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

Why Now Seller growth is critical to Opendoor's success. Every seller who starts on our website represents helping a new homeowner achieve their goals and we know our funnel can be significantly improved. We're looking for a Growth PM to own the full seller journey from first click to request submission, optimizing our website, landing pages, and onboarding flows to drive measurable lift in acquisition and activation. This is a high-impact, high-visibility role where your experiments will directly move company-level metrics. The Role We're looking for a Growth Product Manager who will own seller growth end-to-end; from opportunity sizing through experimentation to shipped product. You'll partner closely with Growth Engineering, Data Science, Design, and Marketing to identify high-leverage improvements, run rigorous A/B tests, and scale what works, driving measurable improvements in seller acquisition and activation. This is a hands-on, technical role. You'll write SQL to size opportunities, analyze experiment results, and dig into funnel data. You won't wait for analysts to get back to you, you'll find the answers yourself and move fast. What You'll Do Funnel Optimization &amp; Experimentation Own the seller growth funnel from website visit through request submission; identify and prioritize the highest-leverage optimization opportunities. Design, launch, and analyze A/B tests across website, landing pages, and onboarding flows: driving measurable improvements in conversion rates. Build a rigorous experimentation roadmap; maintain velocity of experiments per sprint while ensuring statistical validity. Product &amp; Technical Ownership Partner with Growth Engineering to ship product improvements end-to-end from PRD through launch and iteration. Write SQL to size opportunities, analyze experiment results, and surface insights from funnel data. You're self-sufficient, you don't wait for data requests. Optimize critical growth surfaces: homepage, landing pages, offer request flows, and seller onboarding experiences. Cross-Functional Collaboration Partner with Marketing to ensure cohesion between paid acquisition channels and on-site experience. Work with Data Science to build measurement frameworks, define success metrics, and ensure experiment rigor. Collaborate with Design to create high-converting user experiences grounded in customer insight and data. We're You'll Need 4-8+ years of product management experience, with at least 2+ years focused on growth, acquisition, or conversion optimization. Technical proficiency: You're comfortable writing SQL to query data, size opportunities, and analyze experiment results independently. Proven track record of running A/B tests at scale and driving measurable improvements in funnel metrics. Experience with consumer-scale acquisition and activation: you've worked on funnels with meaningful volume. Strong analytical foundation: You understand statistical significance, experiment design, and opportunity sizing. Experience optimizing web experiences, landing pages, and onboarding flows. Bias for action: You ship fast, learn from results, and iterate. You don't let perfect be the enemy of good. AI fluency: You actively use AI tools like Claude Code, MCPs, Cursor, or similar to accelerate your work. You see AI as leverage for analysis, writing, and problem-solving, and you're always looking for ways to 10x your output. How You Work (What We Value) Speed and urgency: You move fast because the faster you go, the more you learn. Grit and ownership: You push through hard problems. You own outcomes end-to-end. Results over activity: You measure impact, not effort. You're focused on outcomes, not process theater. Data-driven decision making: You use data, judgment, and real-world feedback to decide.&nbsp; Self-starting and action-oriented: You don't wait for permission or perfect information. You see gaps and close them. You see opportunities and take them. Intellectual honesty: You seek truth over comfort.&nbsp; Comfort with ambiguity: You'll never have 100% of the information. You make decisions anyway, knowing most are reversible. Why Opendoor High-impact work: Your experiments will directly move company-level metrics. This isn't optimization at the margins it's growth that matters. Speed and autonomy: We value action over deliberation. You'll have the trust and support to move fast and make decisions. Merit-based culture: What matters here is contribution, not title. We celebrate impact, grit, creativity, and breakthroughs. World-class team: Work alongside exceptional peers in growth, engineering, and data science all united by a mission to make homeownership more accessible. Compensation The base pay range for this position is&nbsp;C$ 177,000.00 - C$ 243,100.00 &nbsp;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. 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.

