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Sales Engineer at ParallelM
Sunnyvale, CA, US

We are looking to hire a Sales Engineer to serve as the lead technical sales evangelist and subject matter expert for all things ParallelM, as our product matures from proof of concept to deal phase. You will work hand in hand with Sales to drive sales through a consultative approach. A strong technical aptitude and the ability to communicate complex technical solutions to both technical and non-technical audiences will be critical to your success. You will encounter a wide variety of customer environments and you will be challenged day to day to learn new things.  This individual will play a fundamental role in the success of ParallelM, a venture backed startup
pioneering a new category, Machine Learning Operations Management (ML Ops), within the red-hot fields of AI/Machine Learning.

The ideal candidate is passionate about the rapidly growing field of AI,
embraces the pace and demands of a venture-backed startup, and is excited about the opportunity to accelerate their career advancement in alignment with the growth and success of the company.  The ability to know what you don’t know will be equally critical to your success.

 

Responsibilities:

  • Act as the ParallelM subject matter expert, the customer’s trusted advisor and Account Executives best friend
  • Demonstrate expertise of the ParallelM product and the markets we serve
  • Lead customers through the technical parts of the funnel – qualify POCs and gauge propensity to make these investments worthwhile for the company
  • Ask great questions and be a great listener – communication is critical
  • Own the technical aspects of RFP responses
  • Host pre-sales technical implementation calls with prospects, including C-level executives
  • Confidently deliver full product demonstrations of ParallelM’s MLOps product suite
  • Document implementation considerations and create solution design documents to provide to post-sales engineering
  • Guide clients’ best practices for testing, deployment, and integration
  • Oversee implementation to ensure a smooth onboarding experience for customers
  • Maintain accurate and timely information in a CRM system

 

Qualifications:

Education: Bachelor’s degree in Computer Science, Information Technology, Business, or other relevant subject

Work Experience: 3+ years of experience as a Sales/Solutions Engineer, preferably in a start-up environment

 

Skills:

  • Proven success as a Sales Engineer, in a hands-on customer facing technical role
  • A quick learner proficient in using technology and sales tools, that embraces working in a fast-paced, dynamic start-up environment
  • Highly effective communicator; excellent verbal, written and presentation skills
  • Takes ownership of time management and organization
  • Demonstrated experience gathering and understanding customer business requirements
  • Demonstrated experience in deeply understanding customer-side processes of evaluation and decision making
  • Knowledge of Machine Learning workflows, pipelines and engines, strongly preferred
  • Familiarity with common data center infrastructure and application delivery models
  • Comfortable deploying on premise and cloud based solutions, as well as experience with Linux, Python, Scala, and Java, preferred
  • Confident and skilled in navigating C-level conversations with technical and nontechnical individuals
  • Comfortable traveling as needed in support of sales activities, including customer meetings, trade shows, and ParallelM events

 

Work Environment:
This position is based in the San Francisco Bay Area. Occasional travel is required.

 

To express interest in this position or any other opportunities with ParallelM, please email and attach an updated resume. Thank you!

 

About ParallelM:
We are the ML Ops software company.  Our mission is to help enterprises unlock the value of AI faster by automating, scaling, and optimizing all aspects of Machine Learning operations in Production.  ParallelM is backed by leading venture firms, led by successful veterans from the enterprise software space, and powered by an exceptional technical team with deep expertise in data science, distributed computing, and machine learning.