Skip to content
PALM SOUQ

Sales · Senior individual contributor

Enterprise Account Executive

Sell the Scale plan to AI platforms and enterprise software companies with large LLM spend, working alongside a named FinOps architect on every deal.

roles/enterprise-account-executiveOpen
Location
Chennai, Tondiarpet (hybrid, with travel)
Type
Full-time, Senior individual contributor
Base salary
₹40L to ₹60L per year + equity
Posted
1 Oct 2026 · open until 31 Dec 2026

Stack

  • HubSpot
  • Gong
  • Google Workspace
  • Our ROI model templates
  • The PALM SOUQ sandbox

About the role

Our Scale customers spend more than $30k a month on LLM APIs, and their buying committee usually includes a VP of Engineering worried about latency and availability, a Head of FinOps worried about gross margin, and a security team that needs to understand Zero Payload Retention before anything else. The Enterprise Account Executive leads those deals from first call to signed order form.

This is consultative selling grounded in arithmetic. A good PALM SOUQ deal starts with the customer's own numbers: how many tenants they have, what each plan earns, what each tenant costs in tokens, and what one unbounded agent loop would cost them. You will learn to build that model with the customer, in the first meeting.

What you will do

  • Own a territory of AI platforms and enterprise SaaS companies across India, Singapore and the US, from pipeline generation to close.
  • Run discovery with engineering and finance leaders, and build margin and loss models with them using their own usage data.
  • Coordinate security reviews, the DPA and BAA process, procurement and contract negotiation with our legal team.
  • Work with a named FinOps architect on technical validation during the 14-day production trial.
  • Keep an accurate forecast and give the product team structured feedback from every won and lost deal.

What we are looking for

  • 5+ years of B2B SaaS sales, with at least 3 years closing enterprise deals with technical buyers.
  • A track record of selling developer tools, infrastructure, data or security products.
  • Comfort with numbers: you can build a unit economics model in a spreadsheet during a call.
  • Experience selling to US-based buyers from India.

Nice to have

  • Experience with usage-based pricing or consumption contracts.
  • Familiarity with LLM APIs and how they are billed.
  • An existing network in the Indian or Southeast Asian AI startup ecosystem.

If you meet most of the first list and none of the second, please apply anyway.

Your first 90 days

  1. Days 1 to 30

    Learn the product deeply enough to run the 15-minute demo, shadow ten customer calls, and build your account plan.

  2. Days 31 to 60

    Run your own discovery calls and take two opportunities into a production trial.

  3. Days 61 to 90

    Close your first Scale opportunity or have a committed forecast for it.

Interview process

#StageWhat happens
1Intro call (30 min)With our sales lead, covering your background and territory experience.
2Discovery role-play (60 min)Run a discovery call with a Head of FinOps worried about margin on flat-rate plans.
3Business case presentation (60 min)Present a margin and loss model from a short data set we share in advance.
4Founder (45 min)A conversation with Vineet Saresar, Founder & CEO.

Need an adjustment for any stage, such as extra time or a different format? Tell us in your application or at careers@palmsouqltd.com.

See the product you would be building

PALM SOUQ meters every token per tenant and stops runaway agent loops in the request path. The sandbox shows both in under a minute.

14-day free production trial · 100k requests included · no card required