Inside Sales Representative, Confluent
$59-77k
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
$59-77k
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- We are looking for a highly motivated and results-driven Inside Sales Representative to focus on our most strategic existing customer accounts
- If you thrive on deep account research, creative prospecting, and progressing early-stage deals, this is the perfect opportunity to make a direct impact on our company's growth
- 1+ years of sales experience, preferably in high tech
- Demonstrated success in an outbound-focused sales, business development, or SDR role, preferably within a B2B SaaS environment
- Strong ability to research and penetrate large, complex organizations
- The ability to understand complex business challenges, articulate value propositions clearly, and effectively move a sales conversation forward (beyond just an introduction)
- Outstanding written and verbal communication skills, including the ability to tailor messaging to different technical and executive personas
- A highly organized, self-starter mentality with a relentless focus on meeting and exceeding pipeline generation goals
What the job involves
- In this critical role, you will be responsible for driving incremental revenue by strategically expanding our footprint within a dedicated patch of named customer accounts
- This isn't just about booking meetings; it's about actively generating and qualifying pipelines by identifying new personas and surfacing fresh use cases to support our long-term partnership with these key customers
- Execute targeted, high-volume outbound prospecting campaigns within a dedicated list of strategic named customer accounts to identify expansion opportunities
- Focus on identifying new personas and uncovering new use cases within existing accounts to significantly expand our product adoption and revenue
- Move beyond basic meeting settings by progressing early deal stages—actively qualifying opportunities, understanding complex pain points, and positioning our solutions effectively
- Work closely with Account Executives to research and prepare materials that support executive alignment and complex, multi-threaded sales cycles
- Maintain impeccable records of all prospecting activities and deal status in the CRM to ensure accurate pipeline reporting and forecasting
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
Company
Funding (last 2 of 5 rounds)
Apr 2020
$250m
SERIES E
Jan 2019
$125m
SERIES D
Total funding: $455.9m
Company HQ
Mountain View, California
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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