Product Manager

YipitData (Alternative)

2d•Remote

About The Position

YipitData is seeking an Associate Product Manager (APM) to join the Public Investor team and focus on Metrics & Feeds initiatives. This role is crucial at the intersection of data, platform infrastructure, and client delivery. The APM will be responsible for ensuring the accuracy, standardization, scalability, and reliable publication of YipitData’s data products, specifically metrics tables and client-facing feeds. The work directly supports external dashboards and data delivery systems that are vital for investor workflows, and aims to improve data consumption through programmatic and AI-powered platforms. This position is ideal for an individual early in their product management career who is passionate about data systems, platform thinking, and operational rigor, and who desires to make a significant impact within a cross-functional organization.

Requirements

2–4 years of experience in product management, analytics, data, or a related field.
Strong data fluency, including SQL and familiarity with modern data platforms (e.g., Databricks), pipelines, and PySpark.
Experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices).
Enjoy solving ambiguous problems and building structure where none exists.
Care deeply about data quality, consistency, and scalability.
Comfortable and have familiarity with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers.
Strong analytical, communication, and collaboration skills.
Curious, adaptable, and eager to learn.

Responsibilities

Owning metrics publishing quality and standards across data teams, ensuring datasets reliably power dashboards and client feeds.
Partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices.
Improving and scaling data platform workflows, from ingestion through transformation to delivery, enabling internal productivity and client value.
Leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency.