About the Role

Opendoor is looking for a Senior Counsel to join our Corporate Legal team. You'll own our public company reporting and securities compliance function, support board operations and corporate governance, and help us build an AI-first legal function. This is a high-impact, high-visibility role where you'll work closely with Finance, Accounting, and Investor Relations, and advise senior legal leadership on a broad range of securities and corporate matters.

This is a lean, high-ownership role where you'll be deep in live filings, board materials, and high-stakes transactions from day one. You'll have direct visibility with senior leadership and the opportunity to help shape our team — not just support it. If you’re a sharp, high-ownership attorney who loves tackling big, complex challenges and is pumped about using AI to reinvent how legal work gets done, we’d love to hear from you.

Location

This is an in-person role in the Downtown Toronto office. Candidates must be based within a 50-mile commuting distance of the office and able to be physically present in the office 4 days a week

What You'll Do

Own Public-Company Reporting and Securities Compliance:

• Please note this is a US public company reporting role. The successful candidate will work primarily within the US securities law framework, including SEC regulations and NASDAQ listing standards, regardless of office location.
• Advise senior legal team members on internal securities matters, including trading windows, 10b5-1 plans, and Section 16 compliance.
• Partner with Finance, Accounting, and Investor Relations to prepare SEC filings and draft and review earnings releases, press releases, and shareholder and investor communications for compliance with applicable securities laws.
• Monitor and advise on the potential impact of new and proposed securities laws and regulations, NASDAQ rule changes, proxy advisory firm voting policy changes (including ISS and other firms), institutional investor developments, and evolving best practices in corporate governance and ESG.
• Lead preparation and planning for the annual meeting of shareholders.

Execute Board Operations and Support Corporate Governance:

• Maintain and update corporate compliance documents and policies, including the Code of Business Conduct and Ethics, committee charters, insider trading policy, and other corporate policies.
• Advise on equity, executive compensation, and stock administration matters.
• Support corporate entity maintenance for all subsidiaries, including intercompany arrangements, as needed.

Support Strategic Transactions and Other Corporate Priorities:

• Provide advice and counsel on a range of general corporate and corporate governance matters.
• Support capital markets transactions including equity and debt offerings and structured finance transactions, including management of transaction documents and the diligence process.
• Take on new corporate projects as needed, including mergers and acquisitions, strategic partnerships, and corporate investments.

Help Build an AI-First Corporate Legal Function:

• Pilot and refine AI and automation enabled workflows in areas like disclosure drafting, governance monitoring, and board materials.
• Contribute to templates, playbooks, and self-service tools that make complex corporate and securities work more automated, approachable, and high quality.

What You'll Need

• Juris Doctor (JD) from an accredited law school with active Bar membership in good standing (or eligible to register as Registered In-House Counsel). California or New York Bar preferred.
• 5+ years of substantive experience with SEC reporting and securities laws, preferably spanning a top tier law firm and public company in-house work.
• Deep knowledge of corporate law, corporate governance standards, and trends.
• Familiarity with equity compensation plans and executive compensation.
• Strong interpersonal skills, team-oriented attitude, and superior attention to detail.
• Sound judgment with the ability to evaluate risk in light of business considerations and make clear, practical recommendations.
• Ability to work effectively and collaboratively within a growing legal team and cross-functionally at all levels of the organization.
• Curiosity and passion for using AI tools in your day-to-day work.
• Proactive, entrepreneurial approach to problem solving — you see an issue, you own it.
• Subsidiary corporate governance experience, including management of global subsidiaries and intercompany structures and agreements, is a plus.

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

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.

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 & 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 & 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 & 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 

• 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

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 & 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 & 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 & 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 

• 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

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 role requires working from our 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

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. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

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

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

Why Join Us

• Build AI automation for our Financial Operations from the ground up
• Work on cutting-edge systems directly impacting key Finance processes in a public company 
• Collaborate with talented engineers and finance team members
• Access to enterprise AI tools — Claude Code, Cursor, and LLM APIs. We invest heavily in AI infrastructure so you can build and experiment.

What You'll Do

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

What You'll Bring

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

Systems Thinking: You understand how data flows through operational systems. You can look at a business process, identify the inputs, outputs, dependencies, and failure modes, and design automation around it.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. 

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.

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 code, working with APIs, and stitching tools together to ship solutions fast.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job and ensure performance, scalability and resiliency.

Bonus if you have:

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.

Compensation

Our compensation plan consists of a base salary and Opendoor equity  in addition to 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

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 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: 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 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 & 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 & 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 & 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 & 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.

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 & 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.  The base pay range for this position is $50,000-$90,000 annually

#LI-RO

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 Opendoor

Opendoor’s mission is to power life’s progress, one move at a time. We’re transforming the traditional real estate experience with a simple, modern way to buy and sell homes. Our teams rely on reliable, friendly, and efficient technology to do their best work every day — that’s where IT Support comes in.

About the IT Support Team

The IT Support team provides first-class technical support and office technology services to all Opendoor employees and contractors. We:

• Support end-user devices (primarily Mac, with some Windows) and core productivity tools.
• Own day-to-day troubleshooting for hardware, software, and account access.
• Partner closely with Workplace, People, Finance, Security, and Engineering to keep our offices running smoothly.
• Deliver friendly, professional service and meet or exceed our internal SLAs and CSAT goals.

You’ll be one of the on-the-ground IT partners for our offices in both Tempe & Phoenix, AZ while also supporting remote teammates as needed.

Role Summary

As an IT Support Technician, you will be the go-to technical resource for local employees and visitors. You’ll handle everything from new hire setups and hardware troubleshooting to office A/V and network support in partnership with central IT teams. You’ll combine strong technical skills with excellent communication and a customer-first mindset.

What You’ll Do

End User Support

• Provide tier 1–2 support for laptops (Mac and Windows), mobile devices, and peripherals (monitors, docks, keyboards, headsets).
• Troubleshoot and resolve issues with core tools such as Okta, JAMF, Google Workspace, Slack, Microsoft 365, VPN, printers, and other business applications.
• Own ticket lifecycle in our ITSM tool (Linear or equivalent): triage, troubleshoot, escalate, and close within SLA.
• Deliver in-person “walk-up” support in the office and remote support via chat, email, and video.

Onboarding & Offboarding

• Prepare and provision devices for new hires (imaging, MDM enrollment, user profiles, application access).
• Support day-one setup: hardware handoff, account access verification, and basic tools walkthrough.
• Collect, wipe, and reassign or return devices for transfers, leaves, and terminations, following security and data-handling standards.

Office & A/V Support

• Set up and maintain conference room A/V (Zoom Rooms / Teams Rooms / Meet Rooms, cameras, microphones, TVs, room controllers).
• Support onsite events (all-hands, training, visitors) with reliable A/V and network experience.
• Coordinate with Workplace and Facilities on office moves, seating changes, and new space build-outs (e.g., drops, cabling, labeling).

Endpoint & Asset Management

• Enroll and manage devices via our MDM / RMM tools (e.g., Jamf, Intune, or similar).
• Ensure devices meet baseline standards for OS version, security agents, disk encryption, and configuration.
• Maintain accurate asset inventory for Toronto / Miami (laptops, monitors, mobile devices, peripherals).
• Assist with vendor RMA, depot repair workflows, and hardware lifecycle (deployments, refreshes, returns).

Security & Compliance

• Follow identity and access management best practices using Okta and internal tools.
• Support MFA resets, account lockouts, and basic access requests in line with IT and Security policies.
• Help enforce security standards on endpoints (disk encryption, screen lock, OS patching, secure device handling).

Collaboration & Continuous Improvement

• Partner with IT Engineering, Security, and Workplace on cross-functional initiatives impacting the offices.
• Document troubleshooting steps, how-tos, and FAQs for internal KB and self-service content.
• Identify recurring issues and propose improvements to tooling, automation, and processes.
• Contribute to on-call / coverage rotations as needed (within agreed schedules and time zones).

