Sr. Product Manager

Job Summary

Pantomath is hiring a Senior Product Manager for Connectors with direct, hands-on data engineering experience to own the strategy and execution of our integrations ecosystem. This role sits squarely at the intersection of product leadership and data engineering.

About the role

• Own the connectors product strategy and roadmap, making informed, technical decisions about which integrations to build.
• Leverage your data engineering background to evaluate feasibility and long-term maintainability of integrations.
• Translate customer needs, partner requirements, and technical constraints into clear, detailed PRDs that engineers can execute against without ambiguity.
• Partner closely with engineering to design, build, test, and ship connectors that meet strict standards for reliability, scalability, observability, and security.
• Replicate real-world customer data environments and pipelines to validate connector behavior, and ensure production readiness.
• Define success metrics for connectors (adoption, reliability, latency, error rates) and actively monitor, diagnose, and iterate based on data and feedback.
• Work with Go-to-Market teams to support launch readiness, technical enablement, and customer-facing documentation.
• Stay current on trends and best practices across ETL/ELT, APIs, orchestration, data observability, and cloud data platforms to inform roadmap decisions.
• Advocate for a best-in-class developer and data engineer experience, ensuring integrations are intuitive, discoverable, and easy to operate at scale.

Required Qualifications (Non-Negotiable)

• Hands-on experience in data engineering, data architecture, or a closely related technical role (e.g., building pipelines, managing integrations, working with production data systems).
• 3+ years of product management experience working on technically complex products such as data platforms, integrations, APIs, or developer-facing tools.
• Strong, working knowledge of: APIs and SaaS integration patterns, data pipelines and workflows (ETL/ELT), cloud data warehouses and modern data stacks.
• Proven ability to partner deeply with engineering teams and make informed trade-offs.
• Able to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field (or equivalent practical experience).
• Experience working with tools and platforms such as Snowflake, Databricks, BigQuery, Redshift, dbt, Fivetran, Airflow, Tableau, or Power BI.
• Prior ownership of a connector or integrations ecosystem within a SaaS or data product.
• Familiarity with data observability, lineage, governance, or metadata platforms.
• Experience in a high-growth SaaS or developer-focused product environment.

Preferred Qualifications

• Has actually worked with data systems, not just managed timelines around them.
• Enjoys being close to the technical details and using that depth to drive product decisions.

Who This Role Is (and Isn't) For

This role is ideal for a PM who:

• Has actually worked with data systems, not just managed timelines around them.
• Enjoys being close to the technical details and using that depth to drive product decisions.

This role is not a fit for PMs without a technical or data background.

Pay Range

For this role, the pay range is $124,000 - $182,000.