🛠 Tech Stack

💼 About This Role

You'll define and drive the AI-first product strategy for Snowflake's native Data Observability capabilities—anomaly detection, lineage, and root cause analysis—within Horizon Catalog. Your core impact is transforming how enterprises detect and resolve data quality failures, making pipelines self-healing and self-explaining at scale. This role stands out because you'll lead a high-performing cross-functional team and compete against best-in-class observability platforms with a differentiated roadmap.

🎯 What You'll Do

• Define AI-first product vision and strategy for data observability.
• Build AI-powered capabilities like anomaly detection and root cause analysis.
• Lead cross-functional pod of engineers and designers to deliver features.
• Engage with enterprise customers to validate hypotheses and gather insights.

📋 Requirements

• 5+ years of product management experience in enterprise data infrastructure.
• Deep familiarity with AI/ML concepts and agentic workflows.
• Strong understanding of data quality and observability concepts.
• Developed product strategy and translated it into actionable roadmap.

✨ Nice to Have

• Prior experience at leading data observability platforms.
• Familiarity with lineage standards like OpenLineage or dbt lineage.
• Exposure to agentic workflows for automated root cause analysis.

🎁 Benefits & Perks

• 💰 Competitive salary and equity.
• 🏖️ Flexible time off.
• 🏥 Health, dental, and vision insurance.
• 📈 401(k) plan with company match.
• 🏡 Remote-friendly culture (hybrid options).

📨 Hiring Process

Estimated timeline: 3-6 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Product Interview· 60 min
4. 4Executive Interview· 45 min