Senior Product Manager (AI-Native Data Platform)

Senior Product ManagerLocation: Palo Alto - Hybrid (very flexible here 1-3 days a week on-site)$200k-250k base pay + full benefits (We are extremely well funded with close to 200 employees experiencing huge company growth)Product Strategy & OwnershipOwn and evolve a 1–3 quarter roadmap, balancing customer needs, technical investment, and business goals. Turn vision into clear priorities aligned with company strategy, making smart trade-offs based on impact and effort. Think in systems, not just features.Customer Insight & DiscoveryBuild a deep understanding of analyst workflows. Continuously gather insights from interviews, usage data, and sales/support signals. Clearly define problems before solving, factoring in enterprise constraints like governance and compliance.AI-Native Product DevelopmentUse AI (LLMs, copilots, workflows) as a core tool. Prototype quickly to validate ideas, and identify where AI can improve workflows. Ensure solutions are reliable, explainable, and enterprise-ready.Product Development & ExecutionPartner with engineering and design to deliver high-quality products. Write clear specs, define success metrics, and track impact. Monitor progress, manage risks, and maintain high standards for usability and reliability.Cross-Functional LeadershipAlign teams around shared goals, communicate clearly, and resolve ambiguity quickly. Support product positioning through docs, demos, and customer-facing materials.Operational OwnershipOwn product health, including performance, adoption, and iteration. Build repeatable processes to improve speed and consistency.Required:8+ years in product management (data, analytics, developer tools, or enterprise software). Strong knowledge of data workflows and infrastructure. Experience working with engineering, APIs, and AI-powered systemsPreferred:Startup experience (Series A–C). Comfortable using AI tools and prototyping ideas quickly. Familiarity with Spark, SQL, data pipelines, and orchestration. Experience with enterprise customers and data environments. Data-driven decision-making skills.Experience shipping AI/ML features. Deep knowledge of modern data platforms (e.g., Snowflake, Databricks, BigQuery).Benefits:99% of employee health insurance premiums covered; 75% for dependents$200/month stipend for remote work, wellness, fitness, and self-careFlexible PTOProfessional development budgetCompany-sponsored long-term disability, life insurance, FSA/HSA, dental, vision, and moreOpportunity to shape an innovative platformFull ownership of projects from start to finish