About the role:

What you’ll do:

• Own end-to-end execution across operational workflows; handle exceptions, escalations, and anything that falls outside automated processes
• Work directly with third-party providers, vendors, and community or regulatory bodies to resolve issues and move cases to resolution
• Validate AI-generated outputs; take ownership of quality, accuracy, and effectiveness before downstream impact
• Manage a high volume of open cases simultaneously against hard deadlines
• Cross-train across workflows to cover volume variability
• Identify process gaps and give feedback on where tools or workflows need to improve

What you’ll bring:

• Comfort working with AI tools and a genuine interest in using technology to work faster and smarter; you don't wait for systems to do your job, you figure out how to make them work for you
• Strong project management instincts with the ability to drive multiple workstreams to hard deadlines
• Persistence and follow-through when working with unresponsive third parties
• High accountability and urgency around deadlines with direct customer impact
• Strong communication skills: you'll manage external relationships, negotiate, escalate issues, and resolve disputes by phone and in writing
• Attention to detail and strong documentation habits across a large portfolio
• Comfortable working in a high-ambiguity environment where you're helping build the playbook
• Background in operations, case management, project coordination, property management, real estate, insurance, mortgage/escrow, or similar is a plus
• Opendoor is actively consolidating its internal tooling stack; comfort with new systems and change is essential

AI Operations Engineer 

Team: Technical Operations - AI Operations

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Location

This is an in-person role that must be performed from the Phoenix, AZ office. Candidates must be able to be physically present in the office 4 days a week.

About the Role

We’re seeking an exceptional Senior Accountant to join our Accounting & Finance team. The ideal candidate brings a strong foundation in accounting, public company experience, and a forward-looking mindset around automation and AI-driven process improvement. You’ll be expected to apply sound judgment on accounting matters while identifying opportunities to modernize how the team operates.

What You Will Do

• Leverage AI tools and emerging technologies to streamline accounting workflows, enhance data analysis, and support scalable processes as the business grows
• Design, recommend, and implement automation initiatives (e.g., scripting, workflow tools, ERP enhancements) to reduce manual effort and improve close efficiency
• Prepare and review journal entries, and month-end close deliverables including balance sheet reconciliations, flux analyses, and bank reconciliations — ensuring completeness, accuracy, and well-documented support.
• Support the preparation of Opendoor’s consolidated financial statements and assist with external financial statement audits, including SOX and internal controls documentation, audit support, and controls testing
• Prepare monthly consolidation and elimination journal entries, including transactions involving multiple currencies and intercompany activities. 

What You Need

• Bachelor’s degree in Accounting or Finance
• Minimum 3+ years of progressive accounting experience in a fast paced environment
• Familiarity with automation and AI/ML tools (Chat GPT, Claude) and a willingness to explore how emerging technology can improve accounting processes
• Experience with SOX compliance and internal controls over financial reporting
• Proficiency in Microsoft Excel (advanced functions, pivot tables, lookups) and comfort working with large datasets
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities during close
• Excellent written, verbal, and interpersonal communication skills.
• Ability to meet deadlines, independently manage your time, and be self-motivated in a fast-paced environment

Bonus Points If You Have

• Licensed CPA or CPA candidate
• Real estate accounting experience or exposure to inventory-based business models
• NetSuite or other enterprise ERP experience (Oracle, SAP, Workday)
• Experience building or improving automated reconciliations or close management workflows
• Prior experience at a high-growth or publicly traded technology company, or a Big 4 accounting firm. 

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-RM

#LI-Onsite

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

About the Role

We’re looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.

What You'll Need

• Strong software engineering and coding skills in Python, with experience contributing to production codebases
  
  
• Experience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systems
  
  
• Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
  
  
• Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
  
  
• Solid foundation in statistics and experimental design
  
  
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
  
  

Nice to Have

• Familiarity with Pyspark and distributed data processing
  
  
• Background in search, recommendation systems, or personalization
  
  
• Experience working with large language models (LLMs) or vision-language models (VLMs)
  
  
• A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data
  
  

What You'll Do

• Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
  
  
• Build interpretable ML models that can help us explain pricing decisions to customers
  
  
• Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
  
  
• Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
  
  
• Improve the feature engineering and model training pipelines that power our production systems
  
  
• Rethink our risk and optimization models using real-world data and domain insight
  
  

We’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.

Compensation

The base pay range for this position is $156,800-$310,000 annually, plus RSUs. 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.

#LI-RO

Location

This is an in-person role in the Toronto, Ontario office. Candidates must be based within a 50-mile commuting distance of the office (240 Richmond St W, Toronto, ON) and able to be physically present in the office 4 days a week. 

About the Team

The Executive Operations team supports Opendoor’s leadership. We operate as a direct expression of Opendoor’s values: Founder Mentality, Mission Over Ego, Default to AI, and Default to Open.

Our job is simple to say and hard to do well: we clear the path so our leaders move fast. We protect time, surface the right information, anticipate friction, and solve problems before they land on a leader’s desk.

About the Role

We’re hiring an Executive Operations Partner to support a senior leader out of our Toronto office, while also serving as the local point of contact for the Toronto workplace (~80% executive support, ~20% light office support).

