Staff Product Manager

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Enterprise SoftwareIndustries

Requirements

Candidates should possess 8+ years of experience working with databases, streaming systems, or other types of data infrastructure, and a proven history of collaborating with people from every department to ensure solutions drive real business impact. Excellent written and verbal communication skills, including the ability to present deeply technical content to diverse non-technical audiences, are required, as is the ability to quickly create compelling demos for new capabilities using LLMs.

Responsibilities

As a Staff Product Manager, you will define the strategy for your product area, become the authoritative expert through market research and customer interaction, proactively manage a portfolio of projects, and drive the development and delivery of Materialize’s SQL experience, compute clusters, and sources & sinks, spanning multiple Engineering teams. You will also craft roadmaps to help customers deploy Materialize and expand use cases, develop deep expertise in the product and broader data market, and enable GTM teams and users to understand the value of new releases.

Skills

Databases

Streaming systems

Data infrastructure

LLMs

Communication

Demo Creation

Materialize

Cloud-based operational data warehouse for real-time insights

About Materialize

Materialize provides a cloud-based operational data warehouse that delivers real-time insights for businesses. The platform is designed for tasks that require immediate action based on current data, enabling data teams to analyze and operate their businesses effectively. Key features include automation and alerting, which reduce manual work and delays, allowing for quicker responses to data changes. Materialize supports user-facing applications that need to react to real-time business conditions and caters to companies requiring real-time customer data for personalization and dynamic pricing. The platform also meets the needs of machine learning and artificial intelligence by offering continuously updated data. Materialize's business model focuses on providing sub-second updates and strong consistency, utilizing a specialized engine built on stream processing frameworks. The goal of Materialize is to empower businesses to make immediate decisions based on accurate and timely data.

New York City, New YorkHeadquarters

2019Year Founded

$97.8MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees

Benefits

Company Equity

Risks

Redpanda's serverless platform may attract cost-conscious developers away from Materialize.

Confluent's partner program increases competition in real-time data streaming.

Intensified market competition as more companies adopt real-time data solutions.

Differentiation

Materialize offers real-time data processing with a simple SQL interface.

The platform provides sub-second updates and strong consistency for streaming data.

Materialize's engine is built on Timely Dataflow and Differential Dataflow frameworks.

Upsides

Growing demand for real-time data processing boosts Materialize's market potential.

Partnership opportunities with Confluent enhance Materialize's integration capabilities.

Separation of storage and compute improves scalability and performance.

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