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Sr. Product Manager
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-01-23
Listing for:
Pantomath
Full Time
position Listed on 2026-01-23
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager, Data Analyst
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.
- 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.
- 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.
- 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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