Data Products Lead (AI)

Location: Hybrid work policy with 3 days in the office on Tuesday, Wednesday, and Thursday; California candidates are eligible for the stated base-pay range.

Base pay for California candidates: $190,000–$215,000 per year.

Company

hirify.global provides an AI-powered SaaS operating system for institutional real estate investing, combining real estate listings, investment data, and execution workflows.

What you will do

• Own data products from initial customer discovery through launch, monetization, retention, and revenue attribution.
• Replace static reports with self-serve, permissioned analytics and build benchmark products from anonymized, aggregated data.
• Design governed, multi-tenant data models in Snowflake and dbt, plus the semantic layer in Omni, including metrics, tests, freshness, correctness, tenant isolation, and entitlements.
• Deliver customer data through APIs, feeds, warehouse shares, and MCP tools with usage metering and service-level expectations.
• Normalize data from multiple sources into consistent entities and identify data gaps before customers do.
• Run design partnerships, trials, pricing tests, partner reporting, pilot success analysis, and revenue attribution with commercial and business development teams.

Requirements

• 8+ years in analytics, data science, or analytics engineering, including at least one customer-facing data product shipped to production and supported.
• Expert SQL and strong Python; hands-on experience with dbt or Dataform, Snowflake, BigQuery, or Databricks, and Omni, Looker, or a similar semantic layer or BI tool.
• Daily hands-on use of AI tools and LLMs to write code, test, prototype, document, and ship products, including evaluating their output.
• Experience delivering data through APIs, feeds, or warehouse sharing with entitlements and usage tracking.
• End-to-end ownership of a company metric layer, including modeling, lineage, governance, tests, and executive adoption.
• Statistical judgment covering cohort and retention analysis, segmentation, experiment design, forecasting, and distinguishing noise from meaningful results.
• Bachelor’s degree in computer science, statistics, economics, or a related field, or equivalent experience.
• Ability to work with customers, explain methodologies to brokers, product specifications to engineers, and results to board members.
• Ability to ship 0-to-1 work in weeks rather than quarters.

Nice to have

• Commercial real estate, proptech, marketplace, or two-sided network data experience.
• Embedded analytics or experience selling data as a product.
• Data privacy and aggregation design, including de-identification, minimum cell sizes, and entitlements.
• Agentic workflows, MCP servers, or retrieval systems built on structured data.

Culture & Benefits

• Hybrid work policy requiring 3 office days each week: Tuesday, Wednesday, and Thursday.
• Medical, dental, and vision insurance options; Flexible Spending Account; and paid parental leave.
• 401(k), company-sponsored commuter benefits, flexible time off, catered lunches and snacks, and monthly wellness reimbursement.
• AI-assisted tools may be used for interview transcription and internal note-taking.
• Employment eligibility is verified through E-Verify upon hire.

Hiring process

• Interviews are conducted by video conference and may be recorded or transcribed with AI-assisted tools for internal evaluation.
• Accommodation requests during the hiring process can be sent to recruiting@hirify.global.com.