below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$176,450–$227,200
— the blue band above.
At the midpoint, this role pays about
$582k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
165 open roles
on FindRole.
Listed pay typically runs
$388,000–$619,000
across 151 roles with salary data.
The Product Manager L6, Data Platform - Analytics Experience joins the Analytics Platform & Experiences team to lead the development of a unified, AI-native experience for data practitioners. This role focuses on the data developer inner loop, where you will oversee the creation of data assets, the operation of data agents, and the orchestration of large-scale workflows. You will build and manage capabilities for SQL and Python-first code authoring using tools like Cursor, Claude Code, and JupyterLab. Key responsibilities include defining multi-year roadmaps for workflow orchestration, data quality, and observability. You will solve technical challenges related to dbt-based transformation workflows, dependency management, and real-time data serving. Your work ensures that analytics engineers and data scientists can reliably move data pipelines from development to production with high reliability.
What does a Product Manager earn in Remote?
Median $207600 from 125 postings across 34 companies.
Develop a long-term vision and strategy for the Analytics Experiences portfolio aligned with business objectives.
Prioritize product initiatives ranging from IDE-centric inner-loop productivity to centralized semantic layers and conversational analytics.
Partner with design and engineering to define requirements and create intuitive interfaces for data workflows.
Collaborate with engineering on critical architecture decisions to ensure platform scalability, sustainability, and flexibility.
Create rollout strategies and provide documentation, learning resources, and self-service tools to accelerate platform adoption.
Define and track success metrics centered on user delight and productivity gains to drive continuous improvement.
Establish platform standards for API design, versioning policies, and deprecation protocols to maintain quality and consistency.
Build strategic relationships across functional teams to foster cross-functional collaboration and shared ownership of outcomes.
What we're looking for
8+ years of Technical Product Management experience or equivalent technical role in complex technical domains.
Strong knowledge of modern analytics architectures and data developer tooling, including dbt-based transformation workflows and workflow orchestration.
Deep familiarity with the practitioner stack, including IDEs (Cursor, JupyterLab, VS Code), Python/SQL developer tooling, and data quality frameworks.
Proven track record of managing product portfolios in complex technical domains with a clear vision and strategy.
Ability to discuss technical design trade-offs and system quality attributes with engineering teams.
Experience identifying and articulating clear problem statements and developing innovative solutions with strong product intuition.
Ability to build strategic relationships across organizational boundaries and navigate complex organizational dynamics to drive alignment.
Outstanding written and verbal communication skills with the ability to influence and inspire others.
Master Data Management (MDM)
Data Governance
Data Quality
Metadata Management
Generative AI
ChatGPT
Microsoft Copilot
APIs
Swagger
OpenAPI
Event-driven Architecture
Agile
Product Roadmap
Data Services
South San Francisco, CA24 days ago
$140,300–$260,500
AI
ML
SQL
AWS
GCP
Azure
Big Data
Data Mesh
Data Fabric
Data Governance
Data Quality
Data Observability
Informatica Data Quality
Collibra
Monte Carlo
Agile
Data Lifecycle Management
FAIR Data Principles
Semantic Layer
Data Cloud
Data Governance
Data Quality
Data Lineage
Enterprise Data Management
Cloud Data Environments
Project Management
Roadmap Development
Data Engineering
Stakeholder Management
Change Management
Data Architecture
SQL
Data Governance
Data Contracts
Data Catalog
AI
ML
Cloud Infrastructure
GPU
HPC
Observability
Attribute-Based Access Control
Data Modeling
CMDB
Retrieval
Graph-backed Context