What You’ll Bring

Minimum Qualifications

• [5+] years of hands-on IT support experience in a corporate, startup, or managed services environment.
• Strong troubleshooting skills across:
• macOS and/or Windows endpoints
• Core SaaS tools (Google Workspace and/or Microsoft 365, Slack/Teams, Zoom)
• Networking basics (Wi-Fi troubleshooting, basic TCP/IP concepts, VPN).
• Experience with at least one MDM / RMM platform (e.g., Jamf, Intune, NinjaOne, or similar).
• Familiarity with identity & access management (Okta or comparable SSO/MFA solution).
• Excellent written and verbal communication skills; able to explain technical issues in simple, friendly language.
• Customer-obsessed mindset with a track record of high CSAT or similar service metrics.
• Ability to lift, move, and rack equipment as needed (typically up to ~40 lbs / 18 kg with reasonable accommodation).

Preferred Qualifications

• Experience supporting hybrid offices across multiple locations and time zones.
• Prior work in a fast-growing tech company or high-volume IT support environment.
• Experience with:
• ITSM tools (NinjaOne, JAFM, AMB, Jira Service Management, etc.).
• A/V platforms (Zoom Rooms, Teams Rooms, Logitech / Poly / similar hardware).
• Comfort working with distributed teams and documenting work in shared systems (Confluence, Google Docs, etc.).
• Experience supporting mixed office / field or operations-heavy teams is a plus.

Work Location & Time Zone

• This role is based in [Tempe / Phoenix, AZ office].
• Expect [to be onsite] to support hardware, A/V, and in-person requests.
• Some flexibility may be required to support cross-time-zone collaboration and occasional events.

Pay

• Compensation: [$40-45/hr]

#LI-RO

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

Opendoor is looking for a Senior Counsel to join our Corporate Legal team. You'll own our public company reporting and securities compliance function, support board operations and corporate governance, and help us build an AI-first legal function. This is a high-impact, high-visibility role where you'll work closely with Finance, Accounting, and Investor Relations, and advise senior legal leadership on a broad range of securities and corporate matters.

This is a lean, high-ownership role where you'll be deep in live filings, board materials, and high-stakes transactions from day one. You'll have direct visibility with senior leadership and the opportunity to help shape our team — not just support it. If you’re a sharp, high-ownership attorney who loves tackling big, complex challenges and is pumped about using AI to reinvent how legal work gets done, we’d love to hear from you.

Location

This is an in-person role in the San Francisco, CA office. Candidates must be based within a 50-mile commuting distance of the office and able to be physically present in the office 4 days a week

What You'll Do

Own Public-Company Reporting and Securities Compliance:

• Advise senior legal team members on internal securities matters, including trading windows, 10b5-1 plans, and Section 16 compliance.
• Partner with Finance, Accounting, and Investor Relations to prepare SEC filings and draft and review earnings releases, press releases, and shareholder and investor communications for compliance with applicable securities laws.
• Monitor and advise on the potential impact of new and proposed securities laws and regulations, NASDAQ rule changes, proxy advisory firm voting policy changes (including ISS and other firms), institutional investor developments, and evolving best practices in corporate governance and ESG.
• Lead preparation and planning for the annual meeting of shareholders.

Execute Board Operations and Support Corporate Governance:

• Maintain and update corporate compliance documents and policies, including the Code of Business Conduct and Ethics, committee charters, insider trading policy, and other corporate policies.
• Advise on equity, executive compensation, and stock administration matters.
• Support corporate entity maintenance for all subsidiaries, including intercompany arrangements, as needed.

Support Strategic Transactions and Other Corporate Priorities:

• Provide advice and counsel on a range of general corporate and corporate governance matters.
• Support capital markets transactions including equity and debt offerings and structured finance transactions, including management of transaction documents and the diligence process.
• Take on new corporate projects as needed, including mergers and acquisitions, strategic partnerships, and corporate investments.

Help Build an AI-First Corporate Legal Function:

• Pilot and refine AI and automation enabled workflows in areas like disclosure drafting, governance monitoring, and board materials.
• Contribute to templates, playbooks, and self-service tools that make complex corporate and securities work more automated, approachable, and high quality.

What You'll Need

• Juris Doctor (JD) from an accredited law school with active Bar membership in good standing (or eligible to register as Registered In-House Counsel). California Bar preferred.
• 5+ years of substantive experience with SEC reporting and securities laws, preferably spanning a top tier law firm and public company in-house work.
• Deep knowledge of corporate law, corporate governance standards, and trends.
• Familiarity with equity compensation plans and executive compensation.
• Strong interpersonal skills, team-oriented attitude, and superior attention to detail.
• Sound judgment with the ability to evaluate risk in light of business considerations and make clear, practical recommendations.
• Ability to work effectively and collaboratively within a growing legal team and cross-functionally at all levels of the organization.
• Curiosity and passion for using AI tools in your day-to-day work.
• Proactive, entrepreneurial approach to problem solving — you see an issue, you own it.
• Subsidiary corporate governance experience, including management of global subsidiaries and intercompany structures and agreements, is a plus.

Compensation

The base pay range for this position is $163,000.00 - $204,000.00 annually, plus RSUs and performance-based equity refreshers. 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.

Location

This is an in-person role in the Phoenix, AZ office. Candidates must be based within a 50-mile commuting distance of the office and able to be physically present in the office 4 days a week.

About the Role

As a Pricing Analyst, you will play an integral role in Opendoor's acquisition process, responsible for providing accurate valuations and risk assessments for Single Family Residential properties. Your expertise will contribute to fair, accurate, and competitive pricing of Opendoor homes. This is a fast-paced, technology-driven role where your ability to adapt, learn quickly, and make sound pricing judgments will be the key to your success.

What You Will Do

• Assess individual homes for pricing decisions and risk evaluation, leveraging in-house tools and model outputs from the Pricing Technology teams to efficiently and accurately value homes. Your expert validation and valuations will play a key role in the acquisition pricing process.
• Gain in-depth knowledge of local market nuances to make informed pricing decisions and ensure homes are accurately and competitively priced.
• Engage with various teams, including sales and homes teams, to ensure fair and accurate pricing of properties.
• Participate in projects focused on enhancing pricing operations. Collaborate with data science and engineering teams to improve pricing models and tools.
• Work as a cohesive unit with local management and the pricing team to deliver consistent, high-quality valuations.

What You Will Need

• A strong analytical or quantitative background, with experience in a valuation, real estate, or data-driven role.
• Detail-oriented with strong analytical skills to assess property valuations accurately.
• Ability to adapt quickly to technology-driven workflows and proprietary tools.
• Experience collaborating with stakeholders to ensure effective communication and alignment.
• Ability to articulate pricing insights and recommendations clearly.
• Excellent written, verbal, and interpersonal communication skills.
• Curiosity and openness to adopting AI tools as part of your day-to-day workflow.

Bonus Points if You Have

• Experience in residential real estate, property valuation, or appraisal.
• A background in data analytics, financial modeling, or a quantitative discipline.
• Prior experience at a PropTech, iBuyer, or technology-driven real estate company.
• Strong technical skills in Excel or SQL.

Compensation

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. base pay range for this position in Phoenix, Arizona is $75,000 - $94,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. This position is also eligible for future equity refreshers. Your recruiter can share more about the specific salary range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.

Job Summary:**

The Accounts Payable Specialist at Opendoor Labs Inc. will be responsible for accurately and efficiently processing invoices, managing vendor relationships, and ensuring timely payments in a fast-paced environment. This role is crucial to maintaining the financial health of the organization and supporting our rapid growth.

Responsibilities:**

* Process a high volume of invoices, ensuring accuracy, proper coding, and adherence to company policies.
* Match purchase orders to invoices and resolve discrepancies with vendors and internal teams.
* Prepare and process electronic payments and check runs.
* Reconcile vendor statements and investigate and resolve any discrepancies.
* Maintain accurate vendor records and communicate effectively with vendors regarding payment status and inquiries.
* Assist with month-end and year-end closing activities related to accounts payable.
* Support internal and external audits by providing necessary documentation and information.
* Identify and implement process improvements to enhance efficiency and accuracy within the AP function.
* Collaborate with various departments, including purchasing and finance, to ensure smooth AP operations.
* Adhere to all company financial policies, procedures, and internal controls.

