US Summer Internship Program at AutoRABIT

AutoRABIT Holding Inc.•San Francisco, CA

1d•Remote

About The Position

The AutoRABIT Internship Program is designed to provide college students with meaningful exposure to multiple facets of our business, enabling them to explore their skills and discover where they can thrive. This program offers hands-on experience, professional development, and mentorship to help interns build a strong foundation for their careers. While AutoRABIT values its community and encourages applicants with connections to the organization to apply, all candidates are considered based on merit, qualifications, and alignment with program goals in accordance with equal opportunity principles.

Requirements

Must be at least 18 years old
Must be a US Citizen or Green Card holder
Must be living in the US
Agentic Coding Proficiency — Demonstrated ability to use AI coding tools (Claude Code, Cursor, or equivalent) as a primary development workflow, including critical evaluation of AI-generated output
Python & API Development — Able to build, consume, and debug REST APIs in Python; comfortable working in existing codebases they did not write
Frontend Development — Working knowledge of React and TypeScript sufficient to build and modify full-stack features
Database Competency — PostgreSQL experience including querying, schema comprehension, and basic data modeling
Autonomous Problem Solving — Can take plain-language requirements, translate them into technical specifications, and deliver working software without heavy supervision
Communication & Clarity — Asks precise clarifying questions when requirements are ambiguous; documents what they build in a way others can use

Responsibilities

Oversees all interns and ensures smooth program execution.
Create and maintain internship schedule (meetings, onboarding sessions, weekly check-ins).
Manage time sheets and ensure accurate reporting for payroll.
Track progress on all intern projects using a shared dashboard
Facilitate introductions to key stakeholders across Sales, Marketing, Product, and RevOps.
Conduct weekly performance reviews and provide feedback.
Special Project to support federal pipeline development under guidance of Michael Hornsby.
Prepare end-of-program evaluation reports for each intern.
Act as primary liaison between interns and leadership for escalations.
Special 30-day Project to support federal pipeline development under the guidance of Michael Hornsby.
Analyze data from Cognism, Pendo, Training Portal, and other repositories to uncover insights that drive pipeline growth.
Analyze Pendo usage data to identify product adoption trends and upsell opportunities.
Create reports on training portal engagement to correlate with customer success metrics.
Build ICP refinement models based on historical win/loss data.
Work with RevOps to create a lead scoring system for SDRs based on engagement and technographic data.
Present weekly insights to Sales and RevOps for pipeline acceleration.
Collaborate with the Product team to identify feature usage patterns that indicate expansion potential.
Support the Global Sales organization by contributing to pipeline generation, sales execution, and strategic initiatives. This role provides hands-on exposure to enterprise sales by working closely with AEs, Sales Leadership, and RevOps to drive research, insights, and deal support that directly impact revenue outcomes.
Conduct account and prospect research to support outbound and expansion across target accounts
Partner with AEs to prepare for customer meetings, including briefs, decks, and discovery insights
Analyze pipeline and CRM data to identify trends, risks, and opportunities
Support sales execution by maintaining CRM hygiene, capturing meeting notes, and contributing to account planning
Build an analytics tool to consolidate insights from Data Analyst team into a usable software application.
Agentic Coding Proficiency — Demonstrated ability to use AI coding tools (Claude Code, Cursor, or equivalent) as a primary development workflow, including critical evaluation of AI-generated output
Python & API Development — Able to build, consume, and debug REST APIs in Python; comfortable working in existing codebases they did not write
Frontend Development — Working knowledge of React and TypeScript sufficient to build and modify full-stack features
Database Competency — PostgreSQL experience including querying, schema comprehension, and basic data modeling
Autonomous Problem Solving — Can take plain-language requirements, translate them into technical specifications, and deliver working software without heavy supervision
Communication & Clarity — Asks precise clarifying questions when requirements are ambiguous; documents what they build in a way others can use
Build and deliver internal security tooling that automates workflows and enhances AutoRABIT’s security operations, while gaining hands-on experience in full-stack development and AI-assisted engineering.
Build automation pipelines to aggregate and report on security scan data across multiple systems
Develop and ship full-stack features using Python, FastAPI, React, and PostgreSQL
Integrate third-party security tools and APIs into internal platforms
Design and prototype AI-assisted workflows to improve security triage and efficiency
Collaborate with the security engineering team to translate requirements into production-ready solutions
Maintain data quality, assist with campaign execution, and support marketing systems within AutoRABIT’s marketing/revenue tech stack.
Support CRM and marketing automation systems (Salesforce, Pardot, etc.)
Maintain data accuracy, consistency, and hygiene across platforms
Assist with campaign setup, QA, and execution within marketing tools
Maintain data accuracy and hygiene across CRM systems.
Support lead management processes, including routing and tracking