Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets.Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.

opendoor

Compliance ManagerRequirements: 7+ years of mortgage compliance experience at a non-bank lender, mortgage company, or state/federal regulatory agency &nbsp; Expert-level knowledge of multi-state NMLS licensing for both entities and individuals, including license applications, amendments, renewals, and surety bond&nbsp; &nbsp; &nbsp;management; expert-level knowledge of multi-state licensing for both entities and individuals for title and escrow companies strongly preferred &nbsp; Hands-on experience preparing and submitting regulatory filings, including HMDA LAR, NMLS Mortgage Call Reports (MCR), and state-specific periodic reports &nbsp; Demonstrated ability to administer a Compliance Management System (CMS), including policy maintenance, training programs, and complaint management &nbsp; Track record of managing state and federal (CFPB) regulatory examinations from preparation through remediation &nbsp; Working knowledge of BSA/AML compliance program requirements, including SAR and CTR filing obligations; ability to serve as AML Compliance Officer if required &nbsp; Experience identifying, tracking, and implementing regulatory changes affecting mortgage origination operations &nbsp; Ability to resolve day-to-day loan-level compliance issues in a fast-paced, high-volume origination environment &nbsp; Bachelor’s degree in business, law, or related field required; CRCM, CAMS, or comparable professional designation strongly preferred 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.

Compliance Manager

&nbsp; 7+ years of mortgage compliance experience at a non-bank lender, mortgage company, or state/federal regulatory agency &nbsp; Expert-level knowledge of multi-state NMLS licensing for both entities and individuals, including license applications, amendments, renewals, and surety bond management; expert-level knowledge of multi-state licensing for both entities and individuals for title and escrow companies strongly preferred &nbsp; Hands-on experience preparing and submitting regulatory filings, including HMDA LAR, NMLS Mortgage Call Reports (MCR), and state-specific periodic reports &nbsp; Demonstrated ability to administer a Compliance Management System (CMS), including policy maintenance, training programs, and complaint management &nbsp; Track record of managing state and federal (CFPB) regulatory examinations from preparation through remediation &nbsp; Working knowledge of BSA/AML compliance program requirements, including SAR and CTR filing obligations; ability to serve as AML Compliance Officer if required &nbsp; Experience identifying, tracking, and implementing regulatory changes affecting mortgage origination operations &nbsp; Ability to resolve day-to-day loan-level compliance issues in a fast-paced, high-volume origination environment &nbsp; Bachelor’s degree in business, law, or related field required; CRCM, CAMS, or comparable professional designation strongly preferred 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.

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, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.) AI &amp; 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 &amp; 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 &amp; 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&nbsp; 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 &nbsp; 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.&nbsp; We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. #LI-DM &nbsp; &nbsp; 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. 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.

