Data Product Manager

About this role

Company Overview:

Our Client is the professional AI platform built specifically for construction and backed by leading Silicon Valley venture capitalists.

Position Overview:

Our client is hiring a Data Product Manager to own the data coverage workstream. Your job is to make sure that for every customer trial we open, we know exactly what we have trained on, where coverage is strongest, and what we need next. Data is a product feature. You characterize coverage with numbers, prioritize the work that expands it, and make sure customers walk into trials with the right expectations from day one.

Key Responsibilities:

1. Own and maintain a centralized data inventory of training coverage by building type and trade, with clear quantitative tracking (not qualitative).
2. Standardize pre-trial qualification by mapping customer needs against existing data coverage and setting clear expectations before trials begin.
3. Prioritize data annotation strategy based on customer demand, coverage gaps, and training priorities, while aligning with key stakeholders.
4. Expand data sources through web scraping, customer uploads, partnerships, and public records to continuously enrich training data.
5. Coordinate cross-functional execution with annotation teams, engineering, and domain experts without directly managing them.
6. Establish a weekly operating cadence and reporting to track coverage progress, identify gaps, and provide leadership with clear visibility on readiness for upcoming trials

Qualifications:

• You have **3 to 8 years working on data for an ML or AI product**. You have shipped models where data, not modeling, was the constraint.
• You have **owned a data inventory or coverage taxonomy** before — you can describe, with specifics, the schema you used, how you kept it accurate, and how it drove decisions.
• You are **comfortable with annotation operations**. You have worked with labeling teams, you know what...