Sales Engineer (#06)

Materials Zone platform enables materials scientists and engineers to accelerate their research, discover new materials, use ML guidance to forecast outcomes, and achieve improved results. Our platform automatically harvests experimental data and structures it into a personalized database to enable analyses with state-of-the-art AI/ML algorithms.

We are currently located in our Tel Aviv offices. However, we offer the option to work remotely, as long as it's in a European time zone (GMT+4 or less), for ideal communication with our team and customers.

About the role:
We are looking for a Sales Engineer to join our growing startup! She/he will have a strong understanding of the Materials Science field and work closely inbound with our sales, marketing, customer success, and development teams, and outbound with customers and other stakeholders. This pivotal position will require you to demonstrate your skills on both business and technological challenges and contribute to the company’s expansion and growth.

- Constantly analyze the Materials Science industry and key players
- Communicate with potential and existing customers
- Work closely with internal stakeholders
- Product and domain use cases content writing
- Coordinate projects, draft and submit grants and research proposals
- Take part in defining the product’s vision and roadmap

- 3+ years of work experience in the Materials Science industry
- B.Sc. in Materials Science or Materials Engineering
- Strong understanding of the materials industry and work processes
- Fast learner
- Get-job-done attitude
- Great attention to details, organized and methodological approach
- Excellent communication and interpersonal skills
- Passion for technology
- Fluent in English

- M.Sc. or Ph.D. in Materials Science or another relevant field
- Experience with AI/ML in the previous work environment or knowledge of the basic concepts
- CRM systems work experience
- Experience in at least one area: Electrochemistry, metrology, metallurgy, optoelectronics, thin films, energy storage, semiconductors, or polymers
- Programming and/or data science experience

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