Principal Product Manager, Aerospike Data Platform
About The Position
Aerospike is seeking an experienced and visionary Senior or Principal Product Manager to drive strategy and execution for its core data platform. The role focuses on building the real-time state, context, and decisioning platform for operational AI, enabling intelligent systems to maintain state, assemble context, make real-time decisions, and preserve action consequences at scale. The position calls for a technical generalist with deep expertise across SQL, NoSQL, and distributed architectures. The Product Manager owns the roadmap for Aerospike’s distributed data engine and database engine, including Hybrid Memory Architecture (HMA), secondary indexing, storage optimizations, and Cross-Datacenter Replication (XDR). The role also develops developer-first tooling, APIs, SDKs, and Model Context Protocol (MCP) integrations for engineers and autonomous AI agents. Working closely with enterprise customers, database architects, SRE leads, field teams, Database Kernel and Performance Engineering teams, Product Marketing, and Solutions Engineering, the Product Manager translates demanding real-time workloads and technical advances into product requirements, operational KPIs, feature trade-offs, business outcomes, and market positioning. The role emphasizes sub-millisecond tail latency, memory-footprint optimization, multi-cloud and hardware capabilities, and sustainable infrastructure economics.
Requirements
- At least 5 years managing infrastructure-level software products.
- Deep experience with enterprise databases (NoSQL, SQL, or NewSQL), distributed storage engines, or high-performance systems platforms.
- Strong generalist foundation in relational (SQL) and non-relational (NoSQL) database design.
- Deep technical understanding of consensus protocols, transactional consistency models, replication strategies, and low-level hardware utilization, including RAM, NVMe, and storage.
- Strong understanding of enterprise AI challenges beyond model inference, including how intelligent systems maintain state, retrieve context, and execute real-time decision loops.
- Ability to design clean APIs, CLI workflows, and SDKs for developers and AI agents.
- Proven ability to engage in technical design reviews with enterprise architects, understand real-time application constraints, and build consensus on complex architectural trade-offs.
- Exceptional ability to translate database architecture concepts into clear business outcomes for executive leaders and technical practitioners.
Responsibilities
- Own the end-to-end roadmap for Aerospike’s core distributed data engine, supporting real-time state management, low-latency context assembly, high-throughput decisioning, and durable consequence management.
- Lead strategy and innovation for the distributed database engine, including Hybrid Memory Architecture (HMA), secondary indexing mechanisms, storage-layer optimizations, and Cross-Datacenter Replication (XDR).
- Build developer-first tooling, APIs, and SDKs, including Model Context Protocol (MCP) integrations, for engineers and autonomous AI agents.
- Partner with principal database architects, SRE leads, and field teams at Fortune 500 companies to translate real-time processing demands into actionable technical requirements.
- Collaborate with Database Kernel and Performance Engineering teams to improve tail latency and memory footprints and expand multi-cloud and hardware capabilities, including NVMe, CXL, and PMEM.
- Define operational KPIs, analyze engine telemetry, and use benchmark data to guide feature trade-offs and support high throughput with sustainable infrastructure economics.
- Partner with Product Marketing, Solutions Engineering, and field teams to communicate technical advances as business outcomes and market positioning.
- Review design specifications, benchmark results, and memory-usage models with kernel engineers.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
