Director of Product Management, Confluent
Unified Storage
$277.2-332.6k
+ Equity package
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
$277.2-332.6k
+ 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
- 10+ years of software product management experience
- Demonstrated fluency with cloud computing
- Deep understanding of data ecosystems spanning operational, analytical, and AI systems
- GTM experience including pricing and packaging of enterprise products
- SaaS experience
- Ability to build great enterprise experiences across API’s, CLI’s and GUI’s
- Demonstrated strong written and verbal communication
What the job involves
- Confluent’s Data Streaming Platform is the central nervous system for data architecture
- The most valuable data originates from our applications and flows through systems of record before eventually making its way to systems used for analytics and business intelligence
- A core part of Confluent’s strategy is to unify these data estates by integrating deeply into open standards like Kafka, Flink, Iceberg, Delta - and also integrating into corresponding catalogs to make that data easy to discover, access, and build against
- The Unified Storage team at Confluent owns this charter
- Set the strategy: Align investments with Confluent’s long term vision to put an event streaming platform at the center of every organization
- Be an expert: build compelling positioning and enablement to ensure that our investments are sellable by our field and exciting to our customers
- Be an owner. Unified Storage is a business that drives revenue and consumption. Own those numbers and drive execution company-wide to accelerate growth
- Be a fantastic team builder: Manage a team of product managers and intelligently grow the team as we scale
- Define the roadmap: Plot a course with your engineering counterparts that will realize the strategy
- Understand our users: Conduct interviews and analyze usage data to define personas, user journeys, and key jobs to be done
- Work across teams: Create shared understanding and direction across engineering, product, business development, support, sales, and marketing teams within Confluent and externally with our partners
- Be responsible for the whole lifecycle: Drive multi-company, cross-functional initiatives from conception through initial delivery, and ongoing iteration after launch
- Close the loop: Define quantitative and qualitative targets, measure performance against them
- Manage complexity: Deliver value while handling the surprises and challenges of a quickly evolving product, ambitious partnership targets, and a rapidly growing organization
- We hope you’ll join us and help discover even more opportunities
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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