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Member of Technical Staff (x3)

Contrario |
Full-time
United States
Unknown
Salary: $140,000 - $220,000/Yr
About The Company

Contrario is building the AI-native recruiting marketplace for high-growth startups.

Startups today rely on fragmented recruiters, slow agencies, and outdated ATS tools. Contrario replaces this with a marketplace powered by ML matching, search infrastructure, and automation systems that route recruiters and candidates to the right roles.

We work with 150+ venture-backed startups including Delve, Wispr Flow, Bland, Warp, Listen Labs, and Sieve , and a network of 300+ boutique recruiting agencies (many formerly at Stripe, Ramp, and Palantir).

In The Past 9 Months We’ve

  • Reached $500K monthly revenue (~$6M ARR run rate)
  • Completed 100+ startup hires
  • Achieved 98% repeat usage from companies that hire
  • Maintained

    Our Marketplace Fills Roles Significantly Faster Than Traditional Recruiting

  • GTM + Ops: 80%+ fill rate (~45 days)
  • Remote LATAM engineers: 90%+ fill rate (<30 days)
  • In-person engineers: ~50% fill rate (~60 days)

  • We’ve raised $2.5M from Y Combinator, Nexus Venture Partners, and angels from Hudson River Trading, Stanford, and OpenAI.

    We Are Scaling Aggressively

    • $1M–$2M monthly revenue target in the coming months
    • $25M+ ARR run rate by the end of the year
    • Thousands of recruiters and hundreds of startups on the platform

    The team comes from Stanford, YC startups, BCG, NASA, SAIL, Berkeley, and Northwestern.

    About The Role

    We are hiring a Member of Technical Staff to help build the core infrastructure powering Contrario’s marketplace.

    You will work directly with the founders to design and ship ML matching systems, recruiter routing algorithms, search infrastructure, and AI-powered workflows that determine how talent flows across hundreds of startups.

    This is a founding engineering role with extremely high ownership .

    You Will

    • Ship production systems used by hundreds of recruiters and startups
    • Build the core intelligence layer of the marketplace
    • Define the technical architecture and engineering culture
    • Work directly with the founders on product and technical decisions

    The systems you build will determine who gets hired at some of the fastest-growing startups in the world.

    Key Responsibilities

    Build ML-driven marketplace systems

    Develop ranking and retrieval systems that match recruiters, candidates, and roles using embeddings, structured signals, and marketplace data.

    Design search and data infrastructure

    Build systems that query and rank candidates, recruiters, and roles across large datasets.

    Develop AI-native workflows

    Ship automation tools that help recruiters source candidates faster and help companies evaluate talent more efficiently.

    Ship full-stack product features

    Design and implement features across the entire stack — from database schema and APIs to user-facing interfaces.

    Own core marketplace infrastructure

    Work on systems that power recruiter routing, candidate evaluation pipelines, and marketplace coordination.

    Move extremely fast

    Launch features quickly, gather feedback from real users, and iterate rapidly.

    KEY METRICS & CONTEXT

    Revenue

    $500K monthly revenue (~$6M ARR run rate)

    Targeting $1M–$2M monthly revenue in the coming months.

    Marketplace scale

    150+ startup customers\ 300+ recruiting agencies

    Marketplace performance

    • 80%+ fill rate for GTM + Ops roles
    • 90%+ fill rate for remote engineers
    • 98% repeat usage from companies that hire

    Hiring volume

    100+ hires completed in the past 9 months.

    Funding

    $2.5M+ raised from YC, Nexus Venture Partners, and angels at OpenAI, HRT, and more.

    Requirements

    Must-Have

    Strong full-stack engineering ability

    Experience building production systems using TypeScript and modern web frameworks (Next.js / React).

    Comfort working with AI systems

    Experience Integrating Or Building Systems Using

    • LLM APIs
    • embeddings
    • vector search
    • retrieval pipelines

    Backend and data systems knowledge

    Experience designing APIs and working with relational databases.

    Product-minded engineer

    You care about UX and building systems that users actually love.

    High ownership mindset

    You can take ambiguous problems and turn them into working systems without heavy direction.

    Startup velocity

    You ship quickly and are comfortable working in fast-moving environments.

    Nice-to-Have

    Experience Building

    • Search or recommendation systems
    • Marketplace products
    • AI-native developer workflows

    Experience With

    • Supabase / Postgres
    • Vercel deployments
    • LLM-powered product features

    TECH STACK

    Frontend\ Next.js, React, TypeScript, Tailwind

    Backend\ TypeScript APIs

    Database\ Supabase (Postgres)

    Infrastructure\ Vercel

    AI / Data\ LLMs, embeddings, retrieval pipelines
    About the company
    Contrario
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    Job code
    EX-A48E2323
    Job type
    Full-time
    Location
    United States
    Work mode
    On site
    Work schedule
    Regular schedule