Software Engineering Intern at juneapp.ai (New York, NY)

juneapp.ai· New York, NY·6d ago

Role details

Work type

Remote

Employment

Full-Time

Job description

Early-stage startup with high ownership and impact (team of 6)
Remote-first culture with distributed team across US and Colombia
Focus on solving a painful, high-volume problem in recruiting
Backed by a well-known founder (Steve Bartel) and already generating revenue
Tech stack includes modern tools: React, Python, OpenAI, Firebase, Google Cloud, Twilio

One-liner: June is an AI-powered platform that automates candidate screening via voice interviews, helping recruiting teams reduce time-to-fill and increase productivity.
Entity Type: Private (Bootstrapped; backed by angel investors)
Headquarters: Not publicly available (distributed team across United States and Colombia)
Founded: 2024 (per Prospeo) or 2025 (per LinkedIn) – conflicting reports
Founders: James Mackey (CEO) and Tony Caraballo (CTO)

Primary industry: Human Resources / Recruiting Technology
Target customers: B2B – recruiting teams at companies of all sizes (from small teams to enterprises)
Mission or purpose: “Eliminate massive inefficiencies created by reviewing inbound applications, scheduling, screening unqualified candidates, and rejection messages.”

June AI Interviewer: A conversational AI that conducts voice-based pre-screening interviews with candidates. Integrates with major ATS platforms (Ashby, Gem, Greenhouse, Workday, etc.) to automatically trigger interviews and deliver ranked shortlists. Available in three pricing tiers (Starter $199/mo, Team $499/mo, Business $999/mo) plus an Enterprise plan.

Valuation/Market Cap: Not disclosed
Key Metric: Total funding – none raised to date (bootstrapped); backed by Steve Bartel, Founder & CEO of Gem
Notable Investors/Partners: Steve Bartel (Gem); integrations with 80+ ATS platforms including Ashby, Greenhouse, Lever, Workday
Growth Signals: Monthly website visits grew +490.1% year-over-year (419 visits); small but focused team of 6 employees; already serving customers with measurable ROI claims (80 hrs/recruiter/month, 60% decrease in time-to-fill)

Purpose-built AI for hiring by subject-matter experts (not a generic chatbot)
Voice-based screening that works via phone – no download, login, or setup for candidates
Deep ATS integrations that automate the entire pre-screen workflow
Claims of significant efficiency gains backed by data from “thousands of employers”

Scaling from small teams to high-volume enterprise hiring
Expanding ATS integrations and adding new features (priority access for Business/Enterprise plans)
Maintaining a lean, remote-first team while increasing customer adoption

Sources