Workloom

Product Marketing Intern - Tetriz at Workloom (Bengaluru, India)

Workloom· Bengaluru, India·

Role details

Work type
Onsite
Employment
Internship

Job description

About Tetriz

Tetriz helps engineering orgs become AI-native, faster. Observability that turns AI blind spots into measured signals, coaching that improves how engineers direct AI, and governance that catches risk without surveillance.

The role

This is a six-month, full-time product marketing internship, based in our Bengaluru office.

Most of our marketing already runs on AI agents. We have a content engine built on Claude (for SEO blogs, founder LinkedIn content, Reddit programs, YouTube scripts), outbound infrastructure on Apollo/HubSpot, and competitive intelligence workflows.

You will not be shadowing this machine — you will be running parts of it. You own the content engine, and you support the rest of the marketing function alongside the team.

If your instinct when given a repetitive task is "I should build a skill/workflow for this," you'll fit. If your instinct is to open a blank doc, this will frustrate you.

What you'll own

  1. Content engine

- Run the SEO blog pipeline: briefs, drafts, editorial QA against our standards, publishing, and refresh cycles

- Ship LinkedIn posts and company page content on a weekly calendar

- Draft and iterate YouTube scripts, titles, descriptions, and thumbnail concepts; track what actually earns clicks

- Keep website and landing page copy current, and flag what has gone stale

  1. Outbound and growth ops

- Help run the email and social outbound machine: list building, enrichment, sequence setup, deliverability hygiene

- Pull weekly campaign performance into a simple report and call out what isn't working

  1. Launch and channel presence

- Support launch-week execution across relevant platforms

- Help build our G2 and Capterra presence: profile setup, review-generation outreach, drafting responses

- Monitor the communities where our buyers actually are, and surface what's worth engaging with

  1. Lifecycle and customer marketing

- Help draft the PLG email lifecycle: onboarding nurture for new signups and activation prompts

- Assist on case studies — interview notes, first drafts, and capturing named customer quotes

- Keep sales assets tidy and current: one-pagers, pitch deck updates, battlecards

What we need

- Currently pursuing or recently completed a degree, with 0–1 years of experience. A prior marketing internship, a blog or newsletter you run, or a side project you actually shipped all count.

- AI-native. You use Claude, ChatGPT, or Cursor daily as a working tool, not a novelty. You can show us prompts, workflows, or agents you've built to do your own work faster. This is the single biggest filter — it matters more to us than your CV.

- Strong writing skills. You'll be editing AI output for a technical US audience, so you need the judgment to catch what's generic, wrong, or off-brand.

- Reliability. Outbound infrastructure fails quietly. We need someone who checks the dashboard before anyone asks.

- Available full-time, in office in Bengaluru, for the full six months.

Nice to have: exposure to Apollo.io, HubSpot or similar tools, basic SEO fundamentals, curiosity about the developer tools ecosystem, basic video or design editing (Canva, CapCut, Figma).

What you'll get

- A front-row seat to a US GTM launch, working directly with the founders

- The most AI-leveraged marketing stack you'll find at any company this size — you'll build skills most marketers won't have for years

- Real ownership from week one. No approval chains, no busywork

- A monthly stipend, and a full-time offer on the table for interns who perform

Why work at Workloom

  • Culture highlights: Start-up environment with a strong builder mindset; team of experienced founders who built and scaled a major fintech product; emphasis on using AI leverage in all workflows.
  • Remote/hybrid/office policy: Roles are a mix – on-site (Bangalore), hybrid, and some remote. The majority of openings are on-site (83% according to one search snippet).
  • Notable perks or engineering culture: Engineers are expected to treat ML systems as their primary craft while being willing to do whatever the product needs. The selection process includes technical interviews and a take-home assignment. The company aspires to an inclusive culture and hires solely on merit.

Application questions