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 : Cincinnati, OH / Bay Area

Job Summary :

Pantomath is looking for a Senior Product Manager for Connectors with a strong data engineering background to own the strategy and execution of our integrations ecosystem. This role sits at the intersection of product and engineering - defining how Pantomath connects across the modern data stack, from ingestion (Fivetran, DBT, etc.) to warehouse (Snowflake, Databricks, etc.) to visualization (Tableau, Power BI, etc.).

You’ll leverage your technical expertise in data pipelines, APIs, and integration patterns to shape the connector roadmap, partner with engineers to deliver performant, reliable, and scalable integrations to reinforce the Pantomath platform as an integral part of data operations for our customers.

What You’ll Do

Own and evolve the product roadmap, identifying, prioritizing, and determining the feasibility of additional connectors and integrations that expand the capability of the Pantomath platform.

Translate customer and partner needs - as well as your own technical insights - into clear, actionable product requirements.

Write detailed PRDs and collaborate with engineering to design and deliver high-quality connectors.

Apply your data engineering knowledge to ensure integrations meet technical standards for performance, scalability, and reliability.

Replicate complex data pipelines that reflect customer environments for development and quality assurance purposes.

Define and track connector adoption metrics, troubleshooting issues and iterating quickly based on feedback.

Collaborate with the Go-to-Market team to ensure smooth rollout and enablement of releases.

Stay ahead of trends in data engineering, APIs, ETL / ELT, orchestration, and observability to guide roadmap decisions.

Advocate for the developer and data engineer experience - making integrations seamless, discoverable, and easy to maintain.

What You Bring

Education & Experience

Bachelor’s degree in Data Science, Information Systems, Computer Science, or related field.

3+ years of product management experience with a focus on integrations, APIs, or data platform products.

Hands-on background in data engineering, data architecture, or related technical field

Skills & Competencies

Strong technical understanding of APIs, data pipelines, and SaaS integration patterns.

Proven ability to work closely with engineering teams, speaking their language and translating requirements into product outcomes.

Excellent communication skills, able to explain complex concepts to both technical and business stakeholders.

Organized, analytical, and comfortable making data-driven trade-offs.

Preferred Qualifications

Experience with modern data platforms (Snowflake, Databricks, BigQuery, Redshift) and tools like dbt, Fivetran, Airflow, or Tableau.

Prior experience building or managing connector ecosystems in SaaS products.

Familiarity with data observability, lineage, and governance solutions.

Experience working in a high-growth SaaS startup environment.