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Top Skills:
AvAWSAzureBashEdrFirewallForensicsGCPHips/IdsIncident ResponsePowershellPythonSIEMVirtualization/Vdi
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
The Sales Engineer supports revenue goals by providing presales technical support, demonstrating product capabilities, and engaging with clients to facilitate solution delivery.
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HR Tech • Information Technology • Professional Services • Sales • Software
As a Sales Engineer, engage with prospects to identify financial challenges, deliver presentations, and collaborate with internal teams to drive sales success.
Top Skills:
Cloud-Based Fp&AFinancial Planning And Analysis Software
Sales Engineer:
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.
Key Responsibilities :
- Delivering polished, in depth product demos to prospects
- Leading product evaluations, demonstrating attainment of success criteria for prospects
- Working cross functionally, with engineering to influence product roadmap, features, and reporting bugs
- Use deep product knowledge, and general tech understanding, to be consultative and devise solutions to customer problems
- Be able to explain complex data analytics and AI topics to people
- Empower prospect employees to champion and advocate for our solution
Qualifications :
- 7+ years of experience in an enterprise environment with Sales Engineering, Consulting, or other technical customer-facing roles
- Strong understanding of SaaS solutions and web app fundamentals
- Strong business acumen, and polished presentation skills, with an aptitude for explaining complex technical concepts to laypeople
- Experience with data analytics tools and methodologies
- Basic Familiarity with ML and AI conceptsEager to learn, try new things, and take calculated risks
- Data-driven, a process-oriented individual who can point to ways you’ve upleveled the product/process and people in your professional experience past
- Desire to work in a dynamic startup where your input is desired to help craft our offerings and how we interact with clients
Compensation: We offer market-competitive compensation, based on the skill set and aptitude of the candidate.
What's In It for You :
- Vacation/PTO
- Medical
- Vision
- 401k
- Dental
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