Qualifications:**

* 5+ years of experience in an Accounts Payable role, preferably in a high-volume environment.
* Strong understanding of accounting principles and accounts payable processes.
* Proficiency in accounting software (e.g., NetSuite, SAP, Oracle) and Microsoft Excel.
* Excellent attention to detail and accuracy.
* Strong organizational and time management skills with the ability to prioritize tasks effectively.
* Excellent written and verbal communication skills.
* Ability to work independently and as part of a team in a dynamic, fast-paced setting.
* Associate's or Bachelor's degree in Accounting, Finance, or a related field preferred.
* Experience with AI automated AP systems is a plus.

Job Summary:**

The Accounts Payable Specialist at Opendoor Labs Inc. will be responsible for accurately and efficiently processing invoices, managing vendor relationships, and ensuring timely payments in a fast-paced environment. This role is crucial to maintaining the financial health of the organization and supporting our rapid growth.

Responsibilities:**

* Process a high volume of invoices, ensuring accuracy, proper coding, and adherence to company policies.
* Match purchase orders to invoices and resolve discrepancies with vendors and internal teams.
* Prepare and process electronic payments and check runs.
* Reconcile vendor statements and investigate and resolve any discrepancies.
* Maintain accurate vendor records and communicate effectively with vendors regarding payment status and inquiries.
* Assist with month-end and year-end closing activities related to accounts payable.
* Support internal and external audits by providing necessary documentation and information.
* Identify and implement process improvements to enhance efficiency and accuracy within the AP function.
* Collaborate with various departments, including purchasing and finance, to ensure smooth AP operations.
* Adhere to all company financial policies, procedures, and internal controls.

Qualifications:**

* 5+ years of experience in an Accounts Payable role, preferably in a high-volume environment.
* Strong understanding of accounting principles and accounts payable processes.
* Proficiency in accounting software (e.g., NetSuite, SAP, Oracle) and Microsoft Excel.
* Excellent attention to detail and accuracy.
* Strong organizational and time management skills with the ability to prioritize tasks effectively.
* Excellent written and verbal communication skills.
* Ability to work independently and as part of a team in a dynamic, fast-paced setting.
* Associate's or Bachelor's degree in Accounting, Finance, or a related field preferred.
* Experience with AI automated AP systems is a plus.

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: 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

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

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

Opendoor’s mission is to tilt the world in favor of homeowners and those working hard to become homeowners, by making homeownership simpler, faster, and fairer for everyone. Since 2014, Opendoor has provided people across the U.S. with a simple and certain way to buy and sell a home. We believe buying or selling a home should be simple, certain, and transparent — and we’re rebuilding the experience from the ground up. Our brand and product are two sides of the same promise: giving people confidence and control in one of life’s biggest moments.

The Role

Opendoor is seeking a strategic, data-driven Product Marketing professional to own go-to-market strategy, positioning, and competitive intelligence for our real estate technology products and consumer experiences. You’ll be the source of truth for all PMM assets, partnering closely with Product, Brand, Sales and Customer Success to drive revenue, adoption, and market leadership. You’ll lead an AI-assisted approach to market and competitive insights, translating them into actionable messaging, enablement, and launch plans that align with Opendoor’s mission: power life’s progress, one move at a time.

What you’ll do

• Go-To-Market Strategy and Execution

  • Own end-to-end GTM planning for new products and major releases (e.g., app improvements, mortgage/financing features, valuation tools, title/escrow enhancements), including objectives, ICPs, positioning, pricing/packaging, launch sequencing, channels, and success metrics.

  • Develop scalable launch playbooks, asset requirements, timelines, risk management, and post-launch optimization.

  • Ensure GTM plans are aligned with Opendoor’s objectives and coordinated across Product, Growth, Sales, and CS.

• Positioning, Messaging, and Value Propositions

  • Define differentiated positioning and compelling messaging that resonates with homeowners, buyers, sellers, and investors, delivering clear business outcomes.

  • Create core content (value propositions, messaging frameworks, one-pagers, battle cards) and enablement assets for sales, partners, and the broader go-to-market ecosystem.

  • Maintain a consistent brand voice and market-facing narratives across channels and regions.

• Competitive Intelligence (AI-Assisted)

  • Build and lead an AI-assisted competitive intelligence program that continuously monitors proptech and consumer marketplace landscapes.

  • Deliver regular analyses, feature comparisons, pricing benchmarks, and market signals; translate into actionable guidance for Product, Sales, and Marketing.

  • Create and maintain battle cards, win/loss analyses, and intelligence briefings; validate AI-driven insights with human judgment.

• Product Marketing as Source of Truth

  • Maintain the single source of truth for PMM assets: positioning matrices, personas, messaging frameworks, playbooks, and enablement content.

  • Govern PMM assets with version control, clear ownership, and up-to-date documentation in wikis, dashboards, and content repositories.

  • Establish PMM standards and processes to ensure scalable, repeatable execution at Opendoor’s scale.

• Cross-Functional Collaboration

  • Partner with Product Management to translate roadmaps and customer needs into compelling market offerings.

  • Collaborate with Sales to drive pipeline: enablement training, tools, and assets to improve win rates and shorten sales cycles.

  • Work with Growth and Demand Gen to map campaigns to GTM plans, measure impact, and optimize funnel performance.

  • Coordinate with Analytics to define and track success metrics (pipeline influence, win rate, time-to-revenue, feature adoption).

• Enablement, Messaging, and Content

  • Develop ongoing enablement programs, training sessions, and updates to keep front-line teams informed and effective.

  • Produce and curate content assets (launch briefs, case studies, white papers, product briefs, FAQs) aligned to buyer journeys.

• Market Insights and Voice of the Customer

  • Lead market research to identify trends, unmet needs, and growth opportunities in the real estate tech and consumer marketplace space.

  • Capture customer insights and success stories to refine positioning and messaging; feed insights into product prioritization and roadmap where appropriate.

• Budget, Leadership, and Process Improvement

  • Own the PMM budget; manage vendors, contractors, and internal resources.

  • Mentor and develop PMM team members; drive process improvements to shorten cycles and increase impact.

What success looks like

• Clear, differentiated GTM plans that drive revenue and align with product roadmaps.

• Consistent, compelling messaging and collateral that improve win rates and accelerate time-to-revenue.

• A credible, AI-augmented competitive intelligence program that informs product and marketing decisions.

• A trusted source of truth for all PMM assets, with measurable improvements in pipeline influence, win rate, and product adoption.

• Scalable playbooks and enablement that enable fast, cross-functional execution as Opendoor grows.

Qualifications

• 8+ years of product marketing or related experience in B2B technology, SaaS, or relevant real estate tech domains; people leadership experience preferred.

• Proven track record launching successful GTM programs and driving revenue growth through strong positioning and cross-functional collaboration.

• Demonstrated ability to build and maintain a robust competitive intelligence program, including AI-assisted research methods and tools.

• Exceptional written and verbal communication; ability to translate complex product features into clear customer value propositions.

• Strong cross-functional influencing skills; comfortable operating in a fast-paced, ambiguous environment.

• Data-driven mindset; experience with CRM/Marketing Automation (e.g., Salesforce, HubSpot), analytics (Looker, Tableau), and AI-enabled research tools.

• Experience creating scalable playbooks, enablement content, and governance around PMM assets.

• Preferred: experience in consumer marketplaces, proptech, or real estate tech with complex product ecosystems.

• Experience with AI-enabled content generation and governance/compliance considerations.

• Familiarity with multi-region go-to-market programs across verticals.

• Knowledge of pricing strategy and packaging in consumer-facing or enterprise contexts.

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

Opendoor’s mission is to tilt the world in favor of homeowners and those working hard to become homeowners, by making homeownership simpler, faster, and fairer for everyone. Since 2014, Opendoor has provided people across the U.S. with a simple and certain way to buy and sell a home. We believe buying or selling a home should be simple, certain, and transparent — and we’re rebuilding the experience from the ground up. Our brand and product are two sides of the same promise: giving people confidence and control in one of life’s biggest moments.

