Product Builder — ZenduIT​/GoZen

ZenduIT / GoZen is an AI-powered IoT and fleet technology company helping businesses make their operations safer, smarter, and more efficient.

We combine connected hardware, software, analytics, automation, and AI to help customers turn vehicle, asset, driver, and maintenance data into meaningful insights and actionable decisions.

We are growing our engineering team and looking for a builder who enjoys solving real problems, learning quickly, and using technology—including AI—to create practical solutions.

As a Software Engineer – AI & Product Engineering
, you will work at the intersection of software engineering, product development, AI, and real-world customer problems.

You will not simply be building features from a predefined list of requirements. You'll have opportunities to understand the problem, explore potential solutions, build them, test them, and improve them based on feedback.

We're open to both:

• Emerging developers with strong projects, academic work, or demonstrated ability to build; and
• Experienced software engineers who want broader product ownership and the opportunity to work with AI.

Your level of responsibility will grow based on your experience, capability, and demonstrated ownership.

• Build and improve software solutions that address real customer and operational problems
• Work closely with Product and Engineering to understand requirements and develop practical solutions
• Develop, test, debug, and deploy software features
• Investigate data and customer problems to identify opportunities for improvement
• Use AI and modern development tools to accelerate research, development, testing, and problem-solving
• Participate in technical discussions, code reviews, and solution design
• Learn from customer and internal feedback and continuously improve solutions
• Take ownership of projects and deliver results with increasing independence

AI is an important part of how we build at ZenduIT.

We encourage our engineers to use AI tools thoughtfully to improve research, coding, debugging, testing, documentation, analysis, and problem-solving
.

You don't need to be an AI specialist. However, you should be curious about AI and comfortable experimenting with tools such as ChatGPT, Claude, Git Hub Copilot, or similar technologies
.

We value judgment over blind automation
. You should be comfortable reviewing, validating, testing, and improving AI-generated work rather than simply accepting the output.

Experience with some of the following is valuable:

• Angular
• Node.js
• MongoDB
• SQL
• REST APIs and integrations
• Data analysis and analytics
• Automation
• AI / LLM-powered applications

You do not need experience with every technology listed above. We care more about your ability to learn, build, solve problems, and apply technology effectively.

Experience in SaaS, fleet management, telematics, IoT, connected vehicles, or operational technology is an asset but not required.

We're looking for someone who demonstrates:

• Builder Mindset – You enjoy creating, improving, and finding better ways to solve problems.
• Learning Agility – You can quickly learn new technologies, products, and concepts.
• Problem-Solving – You can break down ambiguous problems and develop practical solutions.
• Ownership – You take responsibility for your work and follow through to completion.
• Product Thinking – You care about why something is being built, not just how it is built.
• Curiosity – You ask questions and want to understand the underlying problem.
• AI Leverage – You are interested in using AI to become a more effective engineer.

Imagine a fleet manager receives hundreds of maintenance alerts and struggles to identify which issues require immediate attention.

• Investigate the…