Senior Software Engineer (Full-Stack)

Our client is building the startup discovery and intelligence layer for the global venture ecosystem.

Their platform transforms massive volumes of fragmented unstructured dataincluding web sources filings APIs and internal datasetsinto a structured searchable system that helps top venture firms discover and evaluate the next generation of breakout startups.

The company powers intelligence workflows for some of the worlds most sophisticated investors enabling them to source deals earlier conduct deeper diligence and manage their pipelines in a unified system built directly on top of a proprietary knowledge graph.

With strong product-market fit rapid adoption across leading VC firms and a highly technical team of 40 engineers and researchers this is a rare opportunity to help build foundational infrastructure for how startup ecosystems are mapped searched and understood.

• Build and scale the core intelligence layer that transforms unstructured data into structured startup investor and market knowledge
• Design and implement data pipelines ingesting APIs web data filings and internal datasets at scale
• Develop full-stack features powering search discovery and research workflows for venture capital users
• Build and maintain GraphQL APIs on top of large-scale data systems
• Work on a dual product surface:
  • Discovery engine (data search research system)
  • Deal management system (CRM-like workflow for investors)
• Design performant frontend experiences using React TypeScript for data-heavy workflows
• Collaborate closely with product and research teams to translate complex datasets into intuitive UX
• Improve system performance scalability and data reliability across the stack
• Contribute to shaping architecture for a rapidly growing data platform

• 58 years of experience as a full-stack or backend-leaning engineer
• Strong startup experience at high-growth VC-backed companies
• Experience building data-heavy web applications (CRM analytics or workflow tools preferred)
• Comfortable working across backend frontend (approx. 60/40 split)
• Strong experience designing APIs and working with large datasets
• Experience in environments like Notion Airtable Linear Figma or similar strongly preferred
• CS degree from a strong academic institution preferred

• Experience with Python TypeScript React Go or GraphQL
• Experience building or scaling search systems (e.g. Elasticsearch or similar)
• Familiarity with data infrastructure tools (dbt Postgres cloud systems)
• Experience using AI-assisted development tools (e.g. Cursor)
• Exposure to venture capital fintech or research/data platforms
• Strong product intuition for UX in data-heavy systems

• Base salary: $180000 $220000
• Equity: Competitive (top-decile VC-style upside)
• Hybrid work model (NYC 3 days/week in office)
• Visa sponsorship available (H1B supported)
• High ownership environment in a rapidly scaling company
• Opportunity to build foundational infrastructure used by top-tier investors globally
• Direct impact on product direction and architecture

This is a rare opportunity to join a category-defining platform at the intersection of data infrastructure AI and venture capital intelligence.

You will be working on systems that power how billions of dollars in venture capital decisions are madeturning fragmented global startup data into structured intelligence and workflows used by elite investors.

If you are a strong full-stack engineer who thrives in data-heavy environments and wants to build systems that redefine how startups are discovered this role offers exceptional ownership technical depth and impact.