Growth Product Manager, Seller

Software Engineer, Financial Systems Team: IT, Security, and Corporate EngineeringLocation: 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. &nbsp; We are eliminating the manual work that slows down operations.&nbsp; We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.&nbsp; 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 &amp; Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight Languages: Python, Go, SQL, TypeScript/Node.js Infrastructure: AWS, Terraform, Docker, GitHub Actions AI &amp; Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration &nbsp; 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 $159,000 - 219,000 CAD 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. &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.

Software Engineer, Financial Systems

About Opendoor Opendoor’s mission is to power life’s progress, one move at a time. We’re building a modern, digital experience for buying and selling homes, making it simple, certain, and fast for our customers. The Product Engineering organization builds the surfaces and systems that sellers and buyers interact with every day—from our home valuation flows and dashboards to new products that unlock more choice and flexibility for customers About the Role We’re looking for a Senior level or higher Frontend Engineer to join our Product Engineering org, working across the Seller and Growth teams. This is a frontend-focused role: you’ll own complex UI and application architecture, help evolve our shared UI library &amp; design system, and raise the bar for frontend quality and developer experience across our React and Next.js apps. Our Seller and Growth teams operate very much like a startup within Opendoor: we move quickly, bias toward action, and cut through unnecessary red tape to ship value to customers. In return, you’ll get meaningful breadth and ownership — the sky is effectively the limit for scope and impact if you’re excited to lean in, drive clarity, and push projects over the finish line. You’ll partner closely with design, product, and other engineers to: Ship seller- and growth-focused product features that move business and customer metrics. Evolve our component library and frontend tooling so teams can build high-quality experiences faster and more consistently. Improve the foundations of our React / TypeScript / GraphQL stack, including performance, accessibility, and reliability. This role is a great fit if you enjoy combining deep frontend engineering with product thinking and platform-minded design system work. What You’ll Do Build high-impact consumer features Design and implement end-to-end experiences in our React and Next.js applications (and other non-Next React apps) that power seller onboarding, offers, dashboards, and re-engagement flows. Work closely with PMs, designers, and data partners to scope, ship, and iterate on features that directly impact funnel conversion, engagement, and retention. Lead frontend architecture &amp; quality Own and evolve frontend architecture in critical surfaces: routing, data-fetching patterns, state management, error handling, and performance. Define patterns for SSR/SSG and hydration in our Next.js apps (and influence adoption of frameworks like Next.js / Remix where appropriate). Drive best practices for testing (unit, integration, and visual), type safety, and accessibility (a11y). Level up our UI library &amp; design system Contribute to and help steward our shared React component library (buttons, forms, layouts, navigation, data visualization, etc.) used across Seller, Growth, and other consumer surfaces. Partner with Design to keep the system cohesive and accessible, including tokens, theming, responsiveness, and interaction patterns. Improve the tooling &amp; workflows around the design system—e.g., Figma ↔ code integrations, Storybook-style documentation, automated snapshot/visual testing, and codegen/automation that reduce manual handoff and drift. Improve developer experience and productivity Identify friction in our frontend workflows (local dev, CI, smoke tests, visual regression tests, feature flags, experimentation hooks) and lead projects to streamline them. Contribute to internal documentation, examples, and starter patterns that make it easier for other engineers to build high-quality UI quickly and safely. Mentor and collaborate Provide technical mentorship and thoughtful code review for other engineers across Seller &amp; Growth. Partner with other leads in Product / Consumer Engineering to influence roadmap and make tradeoffs between foundational investments and product delivery. Our Stack You don’t need to know everything on day one, but these are the technologies you’ll work with most often: Frontend: React, TypeScript, Next.js, modern React patterns (hooks, suspense, etc.) APIs &amp; Data: GraphQL, RESTful services Tooling: Webpack/Vite tooling (or equivalents), Jest, React Testing Library, Cypress/Playwright or similar, Storybook-like component docs Design &amp; Collaboration: Figma, shared UI libraries / design systems, feature flagging and A/B testing platforms What We’re Looking For Required 8+ years of professional experience building modern web applications with React or a comparable framework. Strong proficiency in TypeScript and React, including component composition, hooks, and state management patterns. Hands-on experience working with GraphQL APIs (queries, mutations, caching patterns), or equivalent deep experience with well-structured REST APIs plus a willingness to ramp on GraphQL. Experience architecting complex frontend systems—e.g., routing, data-fetching strategies, error handling, performance optimization, and client-side state management. Demonstrated experience owning medium-to-large features end-to-end: from technical design and tradeoff discussions through implementation, rollout, and iteration. A product mindset: you care about impact, UX details, and making pragmatic tradeoffs rather than just shipping code. Strong communication and collaboration skills; comfort partnering with design, product, and other engineering teams. Nice to Have Experience with SSR/SSG frameworks like Next.js or Remix (routing, data-fetching, streaming, caching strategies). Experience contributing to or owning a design system / component library (tokens, theming, documentation, visual regression testing, API design for components). Familiarity with Figma-to-code workflows, design tooling APIs, or other ways of tightening the loop between design and implementation. Experience improving frontend build &amp; deploy pipelines, smoke tests, or CI for React/Next.js apps. Comfort reading and integrating with backend APIs and services (e.g., Go, Ruby, or similar server-side stacks), even if your core strength is frontend. Why Opendoor Impact at scale: Your work will touch a high-volume seller funnel and help define how people sell their homes with more confidence and control. Interesting technical problems: You’ll work on complex frontend architecture, design systems, performance, and experimentation in a business-critical domain. Strong peers: Join a group of thoughtful engineers, PMs, designers, and data partners who care deeply about quality, learning, and building great products together. Ownership and growth: Senior engineers at Opendoor are expected to lead meaningful projects, shape technical direction, and grow into broader scope over time. &nbsp; The base pay range for this position based on level is $186,000 - $294,000 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-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.

Software Engineer - Frontend - Sr. Level or Higher

Software Engineer ML Ops, Pricing (Senior) Seattle, WA About the Team &amp; Role The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business. Our services and data infrastructure are mission-critical to pricing decisions and automation, and they must be fast, accurate, and resilient—because even small improvements can drive major business impact. We’re looking for a senior-level Software Engineer to join our Pricing &amp; ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine. This role is ideal for an engineer who enjoys working close to data and models, has meaningful experience with ML workflows, and wants to shape technical direction as well as ship high-impact systems. Our models are pragmatic and straightforward—we prioritize value, reliability, and iteration speed over complex research systems. In this role, you’ll work side-by-side with backend software engineers, data scientists, ML engineers, product managers, and partner engineering and operations teams to turn prototypes and ideas into robust, scalable, and observable production systems. You’ll own high-impact initiatives end-to-end, mentor other engineers, and have significant influence over how our pricing platform evolves and how we shape the future of real estate. What You’ll Do Lead the design and implementation of services, tooling, and workflows that enable reliable training, deployment, and monitoring of pricing and ML models Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code and systems Own and operate model pipelines end-to-end — including data ingestion, training, validation, versioning, deployment, and monitoring Design and maintain workflows that support the full ML lifecycle: experimentation, training, evaluation, deployment, and iteration Develop and optimize data access patterns and SQL queries over large, complex datasets Implement robust automation for key ML lifecycle workflows (e.g., scheduled retraining, rollbacks, A/B tests, canary releases) Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines and model-serving environments Proactively address real-world challenges like data drift, model decay, and changing market conditions in the real estate domain Contribute to and help define shared ML infrastructure, patterns, and best practices across the Pricing &amp; ML team Lead code reviews and technical design discussions; mentor and support other engineers on ML-adjacent work Participate in and help improve on-call and incident response processes for ML systems What You’ll Need 8+ years of experience in software engineering or 6 Years with a Masters or ML engineering, including substantial work with ML-adjacent or production ML workflows Strong proficiency in Python, with a track record of writing maintainable, modular, and well-tested production code Solid experience working with SQL (queries, joins, indexing, and performance optimization) Proven experience owning and operating data pipelines and/or model training/serving pipelines in production or high-stakes environments Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration) Demonstrated ability to make and communicate technical design decisions and tradeoffs across multiple stakeholders Strong collaboration and communication skills, especially when working with data scientists, researchers, and cross-functional partners A bias toward impact, learning, and pragmatic solutions in a fast-moving, high-stakes domain Focus: &nbsp;- ML infrastructure and operations rather than model research. &nbsp;- Building, deploying, and maintaining ML pipelines and systems. &nbsp;- All roles are expected to be hands-on coding roles. &nbsp;- All MLOps roles are expected to be Seattle-based. Nice to Have Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces, risk) Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking, model registries) Experience with tools such as MLflow, Airflow, Spark, or Delta Lake Experience monitoring model performance in production (e.g., drift detection, quality alerts, dashboards) Experience with streaming / event-driven systems (e.g., Kafka) or scheduling/orchestration tools Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS) Interest in real estate or other messy, high-stakes domains with imperfect data The base pay range for this position is $205,000 - $281,000 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-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.