The Role

Opendoor is seeking a strategic, data-driven Product Marketing professional to own go-to-market strategy, positioning, and competitive intelligence for our real estate technology products and consumer experiences. You’ll be the source of truth for all PMM assets, partnering closely with Product, Brand, Sales and Customer Success to drive revenue, adoption, and market leadership. You’ll lead an AI-assisted approach to market and competitive insights, translating them into actionable messaging, enablement, and launch plans that align with Opendoor’s mission: power life’s progress, one move at a time.

What you’ll do

• Go-To-Market Strategy and Execution

  • Own end-to-end GTM planning for new products and major releases (e.g., app improvements, mortgage/financing features, valuation tools, title/escrow enhancements), including objectives, ICPs, positioning, pricing/packaging, launch sequencing, channels, and success metrics.

  • Develop scalable launch playbooks, asset requirements, timelines, risk management, and post-launch optimization.

  • Ensure GTM plans are aligned with Opendoor’s objectives and coordinated across Product, Growth, Sales, and CS.

• Positioning, Messaging, and Value Propositions

  • Define differentiated positioning and compelling messaging that resonates with homeowners, buyers, sellers, and investors, delivering clear business outcomes.

  • Create core content (value propositions, messaging frameworks, one-pagers, battle cards) and enablement assets for sales, partners, and the broader go-to-market ecosystem.

  • Maintain a consistent brand voice and market-facing narratives across channels and regions.

• Competitive Intelligence (AI-Assisted)

  • Build and lead an AI-assisted competitive intelligence program that continuously monitors proptech and consumer marketplace landscapes.

  • Deliver regular analyses, feature comparisons, pricing benchmarks, and market signals; translate into actionable guidance for Product, Sales, and Marketing.

  • Create and maintain battle cards, win/loss analyses, and intelligence briefings; validate AI-driven insights with human judgment.

• Product Marketing as Source of Truth

  • Maintain the single source of truth for PMM assets: positioning matrices, personas, messaging frameworks, playbooks, and enablement content.

  • Govern PMM assets with version control, clear ownership, and up-to-date documentation in wikis, dashboards, and content repositories.

  • Establish PMM standards and processes to ensure scalable, repeatable execution at Opendoor’s scale.

• Cross-Functional Collaboration

  • Partner with Product Management to translate roadmaps and customer needs into compelling market offerings.

  • Collaborate with Sales to drive pipeline: enablement training, tools, and assets to improve win rates and shorten sales cycles.

  • Work with Growth and Demand Gen to map campaigns to GTM plans, measure impact, and optimize funnel performance.

  • Coordinate with Analytics to define and track success metrics (pipeline influence, win rate, time-to-revenue, feature adoption).

• Enablement, Messaging, and Content

  • Develop ongoing enablement programs, training sessions, and updates to keep front-line teams informed and effective.

  • Produce and curate content assets (launch briefs, case studies, white papers, product briefs, FAQs) aligned to buyer journeys.

• Market Insights and Voice of the Customer

  • Lead market research to identify trends, unmet needs, and growth opportunities in the real estate tech and consumer marketplace space.

  • Capture customer insights and success stories to refine positioning and messaging; feed insights into product prioritization and roadmap where appropriate.

• Budget, Leadership, and Process Improvement

  • Own the PMM budget; manage vendors, contractors, and internal resources.

  • Mentor and develop PMM team members; drive process improvements to shorten cycles and increase impact.

What success looks like

• Clear, differentiated GTM plans that drive revenue and align with product roadmaps.

• Consistent, compelling messaging and collateral that improve win rates and accelerate time-to-revenue.

• A credible, AI-augmented competitive intelligence program that informs product and marketing decisions.

• A trusted source of truth for all PMM assets, with measurable improvements in pipeline influence, win rate, and product adoption.

• Scalable playbooks and enablement that enable fast, cross-functional execution as Opendoor grows.

Qualifications

• 8+ years of product marketing or related experience in B2B technology, SaaS, or relevant real estate tech domains; people leadership experience preferred.

• Proven track record launching successful GTM programs and driving revenue growth through strong positioning and cross-functional collaboration.

• Demonstrated ability to build and maintain a robust competitive intelligence program, including AI-assisted research methods and tools.

• Exceptional written and verbal communication; ability to translate complex product features into clear customer value propositions.

• Strong cross-functional influencing skills; comfortable operating in a fast-paced, ambiguous environment.

• Data-driven mindset; experience with CRM/Marketing Automation (e.g., Salesforce, HubSpot), analytics (Looker, Tableau), and AI-enabled research tools.

• Experience creating scalable playbooks, enablement content, and governance around PMM assets.

• Preferred: experience in consumer marketplaces, proptech, or real estate tech with complex product ecosystems.

• Experience with AI-enabled content generation and governance/compliance considerations.

• Familiarity with multi-region go-to-market programs across verticals.

• Knowledge of pricing strategy and packaging in consumer-facing or enterprise contexts.

Senior Manager, Partner Growth Marketing

Location: Miami 

Reports to: VP Acquisition & Lifecycle Marketing

About the Role

Opendoor growth depends on reaching sellers - and not all of them find us directly. Many come through agent referrals. Homebuilders introduce Opendoor to customers trading up. Real estate platforms put our offer in front of homeowners who might not find us otherwise. Strategic partners touch sellers at exactly the right moment.

This role owns the demand gen programs across all of it — campaign execution, performance optimization, and channel growth for partner-based initiatives. You run the programs that make each channel produce, end to end. You'll work closely with Opendoor's partnerships, acquisition, lifecycle marketing, and product teams to coordinate across channels and ensure partner-driven channels are a meaningful contributor to Opendoor’s business.

Core Responsibilities

1. Agent Acquisition

• Own strategy, messaging, and audience targeting for agent acquisition programs — identifying high-value agent cohorts and brokerages, and building programs that bring new agents into the Opendoor ecosystem across paid social, direct mail, and email.

• Work closely with the partnerships and account management teams to align marketing programs with agent recruitment and relationship priorities.

• Support Opendoor's presence at major real estate industry events through marketing programs that drive agent awareness and engagement.

• Measure agent-attributed acquisition volume and CAC, and optimize toward efficiency as the channel matures.

2. Agent Performance & Engagement

• Track agent channel performance daily — monitor which partners and cohorts are up or down, diagnose what's driving changes, and drive programs to move the needle.

• Design and run agent incentive and promotion programs that keep top partners engaged and reinvigorate underperforming ones.

• Engage with agent partners directly to gather feedback, surface what's working on the ground, and translate that into program improvements — partnering with account teams who own the broader relationship.

• Coordinate with the partnerships team to request training, on-site activations, and other support that keeps agent partners informed and activated.

3. Partner & Platform Programs

• Own co-branded acquisition campaigns with online real estate partners and homebuilders — optimizing messaging, targeting, and placement to drive conversion from partner traffic, including campaigns targeting builder sales reps and their trade-up customers.

• Build acquisition programs through seller-adjacent partnerships — companies that reach sellers at key life moments — and activate marketing programs as the partnerships team brings new partners online.

• Work closely with product and partnerships to ensure embedded SDK integrations are backed by marketing support that drives contracts, not just placements.

• Measure partner-attributed CAC across all programs and optimize toward efficiency.

4. GTM & Channel Enablement

• Own the promotional calendar across partner channels — co-branded emails, seasonal campaigns, product launches, and joint retargeting programs that keep Opendoor top of mind.

• Build and maintain partner-facing marketing materials: messaging guides, campaign toolkits, and content that helps partners promote Opendoor effectively.

• Work closely with partnerships, account management, lifecycle, and acquisition teams on partner-specific audience strategies — shared audiences, joint retargeting pools, and sequenced nurture programs.

• Identify what's working in one channel, apply it across others, and continuously optimize the mix toward partner-attributed contracts.

