Job Description
Who is Recruiting from Scratch
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
Title of Role: Senior Software Engineer (Full-Stack)
Location: New York, NY (Hybrid, 3 days/week in-office)
Company Stage of Funding: Series B (~$75M raised, VC-backed, high-growth)
Office Type: Hybrid
Salary: $180,000 – $220,000 + Competitive Equity (top-decile, high-upside)
Our client is building the startup discovery and intelligence layer for the global venture ecosystem
Their platform transforms massive volumes of fragmented, unstructured data—including web sources, filings, APIs, and internal datasets—into 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 world’s 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.
What You Will Do
- 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
Ideal Candidate Background
- 5–8 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
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
Compensation and Benefits
- Base salary: $180,000 – $220,000
- 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
Why Join
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 made—turning 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.
