
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
💰 Secondary Market on 2021-06
Artificial Intelligence • SaaS • Cloud Computing
Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.
🕒 May 19
🇺🇸 United States – Remote
💵 $231.5k - $272k / year
⏰ Full Time
🔴 Lead
☁️ Cloud Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
💰 Secondary Market on 2021-06
Artificial Intelligence • SaaS • Cloud Computing
Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.
• 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, and launch readiness standards • Drive architectural decisions in partnership with engineering leadership — weighing trade-offs between user experience, cost, and operational complexity • 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 • Develop the product team — mentor Senior PMs on the team, provide feedback on product documents and roadmap thinking, and raise the bar on how the team approaches customer research and decision-making • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security, then present the platform vision to executive leadership to secure organizational investment — develop the business case, communicate trade-offs clearly, and earn commitment for multi-year platform bets • Define and own success metrics at the platform level — connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency • Engage directly with strategic customers and prospects — represent the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers
• 8+ years of product management experience, with 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 • Strong 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 output; 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
• Offers Equity
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