The Director of Marketing Operations Business Partner defines and leads the marketing operating model to accelerate pipeline growth, execution excellence, and deliver performance insights. This role serves as a strategic partner across Revenue Operations, Sales Technology, Data, and Marketing leadership, guiding the design of scalable processes, measurement frameworks, and systems that align marketing execution with business objectives. Reporting to the VP, this role translates business objectives into operational capabilities and  business requirements. This role influences the roadmap direction, and ensures operational readiness and adoption of marketing capabilities that enable teams to execute effectively. This critical role acts as the operational bridge between Marketing strategy and execution, ensuring programs are measurable, scalable, and aligned to pipeline growth.

Based out of Canada or the United States (In Provinces & States we can hire legally), this role will report into the Vice President, Revenue Strategy & Operations.

WHAT YOU’LL DO:

Strategy & Operating Model

• Design and oversee the implementation of  the marketing operations strategy aligned to revenue and demand priorities
• Establish campaign governance, planning cadence, and execution standards
• Design scalable lifecycle processes across demand, field, and customer marketing
• Partner with Marketing leadership on annual planning, segmentation strategy, and program prioritization

Technology & Data Partnership

• Partner with Sales Technology, RevOps, and Data teams to shape the marketing technology roadmap
• Translate strategic business objectives and operational needs into use cases that guide platform decisions and drive measurable impact. 
• Influence architecture, integrations, and data design to enable lifecycle execution and measurement
• Drive marketing readiness for new capabilities including process design, rollout, and adoption to maximize impact
• Establish frameworks for campaign structure, tracking, and data standards to enable reliable  reporting and attribution
• Translate strategic initiatives into operational and platform requirements that support marketing transformation

Process, Measurement & Execution

• Define KPIs across funnel, pipeline creation, conversion, velocity, and ROI
• Establish attribution approach and performance frameworks
• Deliver executive insights that informs investment decisions, planning and performance optimization

• Standardize campaign intake, build, QA, and launch processes
• Improve lead management, scoring, routing, and lifecycle governance
• Drive automation and operational efficiency

Leadership

• Lead, develop, and evolve the Marketing Operations and analytics team by setting clear expectations, providing coaching and feedback, managing performance, and fostering an inclusive, collaborative environment aligned with organizational goals.
• Define priorities, operating rhythms, and ways of working for the function
• Partner cross functionally to align GTM planning and execution
• Act as strategic advisor to Marketing leadership

WHAT YOU’LL NEED:

• 15+ years in Marketing or Revenue Operations in SaaS environment
• Experience building and scaling marketing operating models in growth stage companies
• Proven experience influencing cross functional strategy and roadmaps
• Strong understanding of funnel management, lifecycle design, and attribution
• Experience supporting planning, forecasting, and pipeline strategy
• Expertise in lead scoring, ABM architecture, and performance measurement
• Experience leading teams and driving operational transformation
• Executive communication and stakeholder alignment skills
• Familiarity with Salesforce, marketing automation platforms, intent platforms (e.g., 6sense), conversation intelligence, and BI tools
• Inclusive Leadership: Builds inclusive, cohesive teams which apply diversity to achieve common goals
• Play to Win: Capably delivers results through others, is good at establishing clear direction, helping others achieve their best work
• Long Range Planning: Identifies key issues and relationships relevant to achieving a long-range goal or vision; Builds an integrated plan for course of action to accomplish this vision
• Enablement: Challenges and supports others to create results but also develop new capabilities. Successfully develops the capacity and capability of team and individuals on the team

WHO YOU ARE:

• Tenacious. You are determined to succeed, and you are motivated by the success of customers, colleagues and the community.
• Curious. You are always learning and seeking ways to make things better.
• Conscientious. You keep your promises, taking your commitments to others seriously, and you have strong integrity.
• Humble. You lead with humility and empathy, respecting and learning from the perspectives of others. 

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 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 

Summary

As a Product Design Director at Shift4, you will be the cornerstone of design innovation and collaboration, reporting directly to the VP, Product Design. You will lead the Shift4 Dine design strategy through complexity and ambiguity, crafting AI‑native user experiences that exemplify impact, consistency, simplicity, and elegance across platforms and systems.

