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Full-Time

Enterprise Account Executive

Confirmed live in the last 24 hours

Parallel Domain

Parallel Domain

11-50 employees

Synthetic data platform for autonomous systems

Data & Analytics
Automotive & Transportation
Hardware
VR & AR
AI & Machine Learning

Compensation Overview

$150k - $180kAnnually

+ OTE

Entry, Junior

San Francisco, CA, USA + 1 more

Category
Inside Sales
Sales & Account Management
Required Skills
Sales
Requirements
  • 1+ years of sales experience in B2B technology / enterprise software, prospecting and selling to technical customers that range from engineers to C-level executives
  • Strong technical background with experience understanding, articulating, and selling deeply technical products or solutions, such as data-as-a-service, computer vision, machine learning, API software, synthetic data
  • Must be very comfortable creating and giving presentations to large audiences
  • At home in a very fast-paced, startup environment with an ability to wear multiple hats and be successful with little structure
  • High degree of motivation and exceptional drive to succeed – proactive, curious, and tenacious are words that describe you
Responsibilities
  • Expand Parallel Domain’s customer base & drive business results with top target customers
  • Engage net new prospects by positioning how Parallel Domain technology can accelerate the development of machine learning applications
  • Own the entire sales cycle: from qualification through technical evaluation, account management during the pilot phase, negotiation, and ARR deal execution
  • Partner with Solutions Engineers to qualify prospects, ensure pilots are successful, and to drive strategic deals & account expansion
  • Exceed quarterly and annual quota - you are an overachiever!
  • Drive pipeline generation by attending conferences, industry events & meetups -- build your network within the industry.
  • Bring feedback from prospects and customers back to product & engineering teams to enable continuous improvement of products & value to customers

Parallel Domain is a synthetic data platform focusing on 3D simulation and generative AI to support industries like autonomous vehicles and drones. This specialization fosters a technologically advanced and forward-thinking environment, making it an excellent workplace for those interested in contributing to the development of autonomous systems and machine learning applications. The company emphasizes high-quality, diverse data sets and accurate annotations, establishing itself as a leader in its field and providing its staff with the opportunity to work on cutting-edge technology and innovative solutions.

Company Stage

Series B

Total Funding

$43.9M

Headquarters

Palo Alto, California

Founded

2017

Growth & Insights
Headcount

6 month growth

1%

1 year growth

-22%

2 year growth

-23%
Simplify Jobs

Simplify's Take

What believers are saying

  • Parallel Domain's innovative products like PD Replica and Reactor can significantly enhance AI performance, making it a leader in synthetic data generation.
  • The company's recent $30M Series B funding round indicates strong investor confidence and provides ample resources for further innovation and growth.
  • Their focus on synthetic data addresses critical needs in autonomous driving, potentially leading to widespread adoption and industry partnerships.

What critics are saying

  • The reliance on synthetic data may face skepticism from industries traditionally dependent on real-world data, potentially slowing adoption.
  • High competition in the AI and autonomous vehicle sectors could pressure Parallel Domain to continuously innovate to maintain its edge.

What makes Parallel Domain unique

  • Parallel Domain specializes in high-fidelity synthetic data generation, setting it apart from competitors who rely on real-world data collection.
  • Their PD Replica product uniquely transforms real-world photos, videos, and 3D scans into digital twins, enhancing autonomous vehicle testing.
  • The integration of generative AI with 3D simulation in their Reactor engine provides unparalleled control and scalability for machine learning developers.