Overview
You'll work on revenue operations projects at Klue, a competitive intelligence platform that helps B2B companies win deals and make product decisions. You're building Salesforce workflows, HubSpot sequences, Looker dashboards, and testing AI-driven sales tools. This reports into the RevOps Manager and touches sales, marketing, and CS ops.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | RevOps Intern - Systems & Operations |
| Focus Areas | CRM admin, data ops, automation, AI experiments |
| Tools | Salesforce, HubSpot, BI tools, AI/LLM platforms |
| Team | RevOps + cross-functional GTM teams |
| Duration | Internship (likely 4-6 months, flexible) |
| Learning Curve | Steep - you'll touch a lot of systems quickly |
Company Context
Stage: Growth stage (195 employees, likely Series B/C based on size)
Size: 195 employees
Growth: Actively hiring, building out AI capabilities
Market Position: Niche player in competitive intelligence - they compete with Crayon, Kompyte, and manual analyst work. Not a crowded category but also not a must-have for every company.
Product: Klue sells two main things:
- Compete Agent - real-time competitive intel pushed to sales teams during deals
- Win-Loss Analysis - third-party buyer interviews to figure out why you win/lose
Their buyers are usually product marketing, sales enablement, or RevOps leaders at mid-market to enterprise B2B SaaS companies.
What You'll Actually Do
Time Breakdown
Salesforce/CRM Work (35%) | Dashboard/Reporting (25%) | Automation Projects (20%) | AI Experiments (15%) | Meetings/Learning (5%)
Key Activities
- Data Cleanup: You'll spend time deduping records, standardizing fields, fixing broken integrations. Salesforce is always messier than it should be.
- Building Automations: Create HubSpot workflows, Salesforce flows, Zapier connections. Mostly repetitive GTM tasks—auto-assigning leads, updating fields, sending alerts.
- Dashboard Building: Pull data from Salesforce, HubSpot, maybe Gong or Chorus. Build reports in Looker or Tableau. Sales leaders will ask for custom views constantly.
- Testing AI Tools: Klue is pushing into AI, so you'll test LLM integrations, prompt engineering, automated battlecards. Some of this will work, some won't.
- Project Support: Help with system rollouts, new tool implementations, process documentation. You're an extra pair of hands when RevOps gets buried.
- Ad-Hoc Analysis: Sales leaders will ask questions like "Why did pipeline drop 20% last month?" You'll dig through data to find answers.
The Honest Reality
What's Hard
- You're learning on the job: RevOps touches a ton of tools. You won't know them all coming in. You'll Google a lot and learn by breaking things.
- Unclear requirements: People will ask for dashboards without knowing what they actually need. You'll build something, they'll change their mind, you'll rebuild it.
- Data is messy: Sales reps don't fill out fields correctly. Integrations break. You'll spend hours tracking down why numbers don't match between systems.
- Low visibility work: Most of what you build happens behind the scenes. When it works, no one notices. When it breaks, everyone complains.
- Intern limitations: You won't have admin access to everything. You'll need approvals for changes. Some projects will get deprioritized because the team is busy.
What Success Looks Like
- You ship 2-3 automation projects that save the GTM team manual work
- You build dashboards that sales/CS leaders actually use weekly
- You document processes that didn't exist before
- You learn enough Salesforce/HubSpot to be dangerous in your next role
- You understand how a B2B GTM engine works end-to-end
Who You'll Work With
Direct Manager: RevOps Manager (the person who posted this - competitive enablement background)
Cross-Functional Partners:
- Sales reps who need reports and complain about CRM fields
- Marketing ops who need campaign tracking and lead routing fixed
- CS team who want customer health scores and renewal forecasts
- Sales leadership who want pipeline visibility and forecast accuracy
What They Care About:
- Sales: "Make my dashboards load faster and stop auto-assigning me bad leads"
- Marketing: "Track attribution properly so I can prove ROI"
- CS: "Tell me which customers are about to churn before they cancel"
- Leadership: "Give me accurate numbers I can trust in board meetings"
Requirements
- Currently enrolled in undergrad or grad program (business, analytics, comp sci, or related)
- Comfortable with spreadsheets - you'll do a lot of vlookups, pivot tables, and data manipulation
- Bonus: Any experience with Salesforce, HubSpot, SQL, or Python (but not required)
- Builder mindset - you like figuring out how systems work and making them better
- Self-directed - you'll get projects with loose requirements and need to figure out the details
- Good with ambiguity - RevOps is messy and requirements change constantly
What You'll Learn
Technical Skills:
- Salesforce administration (flows, reports, fields, objects)
- HubSpot workflows and sequences
- BI tools (Looker, Tableau, or similar)
- Basic SQL for data pulls
- AI/LLM integrations and prompt engineering
Business Skills:
- How B2B SaaS sales cycles work
- What metrics actually matter in GTM (pipeline coverage, conversion rates, sales velocity)
- How different teams (sales, marketing, CS) operate and what they need from ops
- How to scope projects and manage stakeholder expectations
Career Value: RevOps is a hot field. After this, you could move into:
- RevOps Analyst roles at startups ($60-80K)
- Sales/Marketing Ops positions
- Go-to-Market strategy roles
- Data analyst positions with commercial focus
The exposure to AI integrations is particularly valuable right now - lots of companies are trying to figure out how to use LLMs in their GTM stack.
The Real Deal
This is actual work, not busy work. You'll contribute to projects that affect revenue. You'll also spend time on tedious stuff like data cleanup and documentation.
Klue is small enough that you can have real impact, but big enough to have established systems to learn from. The RevOps Manager posting this has a competitive enablement background, so you'll likely get exposure to win-loss analysis and competitive intelligence work too.
If you like puzzles, systems thinking, and making processes more efficient, you'll enjoy this. If you want to be customer-facing or hate repetitive technical work, this isn't it.