Sr. Product Manager

Pantomath is an automated data operations platform that addresses the challenges organizations face with data reliability, where manual, time-consuming processes and reliance on tribal knowledge often hinder effective problem resolution.

By automating data monitoring and impact analysis, Pantomath streamlines operations and improves data confidence, quality, and reliability. Enterprises using Pantomath significantly reduce mean time to acknowledgement, mean time to root cause, and mean time to resolution of all data issues across their entire data ecosystem.

Location : Bay Area, CA or Cincinnati, OH

Pantomath is looking for a Sr. Product Manager who is excited to build tools that make data workflows more observable, reliable, and actionable. In this role, you’ll take ownership of high-impact initiatives that drive product strategy, translate user needs into scalable solutions, and collaborate across engineering, design, and go-to-market teams to deliver products customers love. This is a unique opportunity to make a significant impact at a fast-paced, product-led SaaS company tackling some of the most pressing challenges in data operations.

What You’ll Do

• Lead major product initiatives from strategy through execution, balancing daily tactical delivery with multi-quarter strategic priorities.
• Collaborate closely with engineering, design, sales, and customer success to define, build, and launch impactful features.
• Translate market signals, customer insights, and company objectives into clear, actionable requirements.
• Write and maintain Product Requirements Documents (PRDs), customer-facing release notes, and end-user documentation that connect features to business goals and value.
• Partner with CX and Sales to deliver training and enablement that ensures product functionality and changes are well-understood across teams.
• Engage directly with customers to support design partnerships and gather feedback for new feature development and improvements.
• Prioritize and manage the product backlog, making data-driven trade-offs between near-term delivery and long-term vision.
• Define and track success metrics, using analytics and user feedback to guide iteration and continuous improvement.
• Stay current on industry trends in data engineering, observability, lineage, and ETL to inform product direction.

What You Bring

Education & Experience

Skills & Tools