Customer Success Technical Architect, Confluent
$160.4-190.8k
+ Equity
More information about location
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
$160.4-190.8k
+ Equity
More information about location
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- Bachelor's degree in computer science or engineering, mathematics, or equivalent degree or experience
- Demonstrated success in a technical Field role for a product / SaaS company with enterprise customers
- Passion for working on complex technical problems, with a strong understanding of modern infrastructure and streaming technologies; self-starter who loves a fast-paced environment
- Excellent interpersonal & communication skills and an ability to concisely explain tricky issues and complex solutions to a variety of personas
- Demonstrated ability to manage multiple customers at a time while paying strict attention to detail and delivering results across multiple initiatives such as driving expansion, customer satisfaction, feature adoption, and retention
- Collaborative spirit, outstanding consulting & relationship management skills and ability to rapidly switch context
- Hands on knowledge of one or more key cloud vendors (AWS, GCP and Azure)
- Solid understanding of cloud networking and security technologies (e.g. VPC, Private Link, Private Service Connect, TLS/SSL, SASL, Kerberos, etc.)
- Experience prototyping and analyzing code for client solutions in multiple languages (e.g. Java, Python, Go, etc.)
- Experience with Java Virtual Machine (JVM) tuning and troubleshooting
- Experience with operating Linux, you know how to configure, tune and troubleshoot both RedHat & Debian based distributions
- Ability to learn new technologies quickly, as well as a strong interest in doing so!
- Flexibility to travel up to 20% of the time
What the job involves
- Confluent is searching for a Customer Success Technical Architect (CSTA) to act as a trusted technical advisor and advocate to work with our customers
- The primary objective of this role is to ensure the success, retention & expansion of our customers by providing technical guidance, including best practices, for the Confluent product suite
- You will partner with others in Customer Solutions as well as cross-functional divisions such as Sales, Product Management and Engineering to help our customers accelerate time to value, maximize product consumption and achieve their overall business objectives
- The CSTA role is both deeply technical and commercial in nature
- You will leverage a technical background (e.g. AppDev, SysAdmin, Distributed Computing) to advise customers on their architectures, including patterns & strategies for operating and maturing their Confluent subscription
- You will also utilize relationship management skills & industry experience to guide the customer on how they can best achieve their business goals and value-based outcomes via their investments
- In this role, you will have the opportunity to build broad experience with Kafka, Flink and Confluent IP as well as gain an understanding of complementary and competitive technologies
- You will work with a variety of organizations ranging from new start-ups to large enterprise customers
- Throughout these interactions, you will build strong relationships, ensure exemplary delivery standards, and have a lot of fun helping our customers build state-of-the-art data streaming platforms
- Champion and advocate for the customer within Confluent. You will be the technical voice of the customer and will leverage learned technical insights & perspective while coordinating between Confluent Sales, Product, Services, Support and Training teams to drive technical success
- Identify customer technical objections and develop strategies to address those blockers to adoption
- Proactively support customers through technical lifecycle activities such as architecture planning, cluster & security design, monitoring & automation; review & provide guidance on upgrade or migration plans, platform & application hardening ideas and high availability design
- Guide customers up the data streaming maturity curve through recommendations on advanced technical topics (e.g. data mesh, stream processing, utilization optimization & performance tuning)
- Develop and present periodic customer reviews, including analysis of technical health and operational performance, to Confluent senior management
- Document and transfer knowledge to customers and internal teams. This assists customers in advancing their knowledge & abilities on their own, while also helping Technical Support Engineers and Professional Services teams better serve your customers
- Leverage knowledge of your customer environments and use cases to influence the roadmap of Confluent products
- When necessary, roll up your sleeves and dig in to help address customer issues alongside Confluent Technical Support Engineers and Core Engineering
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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