Senior Product Manager, Smart Data Products - Remote Eligible

Senior Product Manager, Smart Data Products

This is a high-impact opportunity for a product leader who wants to shape the future of AI-powered data interaction within a modern data intelligence ecosystem. You will define and drive the strategy for next-generation smart data products, enabling users to interact with data through intelligent, trustworthy AI agents. Working at the intersection of product vision, engineering execution, and AI innovation, you will translate strategic direction into scalable product roadmaps and real-world solutions. This role combines deep product ownership with hands-on collaboration in agile, cross-functional teams, ensuring rapid iteration and high-quality delivery. You will play a key role in bridging business needs with technical capabilities while helping define how users discover, trust, and interact with enterprise data at scale.

Accountabilities:

• Define and translate strategic product vision into a scalable roadmap for Smart Data Products within a data intelligence ecosystem.
• Lead the full product lifecycle from discovery and ideation through development, launch, adoption, and iteration.
• Define success metrics, prioritize features, and ensure alignment between user needs, business goals, and technical feasibility.
• Drive the development of AI-powered data agents enabling conversational and proactive user interactions with data products.
• Lead cross-functional agile squads in collaboration with Engineering, Design, Marketing, Sales, and Customer Success teams.
• Champion the use of AI-driven product development tools to accelerate delivery and improve product quality.
• Partner with go-to-market teams to shape positioning, messaging, and adoption strategies for technical and executive audiences.
• Balance strategic vision with hands-on execution, ensuring alignment across stakeholders from engineers to C-level leadership.
• Ensure data products are discoverable, reliable, scalable, and deliver strong customer value across enterprise environments.

Requirements:

• 5+ years of experience in Software Product Management, ideally focused on Data Products, AI/ML solutions, or Data Platforms.
• Strong understanding of the modern data stack, including data governance, data catalogs, and enterprise data ecosystems.
• Experience delivering enterprise SaaS products from concept to launch and at scale.
• Proven ability to lead cross-functional teams in agile environments and drive high-velocity product delivery.
• Strong technical fluency with the ability to collaborate effectively with engineering teams on complex systems.
• Experience working across both startup and large enterprise environments, with adaptability to different levels of complexity.
• Ability to translate customer insights and stakeholder requirements into clear, actionable product features.
• Strong prioritization skills with the ability to balance short-term execution and long-term product vision.
• Customer-centric mindset with a strong focus on adoption, usability, and product value delivery.
• Bachelor's degree in Computer Science, Engineering, Business, or a related field.
• Bonus: experience in data management domains (e.g., data catalogs, databases, cloud providers) and zero-to-one product launches.

Benefits:

• Competitive compensation package including base salary and variable performance-based pay.
• Fully remote senior role with high strategic visibility and autonomy.
• Opportunity to shape next-generation AI-driven data products used in enterprise environments.
• High-impact position influencing product strategy, execution, and go-to-market direction.
• Collaboration with highly skilled cross-functional teams in product, engineering, and AI.
• Exposure to cutting-edge technologies in AI agents, data intelligence, and modern data platforms.
• Strong emphasis on innovation, experimentation, and rapid product iteration.
• Inclusive and diverse working environment with equal opportunity principles.
• Opportunity to contribute to meaningful, enterprise-scale data transformation initiatives.