Product Manager (Data Integration)

TL;DR

Product Manager (Data Integration): Leading the roadmap for Snowflake's Openflow native data integration platform with an accent on database and SaaS connectors. Focus on scaling data replication pipelines, optimizing TCO, and driving field enablement using CDC and AI-driven insights.

Location: Must be based in Menlo Park, CA or Bellevue, WA

Salary: $200,000 – $287,500

Company

A cloud data platform powering the era of the agentic enterprise through AI-native thinking and high-scale data solutions.

What you will do

• Own the end-to-end product roadmap for database and SaaS connectors from discovery to GA.
• Collaborate with engineering, design, and sales to define requirements and manage the backlog.
• Lead strategic decisions on architecture transitions and TCO optimization.
• Improve field enablement via observability tools, dashboards, and sizing calculators.
• Utilize AI, SQL, and usage telemetry to inform prioritization and product decisions.
• Balance reliability, performance, and customer experience across a technical product area.

Requirements

• 5+ years of product management experience in data infrastructure, ETL/ELT, or data integration.
• Hands-on experience with Change Data Capture (CDC) and log-based replication.
• Proven track record of taking technical products from discovery to GA.
• Strong cross-functional collaboration skills in globally distributed teams.
• Bachelor's degree in a related field or equivalent experience.

Nice to have

• Knowledge of ETL tools like Fivetran, Airbyte, HVR, Stitch, or Informatica.
• Experience creating field-facing artifacts such as pricing tools and sizing guides.
• Application of AI and GenAI workflows to accelerate product discovery and prioritization.

Culture & Benefits

• Culture focused on impact, innovation, and collaboration.
• Fast-paced environment operating with an experimental mindset.
• High-ownership and high-visibility role within a rapidly growing platform.
• Opportunity to redefine the future of work by treating AI as a high-trust collaborator.