THE POSITION:We're building enterprise AI platforms that automate document-intensive review workflows across the business. The AI does the heavy lifting on document understanding, rule validation, and exception detection. The Product Engineer builds what users actually see and use - the reviewer workbench, the executive reporting layer, the data products, and the audit-ready outputs that turn AI insights into business decisions.
This is a hybrid product engineering + analytics engineering role. You'll partner with the AI Solution Architect (who owns the agents) and the MLOps Engineer (who owns the data platform) to ship the user-facing layer. You report to the Head of AI & Data Strategy. Responsibilities include but are not limited to:
Reviewer Workbench & application engineering- Reviewer-facing application - triage incoming documents, accept or override AI recommendations, annotate decisions
- UI/UX patterns that match how reviewers actually work today (comment logs, page-level evidence links, override flows)
- Feedback capture - every reviewer interaction trains the model and refines the rule packs
- Application performance at scale - handling high document volumes with thousands of pages of supporting context
- Surfacing of agent outputs, confidence scores, and citations to reviewers in a way they trust
Reporting, dashboards & executive visibility- Power BI dashboards on Databricks SQL Warehouse - review throughput, accuracy, time saved, operational metrics
- Executive reporting layers for SLT and business leadership
- Portfolio analytics - cross-domain benchmarks, trend analysis, anomaly surfacing
- Quarterly reporting infrastructure for SteerCo and AI Program Council reviews
Data products & analytics engineering- Clean, documented Gold-layer data products on Unity Catalog - reusable across business stakeholders, IT Delivery, AI team
- Output generators - auto-produce Excel + Word + linked evidence outputs per reviewed item, audit-ready by default
- APIs and integration patterns surfacing platform outputs to enterprise systems and business workflows
- Analytics engineering standards - dbt or equivalent modeling, version control, lineage, documentation
User research & adoption- Direct work with business users - what's slowing them down, what's working, what they need next
- Fast-cadence iteration based on real user feedback, not quarterly release cycles
- User documentation, training materials, onboarding flows for end users and report consumers
- Cross-functional partnership with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLT
THE DETAILS:- Location: Denver, CO
- Travel: Under 10%
- Benefits: Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave Programs
- Must be eligible to work in the United States
- Must pass comprehensive background and drug screening
MUST-HAVE QUALIFICATIONS:- 5+ years building data-intensive applications, internal tools, or data products in production
- Full-stack capability - modern web frameworks (React, Vue, or equivalent), Python or TypeScript, SQL
- Production experience with at least one BI/reporting tool (Power BI preferred)
- Strong SQL on Databricks SQL Warehouse, dbt, or equivalent lakehouse modeling
- Proven UX intuition - you have shipped internal tools real users adopt and improved them based on observed behavior
- Experience designing reporting consumed by executive stakeholders - balancing detail, accuracy, clarity
- Microsoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID)
- Bachelor's degree in Computer Science, Engineering, or related field
Nice to have- Power BI Data Analyst Associate or Databricks Data Analyst Associate certifications
- Document-heavy UX experience - PDF viewers, annotation tools, evidence linking, comment logs
- Experience surfacing LLM outputs to end users - confidence scoring, override flows, citation interfaces
- React + TypeScript + modern frontend tooling and component libraries
- Embedded analytics (Power BI embedded, Looker embedded, or equivalent)
- Construction, real estate, data center, or AEC industry context
- Experience operating in a small AI team where you wear multiple hats
How you work- You build for the user in front of you. You would rather watch a user use what you built than read about adoption metrics.
- You're comfortable with ambiguity. You figure out what the user needs by talking to them, not by waiting for a spec.
- You ship small and often. Big quarterly releases are not your model.
- You think about data products as products. A Gold-layer table should be documented, versioned, and reliable.
Compensation Range: $128,260.00 - $146,017.59
THIS MIGHT BE RIGHT FOR YOU IF:- You are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.
- You do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.
- You are a team builder. You take the time to understand and develop the strengths of your resources while formulating long-term plans for the growth and success of the team.
- You are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.
