Jobs
Benefits and perks
•401(k)
•Healthcare
•Unlimited Pto
Required skills
SQL
Python
Data modeling
LLM
AI agents
Data architecture
Prompt engineering
About the Team:
As a Finance Automation Lead at Opendoor, you will join the Finance team reporting to the President of Opendoor with a mandate to 10x our data leverage across Finance. This is a high-impact IC role at the intersection of data architecture, AI engineering, and financial systems.
**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. You are a builder with a product mindset who will help transform Finance from a service function into a product—one that delivers real-time insights, automated workflows, and self-service capabilities to every team at Opendoor. You understand how LLMs work, you’ve built agents, and you understand how finance data can be leveraged and structured with these models.
Build AI-Powered Finance Infrastructure
Design and deploy AI agents that automate data fetching, analysis, reporting, and forecasting workflows
Architect data pipelines connecting financial planning systems (Adaptive) to Snowflake and downstream applications
Build semantic layers that enable non-technical finance team members to access data through natural language
Create Finance Tools & Products
Develop internal tools that transform manual finance processes into automated, scalable products
Build dashboards and self-service interfaces that eliminate analyst bottlenecks
Create systems that enable managers to answer their own headcount, budget, and forecast questions without finance intervention
Own Data Architecture for Finance
Organize finance data for best-in-class LLM capabilities
Design data models that support automated analysis, real-time querying, and AI agent interactions
Establish data quality frameworks and governance for financial systems
Drive Automation at Scale
Identify high-value automation opportunities across Finance (accruals, reporting, forecasting, variance analysis)
Implement workflow automation using tools like Gumloop, Claude, and custom-built agents
Measure and improve automation accuracy, reducing manual intervention over time
We're looking for teammates who have:
Technical Foundation
3+ years of experience building data systems in a finance, analytics, or data engineering role
Advanced SQL proficiency with ability to design complex data models and optimize query performance
Production experience with Python for data engineering, automation, and AI agent development
Hands-on experience with modern data warehouses (Snowflake, Big Query, or similar)
Track record of building and deploying AI agents or LLM-powered applications in production environments
AI & Automation Expertise
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
Experience architecting semantic layers or natural language interfaces for data access
Familiarity with AI orchestration frameworks (Lang Chain, Llama Index, or similar)
Proven ability to identify high-ROI automation opportunities and implement end-to-end solutions
Experience with workflow automation tools and API integrations
Data Architecture & Systems Design
Strong data modeling skills with focus on enabling both human analysts and AI agents
Experience designing data pipelines that connect planning systems (like Adaptive, Anaplan) to data warehouses
Understanding of data governance, quality frameworks, and metadata management
Ability to architect scalable systems that reduce analyst bottlenecks and enable self-service
Product & Business Mindset
Builder mentality with ability to ship functional products, not just analyses
Experience translating messy business problems into clean technical solutions
Strong stakeholder management skills with ability to influence senior finance leadership
Comfort working in ambiguous, fast-moving environments with evolving requirements
Systems thinking approach to understanding complex problems and their root causes
Bonus points if you have:
Experience in fintech, real estate tech, or high-velocity transaction businesses
Background in financial planning & analysis (FP&A) or corporate finance
Familiarity with finance-specific tools (Adaptive Insights, Net Suite, etc.)
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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About Opendoor

Opendoor
PublicOnline company.
1,001-5,000
Employees
San Francisco
Headquarters
$1.2B
Valuation
Reviews
3.9
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
4.1
Career
3.0
Management
3.5
75%
Recommend to a friend
Pros
Flexible schedule/hours
Great team/colleagues
Interesting/innovative work
Cons
Fast-paced environment
Long hours/overwhelming workload
Limited career advancement/resources
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Administrative Assistant
0 reports
$69,580
total per year
Base
-
Stock
-
Bonus
-
$59,143
$80,017
Interview experience
1 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Phone Screening
3
Technical Interview
4
Final Round
5
Offer Decision
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
News & Buzz
Opendoor Technologies Stock (OPEN) Opinions on Upcoming Q1 Earnings - Quiver Quantitative
Quiver Quantitative
News
·
3d ago
‘Accidental Landlords’ Hit Near-Record Levels — 1 Stock to Buy, 1 to Avoid - 24/7 Wall St.
24/7 Wall St.
News
·
3d ago
Top Opendoor Executive Makes Notable Move With Fresh Stock Sale - TipRanks
TipRanks
News
·
3d ago
Opendoor (OPEN) CLO reports tax-withholding on vested RSU shares - Stock Titan
Stock Titan
News
·
4d ago