Software Engineer, MLOps - Pricing (L4)

Software Engineer ML Ops, Pricing (L5) Seattle, WA About the Team &amp; Role The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business. Our services and data infrastructure are mission-critical to pricing decisions and automation, and they must be fast, accurate, and resilient—because even small improvements can drive major business impact. We’re looking for a senior-level Software Engineer to join our Pricing &amp; ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine. This role is ideal for an engineer who enjoys working close to data and models, has meaningful experience with ML workflows, and wants to shape technical direction as well as ship high-impact systems. Our models are pragmatic and straightforward—we prioritize value, reliability, and iteration speed over complex research systems. In this role, you’ll work side-by-side with backend software engineers, data scientists, ML engineers, product managers, and partner engineering and operations teams to turn prototypes and ideas into robust, scalable, and observable production systems. You’ll own high-impact initiatives end-to-end, mentor other engineers, and have significant influence over how our pricing platform evolves and how we shape the future of real estate. What You’ll Do Lead the design and implementation of services, tooling, and workflows that enable reliable training, deployment, and monitoring of pricing and ML models Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code and systems Own and operate model pipelines end-to-end — including data ingestion, training, validation, versioning, deployment, and monitoring Design and maintain workflows that support the full ML lifecycle: experimentation, training, evaluation, deployment, and iteration Develop and optimize data access patterns and SQL queries over large, complex datasets Implement robust automation for key ML lifecycle workflows (e.g., scheduled retraining, rollbacks, A/B tests, canary releases) Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines and model-serving environments Proactively address real-world challenges like data drift, model decay, and changing market conditions in the real estate domain Contribute to and help define shared ML infrastructure, patterns, and best practices across the Pricing &amp; ML team Lead code reviews and technical design discussions; mentor and support other engineers on ML-adjacent work Participate in and help improve on-call and incident response processes for ML systems What You’ll Need 12+ years of experience in software engineering or ML engineering with a Bachelors, or 8 years with a Masters Degree, including substantial work with ML-adjacent or production ML workflows Strong proficiency in Python, with a track record of writing maintainable, modular, and well-tested production code Solid experience working with SQL (queries, joins, indexing, and performance optimization) Proven experience owning and operating data pipelines and/or model training/serving pipelines in production or high-stakes environments Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration) Demonstrated ability to make and communicate technical design decisions and tradeoffs across multiple stakeholders Strong collaboration and communication skills, especially when working with data scientists, researchers, and cross-functional partners A bias toward impact, learning, and pragmatic solutions in a fast-moving, high-stakes domain Focus: &nbsp;- ML infrastructure and operations rather than model research. &nbsp;- Building, deploying, and maintaining ML pipelines and systems. &nbsp;- All roles are expected to be hands-on coding roles. &nbsp;- All MLOps roles are expected to be Seattle-based. Nice to Have Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces, risk) Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking, model registries) Experience with tools such as MLflow, Airflow, Spark, or Delta Lake Experience monitoring model performance in production (e.g., drift detection, quality alerts, dashboards) Experience with streaming / event-driven systems (e.g., Kafka) or scheduling/orchestration tools Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS) Interest in real estate or other messy, high-stakes domains with imperfect data The base pay range for this position is $247,000 - $339,000 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-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.