The leader you’ll support is collaborative, fast-moving, and values directness. This role is built around a real partnership, someone who’ll push back when something doesn’t make sense and isn’t afraid to get into the details. There’s no formal playbook. You’ll build your own systems and approach from day one.

The long-term vision for this role is to use AI to automate the core operational work, which frees up your time to expand into more strategic, partnership-level responsibilities. The more you automate the basics, the more your role evolves. This isn’t a role where the work stays static.

What You’ll Do

The Operational Backbone:

• Own complex calendar management: protect focus time, flag conflicts proactively, and keep meeting cadence aligned with business priorities.
• Run end-to-end travel planning and logistics: flights, hotels, ground, itineraries, and real-time adjustments.
• Coordinate meeting logistics: agendas, pre-reads, notes, action items, and follow-ups.
• Draft emails, Slacks, and internal comms in your leader’s voice, at their standard.
• Manage expenses and Ramp submissions accurately and on time.
• Plan team events, offsites, and All-Hands from kickoff through run-of-show.

The Strategic Partnership:

• Prepare briefing docs ahead of key meetings so your leader walks in ready.
• Know your leader’s priorities well enough to say no on their behalf and reroute low-value asks.
• Anticipate what’s coming two weeks out and stage the work so your leader isn’t scrambling.
• Come with a solution, not just a problem. When you escalate, bring options and a recommendation.
• Drive cross-functional follow-through across teams, even ones you don’t own.
• Over-communicate. Your leader is never left wondering where something stands.

Toronto Office Support (~20%):

• Serve as the local point of contact for the Toronto office.
• Coordinate with building management and vendors for basic office needs.
• Support local events, team gatherings, and engagement activities.

AI and Automation:

"Default to AI" is a core value at Opendoor, and the Executive Operations team lives it. You don't need to be a developer, but you should already be an active user of tools like ChatGPT, Claude, or Gemini. We're looking for someone who is genuinely curious about new technology and is already experimenting with ways to use AI to work smarter. Over time, you'll partner with the team to automate routine tasks and expand into more strategic, high-impact work.

What You’ll Bring

• 2+ years in any role where you were the person making things run smoothly, whether that was operations, a startup, running your own business, or supporting a team.
• A partnership mindset. You view your leader as a primary stakeholder and take pride in driving their effectiveness and the broader team's impact.
• Experience in a fast-paced environment where you’re comfortable with ambiguity and shifting priorities.
• Strong execution. You can manage multiple priorities, stay organized, and care about getting the details right.
• Clear written and verbal communication. You can draft in someone else’s voice and know when to be brief vs. thorough.
• Proactive ownership. You don’t wait to be asked. You see the gap and close it.
• You’ve built or improved a system, process, or workflow because you saw something that needed fixing.
• Experience supporting a senior leader and understanding what it means to be a true partner.
• Familiarity with AI tools and a genuine curiosity about using them to work smarter.
• Judgment and discretion with sensitive information.
• Fluency with Google Workspace and modern collaboration tools (Slack, Notion, Ramp, or similar).

Why You’ll Love Working at Opendoor

• Work side-by-side with senior leaders and get real exposure to the business.
• Be on a team that treats Exec Ops as a strategic function, not back-office admin.
• Use and learn AI every day.
• Help shape the in-office experience for the growing Toronto team.
• Room to grow: as you automate the basics, your role expands into more complex leader coverage, team leadership, or adjacent operations roles.

Equal Opportunity

Opendoor is an Equal Opportunity Employer. We are committed to building a diverse and inclusive workplace and encourage all qualified candidates to apply.

#LI-LS
#LI-Onsite

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

About the role:

What you’ll do:

• Lead and develop a team of Operations Specialists across operational workflows
• Own team performance: set expectations, manage throughput, and ensure the team is meeting SLAs and transaction deadlines
• Design and iterate on workflows in partnership with operations leads, incorporating AI tooling to continuously improve efficiency and accuracy
• Serve as the primary escalation point for complex cases that require judgment beyond the specialist level
• Coordinate cross-functionally with acquisition, renovation, resale, and finance teams
• Partner with R&D and ops AI teams to identify automation opportunities, test new tools, and give feedback on what's working
• Build the culture of the team: hire people who want to work with AI, move fast, and improve the work every day
• Be the single accountable person for your function in Toronto

What you’ll bring:

• Hands-on comfort with AI tools and technology; you actively use AI in your own work and can coach a team to do the same
• Proven experience managing operations teams, in high-volume, deadline-driven environments
• Experience building or scaling operations teams; you know how to set culture and norms early
• Strong operational instincts: you can look at a workflow and quickly identify what's broken, what should be automated, and what needs a human
• Excellent communication and stakeholder management skills; you'll be the bridge between Toronto execution and US-based teams
• High accountability and bias toward action; you fix problems before they become someone else's escalation
• Comfortable in ambiguity; processes are still being built and you'll be a primary architect of how this team operates
• Opendoor is actively consolidating its internal tooling stack; comfort with new systems and change is essential

Compensation:

The compensation package offers a base salary plus Opendoor equity (RSUs). Pay 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.

