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.
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
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-RO
- 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-RO
