Enterprise Account Executive
Nanonets is transforming how Fortune 500 enterprises work. Our AI platform eliminates the manual, time-consuming processes that bog down industries like finance, healthcare, and supply chain — turning them into seamless, automated workflows. What once required hours of human effort now takes seconds with Nanonets.
Our enterprise client footprint spans 34% of Fortune 500 companies, with deployments processing millions of documents monthly. We don't just promise enterprise-grade efficiency — we deliver it with unmatched accuracy and seamless integrations into existing enterprise infrastructure.
In 2024, we raised $29M Series B led by Accel, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year-over-year, we're building the future of enterprise work.
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The Role
We're seeking a seasoned Enterprise Account Executive to own and close seven-figure deals with Fortune 1000 organizations. This quota-carrying role requires proven experience navigating complex enterprise sales cycles, managing multiple C-level stakeholders, and driving strategic platform deployments.You'll partner directly with our founders and executive team to establish Nanonets as the enterprise standard for AI-powered automation, working with customers on transformational initiatives that impact thousands of users and millions in operational savings.
Roles and Responsibilities
- Enterprise deals from $250K to $2M+ ACV with 9-18 month sales cycles
- Relationships with C-suite executives, VPs, and senior enterprise decision-makers
- Complex procurement processes, security reviews, and enterprise compliance requirements
- Multi-stakeholder consensus building across IT, Operations, Finance, and Business Units
- Strategic account planning and expansion within existing Fortune 1000 customers
- Partnership with Solutions Engineering on enterprise architecture and technical validation
Requirements and Skills
- 5+ years selling enterprise software with consistent $1M+ annual quota achievement
- Proven track record closing deals $250K+ ACV in Fortune 1000 environments
- Experience with complex enterprise sales cycles (6+ months), procurement processes, and security/compliance requirements
- Strong relationships with enterprise IT and business stakeholders
- Demonstrated ability to navigate matrix organizations and build consensus among multiple decision-makers
- Track record of growing accounts through expansion and strategic relationship building
- Enterprise credibility - comfortable presenting to C-suite and board-level audiences
Nice to Have
- Experience selling AI/ML platforms, automation tools, or enterprise SaaS
- Background with document-heavy industries (Finance, Healthcare, Supply Chain)
- History at high-growth enterprise software companies ($100M+ ARR)
- Technical aptitude to understand platform capabilities and enterprise integration requirements
Additional Information
Hybrid role, (twice a week in our Palo Alto office), based in the Bay Area, CA. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $130,000 - $150,000 per year. In addition to base salary, compensation for this role includes performance-based commission and equity, aligned with both individual and company success.
Skills Required
- 5+ years selling enterprise software with consistent $1M+ annual quota achievement
- Proven track record closing deals $250K+ ACV in Fortune 1000 environments
- Experience with complex enterprise sales cycles (6+ months), procurement processes, and security/compliance requirements
- Strong relationships with enterprise IT and business stakeholders
- Demonstrated ability to navigate matrix organizations and build consensus among multiple decision-makers
- Track record of growing accounts through expansion and strategic relationship building
- Enterprise credibility - comfortable presenting to C-suite and board-level audiences
What We Do
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always.
