Senior Product Manager shaping vCluster Labs’ Kubernetes virtualization and GPU infrastructure platform for AI Cloud providers and AI factories. Partnering with product and engineering leadership on technical direction, validation, and market positioning.
About the role
- Director of Product for Data & Intelligence leading Acquia's Data Product Team. Transforming data assets into a unified, AI-ready ecosystem for operational intelligence.
Responsibilities
- Lead the centralized Data Product Team.
- Be accountable for the strategic roadmap and long-range execution of the Core Data Layer (CDL), unifying product and business data sources into a decentralized intelligence architecture.
- Manage the centralization of fragmented data assets into a semantic intelligence layer, ensuring data is accessible for cross-product reasoning and executive decision-making.
- Partner with GTM leadership to deliver actionable insights that improve account management performance and transform platform usage into monetizable, value-based outcomes.
- Drive the transition toward an AI-native PDLC, ensuring the product team is comfortable operating in a high-velocity, automated development environment.
- Lead the strategy for enterprise-wide observability to reduce Mean Time to Resolution (MTTR) while establishing clear KPIs for data quality and decision impact.
- Enforce "Safe-by-Design" protocols, including automated PII redaction and robust access controls to ensure data integrity and compliance.
Requirements
- Proven track record of managing complex data environments, including Big Data, Data Warehousing, and real-time stream management.
- Strong working knowledge of vector databases (pgVector), semantic data structures, and AI orchestration frameworks (e.g., LangChain) sufficient to guide technical teams and validate architectural decisions.
- Significant experience (5-10 years) leading high-performance product teams, with a specific focus on SaaS analytics, observability infrastructure, or usage-based platforms.
- Significant experience in PaaS, enterprise software, or Digital Experience Platform (DXP) environments.
- Ability to drive outcomes in a transformed product landscape where AI is a core capability, not just a feature.
- Strategic maturity that is demonstrated by an ability to manage long-range planning and enterprise-level impact as well as conduct regular business reviews with a focus on P&L impact, product adoption, and financial performance (Revenue, COGS, Margin).
Benefits
- competitive healthcare coverage
- wellness programs
- take it when you need it time off
- parental leave
- recognition programs
- much more!
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