Technical Product Manager - AI 5089

Tier4 Group is seeking a Technical Product Manager who excels at the intersection of operations, technology, and execution. The role involves building practical automations and internal tools to improve operational workflows and enhance team efficiency.

Responsibilities:

• Work directly alongside Operations, Fulfillment, and Customer Experience teams to observe workflows and uncover bottlenecks
• Translate recurring friction, escalations, and manual work into clearly defined, solvable problems
• Prioritize issues based on measurable business impact rather than theoretical value
• Design and deploy working automations and internal tools using a mix of no-code/low-code platforms (e.g., automation builders and workflow tools), AI/LLM APIs, and lightweight custom scripting
• Build solutions end-to-end—from idea through deployment and iteration—without waiting on large engineering cycles
• Continuously refine automations based on real usage and feedback
• Define success metrics for every solution (e.g., reduced handle time, fewer escalations, lower manual effort, cost savings)
• Track and report 'before and after' results—you own outcomes, not just delivery
• Retire or refactor tools that do not deliver meaningful impact
• Maintain a prioritized backlog of tooling and automation opportunities across the business
• Partner with Product and Engineering teams to determine which initiatives remain lightweight builds versus those that warrant deeper platform investment
• Own simple integrations between core business systems (support platforms, documentation tools, internal systems) to reduce context switching and improve information flow
• Identify opportunities where AI meaningfully improves productivity and decision-making—not novelty use cases
• Evaluate AI vendors and tools, run small pilots, and support adoption across teams
• Apply LLMs pragmatically using techniques such as prompt engineering, RAG workflows, agent patterns, and API integrations

Requirements:

• A proven builder mindset—you've shipped real tools or automations, not just written specs
• Experience working within or closely alongside operations, fulfillment, or customer-facing teams
• Hands-on experience applying AI/LLMs in real workflows (practical, not theoretical)
• Strong product thinking: scoping problems, defining success, and prioritizing ruthlessly
• Functional scripting ability in Python and/or JavaScript
• Ability to communicate effectively with frontline operators and technical partners alike
• 5–7 years of experience in roles such as automation engineering, technical product management, operations tooling, or similar
• Experience in live events, marketplaces, logistics, or high-volume operations
• Familiarity with support, CRM, and collaboration tooling commonly used by operations teams
• Background in operations consulting, business operations, or technical strategy roles
• Experience in early-stage or high-growth environments where systems and processes were built from scratch