The role:
As a Solutions Engineer, you will help Account Executives close more revenue by providing everything needed throughout the sales process: technical demos, trials, and post-sales onboarding (in partnership with the Technical Support team). This role requires deep technical knowledge in networking and computer science to support multiple Coram product lines.
What you'll do:
- Join sales demos as needed to answer technical questions from prospects
- Bring strong technical credibility to customer calls
- Help Account Executives architect solutions to meet customer needs
- Troubleshoot and resolve technical issues during trials and onboarding
- Write or update product documentation where gaps exist
- Work closely with Technical Support Engineers as deals close and customers are onboarded
What we're looking for:
- Bachelor's degree in Computer Science, Networking, IT, or a related field
- 2–5 years of experience in computer networking
- Proficiency in Bash, Python, and API integrations
- Ability to read and understand API documentation to integrate with the Coram application
What we offer:
- Competitive compensation package
- 100% employer-paid medical, dental, vision, and life insurance
- Paid time off and holidays
- 401(k) with traditional and Roth options
- Equity in a rapidly growing company
- Regular team dinners, off-sites, and social events
- The latest Apple hardware and the tools you need to do your best work
Compensation:
The OTE range for this role is $100,000–$180,000, plus equity.
About Us
Coram AI is an early-stage, fast-growing startup. Leading U.S. businesses, including Fortune 500 companies, are customers of the Coram AI software platform. We are bringing the latest advances in Generative AI to physical security, a massive industry dominated by incumbents. Coram AI works with any existing IP camera and adds AI to it within minutes. We are enabling customers to deploy thousands of cameras across the U.S.
The team behind Coram AI comprises serial entrepreneurs and technology leaders who have spent more than a decade building self-driving cars at institutions like Stanford University, Oxford University, Zoox, and Lyft.
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