Principal Product Manager Lead

This role is a principal-level, hands-on product leadership position in the Product organization. It owns the end-to-end strategy, roadmap, and execution for a cross-cutting portfolio spanning AI text-to-SQL and data analysis (Aura Analyst), AI and ML functions, query optimization and tuning, and database / cloud platform observability & alerting.

A unifying theme of this role is analytics, including unlocking latent demand in our customers using AI-driven query and analysis, making the core database engine perform analytical workloads better via query optimization, and enabling us and customers to analyze system telemetry to make workloads shine. If you love analytics, you're an experienced product leader, and want to build an innovative, AI-enriched product and business, not groom the backlog, this job is for you.

A major company focus is to surround SingleStore with AI assistance to make everyone using or building on SingleStore more productive. This includes allowing data to be queried and analyzed far more easily by a much broader range of people, and making SingleStore increasingly self-observing, self-diagnosing, and self-optimizing. This helps customers and internal teams use and analyze their data, understand workload behavior, debug issues quickly, and continuously improve performance and efficiency. This role leads product management for a range of AI analysts, skills, and MCP servers to provide these capabilities.

Role and Responsibilities

• Aura Analyst

• Owns Aura Analyst as the primary end-user tool for AI-guided text-to-SQL and conversational query result analysis, including technical feature set definition, customer positioning, and roadmap.

• AI & ML Functions Platform

• Co-owns the product strategy for AI and ML capabilities exposed as AI functions, ML functions, Python UDFs, Cloud Functions, Container Services, MCP server, and AI documentation question answering (SQrL).

• Ensures these surfaces are observable, testable, and debuggable, with clear workflows for data engineers and application developers.

• Aligns AI/ML function capabilities with Aura Analyst so that AI workloads are first-class citizens in observability and performance views.

• Query Optimization & Tuning

• Owns product strategy for query optimization, tuning, and AI-based database tuning, in close collaboration with the core engine team.

• Defines how query plans, regressions, and recommendations are surfaced in the UI, APIs, and internal tools.

• Partners with engine leadership on prioritization of query engine investments that materially improve customer performance, reliability, and cost.

• Observability, Alerting & Internal Data