Sales Engineer

Reposted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica
Remote
Mid level
Artificial Intelligence • Fintech • Payments • Software • Financial Services
The Role
The Sales Engineer will manage technical onboarding, integrate ad technologies, optimize automation workflows, troubleshoot issues, and communicate effectively with sales and technical teams.
Summary Generated by Built In

Responsibilities

• Own and execute technical pre-onboarding and integration tasks for publishers and

demand partners, ensuring smooth and timely go-lives.

• Act as the technical counterpart to Sales, supporting partner conversations around

Ad Exchange connectivity, VAST integrations, SDKs, APIs, and bidding flows

(RTB/programmatic).

• Design, build, and optimize automation scripts and workflows using Python to

streamline onboarding and operational processes.

• Support integrations across display, video, and in-app environments, including

VAST/VPAID, server-side and client-side setups.

• Implement and manage caching strategies using Cloudflare or similar CDN

technologies.

• Use Google Developer Console and browser debugging tools to troubleshoot

integration, performance, and delivery issues.

• Perform API testing, validation, and debugging using Postman collections.• Analyze logs and Application Performance Monitoring (APM) data to identify issues

related to ads delivery, bidding, latency, and fill rates.

• Collaborate closely with Sales, QA, Engineering, Product, and AI/Data teams to

proactively resolve partner issues and optimize integrations.

• Troubleshoot both backend and frontend problems related to ads, bidding, SDKs,

and Ad Exchange connectivity, providing clear root-cause analyses.

• Document integration guides, troubleshooting playbooks, and best practices for

internal teams and external partners.

• Communicate complex technical concepts clearly to non-technical stakeholders

and clients.

• Support IP-based configurations including whitelisting, access controls, and

security best practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or

equivalent practical experience).

• Strong understanding of AdTech fundamentals, including:

o Ad Exchanges and programmatic bidding (RTB)

o VAST/video ad integrations

o Ads delivery workflows and monetization stacks

• Proficiency in Python for scripting and automation.

• Hands-on experience with Cloudflare or similar CDN/caching solutions.

• Practical experience using Google Developer Console and browser dev tools for

debugging.

• Experience with API testing using Postman and API collections.

• Familiarity with integrating and debugging SDKs in publisher environments.

• Experience working with logging and APM tools (e.g., Datadog, New Relic, Grafana,

Kibana).

• Strong troubleshooting skills across both frontend and backend systems.

• Solid analytical mindset, attention to detail, and excellent documentation habits.

• Understanding of authentication and authorization mechanisms.

• Proactive, self-driven, and comfortable operating in a fast-paced, sales-driven

environment.Preferred Skills

• Familiarity with CI/CD practices.

• Working knowledge of JavaScript or other frontend technologies.

• Prior experience in SaaS, AdTech, or AI-first companies.

Top Skills

Cdn
Cloudflare
Google Developer Console
JavaScript
Postman
Python
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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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