Senior Manager of Data Science, Confluent
$246.6-289.8k
+ Equity package
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
$246.6-289.8k
+ Equity package
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- 8+ years of experience in the Data Science or Analytics, with a track record of using data to inform business strategy
- 3+ years of people management experience
- Business acumen with an understanding of GTM, Product, and Sales landscapes
- Strong ability to communicate cross-functionally, derive requirements and architect; to synthesize, simplify and explain complex problems to different types of audiences, including executives
- Experience running and building high performing & diverse teams. Prior experience with managing a team across multiple geographies is a plus
- Deep knowledge of modern data stack and infrastructures, i.e., Cloud Data warehouse, data integration tools, Airflow, DBT, Tableau, etc
- Deep knowledge of programming languages, i.e. SQL, Python
What the job involves
- The Data Team strives to build out the central nervous system for the company in order to drive better and faster decisions via data
- Our charter includes Data Engineering, Data Science, and Analytics & Insights
- It is our responsibility to build world class data infrastructure, tooling, governance, dashboards, and ML models to enable company-wide analytics, create insights & models and data products to drive business growth at scale, and to be a model user of Confluent Cloud
- As the Senior Manager, Data Science you will lead and grow a team of high performing Data Scientists supporting our product organization
- You will articulate and execute the overall vision & strategy of the Data Science team, including a heavy focus on business partnership, data architecture and insights
- Lead and mentor a team of data scientists, providing guidance, support, and professional development opportunities
- Engage with Product & Engineering teams to deliver insights and recommendations to improve Confluent’s products, adoption, and consumption
- Implement an approach for holistic prioritization to ensure resources are aligned to the highest impact and highest value initiatives
- Design and conduct experiments to test hypotheses, validate models, and optimize product performance
- Analyze large and complex datasets to uncover trends, patterns, and insights that drive product innovation and customer satisfaction
- Communicate findings and recommendations to senior leadership and other stakeholders through clear and compelling data visualizations and presentations
- Foster a data-driven culture within the organization, promoting the use of data and analytics to inform decision-making at all levels
Our take
Confluent is a commercial company built on top of the open-source Apache Kafka project. Confluent and Kafka have developed a streaming data technology that processes massive amounts of information in real-time.
The streaming database technology was developed at LinkedIn as a way of moving massive amounts of messages. The company decided to open-source that tech in 2011, and Confluent launched as the commercial arm in 2014.
While the base open-source component remains available for free download, it doesn’t include the additional tooling the company has built to make it easier for enterprises to use Kafka. Confluent's value add is in those additional tools, including a cloud version of the product and a marketplace for sharing extensions to the platform.
Confluent expanded strategic partnerships with Microsoft and acquired Immerok, and in 2023 expanded its cloud platform. 2024 saw further product expansions with the launch of the Confluent Migration Accelerator, all exemplifying how the company is living up to its name by rocket-boosting the benefits of Apache Kafka integration for companies.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Apr 2020
$250m
SERIES E
Jan 2019
$125m
SERIES D
Total funding: $455.9m
Company HQ
Mountain View, California
Leadership
Jay Kreps
(Co-Founder & CEO)Previously a Principal Engineer at LinkedIn.
Neha Narkhede
(Co-Founder & Board Member)Previously a Lead Engineer at LinkedIn and Oracle. They are an Investor/advisor for Gem, Block Party, Material Security, Abacus AI, Cortex Data, Yugabyte, Metaphor Data, Natalist, Common Room, and more.
Jun Rao
(Co-Founder)Previously a Senior Engineer at LinkedIn. Has a PhD in Computer Science from Columbia University.
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