Product Associate

About the role

We are hiring an Associate Product Manager (APM) to support our Metrics & Feeds initiatives on the Public Investor team. This role sits at the intersection of data, platform infrastructure, and client delivery. You will be responsible for ensuring that YipitData’s data products, specifically metrics tables and client-facing feeds, are accurate, standardized, scalable, and reliably published. Your work will directly enable external dashboards and data delivery that power critical investor workflows, while enabling our data to be more reliably consumed through programmatic and AI-powered surfaces.

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

Requirements

• Have 2–4 years of experience in product management, analytics, data, or a related field.
• Have strong data fluency, including SQL and familiarity with modern data platforms (eg Databricks), pipelines, and PySpark.
• Have 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
• Are comfortable and have familiarity with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers.
• Have strong analytical, communication, and collaboration skills.
• Are curious, adaptable, and eager to learn.

Qualifications

• Education: Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.
• Experience: 2-4 years of relevant work experience.

Skills

• Data Fluency: Strong proficiency in SQL and familiarity with modern data platforms (Databricks, pipelines, PySpark).
• Collaboration: Ability to work effectively with cross-functional teams.
• Problem Solving: Experience in solving ambiguous problems and building structure where none exists.
• Communication: Strong written and verbal communication skills.
• Adaptability: Willingness to learn and adapt to new technologies and methodologies.

Benefits

• Comprehensive benefits, including flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Competitive salary range: $120,000 - $130,000.
• Equity: Compensation package includes equity.

Pay

The annual base salary for this position is anticipated to be $120,000 - $130,000. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.

Schedule

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.