Who You Are

Experience:

• 5–7+ years in demand generation or growth marketing, with experience running programs across multiple channels simultaneously

• B2B2C background — you've marketed to professionals (agents, brokers, reps) who influence or refer consumer decisions, not just end consumers directly

• Proven track record measuring CAC and optimizing channel mix across paid, email, direct mail, and partner programs

• Comfortable launching net-new programs with limited playbook — you've built channel programs from scratch, not just optimized existing ones

Technical Skills:

• Comfortable building and running campaigns directly across paid social (Meta, LinkedIn), email, and direct mail — and equally comfortable briefing and partnering with channel teams when that's the right move

• Understands both acquisition and lifecycle marketing well enough to drive programs across both

• Proficient in SQL or comfortable enough with data to pull your own performance analysis

• AI-native: you use AI tools daily to move faster — campaign analysis, copy generation, audience research, workflow automation

Mindset:

• Multi-channel thinker: you don't default to digital — you find the channel that reaches the audience, not the audience that fits your channel

• CAC-obsessed: every program has a cost and a return, and you track both

• Executor: you own programs end to end — building and running campaigns directly when it makes sense, and partnering with channel teams when that's the right move

• Comfortable engaging partners directly — you can have a productive conversation with a partner to gather feedback and drive programs, while knowing when to loop in the account team on relationship and operational questions

Bonus Points

• Experience in real estate, proptech, fintech, or other high-consideration consumer verticals

• Affiliate or referral program management experience

• Familiarity with Opendoor's partner ecosystem (agents, ORE platforms, homebuilders)

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.

Senior Manager, Partner Growth Marketing

Location: Phoenix

Reports to: VP Acquisition & Lifecycle Marketing

About the Role

Opendoor growth depends on reaching sellers - and not all of them find us directly. Many come through agent referrals. Homebuilders introduce Opendoor to customers trading up. Real estate platforms put our offer in front of homeowners who might not find us otherwise. Strategic partners touch sellers at exactly the right moment.

This role owns the demand gen programs across all of it — campaign execution, performance optimization, and channel growth for partner-based initiatives. You run the programs that make each channel produce, end to end. You'll work closely with Opendoor's partnerships, acquisition, lifecycle marketing, and product teams to coordinate across channels and ensure partner-driven channels are a meaningful contributor to Opendoor’s business.

Core Responsibilities

1. Agent Acquisition

• Own strategy, messaging, and audience targeting for agent acquisition programs — identifying high-value agent cohorts and brokerages, and building programs that bring new agents into the Opendoor ecosystem across paid social, direct mail, and email.

• Work closely with the partnerships and account management teams to align marketing programs with agent recruitment and relationship priorities.

• Support Opendoor's presence at major real estate industry events through marketing programs that drive agent awareness and engagement.

• Measure agent-attributed acquisition volume and CAC, and optimize toward efficiency as the channel matures.

2. Agent Performance & Engagement

• Track agent channel performance daily — monitor which partners and cohorts are up or down, diagnose what's driving changes, and drive programs to move the needle.

• Design and run agent incentive and promotion programs that keep top partners engaged and reinvigorate underperforming ones.

• Engage with agent partners directly to gather feedback, surface what's working on the ground, and translate that into program improvements — partnering with account teams who own the broader relationship.

• Coordinate with the partnerships team to request training, on-site activations, and other support that keeps agent partners informed and activated.

3. Partner & Platform Programs

• Own co-branded acquisition campaigns with online real estate partners and homebuilders — optimizing messaging, targeting, and placement to drive conversion from partner traffic, including campaigns targeting builder sales reps and their trade-up customers.

• Build acquisition programs through seller-adjacent partnerships — companies that reach sellers at key life moments — and activate marketing programs as the partnerships team brings new partners online.

• Work closely with product and partnerships to ensure embedded SDK integrations are backed by marketing support that drives contracts, not just placements.

• Measure partner-attributed CAC across all programs and optimize toward efficiency.

4. GTM & Channel Enablement

• Own the promotional calendar across partner channels — co-branded emails, seasonal campaigns, product launches, and joint retargeting programs that keep Opendoor top of mind.

• Build and maintain partner-facing marketing materials: messaging guides, campaign toolkits, and content that helps partners promote Opendoor effectively.

• Work closely with partnerships, account management, lifecycle, and acquisition teams on partner-specific audience strategies — shared audiences, joint retargeting pools, and sequenced nurture programs.

• Identify what's working in one channel, apply it across others, and continuously optimize the mix toward partner-attributed contracts.

Who You Are

Experience:

• 5–7+ years in demand generation or growth marketing, with experience running programs across multiple channels simultaneously

• B2B2C background — you've marketed to professionals (agents, brokers, reps) who influence or refer consumer decisions, not just end consumers directly

• Proven track record measuring CAC and optimizing channel mix across paid, email, direct mail, and partner programs

• Comfortable launching net-new programs with limited playbook — you've built channel programs from scratch, not just optimized existing ones

Technical Skills:

• Comfortable building and running campaigns directly across paid social (Meta, LinkedIn), email, and direct mail — and equally comfortable briefing and partnering with channel teams when that's the right move

• Understands both acquisition and lifecycle marketing well enough to drive programs across both

• Proficient in SQL or comfortable enough with data to pull your own performance analysis

• AI-native: you use AI tools daily to move faster — campaign analysis, copy generation, audience research, workflow automation

Mindset:

• Multi-channel thinker: you don't default to digital — you find the channel that reaches the audience, not the audience that fits your channel

• CAC-obsessed: every program has a cost and a return, and you track both

• Executor: you own programs end to end — building and running campaigns directly when it makes sense, and partnering with channel teams when that's the right move

• Comfortable engaging partners directly — you can have a productive conversation with a partner to gather feedback and drive programs, while knowing when to loop in the account team on relationship and operational questions

Bonus Points

• Experience in real estate, proptech, fintech, or other high-consideration consumer verticals

• Affiliate or referral program management experience

• Familiarity with Opendoor's partner ecosystem (agents, ORE platforms, homebuilders)

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.

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

Senior Manager, Partner Growth Marketing

Location: Toronto

Reports to: VP Acquisition & Lifecycle Marketing

About the Role

Opendoor growth depends on reaching sellers - and not all of them find us directly. Many come through agent referrals. Homebuilders introduce Opendoor to customers trading up. Real estate platforms put our offer in front of homeowners who might not find us otherwise. Strategic partners touch sellers at exactly the right moment.

This role owns the demand gen programs across all of it — campaign execution, performance optimization, and channel growth for partner-based initiatives. You run the programs that make each channel produce, end to end. You'll work closely with Opendoor's partnerships, acquisition, lifecycle marketing, and product teams to coordinate across channels and ensure partner-driven channels are a meaningful contributor to Opendoor’s business.

Core Responsibilities

1. Agent Acquisition

• Own strategy, messaging, and audience targeting for agent acquisition programs — identifying high-value agent cohorts and brokerages, and building programs that bring new agents into the Opendoor ecosystem across paid social, direct mail, and email.

• Work closely with the partnerships and account management teams to align marketing programs with agent recruitment and relationship priorities.

• Support Opendoor's presence at major real estate industry events through marketing programs that drive agent awareness and engagement.

• Measure agent-attributed acquisition volume and CAC, and optimize toward efficiency as the channel matures.

2. Agent Performance & Engagement

• Track agent channel performance daily — monitor which partners and cohorts are up or down, diagnose what's driving changes, and drive programs to move the needle.

• Design and run agent incentive and promotion programs that keep top partners engaged and reinvigorate underperforming ones.

• Engage with agent partners directly to gather feedback, surface what's working on the ground, and translate that into program improvements — partnering with account teams who own the broader relationship.

• Coordinate with the partnerships team to request training, on-site activations, and other support that keeps agent partners informed and activated.

3. Partner & Platform Programs

• Own co-branded acquisition campaigns with online real estate partners and homebuilders — optimizing messaging, targeting, and placement to drive conversion from partner traffic, including campaigns targeting builder sales reps and their trade-up customers.

• Build acquisition programs through seller-adjacent partnerships — companies that reach sellers at key life moments — and activate marketing programs as the partnerships team brings new partners online.

• Work closely with product and partnerships to ensure embedded SDK integrations are backed by marketing support that drives contracts, not just placements.

• Measure partner-attributed CAC across all programs and optimize toward efficiency.

4. GTM & Channel Enablement

• Own the promotional calendar across partner channels — co-branded emails, seasonal campaigns, product launches, and joint retargeting programs that keep Opendoor top of mind.

• Build and maintain partner-facing marketing materials: messaging guides, campaign toolkits, and content that helps partners promote Opendoor effectively.

