Senior Product Manager – Agentic Data Analytics

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Define, take ownership of, and lead the product strategy for analytics within the agentic datacenter, integrating agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing.

• Engage extensively with customers, ISVs, storage partners, CSPs, and open-source communities to uncover fundamental needs, representing the voice of the customer and integrating insights into product roadmaps and priorities.

• Establish success metrics and requirements for agentic analytics workflows where latency, throughput, cost, correctness, and infrastructure utilization are critical.

• Collaborate with Engineering, Research, DevRel, Field, and Enterprise teams to develop agentic analytics architectures and reference blueprints.

• Act as the primary representative for articulating vision, opportunities, and progress, while setting expectations and managing both internal and external collaborators.

⛳️ Requirements

• BS or MS Degree in a quantitative discipline (such as Computer Science, Applied Mathematics, Computational Science, Engineering, etc.) or equivalent experience.

• Over 12 years of experience in product management, technical product strategy, or a comparable background within data analytics, data/AI infrastructure, or accelerated computing.

• Strong technical expertise in databases, query engines, SQL, Python, and enterprise data platforms, with the capability to quickly prototype agentic workflows, develop proofs of concept, and engage hands-on as a builder.

• Experience in developing agentic products or workflows for data analytics that involve text-to-SQL, semantic layers, enterprise governance and security, and iterative improvement cycles.

• Proven ability to craft strategy in ambiguous technical markets, collaborate across engineering/research/open-source ecosystems, and communicate value propositions effectively to both technical and non-technical audiences.

🏝️ Benefits

• Equity

• Benefits