Agentic Analytics Engineer
About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
As a Senior+ Agentic Analytics Engineer at Opendoor
You will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Build Proactive Intelligence Systems
- Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
- Arcitect systems that shift analytics from "answering questions" to "anticipating needs"
- Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
- Develop natural language interfaces that let business leaders query data conversationally
- Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
- Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
- Design data models that support automated analysis, pattern detection, and AI agent interactions
- Build workflows that connect insight generation to recommended actions
- Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
- Identify high-value opportunities where AI can augment human decision-making
- Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
- Measure impact rigorously—we care about decisions influenced, not dashboards built
Technical Foundation
- 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
- Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
- Strong Python proficiency for data engineering, automation, and AI agent development
- Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
- Hands-on experience building and deploying AI agents or LLM-powered applications in production
- Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
- Experience architecting semantic layers or natural language interfaces for data access
- Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
- Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
- Strong analytical intuition—you know what questions matter before they're asked
- Experience translating ambiguous, cross-functional business problems into technical solutions
- History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
- Experience mentoring other analysts or engineers, formally or informally
- Demonstrated ability to influence senior stakeholders and drive alignment across teams
- Comfort operating in ambiguity and shaping strategy, not just responding to it
- Track record of building systems and processes that scale beyond yourself
Builder Mindset
- You ship products, not just dashboards
- You'd rather build something useful in a week than something perfect in a quarter
- You measure success by business impact, not technical complexity
- You're energized by creating leverage—building once so others benefit forever
Qualifications
- Experience in real estate, fintech, or marketplace businesses
- Background in marketing analytics, sales operations, product analytics, or pricing/economics
- History of building tools or platforms that replaced recurring analyst work
- Experience leading technical projects or small teams
Pay Range
The base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
Research & Development
Seattle, WA
Miami, FL