×
Register Here to Apply for Jobs or Post Jobs. X

AI GTM Intern

Job in Oregon, Dane County, Wisconsin, 53575, USA
Listing for: Keka Technologies Private Limited
Full Time, Part Time, Apprenticeship/Internship position
Listed on 2026-08-26
Job specializations:
  • IT/Tech
    CRM Systems & Management, Digital Marketing, Data Analyst
Salary/Wage Range or Industry Benchmark: 5800 USD Yearly USD 5800.00 YEAR
Job Description & How to Apply Below

3-month paid internship with a pathway to full-time employment, contingent on performance.

Zenskar is an AI-native revenue automation platform built to handle real-world complexity. It sits between your CRM and ERP, automating everything in between: billing, revenue recognition, collections, usage metering, and analytics — across any pricing model, any entity structure, any currency.

Our vision:
Zero-Touch Finance.
Agents execute. Humans supervise. Finance teams set the rules. Zenskar runs them.

Founded by Apurv Bansal and Saurabh Agarwal — second-time founders whose previous startups were acquired by Snapdeal and Gaana. The team brings experience from Google, Deutsche Bank, Elevation Capital, IIT Bombay, IIT Delhi, and Harvard Business School.

We have 5x'd revenue in the past year and are default alive.

Funding: We raised $15M in Series A funding in April 2026, led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho, with participation from Rocketship, J-Ventures, Future Back Ventures by Bain & Company, and Converge.

What Customers Say

"We're saving 200+ hours/quarter on invoicing and receivables by completely automating our recurring billing."

"Zenskar automates revenue recognition accurately for our value-based billing: agents reducing manual hours by 70%."

"Zenskar's agents automated 90% of our billing, integrated with our CRM, and accelerated revenue collection by a month."

— Ming Lui, VP Finance, Yembo

"We launched our product 4 months faster instead of building an in-house system for our usage-based pricing."

About This Role

We're looking for an AI GTM Intern to own end-to-end marketing workflows, automation, and analytics. This is a Bangalore-based hybrid role where you'll work closely with the marketing team to streamline ops at an early-stage, fast-moving startup.

The internship runs for 3 months, with a pathway to full-time employment, contingent on performance.

If you thrive on ownership, rapid experimentation, and turning chaos into scalable systems, this is your chance to shape Zenskar's growth engine from the inside.

Key Responsibilities
GTM Engineering (30–40% of the role)

Familiarity with GTM engineering is a strong plus — you'll be expected to build and maintain lightweight automations and integrations that make the rest of the marketing machine run faster:

  • Build and maintain automation workflows using tools like Zapier, Make, or n8n to connect Hub Spot, Webflow, Mailer Lite, and other stack components.
  • Experiment with AI agents and LLM-powered pipelines to automate repetitive GTM tasks — email personalization, lead enrichment, content distribution, and more.
  • Instrument tracking, attribution logic, and data pipelines to give the team a clean, reliable signal on what's working.
  • Identify ops bottlenecks and engineer your way out of them — not just document them.
Core Marketing Ops (60–70% of the role)
  • Maintain and update the website (Webflow) — content refreshes, new landing pages, SEO tweaks, form and pop-up integrations.

    Website ops:
  • Coordinate distribution across channels like Reddit, Linked In, and newsletters.

    Content ops:
  • Manage and update sales enablement material — decks, competitor intel, battle cards, case studies.

    Product marketing:
  • Build, manage, and optimize campaigns and newsletters in Mailer Lite/Hub Spot.

    Email ops:
  • Drive customer reviews on G2, Capterra, and Source Forge to boost credibility.

    Review generation:
  • Spot issues in ops, fix them proactively, and iterate for efficiency — from A/B testing emails to integrating new tools for faster execution.

    Full accountability:
What You Can Expect
  • Ownership from Day 1:
    Run marketing ops like your own startup within Zenskar.
  • Growth opportunity:
    Meaningful work with a clear path to full-time based on what you build.
  • High learning curve:
    Master ops execution and analytics in a high-impact, high-visibility role.
  • Cross-functional exposure:
    Partner with content, field, growth, product marketing, and sales teams.
Key Qualifications
  • 6 months to 1 year of experience interning in AI automation or running marketing ops end-to-end.
  • Familiarity with GTM engineering — building automations, integrations, or lightweight AI pipelines is a strong differentiator.
  • Proven ownership:
    Takes full accountability and proactively fixes issues before being asked.
  • Ops proficiency:
    Familiar with (or fast to learn) Hub Spot, Mailer Lite, Webflow, Looker Studio, Zapier/Make.
  • Strong analytics mindset:
    Tracks metrics like conversion rates, pipeline impact, and review volume — and presents findings clearly.
  • Not taking yourself too seriously :)
Location
  • Bangalore (or willing to relocate to Bangalore once you convert to a full-time hire)
  • Hybrid — 2 days per week (Tuesday, Thursday) / Remote
Interview Process

Our interview process is designed to be structured and efficient.

R0 – Form Response Screening

R1 – Introductory Call with hiring manager

Take-Home Assignment

R2 – Assignment Review

R3 - Culture fit

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary