Open Positions
51 Insights is hiring world-class talent to build the intelligence layer powering institutional digital asset decisions. We are a remote-first team combining deep digital asset expertise with AI-driven research infrastructure, serving 100,000+ decision-makers at firms including J.P. Morgan, Citi, and Google.
Join the team
You will develop, implement, and optimize AI models, data pipelines, and data analysis to build out our market intelligence platform.
Responsibilities
- Deploy and serve open-source LLMs (vLLM, TGI, Ollama) on GPU cloud infrastructure (RunPod, Modal, Vast.ai)
- Build and optimize RAG pipelines over Supabase / PostgreSQL for real-time research retrieval
- Design agentic workflows that automate data collection, enrichment, and analysis
- Develop evaluation and quality frameworks: hallucination detection, scoring benchmarks, output grading
- Model cost-per-token economics across providers (Anthropic, Google, OpenAI vs. self-hosted) to optimize spend
- Build data pipelines that process thousands of sources into structured, queryable intelligence
Qualifications
- Strong Python and/or TypeScript skills in production environments
- Hands-on experience deploying and serving LLMs at scale
- Deep understanding of data pipeline architectures (ingestion, transformation, serving)
- Experience with RAG systems, vector databases, and retrieval-augmented generation patterns
- Familiarity with LLM evaluation methods and quality assurance
- Bonus: experience in financial data, digital assets, or institutional research
Why 51 Insights
- Early-stage product team with ambitious roadmap
- Direct impact: your systems power the intelligence layer used by some of the largest financial institutions in the world
- Work at the intersection of AI and digital assets with a team that has 10+ years of institutional crypto experience
We're looking for a technical leader to own the architecture, infrastructure, and engineering execution behind 51 Terminal and our broader intelligence platform. This is a leadership role for someone who has built and shipped data-intensive products at scale, and wants to do it again at the intersection of AI, financial data, and digital assets.
What you'll own
- Define and execute the technical roadmap for 51 Terminal, our market intelligence platform serving institutional clients
- Architect the full stack: Next.js front-end, Supabase/PostgreSQL data layer, AI pipelines, and API infrastructure
- Lead the design and scaling of data ingestion systems processing thousands of sources into structured, queryable intelligence
- Build and optimize AI/ML infrastructure: LLM orchestration, RAG pipelines, agentic workflows, evaluation frameworks
- Make build-vs-buy decisions across the stack, managing cost-per-token economics, hosting, and third-party integrations
- Own platform reliability, security, and performance as we scale from beta to enterprise-grade deployment
- Hire and lead the engineering team as the company grows
What we're looking for
- 7+ years of engineering experience, with at least 3 years in a senior or leadership role at a high-growth startup or product company
- Track record of shipping production systems end-to-end, not just prototypes
- Deep hands-on experience with modern web stacks (TypeScript, React/Next.js, Node.js) and relational databases (PostgreSQL)
- Strong understanding of AI/ML infrastructure: deploying LLMs, building RAG systems, designing evaluation pipelines
- Experience building and scaling data pipelines (ingestion, transformation, enrichment, serving)
- Proven ability to make sound architectural decisions under ambiguity and resource constraints
- Comfort operating as a player-coach: writing code, reviewing PRs, and setting technical direction simultaneously
- Bonus: background in fintech, digital assets, or institutional financial services
- Bonus: experience with Supabase, Vercel, or similar modern deployment platforms
Who you are
- An operator, not just an architect. You ship fast, iterate constantly, and take ownership of outcomes
- Comfortable with early-stage ambiguity. You don't wait for specs; you define them
- Opinionated about quality but pragmatic about trade-offs
- Someone who sees AI tooling as a force multiplier and is already building with it daily
Why 51 Insights
- Ground-floor leadership at a company building the institutional intelligence layer for digital assets
- Your systems already power research used by decision-makers at J.P. Morgan, Citi, Google, and PayPal
- Work directly with the CEO on product and technical strategy with full ownership of the engineering function
- Equity participation reflecting the importance of this role