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Sr. Product Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Pantomath
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

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 You’ll 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 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, 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
  • 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, Big Query, 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.

Employment type:

Full‑time. Seniority level:
Mid‑Senior level. Job function:
Product Management and Marketing. Industries:
Software Development.

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