Sales Engineer

Reposted 21 Days Ago
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Office, Machaze, Manica
3-7 Annually
Mid level
Artificial Intelligence • Fintech • Payments • Software • Financial Services
The Role
The Sales Engineer acts as a technical consultant, conducting product demos, supporting sales teams, and collaborating with engineering teams to address customer needs and enhance product features.
Summary Generated by Built In

Key Responsibilities 

  • Act as a technical consultant to the sales team, supporting them in customer meetings, pitches, and negotiations. 

  • Conduct product demos and technical presentations, translating complex technical concepts into clear, customer-friendly language. 

  • Work with engineering teams (backend & frontend) to align product capabilities with customer requirements. 

  • Assist in RFPs, RFIs, and technical documentation to support the sales process. 

  • Troubleshoot customer issues pre-sale and help remove technical blockers. 

  • Gather customer feedback and work with product & engineering teams to refine features. 

  • Train sales reps on the technical aspects of our products, improving their ability to communicate value to prospects. 

Requirements 

  • 3–7 years of experience in a Sales Engineer, Solutions Engineer, or similar role. 

  • Strong technical background 

  • Ability to explain complex technical concepts in a simple and engaging way. 

  • Hands-on experience with product demos, pre-sales engineering, and customer-facing roles

  • Experience collaborating with sales, product, and engineering teams

  • Strong problem-solving skills and ability to manage technical discussions with clients. 

Nice to Have 

  • Prior experience working in a startup or fast-paced environment

  • Familiarity with backend/frontend technologies (e.g., Node.js, Python, React, etc.). 

  • Exposure to AI/ML, OpenAI APIs, or Data Analytics platforms

Top Skills

Ai/Ml
Data Analytics Platforms
Node.js
Openai Apis
Python
React
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The Company
HQ: San Francisco Bay Area, California
143 Employees

What We Do

ZZAZZ transforms digital content into a real-time tradable asset through its revolutionary Large Pricing Model (LPM)—an advanced AI-driven system that dynamically assigns accurate market values based on billions of engagement signals, real-time user interactions, and live market data. With ZZAZZ, creators and publishers gain immediate clarity on their content’s true economic worth, enabling precise monetization strategies and maximizing revenue opportunities effortlessly. Forget outdated static pricing models—ZZAZZ ensures every piece of content captures its fair value, instantly responding to real-world demand shifts, making your content strategy smarter, more profitable, and future-proof.

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