Senior Data Science Director, Confluent
$268.8-322.6k
+ Equity
Data streaming platform
Job no longer available
Data streaming platform
1001+ employees
Job no longer available
$268.8-322.6k
+ Equity
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- 15+ years of experience managing a multi discipline Data team, with experience overseeing Data Science
- Experience running and building large high performing & diverse teams across multiple geographies with multiple levels of management (25+ team members)
- Deep knowledge of modern data stack and infrastructures, i.e., Cloud Data warehouse, data integration tools, Airflow, DBT, Tableau, etc
- Experience implementing machine learning models for predictive business outcomes
- Business acumen with an understanding of GTM, Product, and Finance 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
- Working knowledge of programming languages, i.e. SQL, Python, Java/Scala
- Experience with Kafka or Confluent in a Production environment
What the job involves
- The Data Team strives to build out the internal central nervous system for Confluent 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 Director of Data Science, you will lead and grow a team of high performing Data Scientists and BI Developers
- You will articulate and execute the overall vision & strategy of the centralized Data Science team, which includes a heavy focus on business partnership across the company
- Your key stakeholders will span Product & Engineering, Marketing, Finance, People, and Field
- Own and drive the vision, strategy and roadmap for Data Science and lead the team to execute. Specifically, mature our approach to analytics, moving away from descriptive analytics towards more predictive & prescriptive
- Implement an approach for holistic prioritization to ensure resources are aligned to the highest impact and highest value initiatives
- Build and scale a world class, multi-geo team of professionals & leaders
- Engage with Product & Engineering teams to deliver analytics and Data Science solutions to improve Confluent’s products, adoption, and customer consumption
- Partner with GTM to evolve our approach to Customer 360, including building additional predictive models
- Engineering, Business Systems, and functional operation teams, to align on Data teams’ dependencies, roadmap, priorities, engagement model, and key processes
- Be a thought leader, identify high impact project opportunities and process changes, and improve productivity of the overall Data Team
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
Few candidates hear
back within 2 weeks
27% female employees
14% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2020
$250m
SERIES E
Jan 2019
$125m
SERIES D
Total funding: $455.9m
Company values
- Earn Our Customers' Love - Our customers are the lifeblood of our business and our most important stakeholder. We strive to earn their love with everything we do
- To Build a Great Company, Build a Great Team - We believe that an important part of building a great company is making sure that our employees are the best they can be.
- Smart, Humble, and Empathetic - Our employees appreciate, benefit, and learn from working with other smart, humble, and empathetic people. We strive to hire those who care deeply about others and interact with empathy towards our customers, partners, and employees.
- Be Fired up and Get It Done - As much as we benefit from working with smart, humble, and empathetic employees, we also need to “get it done” to pursue our enormous market opportunity. We are in hyper-growth mode and are scaling to fill the demands of the market and our current and future customers.
- Tasteful not Wasteful - We want to invest in areas that matter the most -- in other words, spend “tastefully,” not wastefully. We believe that thoughtful spending is essential to building a high-quality business.
- One Team - It is critical that we act as and make decisions as a unified company, doing our best to optimize globally rather than locally. This means doing our best to avoid the misalignments that some companies can be prone to. It means recognizing that when employees and teams succeed, Confluent as a whole succeeds.
Company HQ
Mountain View, California
Articles
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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