Job Description: Product Operations Builder
Role Overview
We are looking for a Product Operations Builder who thrives at the intersection of operations, technology, and execution. This role is for someone who doesn’t just identify problems—but personally builds working solutions. You will embed directly with operational teams, uncover inefficiencies, and ship practical automations, internal tools, and AI-powered workflows that make teams faster and more effective.
This is not a traditional product management role, nor is it a pure engineering position. Success here requires strong product instincts, hands-on building ability, and a deep understanding of how operational work actually happens day to day.
What You’ll Be Responsible For
Operational Problem Solving
- 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.
Hands-On Solution Building
- 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.
Outcome Ownership
- 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.
Tooling Strategy & Integration
- 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.
AI Enablement
- 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.
What You Bring
Required Experience & Skills
- 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.
Nice to Have
- 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.