You will own the end‑to‑end design vision for Shift4 Dine and drive key initiatives across Web and Android, ensuring a cohesive, modern experience that thoughtfully incorporates AI into critical workflows. 

The ideal candidate has a background as a traditional UI designer (pixel‑perfect visuals, deep Figma expertise, strong interaction design) and has layered on AI‑native thinking, front‑end fluency, and a pragmatic understanding of how AI is reshaping design and development in 2026.

This is an onsite role based at Shift4's Tampa, FL location. 

Relocation assistance may be available. 

Responsibilities

• Lead the design of intuitive, high‑impact user experiences across the Shift4 product portfolio, with primary ownership of Shift4 Dine and key initiatives on Web and Android.
• Define and evolve an AI‑native experience strategy for Shift4 Dine: identify where AI (copilots, recommendations, automation, generative flows) meaningfully improves merchant and staff workflows—and where it should not.
• Leverage AI‑powered design and prototyping tools (e.g., Figma AI features, Claude‑style assistants, code‑aware tools) to explore concepts, generate variants, and rapidly move from idea to interactive prototype.
• Act as a hands‑on design leader on complex, cross‑platform projects while mentoring and directing other designers to elevate craft, quality, and consistency.
• Translate user insights, data, and product strategy into clear design hypotheses and solutions that drive merchant adoption, satisfaction, and measurable business outcomes.
• Partner closely with Product and Engineering leadership to align on product strategy, scope, technical constraints, and delivery timelines; ensure design decisions are grounded in what is feasible in today’s AI‑enabled stack.
• Establish and champion AI UX patterns for the portfolio (assistants, inline suggestions, explainability, error and fallback states, human‑in‑the‑loop correction) and ensure they are implemented consistently across products.
• Contribute to, govern, and evolve scalable design systems, patterns, and best practices across platforms—ensuring components, tokens, and documentation are “AI‑ready” for design‑to‑code workflows.
• Use AI tools to streamline design workflows (research synthesis, content and UX copy, documentation, design QA) while maintaining a critical eye for quality, bias, and brand alignment.
• Navigate ambiguity and rapidly changing AI capabilities; balance long‑term strategic investments with near‑term iterative delivery to ensure outcomes meet both user and business needs.

Qualifications

• Bachelor’s or Master’s in Design or equivalent experience.
• 9+ years in UI/UX or product design with a portfolio showing end‑to‑end product work and strong visual/interaction design across Web and Android.
• Expert proficiency in Figma (components, variants, auto‑layout, tokens, Dev Mode) and experience working with design systems at scale.
• Working knowledge of front‑end fundamentals (HTML/CSS, component/state thinking; React or similar) to read and lightly edit UI code and review AI‑generated output.
• Understanding of how Figma components map to React/Vue components and how design tokens map to CSS/Tailwind, including implications for design‑to‑code and AI tooling.
• Experience using AI tools in the design workflow (e.g., generating UX copy, exploring layout alternatives, creating documentation, or quality‑controlling AI‑generated assets).
• Proven experience contributing to and evolving design systems, patterns, and frameworks—and implementing them directly in design and prototyping tools.
• Demonstrated ability to mentor designers, influence cross‑functional partners, and navigate ambiguity while balancing long‑term strategy with pragmatic execution.

#LI-BN1

We are looking for a Senior QA Engineer to lead the validation strategy, testing execution, and automation efforts for complex, high-impact software systems. This role operates at the intersection of engineering, tools, and product delivery, ensuring that multi-component systems meet the highest standards of quality, performance, and reliability. The ideal candidate is both a technical leader and a quality champion who thrives in complex environments, excels at identifying risk, and drives scalable testing solutions through automation and AI-assisted approaches

Expectation, but not limited to:

• Leads validation for complex systems spanning multiple components and teams, defining test strategy that covers functional, regression, performance, and reliability risks. Prevents high-impact regressions through proactive planning and deep technical triage.
• Creates robust automation and test utilities that materially improve signal quality (reduced flakiness, faster triage, better coverage). Serves as a subject-matter expert who elevates team execution and release confidence.
• Utilizes AI to create automated test cases, improve current process and level up test quality.

