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:
- Own and maintain a centralized data inventory of training coverage by building type and trade, with clear quantitative tracking (not qualitative).
- Standardize pre-trial qualification by mapping customer needs against existing data coverage and setting clear expectations before trials begin.
- Prioritize data annotation strategy based on customer demand, coverage gaps, and training priorities, while aligning with key stakeholders.
- Expand data sources through web scraping, customer uploads, partnerships, and public records to continuously enrich training data.
- Coordinate cross-functional execution with annotation teams, engineering, and domain experts without directly managing them.
- 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 schema drift and inter-rater disagreement look like, and you have fixed at least one of them.
- You read code well enough to debug a crawler's output and have a substantive conversation with engineers about training data formats. You do not write production code.
- You have closed at least one external data-sharing partnership — or you have done equivalent BD-style work that ended in a signed deal.
- You are comfortable with construction, or have a track record of going zero-to-credible in a vertical inside 30 days. Senior estimators, GC operations leaders, and BIM managers are people you will be on calls with. You earn their trust quickly.
- You think in inventories and prioritization. When something goes wrong twice, your instinct is to fix the queue, not to do the work yourself.
- You can communicate fluently in English (written and verbal) to collaborate with our US-based team.
- You are comfortable working Indonesia hours with consistent async overlap with US Pacific Time.
Why Join Us:
Our client value and invest in our employees growth and development. As a member of the team, you will have the opportunity to work with cutting-edge technology, collaborate with talented and driven individuals, and make a significant impact on the company's success.
Our client offer competitive compensation, benefits, and a positive and inclusive work culture. Join us and be a part of our journey to transform talent management.
