Senior Product Manager - Agentic Data Analytics

What you'll be doing

• Define, own, and drive the product strategy for analytics in the agentic datacenter, connecting agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing
• Engage deeply with customers, ISVs, storage partners, CSPs, and open-source communities to discover underlying needs, owning the voice of the customer and incorporating insights into roadmaps and priorities
• Establish success metrics and requirements for agentic analytics workflows where latency, throughput, cost, correctness, and infrastructure utilization all matter
• Collaborate with Engineering, Research, DevRel, Field, and Enterprise teams to create agentic analytics architectures and reference blueprints
• Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators

What we need to see

• BS or MS Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Engineering, etc.) or equivalent experience
• 12+ years of product management, technical product strategy, or similar background in data analytics, data/AI infrastructure, or accelerated computing
• Strong technical proficiency with databases, query engines, SQL, Python, and enterprise data platforms, with the ability to rapidly prototype agentic workflows, build proofs of concept, and get hands-on as a builder
• Experience building agentic products or workflows for data analytics involving text-to-SQL, semantic layers, enterprise governance and security, iterative improvement cycles, etc.
• Track record of crafting strategy in ambiguous technical markets, partnering across engineering/research/open-source ecosystems, and communicating value propositions clearly to technical and non-technical audiences

Ways to stand out from the crowd

• Experience building evaluation datasets and improving agentic analytics systems across critical factors, including generated query correctness, cost, latency, and failure recovery
• Familiarity with query optimization and cost estimation, workload orchestration, or production scheduling in distributed data systems
• Experience translating performance benchmarks, TCO models, or CPU/GPU tradeoffs into product strategy and customer-facing value propositions

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.