Sr. Product Manager (Efficient & Always-on Transactions)

Cockroach Labs
New York, NYPosted 13 March 2026

Tech Stack

Job Description

Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role We are looking for a seasoned Product Manager to own the end-to-end CockroachDB Efficient Always-on Transactions user journey — the core of what CockroachDB promises its customers. You will define the strategy, product direction, and measurable outcomes that enable CockroachDB to deliver globally consistent, highly available, horizontally scalable, and low-latency transactions at any scale — from single-region deployments to distributed, multi-region architectures designed to survive regional failures without compromising consistency or performance. This is a highly technical, deeply customer-centric role that requires systems thinking, sharp problem definition, and strong cross-functional leadership. You will leverage both qualitative and quantitative data, including TCO benchmarks, latency distributions, CPU and storage efficiency metrics, to guide prioritization, validate hypotheses, and drive data-backed decisions. Your work will directly address the critical gaps that prevent architects from standardizing on CockroachDB, DBAs and SREs from trusting it operationally, and developers from optimizing it independently. This is the "why CockroachDB" story: resilience, consistency, scale, and speed, all delivered globally, always on, and without compromise. You will set the standard by which all CockroachDB functionality is evaluated: does it support a fully always-on, multi-region database experience for mission-critical workloads? You Will Own the end-to-end journey . Lead the full lifecycle of performance, reliability, cost efficiency, and multi-region capabilities, from competitive evaluation and initial adoption through operational trust and broad expansion. This includes CockroachDB's foundational always-on promise: surviving regional failures without data loss, enabling low-latency reads and writes globally, and delivering strict consistency at planetary scale. Define metrics to measure price-performance improvements, multi-region survivability, plan stability, and support ticket ratios to surface gaps and drive continuous improvement across all customer personas: Architects, DBAs, SREs, and Developers. Build a problem-first, data-driven strategy . Deeply understand the economic and operational pain customers face: TCO that blocks broader adoption of CockroachDB in enterprises, scale limits, and the complexity of running globally distributed, multi-region workloads with strict latency SLOs and data domiciling requirements. Define a roadmap balancing storage and CPU efficiency, plan stability, competitive benchmarking, SQL diagnostics, contention reduction, and multi-region capabilities — including survivability modes, low-latency global reads, and geo-partitioning. Prioritize using a combination of qualitative customer signals and quantitative performance data. Deliver measurable outcomes. Set and track success metrics spanning competitive win rates in TCO-centric deals, expansion into broader workloads, reduction in latency-related support tickets, and internal efficiency benchmarks. Ensure product changes deliver real, validated value and iterate rapidly when they don't. Lead with clarity and customer centricity. Act as the voice of the customer — particularly Architects who need rigorous TCO justification, and DBAs/SREs who need operational predictability — in all strategic decisions. Communicate complex performance and infrastructure trade-offs clearly across Engineering, Marketing, Sales, and Executives, aligning teams around a coherent narrative: CockroachDB is not just the most resilient data ... (truncated, view full listing at source)
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