Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
We are looking for experienced Account Executives to join our enterprise sales team. This role is for sales professionals who thrive in consultative, high-stakes B2B environments and can manage long, complex deal cycles with large organisations. If you have sold SaaS, enterprise tech, or transformation solutions to Indian BFSI companies, we want to hear from you.
What You'll Do
• Drive end-to-end enterprise sales cycles — from lead generation to contract closure — for Sarvam's conversational AI solutions
• Build trusted relationships with key decision-makers and influencers across large enterprises, particularly banks, NBFCs, and insurers
• Understand client pain points and work with internal teams (product, engineering, legal) to structure high-impact solutions
• Manage multiple stakeholders, navigate complex procurement processes, and coordinate with customer success teams to ensure seamless deployments
• Stay current on market trends, the competitive landscape, and customer needs in the enterprise AI and BFSI space
What We're Looking For
• 5–9 years of enterprise sales experience with demonstrated success selling to large organisations, ideally in BFSI
• Track record managing high-value deals with 6+ month sales cycles
• Familiarity with procurement, legal, and compliance processes at large Indian organisations
• Strong consultative selling and solutioning ability
• Deep understanding of enterprise tech and SaaS sales
• Ability to work cross-functionally and influence without authority
• Comfortable operating in low-information, high-ambiguity environments
Bonus Points
• Enterprise SaaS sales experience, particularly in AI/ML, analytics, or automation
• Technology sales to banks or financial institutions
• Pre-sales or solutioning experience in enterprise tech with BFSI exposure
• Business development experience at startups or scale-ups targeting large Indian enterprises
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
Skills Required
- 5-9 years of enterprise sales experience
- Proven experience selling SaaS or enterprise technology to large organisations
- Track record managing high-value deals with 6+ month sales cycles
- Familiarity with procurement, legal, and compliance processes at large Indian organisations
- Strong consultative selling and solutioning ability
- Deep understanding of enterprise tech and SaaS sales
- Ability to work cross-functionally and influence without authority
- Comfortable operating in low-information, high-ambiguity environments
- Experience selling to BFSI (banks, NBFCs, insurers)
- Enterprise SaaS sales experience in AI/ML, analytics, or automation
- Technology sales to banks or financial institutions
- Pre-sales or solutioning experience in enterprise tech with BFSI exposure
- Business development experience at startups or scale-ups targeting large enterprises
What We Do
We are an AI/ML research and development company on a mission to build reliable, performant, enterprise-grade AI systems at scale for India. We are committed to build the full-stack for generative AI for the rich & diverse landscape of India, mainly investing in: 1) Models: developing both efficient large scale Indic language models as well as bespoke enterprise models 2) Platform: building an enterprise-grade platform that empowers organisations to develop and ship creative and performant genAI applications at scale 3) Ecosystem: contributing to open-source models and datasets, as well as leading efforts for large scale data curation in public-good space
