Description review

Technical GTM / Founders Office Intern

Alder · Remote · back to the listing

HR standards

61/100

needs work

Title ↔ description

61/100

needs work

Reads as

Marketing Manager

91% confident

What this role officially is

marketing manager — ESCO, the EU occupation classification

Marketing managers carry out the implementation of efforts related to the marketing operations in a company. They develop marketing strategies and plans by detailing cost and resources needed. They analyse the profitability of these plans, develop pricing strategies, and strive to raise awareness on products and companies among targeted customers.

Also known as: advertising sales manager, promotions manager, marketing executive, telemarketing manager, product marketing manager, market manager

How others title the same work

Large employers

  • Marketing Manager Canonical
  • Senior Marketing Automation Manager Canonical
  • Marketing Manager Canonical Ltd.
  • Senior Marketing Automation Manager Canonical Ltd.
  • Performance Marketing Manager, Global Coinbase

Startups

  • Head of Marketing BlueCargo
  • Growth & Marketing Lead Bluejay
  • Growth Marketer Callab AI
  • Experiential Marketing Coordinator Candid Health
  • Growth Lead Anglera

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

About the role

We’re a YC-backed, early-stage team, and we’re looking for a high-agency GTM intern to help us find the right customers and turn early signals into meetings, pilots, and repeatable growth.

This is a technical GTM role at the intersection of growth, data, automation, and storytelling. You will use AI heavily behind the scenes to build internal workflows, analyze results, and increase the speed of experimentation.

You’ll work directly with the founders. This is not a make decks and observe meetings internship. You’ll own real experiments, publish content, talk to prospects, and help us figure out what converts.

What you’ll do

• Build and operate AI-assisted systems for identifying, researching, and engaging potential customers

• Use modern data, automation, and AI tools to improve how we find and understand target accounts

• Design growth experiments across outbound, content, SEO, communities, and emerging channels

• Develop thoughtful, highly relevant campaigns across email, LinkedIn, and other platforms

• Own Nivara’s content presence, product narratives, website updates, and search-focused pages

• Work directly with the founder/CEO on customer research, positioning, new market experiments, and early sales

• Own a clear outcome: consistently creating qualified customer conversations for Nivara

What we’re looking for

• High agency: you take an ambiguous goal, identify what needs to happen, and move without waiting for detailed instructions

• Be comfortable (or eager to learn) using tools like Clay, Firecrawl, Apollo to enrich lead data.

• Be proficient with AI - we run a lot of our internal systems using agents and MCP servers

• Resourceful and persistent - find a path when there is none and run through walls

• Strong sense of ownership: you care about meetings booked and pipeline created, not simply completing assigned tasks

• Able to balance speed with good judgment, strong writing, and attention to detail

• Naturally curious and eager to learn about finance, AI agents, customers, and new GTM tools

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 4 points (from 65 before penalties). Reviewed 24 Sep 2026.