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.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
Architect 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
We're Looking for Teammates Who Have
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
Bonus Points If You Have
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
