Product Manager Paid Consultant - Data Contracts, Ingestion, Modeling & Quality

We are seeking experienced senior data engineers and analytics engineers (or data product engineers with production pipeline ownership) to provide expert insight as part of a project for our AI Marketplace. No preparation required — just your real-world experience.

This is a one-time, paid, project-based interview engaged on a contract basis— not a full-time role.

• Location: U.S.-based experts only
• Engagement: One-time, project-based interview
• Work Type: Remote

Estimated rate: $125/hour (prorated for the 30-minute task)

What You’ll Do

You’ll complete a ~30-minute recorded AI-led video interview where you explain how you actually do your work in practice.

This interview will focus on:

• Gathering data-product requirements and defining data contracts
• Building ingestion, integration, modeling, transformation, and versioned data assets
• Creating quality checks, validation thresholds, test data, and certification gates
• Deploying pipelines through CI/CD, orchestration, release controls, and rollback planning

You will be asked to explain workflows specifically within: requirements, contracts, source ingestion, transformation, testing, validation, deployment, and orchestration workflows.

You should only apply if you can confidently walk through these areas step-by-step based on your own experience and respond to AI-led interview questions with depth, clarity, and real-world examples.

What We’re Looking For

• 6+ years in data engineering, analytics engineering, or data product engineering in production data environments
• Direct, hands-on experience in requirements, contracts, source ingestion, transformation, testing, validation, deployment, and orchestration workflows
• Experience making or influencing decisions related to data contract scope, schema evolution, transformation logic, validation thresholds, deployment readiness, rollback, and consumer impact
• Familiarity with tools such as: SQL, Python, dbt, Airflow, Spark, Databricks, Snowflake, BigQuery, Fivetran, GitHub, Great Expectations
• Strong ability to clearly explain workflows, decisions, and reasoning
• Experience owning or directly executing these workflows in a real production environment
• Experience working cross-functionally with HR, legal, payroll, finance, HRIS, business leaders, people managers, or compensation committee stakeholders as relevant to the workflow

About the Interview

The interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries.

This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose.

Once you complete the interview, we’ll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement.

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