About the Role

We are seeking an exceptional Senior Data Scientist to join our centralized Data organization. In this role, you will be embedded within our consumer and seller experience groups, working closely with cross-functional partners across product, engineering, design, and leadership. You will leverage data to generate deep insights that drive product strategy and create a world-class experience for our users. You'll work with terabytes of data to understand user behavior and directly impact customer satisfaction and business growth.

What You'll Do

• Develop and implement advanced analytics to drive product strategy and enhance the consumer and seller experience.
  
  
• Conduct deep-dive statistical analyses on large datasets to uncover user behavior insights and identify key business opportunities.
  
  
• Partner with product, engineering, and operations teams to identify opportunities to improve the user journey through data-driven insights.
  
  
• Design and execute A/B tests and other experiment types, like multi-armed bandit tests, to measure the impact of product changes and optimize the user experience.
  
  
• Build scalable data pipelines and reporting dashboards to deliver insights to stakeholders.
  
  
• Present findings and strategic recommendations to executive leadership.
  
  
• Contribute to the team and company knowledge base.
  
  

What You'll Need

• Advanced proficiency in SQL for complex data manipulation and analysis.
  
  
• Strong skills in Python for data analysis and visualization.
  
  
• Deep understanding of statistics, A/B testing, and experimental design.
  
  
• Excellent communication skills with the ability to present to executive leadership.
  
  
• Strong business intuition and the ability to translate technical findings into business recommendations.
  
  
• A self-motivated individual with a desire to solve complex, open-ended problems.
  
   
  
  

Education & Experience

Bachelor's degree or higher in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science.

8+ years of experience in data science, product analytics, or a similar quantitative role.

3+ years of experience in e-commerce, two-sided marketplaces, or consumer-facing products preferred.

What We Offer

• Executive-level visibility with a direct impact on core business metrics.
  
  
• Opportunity to work on high-impact analytics projects that shape product strategy.
  
  
• Hybrid work model: 4 days in office, 1 day remote flexibility.
  
  
• Collaborative culture with cross-functional team integration.
  
  
• A fast-paced, high-growth environment with significant learning opportunities
  
  

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

LI-RO

Data Scientist, Pricing

Location: In office 4 days a week; Ontario, Canada.

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

#LI-RO

#LI-KC1

Data Scientist, Pricing

Location: Hyrbrid 4 onsite, 1 remote Seattle WA. 

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

Base salary range for this role varies. Generally, the base salary range is $186,000 – $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).

#LI-RO

#

#LI-KC1

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Toronto

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

#LI-RO

Location

This is an in-person role that must be performed from the Toronto, Ontario office. Candidates must be able to be physically present in the office 4 days a week.

About the Role

We’re seeking an exceptional Senior Accountant to join our Accounting & Finance team. The ideal candidate brings a strong foundation in accounting, public company experience, and a forward-looking mindset around automation and AI-driven process improvement. You’ll be expected to apply sound judgment on accounting matters while identifying opportunities to modernize how the team operates.

What You Will Do

• Leverage AI tools and emerging technologies to streamline accounting workflows, enhance data analysis, and support scalable processes as the business grows
• Design, recommend, and implement automation initiatives (e.g., scripting, workflow tools, ERP enhancements) to reduce manual effort and improve close efficiency
• Prepare and review journal entries, and month-end close deliverables including balance sheet reconciliations, flux analyses, and bank reconciliations — ensuring completeness, accuracy, and well-documented support.
• Support the preparation of Opendoor’s consolidated financial statements and assist with external financial statement audits, including SOX and internal controls documentation, audit support, and controls testing
• Prepare monthly consolidation and elimination journal entries, including transactions involving multiple currencies and intercompany activities. 

What You Need

• Bachelor’s degree in Accounting or Finance
• Minimum 3+ years of progressive accounting experience in a fast paced environment
• Familiarity with automation and AI/ML tools (Chat GPT, Claude) and a willingness to explore how emerging technology can improve accounting processes
• Experience with SOX compliance and internal controls over financial reporting
• Proficiency in Microsoft Excel (advanced functions, pivot tables, lookups) and comfort working with large datasets
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities during close
• Excellent written, verbal, and interpersonal communication skills.
• Ability to meet deadlines, independently manage your time, and be self-motivated in a fast-paced environment

Bonus Points If You Have

• Licensed CPA or CPA candidate
• Real estate accounting experience or exposure to inventory-based business models
• NetSuite or other enterprise ERP experience (Oracle, SAP, Workday)
• Experience building or improving automated reconciliations or close management workflows
• Prior experience at a high-growth or publicly traded technology company, or a Big 4 accounting firm. 

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-RM

#LI-Onsite

Location

This role requires working from the downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office. 

About the Role

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

What You Will Bring

Technical Foundation

• At least 3+ years of experience building data systems in a finance, analytics, or data engineering role

• Track record of building and deploying AI agents or LLM-powered applications in production environments

• 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, BigQuery, or similar)

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 (LangChain, LlamaIndex, 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, NetSuite, etc.)

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-DM

#LI-Onsite

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD 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.

#LI-RO