Forward Deployed Engineer
Forward Deployed Engineer embedding with enterprise financial clients to deploy, customize, and scale AI research workflows while building core platform features. Requires 3-5 years full-stack experience, client-facing technical roles, and 30-50% travel from NYC HQ.
About the job
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.
Requirements
- 3 - 5 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.
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
- 100% covered top-of-the-line medical, dental, and vision insurance for employees and their families. HSA maxed by the company to the IRS limit.
- Automatic coverage for life, AD&D, and disability insurance.
- Daily lunch in office.
- Unlimited PTO policy.
- Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need.
- "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.
Skills
Python, TypeScript, Node.js, Rust, Postgres, Redis, AWS, Docker, Kubernetes, Kafka, Apache Airflow, Temporal, Datadog, Git, GitHub Actions
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