• Work closely with partnerships, account management, lifecycle, and acquisition teams on partner-specific audience strategies — shared audiences, joint retargeting pools, and sequenced nurture programs.

• Identify what's working in one channel, apply it across others, and continuously optimize the mix toward partner-attributed contracts.

Who You Are

Experience:

• 5–7+ years in demand generation or growth marketing, with experience running programs across multiple channels simultaneously

• B2B2C background — you've marketed to professionals (agents, brokers, reps) who influence or refer consumer decisions, not just end consumers directly

• Proven track record measuring CAC and optimizing channel mix across paid, email, direct mail, and partner programs

• Comfortable launching net-new programs with limited playbook — you've built channel programs from scratch, not just optimized existing ones

Technical Skills:

• Comfortable building and running campaigns directly across paid social (Meta, LinkedIn), email, and direct mail — and equally comfortable briefing and partnering with channel teams when that's the right move

• Understands both acquisition and lifecycle marketing well enough to drive programs across both

• Proficient in SQL or comfortable enough with data to pull your own performance analysis

• AI-native: you use AI tools daily to move faster — campaign analysis, copy generation, audience research, workflow automation

Mindset:

• Multi-channel thinker: you don't default to digital — you find the channel that reaches the audience, not the audience that fits your channel

• CAC-obsessed: every program has a cost and a return, and you track both

• Executor: you own programs end to end — building and running campaigns directly when it makes sense, and partnering with channel teams when that's the right move

• Comfortable engaging partners directly — you can have a productive conversation with a partner to gather feedback and drive programs, while knowing when to loop in the account team on relationship and operational questions

Bonus Points

• Experience in real estate, proptech, fintech, or other high-consideration consumer verticals

• Affiliate or referral program management experience

• Familiarity with Opendoor's partner ecosystem (agents, ORE platforms, homebuilders)

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.

Full Stack Software Engineer (Senior level role)

The Consumer team owns comprehensive digital experiences for home sellers and buyers. While sellers have traditionally come to Opendoor for a cash offer on their homes, we have been expanding our suite of products to serve more customers in one of the biggest transactions of their lives. This is a particularly exciting time for the team as we transform our technical architecture and user experience to a multi-product, personalized experience. We are looking for a product-focused Senior Full stack Engineer to join us in this transformation.

What You'll Do:

• Create Meaningful Experiences: Work closely with product managers and designers to understand user pain points and build elegant, scalable solutions that delight our customers.
• Own Full Stack Features: Design and develop robust front-end experiences in React and TypeScript, while also diving into back-end systems (Python, Go, or Ruby) to ensure seamless functionality end to end.
• Lead with Craftsmanship: Write clean, maintainable, and modular code. You’ll contribute to reusable UI components and scalable application architecture that powers multiple user experiences.
• Collaborate Across Disciplines: Engage with engineers, designers, and operators to deliver end-to-end solutions, share feedback, and ensure alignment across teams.
• Drive Quality & Best Practices: Champion technical excellence through code reviews, mentorship, and initiatives to raise the bar on software quality and team processes.
• Remove Friction with Technology: Partner with our operations teams to identify opportunities where software can simplify workflows, reduce manual tasks, and enhance customer support.

Skills & Experience we're seeking:

• Bachelor's degree in Computer Science or related discipline. Masters degree preferred.
• Outstanding object-oriented design and object-oriented programming skills (OOD/OOP).
• 8+ years of full stack software development experience in a SaaS company - building and delivering high quality, web-based user-centered software products.
• 8+ of development front end UI experience with JavaScript/TypeScript, React, GraphQL, HTML5 and CSS with a deep understanding of building scalable, maintainable user interfaces.
• 5+ years of back end development experience; Ruby, Go, and Python preferred.
• A strong desire to build intuitive, impactful software that solves real problems for real people.
• Experience working closely with cross-functional partners, such as engineering, design and operations, to deliver value to customers
• Ideally, direct experience with our tech stack:
• Frontend:   React, Typescript, gRPC, Kafka, GraphQL
• Backend:  Rails, Go;
• Db:  Postgres
• Cloud:  AWS

The base pay range for this position is $170,000 - $234,000 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.  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

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

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.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

The base pay range for this position is $172,000–$238,000 Canadian Dollars 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.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

The base pay range for this position is $214,000 - $294,800  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.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

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.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

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.

US Payroll and Stock Administration

About the Role

We’re seeking an exceptional Payroll and Equity Specialist to join our Opendoor Payroll and Equity team to meet and exceed the needs of our employees as our business rapidly grows in existing markets and scales to new markets.  

In this role, you will:

• Ensure accurate and timely processing of payroll. Perform payroll review functions as needed. Audit, research and resolve payroll discrepancies.

• Process hourly and salary US payroll and salary Canadian payroll on a semi-monthly payroll cycle.

• Perform audits of employee records to ensure tax compliance and ensure new employees are set up correctly. 

• Review and resolve payroll tax compliance notices.  

• Research payroll tax requirements as the Company expands to new states. Set up withholding and SUI accounts with the appropriate agencies as needed.

• Audit and balance quarter end and year end wages and W2 box configuration to ensure accuracy before finalizing W2 filing. 

• Collaborate with other team members and other departments to identify and drive process improvements. Including testing of system enhancements.

• Ensure compliance with federal, state, and local payroll, wage and hour laws and best practices.

• Maintain the integrity, confidentiality, and accuracy of Payroll/HR files, records, and documentation.

• Provide excellent customer service to our employees and answer payroll and equity related questions timely.

• Maintain participant information in the E*Trade system

• Run weekly and ad hoc reports for participants and other stakeholders upon request

• Assist with trade clearance, 10b5-1 plan reviews, and participant messages during open trading windows

• Manage day-to-day equity workflows between E*TRADE and payroll, including vestings, daily option exercises, and ESPP purchases; reconcile discrepancies

• Review new awards and maintain appropriate documentation for each grant

• Perform other payroll and stock related duties and projects as needed

• Ensure timely and accurate documentation of payroll and month end processing to remain in compliance with our SOX procedures and controls.

We’re looking for teammates who bring:

• 5+ years of combined payroll and equity experience preferred.

• Excellent verbal and written communication skills.

• Excellent interpersonal skills with the ability to manage sensitive and confidential situations with tact, professionalism, and diplomacy.

• Excellent organizational skills and attention to detail.

• Proficient Microsoft Office, Gmail, G (Google) Suite preferred (sheets, forms and docs)

• Ability to meet deadlines in a fast paced environment

• Open to change and willing to learn new skills

• Ability to multi-task and work in multiple systems

Nice to have:

• Experience with the E*Trade Stock Admin platform

• Ability to process basic payroll and equity related journal entries

More About Us

• Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.

Opendoor values Openness

• Our team celebrates our diverse backgrounds.  We believe that being open about who we are and what we do allows us to be better.  Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations and ordinances.

US Payroll and Stock Administration

About the Role

We’re seeking an exceptional Payroll and Equity Specialist to join our Opendoor Payroll and Equity team to meet and exceed the needs of our employees as our business rapidly grows in existing markets and scales to new markets.  

In this role, you will:

• Ensure accurate and timely processing of payroll. Perform payroll review functions as needed. Audit, research and resolve payroll discrepancies.

• Process hourly and salary US payroll and salary Canadian payroll on a semi-monthly payroll cycle.

• Perform audits of employee records to ensure tax compliance and ensure new employees are set up correctly. 

• Review and resolve payroll tax compliance notices.  

• Research payroll tax requirements as the Company expands to new states. Set up withholding and SUI accounts with the appropriate agencies as needed.

• Audit and balance quarter end and year end wages and W2 box configuration to ensure accuracy before finalizing W2 filing. 

• Collaborate with other team members and other departments to identify and drive process improvements. Including testing of system enhancements.

• Ensure compliance with federal, state, and local payroll, wage and hour laws and best practices.

• Maintain the integrity, confidentiality, and accuracy of Payroll/HR files, records, and documentation.

• Provide excellent customer service to our employees and answer payroll and equity related questions timely.

