Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 6
Kafka @ 6
Distributed Systems @ 4
Leadership @ 4
Communication @ 4
Networking @ 6
React @ 4
Product Management @ 6
API @ 6
LLM @ 1
GenAI @ 1
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
About the role
Cluster Linking is how Kafka clusters are replicated, and it sits at the very core of Confluent. When a global bank architects zero-data-loss disaster recovery, when an enterprise migrates petabytes off open-source Kafka, or when a multinational replicates event streams across three continents, they're running on Cluster Linking.
This role will define the future of Cluster Linking: how we deliver seamless disaster recovery for Kafka workloads, how we build self-service migration paths into Confluent Cloud, and how we enable cross-organization data sharing to power real-time, operational data exchanges.
Cluster Linking is one of Confluent's fastest-growing platform products and you'll own that growth. Our largest customers depend on it, and because it cuts across Kafka, cloud infrastructure, networking, and security, your work will have visibility and influence across the company.
Responsibilities
- Launch and drive adoption for a one-click disaster recovery initiative, turning a manually configured capability into a productized experience customers can adopt with confidence.
- Define the future of real-time stream sharing across organizations, including its security model, networking, access controls, and scalability across organizations and use cases.
- Design capabilities that let customers migrate to Confluent in a few clicks or API calls; define the art of the possible and make migration a reason to choose Confluent.
- Segment and re-package Cluster Linking to serve Disaster Recovery, migrations, data sharing, and cross-cloud replication; define packaging, pricing, and positioning to meet customer needs and drive growth.
- Partner closely with engineering leadership to understand tradeoffs, make decisions quickly, and keep the product moving forward.
- Work directly with customers to advise on architectures and models, gather feedback, and balance immediate opportunities with long-term product direction.
- Run campaigns with sellers and solutions engineers, lead webinars, assemble subject matter expert teams, and drive priorities to results.
- Influence and energize cross-functional teams to rally support and turn organizational momentum into product momentum.
Requirements
- 5+ years of product management experience, ideally in infrastructure, data platforms, or cloud products, with a track record of shipping technical products and driving measurable outcomes.
- Genuine interest in distributed systems and cloud infrastructure; prior Kafka expertise is not required but candidates must be energized by technical depth.
- Results-driven mindset: proactive, willing to engage directly with sellers and stakeholders to remove blockers and drive initiatives to completion.
- Proven ability to influence cross-functional teams (engineering, field, sales, finance, leadership) often without formal authority.
- Strong ownership mentality: able to drive ambiguous problems to clarity and treat the product like a business.
- Business thinking beyond the backlog: experience with segmentation, packaging, pricing, and assessing market impact.
- Clear communication skills: able to make technical topics understandable for executives, write sharp product docs, and present confidently to customers and leadership.
- LLM / GenAI knowledge is a bonus but not required.
Company & values
Come As You Are
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.