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NominalNominalAustin, TX

Enterprise Account Executive

Owns full sales cycle for enterprise accounts, closing seven-figure deals with hardware and defense organizations. Requires 3+ years enterprise sales experience, technical fluency, and relationship-building skills in complex industrial environments.

Salary not listed
On-site3+ YOEAccount Executive

About the role

Responsibilities

  • Manage the full enterprise sales motion, including lead generation, opportunity qualification, negotiation, and closing seven-figure deals.
  • Cultivate industry relationships with decision-makers through conferences, dinners, and events.
  • Build account plans targeting innovative programs and business units.
  • Sell to customer outcomes by understanding business and technical challenges, communicating value to C-level executives, engineers, and finance teams.
  • Partner with engineering, product, customer success, business operations, and marketing for demos, discovery, and tailored messaging.
  • Maintain sales forecasts, track opportunities, and manage a robust book of business.
  • Contribute to building the scalable sales engine, strategy, and culture.

Requirements

  • 3+ years of experience in enterprise or strategic accounts closing seven-figure deals, ideally selling technical products to industrial companies.
  • Experience in complex solution selling, pulling in cross-functional teams.
  • Technical fluency in discussing workflows with systems architects, technical integrators, or mechanical engineers.
  • Ability to build trusted relationships and navigate organizational dynamics.
  • Industry experience in software sales to data, infrastructure, or industrial/manufacturing environments.
  • Dynamic leader and team player with humility, eagerness to learn, and empathy.
  • Willingness to travel.

Nice-to-Haves

  • Sales technology fluency: HubSpot, Salesforce, LinkedIn Sales Navigator, ZoomInfo, Common Room, Slack, Notion, AI tools.
  • Product familiarity: AWS, Azure, Databricks, Datadog, Snowflake, MATLAB, Grafana.
  • Data engineering proficiency: SQL, Python, Pandas, Influx, Timescale, Spark, Arrow, Kafka, Beam, Flink.
  • Technical background or degree in mechanical engineering or heavy industry.

Benefits

  • 100% coverage of medical, dental, and vision insurance.
  • Unlimited PTO and sick leave.
  • Free lunch, snacks, and coffee.
  • Professional development stipend.
  • Annual company retreat.

Skills

SalesforceHubSpotLinkedIn Sales NavigatorZoomInfoAWSAzureDatabricksDatadogSnowflakeSQLPython

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