Job Description

Sr. Product Manager, Pantomath Cincinnati, OH / Bay Area

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.).

What Youll Do

• Own and evolve the product roadmap, identifying, prioritizing, and determining 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 highquality 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, troubleshoot issues and iterate 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.

Education & Experience

• Bachelors 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.
• Handson 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 datadriven tradeoffs.

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 highgrowth SaaS startup environment.

Employment type: Fulltime. Seniority level: MidSenior level. Job function: Product Management and Marketing. Industries: Software Development.

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