Product Manager (Internal Platform / AI Operations)

Confidential

Remote job permanent

Posted: January 30, 2026

Quick Summary

We are looking for a Product Manager (Internal Platform / AI Operations) to lead the digital transformation of our internal agency operations. The ideal candidate will own the Product Roadmap for our internal operating system and aggregate isolated automation solutions into a unified internal platform that centralizes the work cycle.

Job Description

We are looking for a Product Manager (Internal Platform / AI Operations) to lead the digital transformation of our internal agency operations.

Your mission is to bridge the gap between our business teams (Ad Ops, Account Management, Strategy) and our Engineering team. You will identify manual, repetitive, or complex processes and define how they can be automated using AI Agents and workflows.

You will own the Product Roadmap for our internal operating system. Your long-term goal is to aggregate these isolated automation solutions into a unified internal platform that centralizes the work cycle of our employees.

Key Responsibilities:

Process Discovery & Solution Definition

• Workflow Mapping: Partner with internal teams to deeply analyze day-to-day workflows, mapping end-to-end processes to identify bottlenecks and AI automation opportunities.

• Translation to Engineering: Convert vague business needs (e.g., "I spend too much time on reporting") into concrete technical requirements and user stories for the AI Systems Engineer (e.g., "Create an n8n workflow that pulls data from API X, summarizes it with GPT-4, and posts to Slack").

• ROI Analysis: Prioritize requests based on time saved and business impact. Decide what should be automated versus what should remain manual.

Product Management (The Internal Platform)

• Platform Vision: Manage the roadmap for our internal "Operating System." ensuring that individual automation scripts are built as modular components of a larger, unified platform.

• Backlog Management: Own the engineering backlog. Triage incoming requests, define acceptance criteria, and manage sprint priorities for the engineering team.

• User Acceptance Testing (UAT): Verify that the built solutions actually solve the problem before they are rolled out to the wider team.

Adoption & Change Management

• Rollout Strategy: You are responsible for ensuring the team actually uses the tools we build. Create documentation, record Loom walkthroughs, and host training sessions.

• Feedback Loops: proactively collect feedback on AI agents and workflows. Identify edge cases where the AI fails and work with engineering to refine the logic.

• Metrics: Track the usage and success rates of internal tools (e.g., "Hours saved per week," "Agent adoption rate").

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