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JobsOpendoor

Finance Automation Lead

Opendoor

Finance Automation Lead

Opendoor

Toronto

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

401(k)

Healthcare

Unlimited PTO

401k

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

Opendoor

Public

Online company.

1,001-5,000

Employees

San Francisco

Headquarters

$1.2B

Valuation

Reviews

3.8

1 reviews

Work Life Balance

3.5

Compensation

3.5

Culture

4.0

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Proven business model

Good talent from top universities

Strong mentorship opportunities

Cons

Lower total compensation than competitors

Below market salary

Limited financial benefits

Salary Ranges

1 data points

Junior/L3

Junior/L3 · Business Analyst

0 reports

$118,405

total / year

Base

-

Stock

-

Bonus

-

$100,644

$136,166

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Phone Screen

3

Technical Round

4

Final Round Interview

5

Offer Decision

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience