Full-Stack Builder (AI-Augmented Intelligent Operations Builder)

Position Overview
Trackonomy is pioneering the next-generation operating system for the connected world, leveraging smart labels, multi-radio IoT devices, agent-based intelligence, and the Sentient AI platform to deliver true end-to-end visibility, automation, control, and remediation across global supply chains. Our vertically integrated solutions transform physical assets into intelligent, communicative objects, addressing mission-critical challenges in logistics, healthcare, cold chain, industrial operations, manufacturing, and beyond.

Inspired by industry-leading transformations in AI-driven development—as highlighted by visionaries including Microsoft CEO Satya Nadella—this role consolidates traditionally siloed functions into a unified Full-Stack Builder position. The Full-Stack Builder assumes comprehensive ownership of features, modules, or customer-facing capabilities within Trackonomy’s platform ecosystem. By harnessing advanced AI tools for code generation, design automation, reasoning, testing, and orchestration, one individual can span product strategy through full implementation and deployment, dramatically accelerating innovation in real-world IoT and AI applications.

This represents a profound evolution from prior specialized roles, collapsing boundaries to enable faster iteration, reduced coordination overhead, and greater individual impact in a high-stakes domain where physical-world connectivity meets enterprise-scale intelligence.

Roles Combined and Relation to Prior Positions
The Full-Stack Builder integrates the following disciplines, which were historically distributed across separate teams:

• Product Management: Previously a dedicated role focused on market needs, prioritization, roadmaps, and metrics definition. Now embedded to ensure tight alignment between vision and execution.
• Program Management / Delivery Coordination: Once handled by program managers overseeing timelines, dependencies, and cross-functional synchronization. Now internalized to support autonomous, rapid delivery cycles.
• UX/UI Design: Traditionally the domain of specialized designers creating wireframes, prototypes, and interaction patterns. AI-assisted tools now enable builders to own intuitive, user-centric interfaces for dashboards, mobile apps, and operational controls.
• Front-End Engineering: Focused on client-side technologies (e.g., responsive web applications, real-time visualizations of asset tracking data). Now part of end-to-end ownership.
• Back-End Engineering: Encompassing APIs, data processing, scalable cloud services, IoT data ingestion, event-driven architectures, and integration with hardware/firmware layers. This remains core but is augmented by AI to handle complexity efficiently.
• AI/ML and Platform Integration: Incorporating agent-based intelligence, predictive analytics, and dynamic workflows—elevating the role to include orchestration of AI-driven features unique to Trackonomy’s Sentient platform.

In contrast to traditional full-stack developers (who focused primarily on coding across front- and back-end), this position expands scope to include strategic product definition, user research, design authority, and program-level execution. It differs from classical product owners or architects by demanding hands-on implementation across the stack, empowered by AI to manage what once required large teams.

Key Responsibilities

• Own end-to-end development of platform features, such as real-time asset visibility dashboards, autonomous remediation workflows, predictive alerting systems, or customer-specific ERP extensions.
• Define product vision, user requirements, success criteria, and prioritization for assigned capabilities, grounded in supply chain and operational realities.
• Conduct rapid prototyping, user validation, and iteration using AI-accelerated design and development tools.
• Architect and implement full-stack solutions, including intuitive front-end interfaces for operational insights, robust back-end services for processing IoT telemetry, secure APIs, data models, and integrations with Trackonomy’s hardware ecosystem.
• Leverage AI agents for code generation, debugging, automated testing, UI prototyping, and reasoning over complex operational scenarios.
• Manage delivery timelines, technical dependencies, risk mitigation, and deployment to production environments with high reliability standards.
• Ensure solutions meet stringent requirements for scalability, security, low-latency real-time processing, and compliance in regulated industries (e.g., healthcare, logistics).
• Collaborate in small, high-velocity pods to deliver customer value rapidly while upholding quality, performance, and innovation standards.
• Contribute to evolving AI-native development practices tailored to Trackonomy’s mission of connecting and intelligentizing the physical world.

Required Background and Qualifications
To succeed in this demanding, multifaceted role, candidates must demonstrate proven versatility across multiple domains, combined with strong AI fluency and domain affinity:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field (or equivalent demonstrated experience).
• At least 7–10 years of professional experience, with substantial hands-on contributions in at least three of the following: product management, UX/UI design, front-end development, back-end/systems engineering, IoT/platform development, or AI/ML application building.
• Track record of independently owning and shipping complete features, products, or customer solutions from concept through production, with measurable business or operational impact.
• Strong technical proficiency in modern stacks relevant to enterprise IoT and real-time platforms (e.g., TypeScript/JavaScript, React or equivalent frameworks, Node.js/Python/Go, cloud-native services such as AWS/Azure/GCP, databases including time-series and NoSQL, event streaming technologies).
• Practical experience with IoT ecosystems, sensor data processing, real-time analytics, or supply chain/logistics applications is highly desirable.
• Demonstrated mastery of AI-augmented workflows (e.g., GitHub Copilot, agentic tools, LLM-based reasoning, automated testing frameworks) to achieve 5–10x productivity gains.
• Excellent systems thinking and ability to reason across hardware-software boundaries, data flows, user experience, and business outcomes.
• Superior problem-solving, communication, and collaboration skills, with the capacity to articulate complex trade-offs and decisions clearly.

Preferred Qualifications

• Prior experience in supply chain visibility, logistics technology, cold chain monitoring, asset tracking, or enterprise resource planning (ERP) systems.
• Exposure to agent-based AI architectures, edge intelligence, or embedded systems integration.
• Portfolio showcasing end-to-end ownership of shipped IoT/platform features.
• Familiarity with DevOps, CI/CD, scalable microservices, and security best practices in mission-critical environments.

What We Offer
At Trackonomy, this role positions you at the forefront of redefining operational intelligence in the connected world. You will operate as an empowered builder, directing AI capabilities to solve pressing global challenges with unprecedented speed and precision. Join a mission-driven unicorn recognized by the World Economic Forum, where your contributions directly advance end-to-end visibility, autonomous operations, and productivity for enterprises worldwide.

Trackonomy is an equal opportunity employer committed to fostering diversity, equity, and inclusion.