaw: the model touches the data. It guesses numbers fabricates sources and gives you a different answer every time you ask. For the people making million-dollar decisions that's not a feature gap. It's a dealbreaker.

We built the architecture that makes hallucination structurally impossible. AI interprets your intent. Deterministic code retrieves every figure from source documents. The model never produces a number so it can't get one wrong. Every output traces to a filing a page a line item. Every calculation shows its formula. Every answer is defensible.

Live in production. 950K+ SEC filings. 14K+ companies. 40M+ documents. 27 global markets. Trusted by firms that don't get to be wrong.

The architecture is domain-independent. Finance is first because the pain is sharpest. Healthcare legal insurance are next. Same system new data sources. We're not building a finance product. We're building the verification layer for the entire AI stack.

Founded by Vinoo Ganesh (7 yrs Palantir Head of Business Engineering at Citadel) and Dr. John McRaven (11 yrs Palantir created the analytics engine behind $100M+ contracts with BP and Airbus Ph.D. Physics). Backed by the founders of OpenAI Facebook AI Research MotherDuck dbt and Outerbounds.

The Role

As a Sr. Forward Deployed Software Engineer at Kepler 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 our 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 our 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 Python/TypeScript with experience in distributed systems data pipelines and API development.

  • Enterprise integration / data integration expertise: Experience with SSO/SCIM RBAC database integrations and enterprise security requirements.

  • Communication and presentation skills: Comfortable presenting to C-level executives and technical teams alike.

  • Travel flexibility: Willingness to travel regularly (30-50%) for on-site client engagements from our NYC HQ.

Nice-to-haves

  • Financial services exposure: Previous experience working with financial firms or familiarity with research workflows.

  • Data platform experience: Background with large-scale data processing ETL pipelines or analytics platforms.

  • Rust development experience.

  • Startup experience where you owned features end-to-end.

Don't check every box? Apply anyway. We prioritize speed of learning problem-solving skills client empathy and drive to transform how financial research works.

Mentorship & Growth

You'll be directly mentored by engineers who built Palantir's core systems. Expect:

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

  • Deep architectural reviews and guidance on agent system design

  • Clear growth path toward technical leadership and system ownership

  • Learn by building—production agentic systems that power real financial research

At Kepler mentorship accelerates strong systems engineers into exceptional technical leaders.

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 Technical Stack
  • Frontend: React Typescript Vite Tailwind Radix TanStack Zustand

  • Backend: Rust Node.js Python PostgreSQL Redis

  • AI/ML: OpenAI Anthropic MCP SDK

  • Infrastructure: AWS (S3 RDS) Docker Temporal Kubernetes Dataflow

  • Tools: Git GitHub Pulumi Auth0 SharePoint

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 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.

Top Skills

Apache Airflow
AWS
Datadog
Docker
Kafka
Kubernetes
Postgres
Python
React
Redis
Rust
Tailwind
Typescript
Vite
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The Company
New York New York
6 Employees
Year Founded: 2025

What We Do

AI is great at understanding what you're asking. It's terrible at giving you answers you can trust. Kepler built a platform that separates what AI does well from what code does well where AI handles the conversation code handles the truth. The result is the first AI system that can show its work.Kepler automatically ingests scattered data structures it into a unified platform and deploys AI agents that conduct deep research with full transparency. Every insight traces to its source. Every conclusion reveals its reasoning. Kepler is starting in finance where being wrong costs millions and speed wins deals but is building the foundational data layer for the AI era applicable anywhere decisions depend on trustworthy data.

Why Work With Us

Kepler isn't another AI wrapper. The team solves problems everyone else is still throwing more compute at: making it architecturally impossible for the system to give an answer it can't source. Kepler was founded by ex-Palantir engineers who built data infrastructure for the world's most demanding organizations. Deep problems small team.

Kepler Offices

OnSite Workspace

Kepler is an in-person team. The best work happens when teams are in the same room solving hard problems together. That said employees are empowered to work from home when they need to. We're based in New York City.

Typical time on-site:
New York New York

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Date Posted

04/07/2026

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