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Senior Product Manager, Data (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior Product Manager, Data. in the . United States. .. This role offers a unique opportunity to lead the vision and execution of a data platform that powers multiple web, mobile, and AI-driven products. You will define the roadmap for data pipelines, integrations, and internal APIs that enable teams to build more reliable, scalable, and powerful products. Collaborating closely with engineering, operations, and AI teams, you will ensure consistent, high-quality data flow across complex systems. The position involves cross-functional leadership, problem-solving in fast-paced environments, and driving improvements in both developer and end-user experiences. Candidates should be proficient in SQL, data modeling, cloud infrastructure, and have experience with modern data pipelines. This role directly impacts the efficiency and performance of the platform, enabling teams to deliver mission-critical products with confidence and speed.. . Accountabilities. Own the roadmap for data pipelines, integrations, and internal APIs supporting product teams.. Drive integrations with HRIS, payroll, and external systems to maintain consistent, trustworthy data.. Define metrics, SLAs, and monitoring processes for platform performance, reliability, and developer satisfaction.. Collaborate with AI engineers to support data-driven AI features and internal tooling.. Oversee data operations, designing processes and automations to streamline workflows and ensure data integrity.. Address critical issues rapidly, coordinating across teams to resolve data import failures, bugs, or inconsistencies.. Partner with cross-functional teams to standardize processes, improve data quality, and enhance the developer experience.. . 6+ years of product management experience, with 3+ years focused on data and integrations.. Experience building or operating modern data pipelines (e.g., Airbyte, dbt, Dagster).. Strong proficiency in SQL, data modeling, and cloud data architectures.. Familiarity with secure data design, PII isolation, row-level security, and compliance standards (SOC 2).. Experience managing diverse data sources (APIs, CSVs, S3) and publishing APIs for downstream systems.. Ability to define and enforce standards for data quality, schema validation, and anomaly monitoring.. Comfortable working in a fast-paced, entrepreneurial environment with ambiguity.. Curiosity or experience with AI/LLM-powered data products and developer-facing data APIs.. Authorized to work full-time in the United States without sponsorship.. . Company Location: United States.