채용
필수 스킬
Python
SQL
Go
Airflow
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, Big Query, 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
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
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Opendoor 소개

Opendoor
PublicOpendoor Technologies Inc. is an online company that buys and sells residential real estate. Headquartered in San Francisco, it makes instant cash offers on homes through an online process, makes repairs on the properties it purchases and re-lists them for sale.
1,001-5,000
직원 수
San Francisco
본사 위치
$1.2B
기업 가치
리뷰
3.9
10개 리뷰
워라밸
3.2
보상
3.8
문화
4.1
커리어
2.8
경영진
3.4
72%
친구에게 추천
장점
Flexible hours/schedule
Supportive team/management
Interesting/innovative work
단점
Fast-paced environment
Long hours/overwhelming workload
Limited career advancement/resources
연봉 정보
47개 데이터
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Analyst
2개 리포트
$135,700
총 연봉
기본급
$118,000
주식
-
보너스
-
$135,700
$135,700
면접 경험
1개 면접
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Phone Screening
3
Technical Interview
4
Final Round
5
Offer Decision
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
뉴스 & 버즈
Opendoor (OPEN) Stock Surges 26% in 8 Days — But Can It Last? - MEXC
MEXC
News
·
1w ago
8-Day Rally Sends Opendoor Technologies Stock Up 26% - Trefis
Trefis
News
·
1w ago
Opendoor (OPEN) And Offerpad (OPAD) Spike In After-Hours Trading: What's Going On? - Benzinga
Benzinga
News
·
1w ago
Opendoor Climbs 11% on Breakout Hopes: Is the AI-Driven Housing Stack Finally Getting Its Due? - 24/7 Wall St.
24/7 Wall St.
News
·
1w ago