Growth Engineer Intern

About the role

We're looking for a Growth Engineer Intern to help build the growth engine behind HyperOrbit.

You'll sit at the intersection of engineering, product, marketing, and sales—using code, AI, automation, and experimentation to identify and unlock new growth opportunities. You'll build tools, workflows, experiments, and systems that help us acquire users, improve activation, increase engagement, and scale outbound and product-led growth.

This is not a traditional marketing internship. You'll be expected to think like a builder: identify bottlenecks, ship experiments quickly, measure results, and double down on what works.

This role is ideal for someone who loves building with AI, experimenting with new tools, and figuring out creative ways to grow a product from zero to one.

What You'll Build

Growth Automation Systems

• Build automated workflows for lead generation, enrichment, outreach, and follow-ups

• Create AI-powered systems that identify, research, and prioritize high-potential prospects

• Develop internal tools that automate repetitive growth and sales workflows

• Connect multiple tools and data sources through APIs, webhooks, and automation platforms

• Build systems that help the team experiment and scale successful growth motions

AI-Powered Growth Experiments

• Build and test AI agents for prospecting, research, personalization, and outreach

• Experiment with LLMs to automate content creation, lead qualification, and customer research

• Create workflows that use AI to identify customer insights and growth opportunities

• Test different prompts, models, and agent workflows to improve growth outcomes

• Build lightweight prototypes to validate new AI-powered growth ideas quickly

Product-Led Growth

• Analyze the user journey to identify friction and drop-off points

• Build experiments to improve signup, onboarding, activation, and retention

• Create in-product growth loops and engagement mechanisms

• Implement product analytics and event tracking

• Build internal dashboards to monitor key growth metrics

• Experiment with onboarding flows, messaging, and user experiences

Growth Data & Intelligence

• Build systems to collect and organize data from customers, prospects, competitors, and the market

• Create automated dashboards for tracking acquisition, activation, engagement, and conversion

• Develop data enrichment workflows using APIs and AI

• Build lightweight scraping and research tools where appropriate and compliant

• Identify patterns and opportunities from growth and product data

Developer & Internal Tools

• Build lightweight internal tools that help the growth, sales, and product teams move faster

• Create dashboards, scripts, and automation workflows

• Build integrations between CRM, marketing, analytics, and product tools

• Rapidly prototype new ideas using modern AI coding tools

• Improve internal processes through automation and intelligent workflows

Responsibilities

Growth Engineering

• Build and ship growth experiments across acquisition, activation, engagement, and retention

• Identify manual processes that can be automated through code or AI

• Rapidly prototype and test new growth ideas

• Measure experiment results and iterate based on data

• Build reusable systems that turn successful experiments into scalable growth channels

• Work across APIs, databases, automation platforms, and frontend interfaces

AI & Automation

• Build AI-powered workflows using LLMs and agent frameworks

• Experiment with AI tools for research, personalization, content, and outreach

• Connect AI agents with internal and external tools through APIs

• Improve the reliability and quality of automated workflows

• Explore emerging AI tools and identify practical applications for HyperOrbit

Data & Analytics

• Define and implement tracking for key growth events

• Analyze funnels to identify bottlenecks and opportunities

• Build dashboards and reports for growth metrics

• Conduct lightweight analyses to evaluate experiments

• Develop systems for collecting and enriching growth data

• Translate data into actionable recommendations

Product Experimentation

• Work with product and engineering teams to identify growth opportunities

• Build and test improvements to onboarding and activation

• Experiment with messaging, workflows, and user experiences

• Implement A/B tests and feature experiments

• Gather insights from user behavior and feedback

• Help turn successful experiments into permanent product features

Cross-Functional Collaboration

• Work directly with founders on high-priority growth initiatives

• Collaborate with engineering to ship experiments quickly

• Partner with sales on outbound and prospecting automation

• Work with marketing on acquisition and content experiments

• Collaborate with product teams to improve activation and retention

• Share learnings and insights from experiments with the broader team

Requirements

Experience & Skills

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Business, or a related field

• Strong interest in startups, technology, AI, and growth

• Comfortable writing code and building projects independently

• Familiarity with Python, JavaScript, or TypeScript

• Strong analytical and problem-solving skills

• Ability to move quickly and work through ambiguity

• Curious mindset with a strong desire to experiment and learn

• Excellent communication skills

Growth & Product Mindset

• Interest in understanding how products acquire and retain users

• Ability to think analytically about funnels and user behavior

• Curious about why people use products and what drives conversion

• Comfortable forming hypotheses and testing them

• Interest in product-led growth, growth marketing, or startup growth

• Willingness to challenge assumptions and try unconventional ideas

AI & Automation Experience (Preferred)

