RevOps & GTM Intern (AI-First)

Discover Dollar; Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

Discover Dollar in Bengaluru is seeking a skilled individual for a build role utilizing AI to streamline RevOps processes. The role involves cleaning data, creating automated workflows, and collaborating with various teams to ensure accurate information flows. This position is in a live environment, working US hours, and offers a potential transition to full-time based on performance.

The ideal candidate will have a tech degree, be fluent with AI tools, and be comfortable in using spreadsheets and automation tools. Strong analytical skills and a proactive approach to data management are essential.

Qualifications

• Genuinely fluent with AI tools, having made them do real work.
• Comfortable in spreadsheets and at least one no-code automation tool.
• Notices discrepancies in data and pursues the underlying cause.

Responsibilities

• Build AI workflows to clean and structure GTM data.
• Create extraction pipelines from unstructured sources.
• Maintain target-account lists and fresh buyer data.
• Build dashboards for leadership insights.

Skills

Fluent with AI tools

Spreadsheet proficiency

No-code automation tools

Data analysis

Education

Tech degree (CS, IT, or adjacent) from a Tier 1 college

Tools

HubSpot

Clay

Apollo

LinkedIn Sales Navigator

Make Ai

Google Sheets

Job description

This is a build role, not a busywork role. You'll use AI to do what a RevOps team used to need five people for - clean the data, find the accounts, research the buyers, automate the handoffs. The 2–11 PM shift overlaps US business hours on purpose, so you're live while our market is awake and working alongside marketing, sales, and sometimes product in real time. If you'd rather wire up an agent to do a task than do it manually twice, this is your seat.

What you’ll actually do

AI is the centerpiece, not a buzzword on the wall:

• Build AI workflows that clean and structure messy GTM data — dedupe accounts, fix fields, normalize company names, reconcile what the CRM says vs. reality. The kind of cleanup that's traditionally soul-crushing, done with LLMs and automation instead.
• Build extraction pipelines: pull buyer signals, firmographics, and risk indicators out of unstructured sources (10-Ks, earnings calls, news, company sites) and turn them into clean, scored records.
• Stand up a prospect-research agent that preps the sales team before calls — who the account is, where they likely leak money on overpayments and supplier issues, who to talk to.
• Build enrichment and routing in Clay + n8n/Zapier so a new lead gets scored, assigned, and sequenced with zero manual touch.

The rest of the RevOps core:

• Build and maintain target-account lists of large retailers, CPG, and grocery chains — the companies bleeding money to overpayments and leakage.
• Find and verify the right buyers (CFO, VP Finance, Procurement Directors, Heads of Internal Audit, AP/P2P leads) and keep that data fresh.
• Build dashboards leadership actually opens: pipeline by source, conversion by stage, event ROI, list-to-meeting rates.
• Set up, QA, and report on outbound sequences (Instantly/Smartlead/Outreach).

Cross-functional, because RevOps touches everything:

• Sales: real-time research and clean data while deals are moving on US hours.
• Field marketing: feed the events intern clean target lists and close the loop on event leads in the CRM.
• Content / vibe marketing: use AI to spin the data and research into outbound copy, one-pagers, and campaign assets fast — the "vibe marketing" muscle of shipping good marketing output with AI instead of waiting on a full content cycle.
• Product: when your automation surfaces something useful (a data pattern, a signal worth productizing), you'll work with the product team on it.

Tools you’ll touch:

HubSpot, Clay, Apollo, LinkedIn Sales Navigator, Make Ai, Instantly/Smartlead, (OpenAI/Claude), Google Sheets (heavy).

Who we’re looking for

• Tech degree (CS, IT, or adjacent) from a Tier 1 college
• Genuinely fluent with AI tools - not just "I've used ChatGPT," but you've made it do real work and you know where it breaks.
• Comfortable in spreadsheets and at least one no-code automation tool, or sharp enough to pick one up in a week.
• You notice when numbers don't add up and you chase the why.
• You can write a clear Loom or doc explaining what you built.
• Bonus: you've shipped something - a script, a bot, a scraper, an agent, a side project. We care about what you've built.

The deal:

Strong performance and visible initiative convert this into a full-time opportunity.