Hiring: Principal Product Manager, Aerospike Data Platform Company: Aerospike Location: Mountain View, CA Job Posted Time: 2026-09-16 18:50:12 Employment Type: Hybrid Target Skills & Keywords : AI, Assembly, Product Management, SQL About the job Experience: •5+ years managing infrastructure-level software products, with deep experience in enterprise databases (NoSQL, SQL, NewSQL), distributed storage engines, or high-performance systems platforms. Required Skills: •Operational AI & Data Platform Strategy: Own the end-to-end roadmap for our core distributed data engine. Drive capabilities that support real-time state management, low-latency context assembly, high-throughput decisioning, and durable consequence management for mission-critical workloads. •Engine Strategy & Vision: Own the end-to-end roadmap for our core distributed database engine. Lead innovation across our Hybrid Memory Architecture (HMA), secondary indexing mechanisms, storage layer optimizations, and Cross-Datacenter Replication (XDR). •Developer & Agent Ecosystems: Build modern, developer-first tooling, APIs, and SDKs (including Model Context Protocol/MCP integrations) that make it seamless for engineers and autonomous AI agents to interact with real-time enterprise state. •Customer-Centric Prioritization: Partner closely with principal database architects, SRE leads, and field teams at Fortune 500 companies to translate extreme real-time processing demands into actionable technical requirements. •Performance & Scale Optimization: Collaborate directly with Database Kernel and Performance Engineering teams to continuously push sub-millisecond tail latency, optimize memory footprints, and expand multi-cloud and hardware capabilities (NVMe, CXL, PMEM). •Metrics, Telemetry & Economics:: Define key operational KPIs, analyze engine telemetry, and leverage benchmark data to guide feature trade-offs and ensure our platform delivers industry-leading throughput with sustainable infrastructure economics. •Go-to-Market Alignment: Partner with Product Marketing and Solutions Engineering and field teams to translate deep technical breakthroughs into clear business outcomes and market positioning. •Operational AI & Systems Architecture Mindset: Strong understanding of modern enterprise AI challenges beyond model inference—specifically how intelligent systems maintain state, retrieve context, and execute real-time decision loops. Qualifications: •Distributed Systems Mastery: Strong generalist foundation in both relational (SQL) and non-relational (NoSQL) database design. Deep technical understanding of consensus protocols, transactional consistency models, replication strategies, and low-level hardware utilization (RAM/NVMe/Storage). Compensation: •$220,000 - $280,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!