• Experience using LLMs such as OpenAI, Anthropic, or Gemini APIs

• Familiarity with AI agents or agent workflows

• Experience building automation workflows using tools such as n8n, Zapier, Make, or similar

• Familiarity with prompt engineering and structured outputs

• Interest in experimenting with emerging AI tools

• Experience using AI coding tools to build prototypes faster

Technical Skills

• Languages: Python, JavaScript, or TypeScript

• Frontend: React, Next.js, or basic web development experience

• APIs: REST APIs, webhooks, and third-party integrations

• Databases: PostgreSQL, Supabase, Firebase, or similar

• Automation: n8n, Zapier, Make, or similar

• AI/LLM: OpenAI, Anthropic, Gemini, LangChain, or similar

• Analytics: PostHog, Mixpanel, Google Analytics, or similar

• Data: SQL, spreadsheets, and basic data analysis

• Version Control: Git and GitHub

Bonus Points

• Built a side project, startup, or AI application

• Experience running growth experiments

• Experience with web scraping and data enrichment

• Built automated outbound or lead generation workflows

• Experience with product analytics

• Familiarity with SEO, programmatic content, or developer marketing

• Experience with CRM tools such as HubSpot or Salesforce

• Active user of AI tools and automation platforms

• Strong understanding of startup ecosystems and emerging technology

• Previous internship or experience at an early-stage startup

What You'll Learn

Growth

• How early-stage startups find and build repeatable growth channels

• How to design, run, and evaluate growth experiments

• How acquisition, activation, retention, and engagement work together

• How to use data to identify growth opportunities

AI

• How to build practical AI agents and automation workflows

• How to integrate LLMs into real-world applications

• How to evaluate and improve AI-powered systems

• How companies are using AI to transform growth and go-to-market

Engineering

• How to build and ship production-ready tools and experiments

• How to work with APIs, databases, and automation platforms

• How to rapidly prototype ideas using modern development tools

• How to balance speed, experimentation, and engineering quality

Startups

• How founders think about product, growth, and company building

• How to work in a fast-moving, high-ownership environment

• How to turn ambiguous problems into concrete solutions

• How to take an idea from concept to execution

Tech Stack You'll Work With

Languages: Python + TypeScript
Frontend: React + Next.js
Backend: Python + FastAPI / Node.js
AI/LLM: OpenAI + Anthropic + Gemini
AI Agents: LangChain, LangGraph, or similar frameworks
Automation: n8n + APIs + Webhooks
Databases: PostgreSQL + Supabase
Analytics: PostHog / Mixpanel
CRM & GTM: HubSpot, Salesforce, and outbound tools
Data Enrichment: Third-party APIs and AI-powered research workflows
Cloud: AWS / Vercel / Supabase
Version Control: Git + GitHub

Benefits & Perks

Learning & Growth

• Work directly with founders and senior team members

• Get hands-on experience across engineering, AI, product, and growth

• Own real projects with measurable business impact

• Learn how to build and scale an AI-native startup

• Exposure to cutting-edge AI tools and technologies

Work & Life Balance

• Remote-first, flexible work culture

• Flexible working hours

• High degree of autonomy and ownership

• Opportunity to work on diverse, challenging problems

Team & Culture

• Small, high-impact team where your work matters

• Direct collaboration with founders

• Build and ship quickly without unnecessary bureaucracy

• Freedom to experiment with new ideas and technologies

• Opportunity to turn successful projects into larger ownership areas

Why HyperOrbit?

At HyperOrbit, we're building the infrastructure for an AI-native workforce—helping companies deploy autonomous AI agents that can do meaningful work across their organization.

Growth will be a critical part of that journey.

As a Growth Engineer Intern, you won't just be supporting the growth team. You'll be building the systems, experiments, and AI workflows that help us discover how HyperOrbit grows.

You'll get the opportunity to work directly on real business problems, experiment with cutting-edge AI tools, and see the direct impact of what you build.

If you're someone who loves building, experimenting, learning quickly, and finding creative ways to solve problems, we'd love to talk.

This is an opportunity to learn how to build growth from the ground up—using engineering and AI as your unfair advantage.