Enterprise Account Executive

Reposted 4 Days Ago
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Palo Alto, CA, USA
In-Office
130K-150K Annually
Senior level
Artificial Intelligence • Machine Learning • Software
The Role
The Enterprise Account Executive will manage high-value sales with Fortune 1000 clients, navigating complex procurement and building relationships with C-suite executives to drive strategic platform deployments.
Summary Generated by Built In

About Us

Nanonets agents are built for complex business processes. Ranked #1 in understanding unstructured data and applying business rules in processes like accounts payable, order management, and supply chain.

Nanonets agents handle the exceptions other tools miss, reducing processing time by 94% and delivering clean data to SAP, Salesforce, or any system of record. 

That's why global enterprises reach for Nanonets when workflows are complex and accuracy is non-negotiable.

Learn more about us here:

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Hugging Face

Nanonets Research


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
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The Company
HQ: San Francisco, CA
58 Employees
Year Founded: 2017

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.

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