Senior Solutions Engineer, Confluent
$159.2-187.1k
+ Competitive equity package and is also eligible for additional commission and/or bonus pay.
Data streaming platform
Job no longer available
Data streaming platform
1001+ employees
Job no longer available
$159.2-187.1k
+ Competitive equity package and is also eligible for additional commission and/or bonus pay.
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 Solutions Engineering or similar work experience
- Experience with Event-Driven architecture, Data Integration & Processing Techniques
- Experience with Database, Data Warehouse and Data Lake/Lakehouse technologies and Data Engineering
- First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development
- Proficiency in Java, Python or SQL
- Technical certifications - Cloud Developer/Architect, Data Engineering & Integration
- Clear, consistent demonstration of self-starter behavior, a desire to learn new things and tackle hard technical problems
- Good presentation and communication capabilities. Confidence presenting to a highly skilled and experienced audience, ranging from developers to enterprise architects and up to C-level executives
Desirable
- Familiarity with Solution Selling
- Experience with Kafka or Apache Flink
- A challenger mindset and an ability to positively influence peoples’ opinions
What the job involves
- Solutions Engineers at Confluent drive not only the early-stage evaluation within the sales process, but also play a crucial role in enabling ongoing value-realization for customers, all while helping them move up the adoption maturity curve
- In this role you’ll partner with Account Executives to be the key technical advisor in service of the customer
- You’ll be instrumental in surfacing the customers’ stated or implicit Business Needs, and coming up with Technical Designs to best meet these needs
- You may find yourself at times facilitating art of the possible discussions and storytelling to inspire customers in adopting new patterns with confidence, and at other times driving creative solutions to help get past difficult technical roadblocks
- Overall, we look upon Solutions Engineers to be a key cog within the Customer Success Team that help foster an environment of sustained success for the customer and incremental adoption of Confluent’s Technology
- Help advance new & innovative Data Streaming use-cases from conception to Go-Live
- Execute on and lead Technical Proofs of Concept
- Conduct Discovery & Whiteboard Sessions to develop new use-cases
- Provide Thought Leadership by delivering Technical Talks and Workshops
- Guide customers with hands-on help and best practice to drive operational maturity of their Confluent Deployment
- Analyze Customer Consumption trends and identify Optimization opportunities
- Work closely with Product and Engineering teams, and serve as a key Product advocate across the Customer, Partner and Industry ecosystem
- Forge strong relationships with key customer stakeholders and serve as a dependable partner for them
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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