Agentic Analytics Engineer

About the Team The Executive Operations team is a centralized, cross-functional team that supports Opendoor's leadership and employees. We sit across two areas: Exec Ops Partners (also known as Executive Assistants) and Workplace Partners. We operate as a direct expression of Opendoor's values: Founder Mentality, Mission Over Ego, Default to AI, and Default to Open, every single day. Our job is simple to say and hard to do well:&nbsp;we create the conditions for great work. That means the physical environment is excellent, the experience is seamless, and employees and guests feel genuinely welcomed. We're operators at heart. We sweat the details, anticipate what's needed before it's asked for, and hold ourselves to a high bar on everything from a clean kitchen to a flawlessly run All-Hands. About the Role We're hiring a Workplace Specialist to own the day-to-day experience at our San Francisco office. This is a hands-on, in-office role — you'll be the face of the workplace, the engine behind our events, and the person employees count on when something needs to get done. You'll manage facilities, front desk, vendors, events, and everything in between. You'll be expected to move fast, catch things before they become problems, and bring genuine care to the people and space you support. This isn't a passive role. You'll own outcomes, build relationships, and be a visible, trusted presence in the office every day. It's a great fit for someone who is detail-oriented, hospitality-minded, and thrives in a physical, fast-moving environment. If you find satisfaction in a perfectly stocked kitchen, a smoothly run event, and a building that just&nbsp;works — this role is for you. What You'll Do Workplace Experience — Day-to-Day Operations Conduct thorough daily facilities checks to ensure the office consistently meets high standards for cleanliness, appearance, and functionality — across all common areas, conference rooms, kitchens, and restrooms. Serve as the front desk point of contact at our San Francisco office: greet employees and guests, manage visitor logistics, coordinate meeting details, and ensure the physical environment is conducive to a productive workday. Act as the primary point of contact for all workplace-related questions and concerns from employees, escalating or resolving with speed and care. Receive, sort, and distribute all incoming and outgoing mail and packages. Stock and maintain office supplies, amenities, and swag inventory — always ahead of what's needed, never behind. Events &amp; Hospitality Organize and execute physical event setups for internal events including All-Hands, offsites, engagement events, team-building activities, and ad hoc gatherings. Provide concierge-level service for meetings and events: coordinate logistics, room setup, catering, AV, and any details that make the experience exceptional. Assist with employee engagement for in-office employees — helping build culture through the physical experience of being at Opendoor. Vendor &amp; Facilities Management Oversee and manage office vendors, building security, and safety teams — setting expectations, monitoring performance, and escalating issues as needed. Supervise outside workplace contractors and ensure work is completed on time, on spec, and with minimal disruption to the workplace. Partner with building management on facilities issues, maintenance coordination, and compliance. Provide regular updates on site status and ongoing projects to management and key stakeholders. Employee Lifecycle &amp; Operations Support employee onboarding, internal moves, and offboarding — coordinating the physical logistics that make transitions smooth. Monitor Jira tickets to track and resolve workplace requests with a high standard of customer service and timely follow-through. Cross-collaborate with key stakeholders, both internal and external, to deliver the best possible workplace experience for employees and guests. Safety &amp; Emergency Response Act as a member of the emergency response team — assist with safety training, emergency preparedness, and real-time incident response. CPR certification is a plus. Maintain working knowledge of building safety procedures and serve as a reliable, calm resource when it counts. Additional Additional duties and responsibilities may be assigned on an as-needed basis through the course of normal business operations. &nbsp; How We Work — What to Expect You'll be joining a team that operates as a unit. A few things that define how we work: We over-communicate. Our employees and leaders are never left wondering where something stands. Silence is not a status update. We move as a unit. We brief each other, proxy for each other, and back each other up so no one feels a gap. We share information freely. What one person learns, the team learns. We trade context, patterns, and workflows because the whole team gets stronger when we do. We default to open. We assume good intent, ask the dumb question, and share early drafts. We treat each other as partners. We push back when something doesn't make sense, celebrate each other's wins, and never make a teammate's job harder than it has to be. What You'll Bring 1–3 years of experience in a workplace, facilities, office operations, or hospitality role. A hospitality mindset — you genuinely care about the experience of the people around you, and it shows. Strong organizational instincts and a high bar for attention to detail. You are a planner. You like systems and checklists, and you follow through. The ability to prioritize and execute quickly across multiple workstreams without dropping balls. Clear verbal and written communication — you can work with vendors, employees, and executives with equal ease. Comfort with ambiguity and shifting priorities. This is a dynamic office environment where the plan sometimes changes. Proactive ownership. You don't wait to be asked. You see what needs to be done and do it. Fluency with Google Workspace, Jira or similar ticketing tools, and modern collaboration tools (Slack or equivalent). CPR certification is a plus. Why You'll Love Working at Opendoor You'll be the heartbeat of a San Francisco office and have real, visible impact on the employee experience every day. You'll be on a team that takes Workplace seriously as a function — not an afterthought. You'll have room to grow: into more complex workplace operations, team leadership, or adjacent Executive Operations roles. You'll work alongside a team that supports each other, moves fast, and genuinely enjoys showing up. Compensation &amp; Benefits Base pay varies by location, skills, and experience. In addition to base pay, Opendoor offers a comprehensive benefits package, including health coverage, equity, paid time off, and more. 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. &nbsp;The base pay range for this position is $50,000-$90,000&nbsp;annually &nbsp; #LI-RO 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.

Workplace Specialist

About the role: Opendoor is building our Toronto Operations team and we're looking for Operations Specialists to own critical workflows that keep our homes moving through the transaction lifecycle. AI handles intake, data extraction, scheduling, and routine QC. Your job is to manage vendor relationships, exception resolution, complex negotiations, compliance coordination, and quality sign-off on work that matters. We're looking for someone more technical, who moves fast, figures out how to make AI work for them, and is able to be resourceful when solving problems. 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 Compensation: The compensation package offers a base 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. &nbsp; 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.

Operations Specialist

About the Role We’re looking for an Applied Scientist&nbsp;&nbsp;to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management.This role will contribute to our broader valuation and pricing ecosystem and we’re looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact.You’ll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.We’re a small, nimble team, so there’s ample opportunity to shape both the modeling direction and how these systems get used in production decision-making. 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 • Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling• Background in real estate, housing, finance, or adjacent marketplace domains• Familiarity with distributed data processing tools such as Pyspark• Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling• Experience working with large language models (LLMs) or vision-language models (VLMs) What You'll Do • Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk• Develop demand and conversion models using both pre-listing and post-listing signals• Design and improve optimization frameworks that balance objectives like margin, conversion, and risk• Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough• Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs• Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions• Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component Compensation Pay for this job 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. 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.

Applied Scientist

About the Role We’re looking for an Applied Scientist (Mid-Principal 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-$335,000 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. &nbsp; #LI-RO 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.

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, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.) AI &amp; 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 &amp; 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 &amp; 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&nbsp; 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 &nbsp; Compensation varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.&nbsp; We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. #LI-DM &nbsp; &nbsp; 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.

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, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.) AI &amp; 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 &amp; 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 &amp; 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&nbsp; 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 &nbsp; 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.&nbsp; We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. #LI-DM &nbsp; &nbsp; 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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