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Netflix Product Operations & Vendor Systems

PLM SystemsAirtableOperationsB2B
Netflix product operations system overview
The Airtable operational system of record — a single source of truth for 8+ vendor relationships, surfacing blockers before they hit the critical path.

The Problem

Coordinating 8+ vendor relationships across a high-velocity product pipeline had no single source of truth. Status lived in email threads and siloed spreadsheets — blockers surfaced too late, and cross-functional teams were constantly misaligned on timelines and deliverables.

Fragmented before state: siloed spreadsheets and emails
The before state: vendor status scattered across disconnected spreadsheets and email threads, with no shared visibility across design, production, and retail teams.

Airtable as Operational Infrastructure

Designed and maintained the Airtable base that became the team's operational system of record. This wasn't filling in a template — it meant structuring the database schema, building cross-table relationships, creating filtered views for each stakeholder group (design, production, retail), and setting up automations to surface blockers before they hit the critical path.

Airtable database schema and cross-table relationships
The Airtable schema: linked tables for Vendors, Products, Timeline Milestones, and Blockers — with role-specific filtered views so each team saw only what was relevant to them.

Cross-functional Coordination System

Built a shared timeline view giving each team visibility into upstream dependencies — design approvals blocking production starts, production completion blocking retail setup. This made the critical path legible to non-technical stakeholders without requiring them to understand the underlying data model.

Cross-functional timeline view showing dependencies
8 vendor workstreams visible in a single view, with dependency relationships surfacing which delays would cascade.

Outcome

The operational system became the template adopted for subsequent product lines — proof that well-architected internal tooling directly determines whether cross-functional teams ship on time. This role demonstrated that product operations and data architecture skills transfer directly to Technical PM work: understanding how systems store, move, and surface information is the same cognitive muscle whether you're configuring an Airtable base or writing a product spec for an API.