About Zenskar
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.
See how Zenskar automates the full order-to-cash cycle, from contract to cash,
without spreadsheets, workarounds, or engineering tickets.*
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. We are default alive.
The Problem We're Solving
Finance teams aren't struggling because they lack AI tools. They're struggling because the systems underneath those tools were built for a simpler world. These systems label real-world complexity as edge cases and force teams into costly, error-prone workarounds: revenue leakage, delayed collections, audit risk, and finance teams buried in grunt work.
Bolting AI onto these broken foundations is as good as a Ferrari engine on a horse-drawn carriage. Zenskar is purpose-built from the ground up: the architecture handles complexity natively, so AI actually works.
It combines foundational flexibility + deterministic calculation + purpose-built AI agents to deliver end-to-end automation across the order-to-cash cycle - without workarounds, without engineering tickets.
The B2B billing and revenue automation market is $2B today, projected to reach $10B by 2030.
What Customers Say
"We're saving 200+ hours/quarter on invoicing and receivables by completely automating our recurring billing."
- Noy Kalansky, Finance Controller, Pontera
"Zenskar automates revenue recognition accurately for our value-based billing: agents reducing manual hours by 70%."
- Matt Barnard, VP Finance, Vertice
"Zenskar's agents automated 90% of our billing, integrated with our CRM, and accelerated revenue collection by a month."
- Ming Lui, VP Finance, Yembo
"Sardine had spent 4 years running billing in-house for high-volume, usage-based pricing. Zenskar took care of it all."
- Sardine team
"We launched our product 4 months faster instead of building an in-house system for our usage-based pricing."
- Kshitij Gupta, CEO, 100ms
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.
The funding is being used to expand our Agents Marketplace and scale operations, not headcount.
Read the announcement
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.
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) HubSpot, MailerLite, 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 :)
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 HubSpot, Webflow, MailerLite, 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, LinkedIn, and newsletters.Content ops:
Manage and update sales enablement material - decks, competitor intel, battlecards, case studies.Product marketing:
Build, manage, and optimize campaigns and newsletters in MailerLite/HubSpot.Email ops:
Drive customer reviews on G2, Capterra, and SourceForge 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:
Compensation
₹10,000-20,000/month depending on role and fit
Location
Bengaluru (Hybrid) / Remote
How to apply
Our preference: Apply through Keka here.