Mid-Market Account Executive

Posted 8 Hours Ago
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Palo Alto, CA, USA
In-Office
100K-140K Annually
Mid level
Artificial Intelligence • Machine Learning • Software
The Role
Own full sales cycle for mid-market accounts: prospect, qualify inbound leads, run value-based multi-stakeholder deals, negotiate and close, maintain client relationships, build pipeline, and use CRM for disciplined forecasting.
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:

Youtube

Hugging Face

Nanonets Research

The Role

NanoNets is looking for a Mid-Market Account Executive to drive new logo growth across our mid-market segment. You will own the full sales cycle — prospecting, running deals, and closing — with a focus on moving quickly and building a strong pipeline. Currently the pipeline is 50% inbound and 50% self sourced.

Roles and Responsibilities:

  • Serve as Nanonets' voice! Will be the first point of contact for inbound leads
  • Negotiate and close deals while maintaining strong, lasting client relationships
  • Identify new potential customers, develop approach strategies, and continually build a healthy opportunity pipeline
  • Uncover customers' business needs and propose tailored solutions
  • Track and coordinate all activity across each account
  • Analyze marketing trends and market conditions to inform sales goals and go-to-market strategy

Requirements and Skills:

  • 3+ years of sales closing experience, including 2+ years selling into Mid-Market accounts
  • Track record of consistently meeting or exceeding quota in a full-cycle sales role
  • Comfort running value-based, multi-stakeholder sales cycles (not just relationship or transactional selling)
  • Experience selling technical, workflow, or automation software is a plus 
  • Strong discovery and listening skills, able to quickly diagnose a prospect's operational pain and quantify the cost of the status quo
  • Comfortable with CRM discipline and forecasting accuracy (Salesforce, Hubspot or similar)
  • Excellent written and verbal communication; confident presenting to stakeholders
  • Self-starter who can operate with real ownership in a fast-paced, ambiguous environment 

Nice to have:

  • Experience working on consumption based pricing / selling tokens
  • Some knowledge around or a high level understanding of large language models, RAG and model fine-tuning

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 $ 100k - 140k  and the total compensation package will also include commission-based variable pay (OTE) and equity participation, aligned with role scope and performance.

Skills Required

  • 3+ years of sales closing experience, including 2+ years selling into Mid-Market accounts
  • Track record of consistently meeting or exceeding quota in a full-cycle sales role
  • Comfort running value-based, multi-stakeholder sales cycles
  • Experience selling technical, workflow, or automation software
  • Strong discovery and listening skills; able to diagnose operational pain and quantify cost of status quo
  • Comfortable with CRM discipline and forecasting accuracy (Salesforce, HubSpot or similar)
  • Excellent written and verbal communication; confident presenting to stakeholders
  • Self-starter able to operate with ownership in a fast-paced, ambiguous environment
  • Experience working on consumption based pricing / selling tokens
  • Some knowledge or high-level understanding of large language models, RAG and model fine-tuning
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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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