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About the Role
You will engineer the systems powering the core agentic research layer, the automated trading system, and the world's best data registry for alpha research. As a member of the founding team, you'll directly impact every level of the business, from product strategy to team culture.
Responsibilities
- Stand up core infrastructure from scratch: experiment execution environments, compute orchestration, storage, observability, and the deployment pipeline that moves research into production
- Build the tooling that agents depend on: sandboxed code execution, data access layers, backtest engines, and interfaces that make agents productive rather than dangerous
- Own reliability in production. Design the monitoring, alerting, and failure recovery for systems where mistakes cost real money
- Make data a first-class product: ingestion from messy vendor feeds, validation, versioning, point-in-time correctness, and fast discovery for both humans and agents
- Establish the engineering practices of an AI-native codebase: harnesses, evals, CI, and review processes that let generated code ship fast without rotting the system
- Work directly with researchers and quants, shortening the loop from idea to running experiment to deployed strategy
Requirements
- 2-5 years of experience building and shipping at an early-stage tech startup (ideally in AI or fintech, especially trading or investments) or at a quant fund
- Strong track record building production systems: distributed pipelines, data platforms, low-latency services, or infrastructure for ML and agentic workloads
- You use AI heavily in your own work and have formed opinions from it.
- You know where generated code is leverage and where it's liability, and you can articulate how a small team keeps a fast-growing codebase coherent
- You default to shipping. Given ambiguity, you produce a working system and iterate, rather than waiting for requirements to firm up
- Low ego, high standards, fast execution
Skills
- AI
- Fintech
- Trading
- Investments
- Distributed pipelines
- Data platforms
- Low-latency services
- Infrastructure for ML
- Agentic workloads
Location
- New York
Work Type
- In person
- Full-time
Experience Level
- 2-5 years
Salary/Compensations
- $150,000/year to $250,000/year
Benefits
- Generous equity in the company
- Company-subsidized health insurance including medical, vision, and dental
- HSA, FSA, dependent care FSA, and 401(k) plans provided
- Regular wellness, commuter and learning subsidies
About the Company
- The next quant firm is a learning system. We’re building an investment firm around an AI researcher that tests investment ideas and carries what it learns into the next experiment.
- We are a small founding team with unusually deep experience across machine learning, hedge fund technology, and investment management.
- We recently raised a seed round from Gradient Ventures and other investors.
- Join our founding team to build the future of investing!