Software Engineer, Pricing MLOps

Software Engineer, Security Engineering Team: IT, Security, and Corporate EngineeringLocation: Toronto, Ontario 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. Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't. What You'll Do Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow. Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely. Set new standards and security patterns for AI maximalist engineering and operations. Apply deep expertise in threat modeling and risk management to understand and enable complex business operations. Mentor engineers and colleagues in security, software engineering, and AI. Tech Stack Languages: Python, Go, Ruby, Terraform Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform) AI Tools: Claude, OpenAI, agent frameworks, workflow automation What You'll Need Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails. Business enablement security mindset - measuring security success by business impact, which means informed risk taking. 8+ years of software engineering experience with strong skills in Python, Go, or similar languages. Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management. Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI. Bonus Points For Incident response training and experience. M.S. in Computer Science or security-focused graduate work. Compensation The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, 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 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.

Software Engineer, Security Engineering

Software Engineer, Security Engineering Team: IT, Security, and Corporate EngineeringLocation: Seattle, Washington&nbsp; 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. Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't. What You'll Do Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow. Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely. Set new standards and security patterns for AI maximalist engineering and operations. Apply deep expertise in threat modeling and risk management to understand and enable complex business operations. Mentor engineers and colleagues in security, software engineering, and AI. Tech Stack Languages: Python, Go, Ruby, Terraform Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform) AI Tools: Claude, OpenAI, agent frameworks, workflow automation What You'll Need Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails. Business enablement security mindset - measuring security success by business impact, which means informed risk taking. 8+ years of software engineering experience with strong skills in Python, Go, or similar languages. Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management. Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI. Bonus Points For Incident response training and experience. M.S. in Computer Science or security-focused graduate work. Compensation The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, 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 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 Role Opendoor is seeking a ML Pricing Engineer to join our Engineering team in our Seattle, WA office and will play a critical role in our strategic transition to AI-powered pricing models. This high-impact, business-critical position will focus on building the scalable, production-grade platform and infrastructure necessary to support sophisticated ML models, particularly leveraging complex data sources like imagery and video. &nbsp; What You'll Do Platform Leadership: Lead the architecture, design, and implementation of the AI/ML feature platform, focusing on scalability, reliability, and high performance for core business systems (e.g., pricing, transaction platforms). Feature Engineering Infrastructure: Design and build large-scale data pipelines responsible for generating, indexing, and versioning AI-derived features (predictions, embeddings) from structured and unstructured data, with a specific emphasis on image and video data. AI Integration: Ensure seamless integration of ML capabilities into production, setting technical standards for real-time AI consumption and agentic optimization within pricing and customer-facing products. Cross-Functional Collaboration: Partner closely with Data Science, Product, and Operations teams to translate business needs into technical requirements, ensuring the platform delivers tangible business outcomes like reduced spreads and increased transaction volume. Mentorship &amp; Direction: Serve as a technical mentor and leader, setting the technical direction and best practices for the new AI/ML platform group. What You'll Need Extensive experience as a technical leader (Staff/Senior Staff level) in large-scale, production software and data environments. Proven track record of designing and implementing ML/Data Platforms or Feature Stores that directly support production AI/ML models. Deep expertise in distributed systems, cloud infrastructure, and large-scale data processing (e.g., vector search, data versioning). Strong background in data infrastructure and API design, particularly serving data for machine learning consumption. Experience in a domain where AI/ML is critical to the core business (e.g., pricing, optimization, recommendations). Highly Sought-After Skills Prior experience with computer vision pipelines or handling large-scale image/video data for ML. Familiarity with the technical challenges of managing compute and data versioning to optimize ML iteration cycles. Experience with agentic optimization frameworks. Compensation The base pay range for this position is $247,000.00 - $339,900.00 &nbsp;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. 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.

Software Engineer - ML Pricing

Software Engineer, Financial Systems Team: IT, Security, and Corporate EngineeringLocation: 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. &nbsp; We are eliminating the manual work that slows down operations.&nbsp; We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.&nbsp; 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 &amp; Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight Languages: Python, Go, SQL, TypeScript/Node.js Infrastructure: AWS, Terraform, Docker, GitHub Actions AI &amp; Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration &nbsp; 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. &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.

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