• Maintain participant information in the E*Trade system

• Run weekly and ad hoc reports for participants and other stakeholders upon request

• Assist with trade clearance, 10b5-1 plan reviews, and participant messages during open trading windows

• Manage day-to-day equity workflows between E*TRADE and payroll, including vestings, daily option exercises, and ESPP purchases; reconcile discrepancies

• Review new awards and maintain appropriate documentation for each grant

• Perform other payroll and stock related duties and projects as needed

• Ensure timely and accurate documentation of payroll and month end processing to remain in compliance with our SOX procedures and controls.

We’re looking for teammates who bring:

• 5+ years of combined payroll and equity experience preferred.

• Excellent verbal and written communication skills.

• Excellent interpersonal skills with the ability to manage sensitive and confidential situations with tact, professionalism, and diplomacy.

• Excellent organizational skills and attention to detail.

• Proficient Microsoft Office, Gmail, G (Google) Suite preferred (sheets, forms and docs)

• Ability to meet deadlines in a fast paced environment

• Open to change and willing to learn new skills

• Ability to multi-task and work in multiple systems

Nice to have:

• Experience with the E*Trade Stock Admin platform

• Ability to process basic payroll and equity related journal entries

More About Us

• Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.

Opendoor values Openness

• Our team celebrates our diverse backgrounds.  We believe that being open about who we are and what we do allows us to be better.  Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations and ordinances.

Software Engineer, Security Engineering

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.

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

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

About the Team

This is an opportunity to cultivate and lead an impactful team of Customer Experience Specialists . The Customer Experience Specialist team takes pride in delivering exceptional support and a world-class experience to thousands of customers each day. They play a vital role in every aspect of Opendoor’s operations—supporting customers through one of the most meaningful financial decisions of their lives. As an Experience Advocate Associate Manager you will deliver hands-on coaching and development while also maintaining a relentless focus on improving the experience for the thousands of customers (agents, buyers, sellers, neighbors among others) that we serve on a weekly basis. We’re looking for someone with the right blend of natural leadership, builder mentality, operator mindset and problem solving ability.

This role is based out of our Miami office and will report to the Senior Customer Experience Manager. 

Role Responsibilities

• Lead and manage a team of Experience Advocates (XAs) to consistently meet or exceed quality, responsiveness, and customer satisfaction metrics across multiple communication channels.

• Inspire a culture of urgency, accountability, and execution excellence, empowering team members to deliver fast, precise, and high-impact customer experiences.

• Build and sustain a high-engagement, in-person team culture grounded in openness, trust, direct feedback, and a shared commitment to identifying and eliminating customer defects.

• Role model Opendoor principles and XA team values in all interactions, setting a clear standard for professionalism, ownership, and customer advocacy.

• Recognize and celebrate individual and team successes, fostering motivation, retention, and a culture of appreciation across the organization.

• Continuously coach and develop team members, reviewing customer interactions to ensure alignment with company values and to elevate performance toward a world-class service standard.

• Maintain deep expertise in XA metrics, monitoring daily and weekly performance, identifying trends, spotting work avoidance, and driving corrective action through effective coaching and performance management.

• Actively manage staffing coverage and workload distribution, adjusting resources as needed to meet service demands and business priorities.

• Serve as an escalation leader and hands-on problem solver, working in the details daily to remove blockers, resolve complex customer issues, and ensure cross-team alignment.

• Proactively communicate with senior leaders, providing clear insights on performance, risks, and the customer impact of business decisions.

• Leverage customer insights to influence operational and product improvements, partnering closely with Operations and cross-functional teams to drive meaningful change.

• Maintain subject matter expertise across Opendoor offerings, participating in ongoing training, providing live support to the team, and handling inbound customer interactions as needed.

• Recruit, onboard, train, and coach new hires, accelerating ramp time and enabling team members to achieve their full potential.

Role Requirements

• Minimum 2+ years of management experience with direct reports. 

• Must be in office for all scheduled working days that fall on Monday, Tuesday, Thursday and Friday.

  • *Wednesdays are optional but not required

• Willingness to work on evenings, weekends and holidays.

• Available to work between the hours of 8:00am and 7:00pm EST.

• Model for what it means to be a leader - thoughtful, pursuit for the truth, deep desire to serve, decisive & solutions oriented.

• Strong communicator and team player with a desire to grow further.

• Committed continuous learner on real estate concepts, market dynamics, and Opendoor product offerings. 

• Work well within a team setting to create and deliver our overall vision for the XA org.

Our compensation plan consists of a base salary 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.

This job is Hybrid:  4 days onsite, 1 remote

About the Role

The Sourcing Lead is responsible for supporting and executing all aspects of Sourcing and Category Management across a large number of indirect spend categories (SaaS, Cloud, HR, Professional Services, Marketing, facilities). The Sourcing Lead will be expected to both support and lead competitive sourcing events (RFx’s) and direct negotiations to achieve best total commercial value for Opendoor in its vendor contracts. 

What You'll Do

• Category Management:

  • Support Indirect Category Leads and Head of Procurement in development of indirect category strategies

  • Conduct spend analysis to identify market intelligence, trends and opportunities within categories

  • Support policy drafting and execution for indirect categories to manage consumption of resources and associated cost

  • Establish collaborative relationships with key vendors and internal stakeholders. Be a champion for Procurement across Opendoor. Train and mentor a broad range of stakeholders and lead efforts to elevate general Procurement IQ across Opendoor

• Sourcing:

  • Lead your own competitive sourcing events (RFx’s) and direct negotiations, delivering robust supplier evaluation and commercially beneficial terms. 

  • Support on execution of large $ RFP’s and direct negotiations with suppliers

  • Conduct negotiation of contractual commercial terms and coordinate reviews with legal where appropriate 

  • Manage day-to-day procurement related activities and requests. 

• Vendor Management:

  • Support in scoring and segmentation of Opendoor indirect supply-base

  • Facilitate QBR’s with tier 1 vendors to ensure maximum value is being derived from these relationships

What You'll Need

• Detailed knowledge of sourcing methodologies and negotiation strategies, with proven experience in delivering competitive bids & direct negotiations to achieve cost-savings and commercial value

• Demonstrable experience in supply market analysis, category management analytics to identify trends and opportunities

• Multi-indirect category experience is preferred, with an emphasis on technology and professional services

• Experience in supporting Procurement processes across sourcing and P2P (Ramp, Coupa, Zip)

• Strong understanding and intellectual curiosity for Procurement, Sourcing and Category Management

What You'll Need

• 4-6 years procurement/sourcing experience

• Proven track record leading RFPs and achieving measurable savings

• Experience with indirect spend categories

• Strong analytical and Excel/Google Sheets skills

• Excellent communication and stakeholder management

• Bachelor's degree (Business, Supply Chain, or related field)

• Experience with procurement systems (Coupa, Zip, etc.)

Compensation

The base pay range for this position is $102,670 – $141,569 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.

This job is Hybrid:  4 days onsite, 1 remote

About the Role

The Sourcing Lead is responsible for supporting and executing all aspects of Sourcing and Category Management across a large number of indirect spend categories (SaaS, Cloud, HR, Professional Services, Marketing, facilities). The Sourcing Lead will be expected to both support and lead competitive sourcing events (RFx’s) and direct negotiations to achieve best total commercial value for Opendoor in its vendor contracts. 

What You'll Do

• Category Management:

  • Support Indirect Category Leads and Head of Procurement in development of indirect category strategies

  • Conduct spend analysis to identify market intelligence, trends and opportunities within categories

  • Support policy drafting and execution for indirect categories to manage consumption of resources and associated cost

  • Establish collaborative relationships with key vendors and internal stakeholders. Be a champion for Procurement across Opendoor. Train and mentor a broad range of stakeholders and lead efforts to elevate general Procurement IQ across Opendoor

• Sourcing:

  • Lead your own competitive sourcing events (RFx’s) and direct negotiations, delivering robust supplier evaluation and commercially beneficial terms. 

  • Support on execution of large $ RFP’s and direct negotiations with suppliers

  • Conduct negotiation of contractual commercial terms and coordinate reviews with legal where appropriate 

  • Manage day-to-day procurement related activities and requests. 

