Product Associate

YipitData

Associate Product Manager supporting metrics and data product initiatives at YipitData. Collaborating across teams to ensure data quality and operational rigor in analytics products.

Posted 6/29/2026full-timeRemote • New York • 🇺🇸 United StatesJuniorMid-Level💰 $120,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong data fluency with SQL and familiarity with modern data platforms like Databricks, while effectively collaborating across teams to enhance data quality and scalability through AI tools and best practices.

Highest-signal resume keywords

Data FluencySQLDatabricksAI ToolsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData FluencyData Platform WorkflowsPipelinesPySparkProduct Development LifecycleAgile Practices

Soft Skills

Analytical SkillsCommunication SkillsCollaboration SkillsProblem SolvingAdaptability

Tools & Technologies

AI ToolsLLMsPrompt EngineeringWorkflow Automation

Industry Keywords

Metrics PublishingData QualityData StandardsClient FeedsInternal ProductivityClient Value

Tech Stack

Tools & technologies

PySparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Flexible work hours
Flexible vacation
Generous 401K match
Parental leave
Team events
Wellness budget
Learning reimbursement