This role pays more than
98%
of similar roles. Most pay
$172,337–$223,350
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
2305 open roles
on FindRole.
Listed pay typically runs
$175,000–$280,000
across 1873 roles with salary data.
Senior Product Manager – Databases joins the team responsible for building next-generation applied data and AI platforms for critical services. This role focuses on managing strategy, product features, and roadmaps for NoSQL database and streaming data services, as well as GenAI-enabled workflows to help internal teams build scalable applications. The successful candidate will translate foundational infrastructure into clear product abstractions like APIs and templates while developing intelligent assistants and automation tools for database use cases. Key responsibilities include defining multi-quarter roadmaps, ensuring technical feasibility, and balancing performance with cost efficiency. Required expertise includes experience with Apache Kafka, Apache Flink, Solr, OpenSearch, Apache Cassandra, and Valkey. The role addresses the challenge of providing managed cloud services that integrate streaming data systems, NoSQL databases, and advanced AI capabilities into a cohesive platform for internal developers.
What does a Product Manager earn in California?
Median $223300 from 161 postings across 38 companies.
Define and own the product vision and multi-quarter roadmaps for NoSQL databases and streaming data systems.
Translate complex data and AI infrastructure into clear product abstractions like APIs, workflows, and templates.
Lead the development of GenAI features including intelligent assistants and automated reasoning for database use cases.
Partner with engineering teams to ensure products meet scalability, reliability, privacy, and security constraints.
Collaborate with internal customer teams to identify real-world needs and co-develop tailored solutions.
Communicate technical trade-offs clearly to both technical and non-technical stakeholders.
Manage prioritization across competing demands from multiple organizations while maintaining platform consistency.
Measure product success through metrics like adoption, developer productivity, and reliability.
What we're looking for
Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field (Master's degree preferred).
10+ years of product management experience building enterprise or platform products.
Experience with streaming data systems (Kafka, Flink), search platforms (Solr, OpenSearch), NoSQL databases (Cassandra), and distributed caches (Valkey).
Demonstrated ability to take products from concept to launch, including vision setting, roadmap ownership, and execution.
Working knowledge of modern data and AI stacks and cloud-based data platforms.
Deep understanding of database and streaming concepts such as ingestion pipelines, transformations, storage, replication, and SQL processing (preferred).
Experience building or productizing AI/ML or GenAI-powered features (preferred).
Familiarity with public cloud platforms and enterprise-scale deployments (preferred).
SQL
LLM
Prompt Engineering
Business Intelligence
Data Visualization
Semantic Layer
Modern Data Stack
Observability
Claude Code
Cursor
Product Management
Analytics
SaaS