Responsibilities will include, but not be limited to:

• Owns large feature areas or subsystems spanning multiple components, including complex interactions across runtime, tools, data, and rendering. Leads cross-team testing efforts and coordinates quality activities for major deliveries.
• Defines validation strategy for complex changes, including automation approach, performance considerations, and fidelity checks. Acts as a technical point of contact for quality risk and testability discussions.
• Own large feature areas or subsystems that span multiple components across Aechelon products, including complex interactions involving runtime, tools, data, and rendering.
• Leads validation for complex systems spanning multiple components or subsystems, coordinating quality activities across ownership boundaries.
• Define and drive validation strategies for complex or high-risk changes, including test scope, automation approach, performance considerations, and fidelity or correctness checks.
• Serve as the primary technical point of contact for quality risk assessment, testability discussions, and release readiness for owned areas.
• Provide technical guidance and mentorship to junior QA engineers, reviewing test plans, test cases, and automation contributions to ensure consistency, coverage, and effectiveness.
• Identify gaps in coverage, tooling, or process, and influence improvements that scale quality across teams and releases.
• Focus on Tool Development & AI:
• Define and drive validation strategies for complex or high-risk changes, with a strong emphasis on Python-based tool development, including test frameworks, utilities, and data-driven validation.
• Design, implement, and maintain tool and testing technology in Python that replace or significantly reduce manual testing for QA owned areas.
• Utilize AI assisted tools to improve/enhance the automation and day-to-day works.

Minimum Qualifications

• BA/BS in Computer Science or equivalent work experience
• Some experience with software testing or quality engineering
• Solid understanding of software development lifecycles
• Strong organizational, communication, and problem-solving skills
• Eligibility to work with export-controlled technology
• Practical experience applying AI tools in QA tasks

Bonus Points

• Experience testing 3D graphics or simulation software
• Python, C++, or automation scripting experience
• Experience with CI systems (Jenkins or similar)
• Experience with Jira, Perforce, Git, or similar tools
• Experience writing technical documentation
• Practical experience applying AI tools to QA tasks

Compensation and Benefits

We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits.

Your Role as a Senior Site Reliability Engineer: 

Our Cloud Operations team seeks a Senior Site Reliability Engineer who will play a critical role in ensuring the reliability, performance, and scalability of our SaaS applications.  The ideal candidate is a problem-solver and an automater.  In this Senior SRE role, you will be responsible for designing, implementing, and maintaining robust systems and processes to prevent outages, minimize downtime, optimize our infrastructure, and build scalable automation that allows us to be more efficient as the business grows.  You will work closely with our development, quality assurance, product, and IT teams to meet the goals of this role.  On-Call coverage will be required weekly.   

A Day in the Life of a Senior Site Reliability Engineer: 

For this role, you will play a key role in maintaining our cloud platform, which includes an assortment of Kubernetes, Microservices, MongoDB, RabbitMQ, MySQL, Windows Server VM Infrastructure, Orchestration Engines, CI/CD and Monitoring platforms.

• Executing projects that rollout new platform maintenance features, automate tasks, or other big picture changes to improve our customers’ experience on our Cloud Platform. 
• Deploying new features and releases of our software into Kubernetes via Helm, so strong experience in Kubernetes and Helm is a must. 
• Troubleshooting performance issues or errors thrown by the cloud platform or application, and either resolving the underlying cause, or forwarding your research to Engineering to address in the product.
• Mentoring others towards technical and procedural success and providing daily operational support to our DevOps team members
• Actioning Request Tickets from other teams in support of their needs to enable and prepare for upcoming releases. 
• Monitoring and maintaining our Platform’s, uptime, resiliency and performance, looking for improvement opportunities, and proactively taking action to solve any negative trends before they become issues. 
• Lead, Participate, or Execute within the incident management process when alerts fire, and quickly ascertain root cause, resolve the issue, and find new and creative solutions to prevent recurrence.
• Configure, Monitor, Research, and Evaluate workload performances both on Google Cloud Platform and Microsoft Azure Clouds. 
• Security and Compliance: Work closely with security teams to ensure adherence to security best practices and compliance standards.
• Collaborating with our Development and Quality Assurance teams to address issues in the product and platform, particularly around recurring problems.
• Documenting new or updating existing processes and procedures to share knowledge and improve on standardized approaches to solution. 

