Own India's largest enterprise legal, tax, and compliance accounts as a Senior Account Executive at Lexlegis.ai, an AI-powered legal intelligence platform. This on-site role in Delhi NCR, Bengaluru, or Mumbai requires 8–12 years of enterprise SaaS sales experience, a track record of ₹50L+ quarterly quotas, and the ability to multi-thread across legal, tax, compliance, and IT stakeholders.

About the Company

Lexlegis.ai is India's AI-powered legal intelligence platform, purpose-built for the legal and tax domains. The platform is built on more than 14 million curated legal documents and draws on nearly 90 years of legal publishing heritage. It blends advanced artificial intelligence with deep legal expertise to help lawyers, tax professionals, and compliance teams research, draft, and decide faster — with every answer traced back to its source. Lexlegis.ai serves law firms, in-house legal teams, tax teams, enterprises, and government bodies operating in complex regulatory environments. The organisation values innovation, domain knowledge, and practical problem-solving. Team members work closely with legal experts and technologists to shape the future of legal operations in India.

Role Overview

The Senior Account Executive – Corporate is a full-time, on-site role based in Delhi NCR, Bengaluru, or Mumbai. This individual will own a named list of large enterprise accounts and report to the Manager – Corporate. The role is measured on a single number: recurring revenue and contract value against target, backed by three times pipeline coverage, strong proof-of-concept (PoC)-to-close conversion, and expansion revenue from accounts landed. India's largest enterprises buy only when legal, tax, compliance, and IT teams all agree that the business case is strong, the security holds up, and the contract is right. The Senior Account Executive will orchestrate this alignment, landing each account through legal and growing it into tax and compliance. This includes presenting to General Counsels and C-level offices, tax and compliance leaders, and IT, InfoSec, and procurement teams — working alongside Solution Engineers and Customer Success in every deal.

Key Responsibilities

• Own a named list of large enterprise accounts and work it continuously.
• Travel regularly to meet enterprise buyers in person, both within the city of posting and to other cities.
• Maintain pipeline coverage at three times the target at all times.
• Multi-thread across legal, tax, compliance, and IT so that no deal rests on a single champion.
• Build business cases that hold up in front of senior management and key decision-makers.
• Design and run proofs of concept (PoCs) with a Solution Engineer against agreed exit criteria.
• Negotiate master service agreements (MSAs), data processing agreements (DPAs), and security annexures through to signature.
• Land accounts through legal, then expand into tax and compliance.
• Grow every landed account into a multi-team, multi-product relationship.
• Feed market intelligence from enterprise buyers back into the product roadmap.

Tech Stack

This is an enterprise sales role, so the tech stack centres on the product being sold and the sales productivity tools used:

• Enterprise SaaS platforms (CRM such as Salesforce)
• AI/LLM technologies and Generative AI (Gen AI) applications
• Legal research and workflow platforms
• RFP and InfoSec review tools
• E-signature and contract lifecycle management (CLM) software
• MS Office / Google Workspace
• Pipeline and forecasting tools

8 to 12 years of total experience, including at least 5 years as an enterprise SaaS Account Executive; record of carrying a quarterly quota of ₹50 lakh or more; experience selling research, workflow, or compliance software to General Counsels or C-level offices; direct ownership of full RFP and InfoSec review cycles; patience for long multi-stakeholder sales cycles; willingness to travel regularly; graduate degree in any discipline. Good to have: experience selling AI/LLM/research products; law degree, CA, or CS qualification.

Work with India's largest enterprises with big-ticket deal sizes; sell Generative AI into a knowledge-intensive industry; direct influence on the product roadmap from enterprise buyer feedback; clear growth path into enterprise sales leadership as the company scales.