Mid-Market Account Executive

Posted Yesterday
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2 Locations
Remote or Hybrid
100K-140K Annually
Mid level
Artificial Intelligence • Machine Learning • Software
The Role
Own the full sales cycle for mid-market customers, including prospecting, inbound lead management, discovery, pipeline development, solution presentation, negotiation, forecasting, and closing. The role focuses on new logo growth, value-based multi-stakeholder sales, quota attainment, and building lasting client relationships. Candidates should be comfortable selling technical or workflow software and operating independently in a fast-paced environment.
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
  • 2+ years selling into mid-market accounts
  • Consistently meeting or exceeding quota in a full-cycle sales role
  • Experience running value-based, multi-stakeholder sales cycles
  • Strong discovery and listening skills, including diagnosing operational pain and quantifying costs
  • Comfort with CRM discipline and forecasting accuracy using Salesforce, HubSpot, or similar tools
  • Excellent written and verbal communication and confidence presenting to stakeholders
  • Ability to work independently with ownership in a fast-paced, ambiguous environment
  • Experience selling technical, workflow, or automation software
  • Experience with consumption-based pricing or token-based selling
  • Knowledge 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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