Staff Product Manager (efficient & Always-on Transactions)

Cockroach Labs Cockroach Labs · Data AI · New York, NY · Product

Product Manager for CockroachDB's Efficient & Always-on Transactions, focusing on performance, reliability, and cost efficiency for globally distributed, multi-region databases. The role involves defining strategy, understanding customer pain points (TCO, scale limits, latency), and driving data-backed decisions. A key aspect is applying an AI-first mindset to identify opportunities for AI-assisted features like query diagnosis and automated plan management to improve product quality and customer value.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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 database, but also the most trustworthy and operationally efficient one.
  5. Apply an AI-first mindset. Use AI to accelerate insights, improve product quality, and increase the efficiency of delivering customer value. Identify opportunities to bring AI-assisted query diagnosis, automated plan management, and intelligent self-remediation into the product roadmap as longer-term investments that reduce the "black box" experience customers describe today.

Skills

Required

  • Product management
  • Systems thinking
  • Problem definition
  • Cross-functional leadership
  • Qualitative and quantitative data analysis
  • Customer understanding (Architects, DBAs, SREs, Developers)
  • Roadmap definition
  • Prioritization
  • Performance metrics
  • Reliability metrics
  • Cost efficiency metrics
  • Multi-region capabilities
  • Global consistency
  • Low-latency transactions
  • Strict consistency
  • Plan stability
  • SQL diagnostics
  • Contention reduction
  • Geo-partitioning
  • AI-first mindset

Nice to have

  • Database systems
  • Distributed systems
  • Cloud infrastructure
  • Competitive benchmarking
  • AI/ML product development

What the JD emphasized

  • TCO
  • latency
  • multi-region
  • AI-first mindset
  • AI-assisted query diagnosis
  • automated plan management
  • intelligent self-remediation

Other signals

  • AI-first mindset
  • AI-assisted query diagnosis
  • automated plan management
  • intelligent self-remediation