Senior+ Agentic Analytics Engineer

Job title: Senior Agentic Analytics Engineer

About the Role

Opendoor is building an AI-first analytics organization, blending data science, data engineering, and AI to enable proactive insights and decision-making. As a Senior Agentic Analytics Engineer, you will help design AI agents and systems that surface actionable insights and guide leaders—shipping AI-driven decisions across the business.

What You'll Do

• 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.

• 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.

• 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.

• Identify high-value opportunities where AI can augment human decision-making and implement end-to-end solutions using Claude, custom agents, and modern AI tooling.

• Measure impact rigorously—we care about decisions influenced, not dashboards built.

• What We're Looking For

• 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.).

• 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.

• 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.

• 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.

• You ship products, not just dashboards; you measure success by business impact, not technical complexity.

• 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.

• Nice to 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.

• Compensation & Benefits

• 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 qualifications, knowledge, skills, and experience.

• Comprehensive benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) for eligible employees.