Agentic Analytics Engineer

About the Team

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

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.

#LI-DM