Confluent
Data Streaming Platform
StaffProductManager,CloudNetworking
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“Staff Product Manager, Cloud Networking at Confluent. Skills: Cloud Networking Platform Strategy, Roadmap Development, Architectural Decision Making, Enterprise Customer Focus, AI-Native Product Management. Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP. Define the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage”
What You'll Achieve.
balance customer connectivity needs, cost efficiency, security posture, and engineering leverage; connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency
Industry & Context.
analytical foundation; model unit economics; build business cases with cost/risk sensitivity; measure platform health through leading and lagging indicators; sound judgment on when to use, override, and validate AI; structure problems
What They're Looking For.
Must Have
8+ years of product management experience, at least 3 years owning a cloud infrastructure, platform, or networking product, Demonstrated track record of setting product strategy and roadmap at platform or portfolio scope — not just feature-level delivery, Deep fluency in cloud networking concepts: PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and their trade-offs across AWS, Azure, and GCP, Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements, Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction — not just translating engineering output, analytical foundation: can model unit economics, build business cases with cost/risk sensitivity, and measure platform health through leading and lagging indicators, Practices AI-native product management — uses AI tools as a genuine thought partner throughout the product lifecycle (research, prioritization, spec writing, analytics), with sound judgment on when to use, override, and validate AI and brings that same mindset to product design, building features and APIs that are composable, observable, and easy for AI agents and automation to consume, Experience developing PMs and raising the bar on product thinking — through direct mentorship, feedback, or team processes
Nice to Have
Experience with Envoy, Service Mesh, DNS and Kubernetes Networking, Familiarity with Terraform, API-first and infrastructure-as-code workflows, and how enterprise engineering teams operate networking automation, Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products — defining packaging tiers, price points, and commercial model for enterprise buyers, Experience operating in a product-led growth or usage-based pricing environment, An MBA degree is a plus
What You'll Do.
Own the platform strategy for Confluent Cloud Networking across AWS
Define the north star
and sequencing of bets that balance customer connectivity needs
and engineering leverage
Define frameworks and standards that other PMs
and engineers use to evaluate networking decisions
Drive architectural decisions in partnership with engineering leadership
Expand scope and create optionality — identify adjacencies the team should move into (network observability
cost transparency tooling
next-generation isolation models) and build the business case for them
Define and own success metrics at the platform level
Engage directly with strategic customers and prospects
How You'll Work.
Team & Collaboration
operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform; work across all networking connection types; drive alignment across engineering, field, and executive stakeholders; partner with engineering leadership as a co-decision-maker on architectural direction; Build senior stakeholder alignment across product, engineering, sales, field, legal, and security; present the platform vision to executive leadership; mentor Senior PMs on the team; provide feedback on product documents and roadmap thinking; raise the bar on how the team approaches customer research and decision-making
Communication Scope
communicate trade-offs clearly
Process & Methodology
sequencing of bets, launch readiness standards
Full Job Description
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: Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use — across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role — you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types — PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization — and drive alignment across engineering, field, and executive stakeholders on what we build and why. WHAT YOU WILL DO: - Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP — defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage - Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions — connection model selection criteria, cost attribution models, security control frameworks,
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