Staff Product Manager, AI

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Actian

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SaaS • Data Management • Enterprise

Actian is a company that offers data management and analytics platforms, enabling businesses to make confident, data-driven decisions. Their products include a cloud-native SaaS solution and a comprehensive data platform with capabilities in data management, integration, quality, analytics, and app modernization. Actian's technology supports flexible deployment options across on-premises, cloud, and hybrid environments. Their database solutions include NoSQL, RDBMS, and other database management systems ideal for diverse applications. Actian collaborates with major cloud platforms like Google Cloud, AWS, and Microsoft Azure, providing solutions across various industries such as financial services, healthcare, and retail. The company aims to empower organizations by simplifying how data is connected, managed, and analyzed, offering reliable, scalable, and high-performance solutions.

201 - 500 employees

Founded 1980

☁️ SaaS

🏢 Enterprise

📋 Description

• Define and drive the roadmap for AI within our data intelligence product, focusing on new agents and orchestration, agent activity tracking, security/compliance enforcement, and business impact analytics. • Own the full product lifecycle from discovery through launch, iteration, and adoption, including setting success metrics, prioritizing features, and ensuring high-quality execution. • Lead cross-functional initiatives, collaborating with Engineering, Design, Marketing, Sales, and Customer Success to deliver a best-in-class agentic AI experience. • Build relationships with key stakeholders and business partners. • Partner with Go-to-Market teams to position our AI value proposition, shape product messaging, and drive adoption among technical and executive audiences.

🎯 Requirements

• 5+ years in Software Product Management, with at least 1 year owning zero-to-one or early-stage product launches and/or startup experience. • Strong technical understanding of agentic AI architectures and frameworks. Required: Technical fluency and working knowledge of AI/ML concepts, LLMs, and agent frameworks (e.g. LangGraph, MCP Servers, Cursor AI). • Proven experience building and deploying AI agents in close collaboration with Engineering and Research teams. • Skilled at translating customer and stakeholder needs into innovative product features. • Track record of shipping enterprise-grade SaaS features from ideation through scale. • Able to balance short-term execution with long-term vision. • Customer-driven and passionate about customer success. • Bachelor's degree in Computer Science, Engineering, Business, or related field.

🏖️ Benefits

• Competitive compensation, including base salary and variable compensation