Agentic Analytics Engineer

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.

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.

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

Implement end‑to‑end solutions using Claude, custom agents, and modern AI tooling

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

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, Big Query, 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’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

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.