Senior Brand Messaging, Confluent
Data Infrastructure Platforms
$137.4-181.6k
Plus annual bonus and equity
Data streaming platform
Open for applications
Data streaming platform
1001+ employees
Open for applications
$137.4-181.6k
Plus annual bonus and 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
- An ideal candidate has a proven track record in the data infrastructure market as a journalist, analyst, evangelist, industry, or brand marketing leader
- You must have excellent communication skills – capable of breaking down complex topics into clear, value-driven stories for both internal and external audiences with varying levels of technical expertise
- And, you should have exceptional leadership skills to drive cross-functional collaboration and alignment, along with a strong understanding of market drivers, target audiences, and competitive landscapes
- A love of storytelling and teaching
- A proven track record of delivering impactful customer-facing messaging and assets
- A growth mindset proven through 5+ years of technical roles in the data infrastructure market as a journalist, analyst, evangelist, industry, or brand marketing leader
- A bachelor’s degree in journalism, creative writing, computer science, or related fields. Or, comparable experience
- A strong portfolio of written work that communicates technical concepts to decision-makers in compelling, plain language (little jargon!)
- Proven public speaking skills, particularly in engaging with customers and analysts
Desirable
- Working experience with Platform-as-a-Service market (PaaS) business models, Open Source Software (OSS)-led companies, or cloud hyperscalers
What the job involves
- We are seeking a compelling technical storyteller to join Confluent as a Senior Brand Messaging Manager
- In this role, you will partner with our content, customer, campaigns, and analyst teams to develop impactful messaging and assets that are integral to our go-to-market (GTM) motions
- You’ll also engage with customers, analysts, and partners through group sessions and targeted interactions
- Own the data streaming platform’s brand narrative: Translate complex platform capabilities into impactful stories with messaging that resonates with technical decision makers
- Collaborate to create high-impact content: Partner closely with content, customer, campaigns, and analyst teams to develop landing pages, eBooks, solution briefs, webinars, blogs, presentations, and more
- Lead external speaking engagements: Deliver presentations, videos, and discussions to educate customers, analysts, and partners in group sessions or targeted interactions
- Learn from customers, market insights, and stakeholders: Continuously refine and improve your messaging and assets by applying qualitative and quantitative feedback from key sources
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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