San Francisco, California, United States · Hybrid
$124k–$182k/yr
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 in…
Skills: Product Management, Data Engineering, API Design, ETL/ELT Pipelines, Technical Architecture
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Own the strategy and execution of the connectors ecosystem, defining how the platform integrates with modern data stacks. Partner with engineering to design and ship scalable, production-grade integrations while monitoring success metrics like reliability and latency.
Requires 3+ years of technical product management experience and hands-on data engineering expertise in building pipelines and managing APIs. A bachelor's degree in a technical field like Computer Science or Engineering is required.
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. You will be responsible for defining how Pantomath connects across the modern data stacks- from ingestion and transformation (Fivetran, dbt, Airflow) to cloud warehouses (Snowflake, Databricks) to analytics and BI tools (Tableau, Power BI).
This is not a generalist PM role. To be successful, you must have firsthand experience designing, building, or maintaining data pipelines and integrations and be comfortable engaging deeply with technical architecture, APIs, and performance trade-offs. You will use that experience to set technical direction, write precise requirements, and partner closely with engineering to deliver reliable, scalable, production-grade connectors.
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.
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.
Ability 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.
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 is 124,000 - 182,000
Know why data pipelines break. Fix them in real-time. Welcome to the era of self-healing pipelines.
Pantomath is the AI-powered Data Operations Center that identifies, investigates, and mitigates data reliability issues across the data analytics ecosystem. We provide real-time end-to-end visibility, automated root cause analysis & event correlation, and cross-platform remediation. Using purpose-built AI agents and a proprietary cross-platform interoperable data fabric, Pantomath automates the entire incident lifecycle: identifying the issue, pinpointing the single root cause, alerting the right team, and executing immediate containment and mitigation. We empower organizations to move beyond costly reactive fixes, ensuring trustworthy data is delivered consistently and confidently to all stakeholders and consuming systems. Think of the possibilities with Pantomath.
Offices: Cincinnati, OH 45040, US
Know why data pipelines break. Fix them in real-time. Welcome to the era of self-healing pipelines.
Pantomath is the AI-powered Data Operations Center that identifies, investigates, and mitigates data reliability issues across the data analytics ecosystem. We provide real-time end-to-end visibility, automated root cause analysis & event correlation, and cross-platform remediation. Using purpose-built AI agents and a proprietary cross-platform interoperable data fabric, Pantomath automates the entire incident lifecycle: identifying the issue, pinpointing the single root cause, alerting the right team, and executing immediate containment and mitigation. We empower organizations to move beyond costly reactive fixes, ensuring trustworthy data is delivered consistently and confidently to all stakeholders and consuming systems. Think of the possibilities with Pantomath.
Offices: Cincinnati, OH 45040, US