• Vendor Management:

  • Support in scoring and segmentation of Opendoor indirect supply-base

  • Facilitate QBR’s with tier 1 vendors to ensure maximum value is being derived from these relationships

What You'll Need

• Detailed knowledge of sourcing methodologies and negotiation strategies, with proven experience in delivering competitive bids & direct negotiations to achieve cost-savings and commercial value

• Demonstrable experience in supply market analysis, category management analytics to identify trends and opportunities

• Multi-indirect category experience is preferred, with an emphasis on technology and professional services

• Experience in supporting Procurement processes across sourcing and P2P (Ramp, Coupa, Zip)

• Strong understanding and intellectual curiosity for Procurement, Sourcing and Category Management

What You'll Need

• 4-6 years procurement/sourcing experience

• Proven track record leading RFPs and achieving measurable savings

• Experience with indirect spend categories

• Strong analytical and Excel/Google Sheets skills

• Excellent communication and stakeholder management

• Bachelor's degree (Business, Supply Chain, or related field)

• Experience with procurement systems (Coupa, Zip, etc.)

Compensation

The base pay range for this position is $75,000 - $103,400 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.

About The Role

We’re hiring a cross-channel Sr Performance Marketing Manager who is equal parts strategist, analyst, operator, and partner manager. You will own end-to-end media planning, buying (via agencies and platforms), optimization, and measurement across Video (TV, CTV, OLV), Audio, Display/Programmatic, Direct Mail, and other local media. You have experience with traditional channels —with deep, hands-on expertise in digital media. You are a flexible jack-of-all-trades who can zoom from long-term strategy into in-the-weeds execution to deliver measurable business outcomes. Critically, you know how to “build brand through a performance lens,” connecting upper-funnel investments to near-term impact and long-term value creation.

What You’ll Do

• Lead cross-channel strategy and plans: define channel roles, audience frameworks, geo strategy, flighting, and mix across TV/CTV/OLV, Audio (streaming and terrestrial), Display/Programmatic, Direct Mail, and other local media —anchored in digital excellence.

• Manage agencies and platform partners: write briefs, set KPIs/SLAs, negotiate rates, push for inventory optimization, enforce QA standards, and ensure brand safety and suitability.

• Build brand through a performance lens: architect brand investments and creative systems that drive efficient reach, quality frequency, brand lift, and measurable downstream outcomes (site traffic, qualified leads, acquisition).

• Drive performance and learning velocity: design and run a rigorous test-and-learn roadmap (audiences, creative, supply, formats, bidding, landing experiences); scale winners, sunset underperformers, and codify learnings.

• Own budgets and pacing: forecast, allocate, and dynamically rebalance spend; connect investment to acquisition and brand outcomes; communicate returns, trade-offs, and risks crisply.

• Elevate measurement: lead incrementality and geo experiments; contribute inputs for MMM; maintain attribution hygiene; partner with Analytics and Data Science on experiment design and decision frameworks.

• Improve creative effectiveness: define specs and messaging frameworks by channel; partner with Brand/Creative on concepting, iteration, and refresh cadence.

• Strengthen data and tooling: champion single source-of-truth dashboards; reduce drift and duplicate tooling; leverage automation/AI to eliminate manual toil in planning, reporting and trafficking.

• Communicate and influence: deliver clear reporting, insights, and recommendations to senior stakeholders; translate data into action and align cross-functional teams on next steps.

What You’ll Need

• 7+ years in media planning/buying or performance marketing with deep expertise in digital (programmatic, CTV/OLV; paid social/search as applicable) and strong working knowledge of traditional channels (Linear TV, terrestrial radio, OOH, Direct Mail).

• Proven ability to build brand through a performance lens, linking brand media to acquisition and funnel efficiency while protecting quality reach and brand integrity.

• Demonstrated success managing agencies and platform partners, negotiating value, and holding a high execution bar.

• Strong analytical toolkit: experimentation, funnel diagnostics, incrementality, and translating insights into decisions; experience with BI tools and/or SQL is a plus.

• Hands-on familiarity with major platforms and tools: DSPs (e.g., DV360, The Trade Desk), CTV partners (e.g., YouTube, Roku), ad servers, verification/brand safety solutions, analytics/attribution (e.g., GA4, MMPs, MMM providers, lift testing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Agency and client-side experience 

• Depth in MMM/MTA, geo experiments, and incrementality frameworks; experience shaping a measurement roadmap.

• Comfort bridging brand and performance media; close partnership with creative, finance, product and data science teams

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, brand lift, quality reach/frequency.

• Operational excellence: pacing accuracy, testing velocity and iteration speed, creative refresh cadence, QA/brand safety adherence.

• Strategic influence: clarity of media strategy, improvements to the partner/tooling ecosystem, and durable cross-functional alignment.

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.

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

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.

Location: 

In-office roles require all role responsibilities to be performed in the office. Candidates must be based within a 50-mile commuting distance of the specified office location, or able to commute to the Miami, FL office. Opendoor is a default, in-person company, and values having employees working in-office to foster a collaborative work environment and company culture.

About the Role 

Are you driven by helping people navigate life’s biggest decisions with confidence? Do you thrive on building trust, solving problems, and guiding customers through complex processes? If so, the Home Sales Advisor role at Opendoor offers a unique opportunity to be the empathetic and knowledgeable guide homeowners need as they explore their selling options.

This is more than a sales role—it’s about delivering clarity and certainty to homeowners facing one of the most consequential financial and emotional transitions of their lives. You’ll help customers compare the simplicity and reliability of Opendoor’s cash offer with the risks and complexities of traditional home selling. You thrive in helping others navigate rare or highly complex transactions, taking ownership of your busy pipeline, and delivering life-changing experiences. You know how to stay motivated and productive in a role impacted by seasonality. You’ll bring professionalism and a consultative approach expected in high-consideration transactions with a self-driven sales mindset where trust, expertise, and service delivery are paramount.

What You’ll Need 

• ​You have at least 3 years of experience in phone-based sales, with a focus on high-volume, high-activity sales environments. 
• Proven track record of success in meeting and exceeding sales goals on a monthly and quarterly basis.
• Ability and drive to work in a fast-paced, entrepreneurial, and team environment.
• General technical proficiency with sales tracking software with an emphasis on quick adjustments and real-time responsiveness.

Who You Are

• Sales-driven and results-oriented. You thrive in a competitive environment, meet challenges head-on, and are motivated by achieving and exceeding sales targets. Picking up the phone to connect with customers energizes you.
• Empathetic communicator. You possess exceptional listening skills and high emotional intelligence (EQ). You know how to uncover a customer’s fears and hopes and align them with the best solutions.
• Highly organized and detail-focused. Managing multiple tasks, platforms, and deadlines is second nature to you. Your precision ensures no ball is ever dropped.
• Adaptable and coachable. You embrace feedback and change, continuously refining your skills and processes to stay ahead in a dynamic environment.
• Team-oriented and dependable. You’re a collaborative team player who steps up when needed, supporting colleagues and customers alike with reliability and enthusiasm.

What You’ll Do 

• Be the trusted guide: Serve as the main point of contact for homeowners considering Opendoor’s solutions, explaining their options with empathy and professionalism.
• Consult and sell: Understand customers' unique needs, overcome objections, and clearly communicate the value of Opendoor’s offerings compared to traditional home-selling methods.
• Build meaningful connections: Engage customers via phone, video calls, email, and text, creating personalized and impactful interactions that inspire trust and confidence.
• Drive results: Proactively manage a pipeline of leads, ensuring customers stay on track and are fully supported throughout their transaction. Your goal: turn interest into action by driving conversions across multiple Opendoor products.
• Navigate complexity with ease: Manage timelines, handle shifting priorities, and collaborate across teams to deliver a seamless experience.
• Be there when it matters: Availability across various shifts, including evenings and weekends, ensures we meet customer needs on their schedule.

Bonus points if you have 

• Fluency in Spanish (Verbal & Written)

Compensation: 

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets.  Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. Your recruiter can share more about the specific range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.

#LI-RM
#LI-Onsite

Software Engineer – Backend, Pricing (Senior level or higher)

Toronto

About the Team

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.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

Compensation 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-DM

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 – Backend, Pricing (Senior level or higher)

Seattle, WA

About the Team

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.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

The base pay range for this position is $176,000-$282,000 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. 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

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

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.