GTM Engineer Intern | AI & Growth
- Source: LinkedIn
- Unifynd Labs (U.LABS)
- On-site
- Mumbai
- Junior
Job Description
Location: Mumbai
Internship Period: 4 Months
About U.Labs U.Labs is a Mumbai-based venture studio that builds, scales, and invests in the next generation of businesses. We operate as strategic co-builders, combining business strategy, technology, AI, brand, and growth to help founders and companies move from idea to execution at speed.
You will immediately work on StackBack.ai , our SaaS product for D2C and ecommerce brands, and shortly thereafter across other AI, SaaS and enterprise products and platforms being built at U.Labs.
We think like founders, build like engineers, and grow like marketers.
About The Role This role is for someone who is studying engineering, or has recently graduated as an engineer, and loves building things but does not want to build technology in isolation from the business.
You want to know whether what you built generated leads, improved conversion, created pipeline, reduced acquisition costs, or helped a product grow.
A GTM Engineer sits at the intersection of engineering, AI, data, sales and growth. This is not a traditional analyst or marketing internship. It is not an SDR role. And it is not a conventional software engineering internship where you spend four months picking up frontend or backend tickets without understanding what they ultimately change for the business.
You will work directly with the CEO to identify growth problems, test ways to solve them, build what is required, run experiments, understand what works, and then systemise and scale it.
You Could Be Working On Problems Like
- How do we automatically find and prioritise the right companies for StackBack?
- How do we build outbound that is personalised and scalable without becoming spam?
- How do we get more high-intent customers to discover us through inbound channels?
- What landing pages, journeys and conversion flows should we build for different ICPs and use cases?
- Where are prospects dropping off, and what can we change to improve conversion?
- How do we use AI, data and automation to make our GTM engine significantly more effective?
Your job is to take a commercial problem and figure out how technology can help solve it.
What You’ll Do GTM Acquisition
- Build systems to identify, research, enrich and prioritise companies and decision-makers
- Build and improve outbound workflows across email, LinkedIn and other channels
- Use AI for account research, personalisation, qualification and follow-ups
- Identify signals and data that help us find higher-intent prospects
- Build systems to capture, enrich, score and route inbound leads
- Explore and test new inbound acquisition opportunities across search, content and other channels
- Continuously improve targeting, messaging and acquisition workflows based on results
Research & Product Discovery
- Conduct deep research across markets, industries, products, competitors and emerging technologies
- Identify customer pain points, unmet needs and behavioural patterns that can inform new product ideas and GTM opportunities
- Research new product categories, use cases and market opportunities before we decide what to build
- Turn fragmented information from customers, competitors, communities and market data into clear insights and actionable recommendations
GTM Infrastructure, AI & Automation
- Connect CRM, enrichment, outbound, analytics, databases and other parts of the GTM stack
- Build workflows using APIs, webhooks, agents and automation systems
- Build AI agents and workflows for research, enrichment, qualification and personalisation
- Work with Python, JavaScript, SQL and other tools where required
- Build scrapers, data pipelines and lightweight internal tools
- Build and iterate landing pages, lead capture flows and conversion journeys
- Set up tracking, analytics and attribution across acquisition funnels
- Work with outbound infrastructure including domains, inboxes and email deliverability
- Prototype and ship quickly using AI-assisted development tools
Experiments & Analytics
- Track acquisition funnels from first touch to lead, meeting, opportunity and revenue
- Build dashboards and reporting around GTM performance
- Analyse which ICPs, channels, signals, messages and landing pages perform best
- Identify bottlenecks across the funnel
- Design and run growth experiments
- Use performance data to decide what to improve, scale or …
Skills
- Python
- javascript
- attribution
- JSON
- chatgpt
- claude-by-anthropic
- Codex
- Gemini
- apollo-io
- linkedin-sales-navigator
- sales-navigator
- smartlead
- Hubspot
- pipedrive
- google-analytics
- posthog
- supabase
- PostgreSQL
- Github
- apify
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