Enterprise Sales Engineer

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About the Job:

As Enterprise Sales Engineer at Samasource, you enjoy working directly with customers to solve challenging AI problems. You are equally comfortable in both business and technical context, interacting with executives and talking shop with technical audiences. Straddling the product and sales organizations you will work directly with the sales team to understand the needs of our customers and navigate complex sales cycles. You will be a technical guide, providing compelling value-based demonstrations and supporting enterprise Proof of Concepts. 


Key Responsibilities: 

  • Demonstrate the value of Samasource technology throughout the sales cycle, from demo to proof of concept to design and implementation.
  • Become an expert in Samasource products from a business and technical standpoint.
  • Serve as a trusted advisor for your customers, designing computer vision, NLP, and training data strategies.
  • Keep Marketing and Product informed with feedback gathered from customer meetings. 
  • Lead custom development required to support customer pilots and POCs; this can require lite coding/scripting.
  • Partner with Sales, Product, and Engineering teams to design customer solutions that artfully balance the symbiosis between technology and humanity.


Minimum Qualifications:

  • 3+ years of industry experience with 1+ years of experience selling SaaS products and working with enterprise customers in one of the following roles: technical pre-sales, sales engineer, solutions engineer, or technical consultant.
  • University degree in computer science, engineering, mathematics, a related field, or equivalent experience.
  • Be a skilled presenter at any level and setting: engineers, data scientists, C-level executives, meetups and conferences.
  • Be a problem solver, thriving in a dynamic environment and have the flexibility and willingness to jump in and get things done.
  • Hands on experience with scripting languages and web technologies such as XML, JSON and RESTful APIs.


Preferred Qualifications:

  • Knowledge of Machine Learning, Computer Vision, or Natural Language Processing.
  • Interest in Software SDLC 2.0, where apps are driven as much by training data as source code -- our customers are software engineers and data scientists!
  • Development experience in web development languages (i.e. Python, NodeJS etc.).


About Samasource:

25% of the Fortune 50 trust Samasource to deliver secure, high-quality training data and validation for the technology teams driving humanity forward. From self-driving cars to smart hardware, Samasource fuels AI. Founded over a decade ago, we’re experts in image, video and sensor data annotation and validation for machine learning algorithms in industries including automotive, navigation, AR/VR, biotech, agriculture, manufacturing, and e-commerce. Our staff are driven by a mission to expand opportunity for low-income people through the digital economy, and our social business model has helped lift over 50,000 people out of poverty.

  • Featured in Forbes: How to Train Your AI Dragon (Safely, Easily, and Without Bias)
  • Samasource Press Page


Our Culture:

Samasource is quite unique. We are a technology company with a social mission. People that thrive in a high growth environment, love working on the bleeding edge of technology, and really care about having a positive impact on the world are a great fit for the Samasource culture. Our core values are grit, integrity, humanity, and GTD (Get Things Done).


Our Benefits:
Samasource offers competitive compensation commensurate with experience and a full benefits package, including: medical, dental, and vision insurance, FSAs, HSAs, short- and long-term disability insurance, life and AD&D insurance, employer-matching 401K, pre-tax commuter benefits, generous holiday and vacation policies, sabbaticals, paid disability and baby bonding leave, a monthly fitness stipend, and professional development opportunities.


At Samasource, we take pride in being a diverse and equal opportunity employer.

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Location

2017 Mission St, San Francisco, CA 94110

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