What You’ll Need: 

• Must have a passion for life-long learning.
• Must communicate well and adapt to working well with others across different countries and cultures. 
• Strong background in Containers, Kubernetes, Helm, Linux, Python coding, and some experience with Windows Server OS and MacOS are a must.
• Experience with Google Cloud Platform and Microsoft Azure required. 
• Expert-level troubleshooting experience and the ability to reason through a process workflow to identify a fault or odd behavior (i.e., spending time following log trails).
• Experience with administering MySQL & MongoDB preferred. 
• Experience with administering message brokering systems like RabbitMQ preferred. 
• Must be flexible on occasionally attending “off-hour” meetings (we’re a global team supporting a global customer base!).
• No travel required for this role.  

Nice to Haves: 

• Experience with Build pipeline tools and the Atlassian suite (JIRA, Confluence, Bitbucket/Git, Azure DevOps, Bamboo, Octopus). 
• Experience with monitoring and alerting platforms, especially StackDriver. 
• Experience with HashiCorp Terraform. 
• Experience with IIS

The Perks of Working for Appspace:

For all our US based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, disability coverage, employer paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program.

Additional perks include:

• Generous PTO
• Flexible work schedules
• Remote work opportunities
• Paid company holidays
• Appspace Quiet Fridays (No non-essential internal meetings scheduled)
• A casual dress work environment

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.

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

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.

COMPANY OVERVIEW

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities.

POSITION OVERVIEW:  

We are seeking a mid-level C# Developer to design, build, and maintain internal tools and software installers that support our products and operations. This role focuses on creating reliable, user-friendly utilities and deployment solutions that streamline workflows and improve system usability.

You’ll work closely with engineering, QA, and DevOps teams to develop efficient tooling, automate processes, and ensure smooth software installation and updates.

The role will be based in Orlando, FL and is an in-office position.

JOB SCOPE: 

• Design, develop, and maintain desktop applications and internal tools using C# and .NET
• Build and maintain software installers (e.g., MSI, EXE) using tools such as WiX, InstallShield, or similar
• Develop automation utilities to support deployment, configuration, and diagnostics
• Collaborate with DevOps and QA to improve build, release, and deployment pipelines
• Troubleshoot installation issues and ensure reliable upgrade and rollback mechanisms
• Write clean, maintainable, and well-documented code
• Participate in code reviews and contribute to best practices
• Optimize performance and reliability of tools and installer processes
• Work with product teams to understand requirements and translate them into technical solutions

 REQUIRED QUALIFICATIONS: 

• 3–5 years of professional experience in software development
• Strong proficiency in C# and .NET (Framework or .NET Core/5+)
• Experience building Windows desktop applications (WinForms, WPF, or similar)
• Hands-on experience with installer technologies (WiX preferred, or InstallShield/NSIS)
• Solid understanding of Windows OS, file systems, registry, and services
• Experience with version control systems (e.g., Git)
• Strong debugging and problem-solving skills
• Strong attention to detail, especially in reliability and edge cases
• Ability to work independently and manage priorities
• Good communication skills and ability to collaborate across teams
• Proactive mindset toward improving processes and tooling

PREFERRED QUALIFICATIONS

• Experience with PowerShell or scripting for automation
• Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.)
• Knowledge of packaging and deployment best practices
• Experience with MSI customization, custom actions, and upgrade strategies
• Exposure to security practices related to installers and system-level tools
• Basic understanding of networking or system administration concept
• Experience with driver or low-level system integrations
• Familiarity with virtualization or endpoint environments
• Experience working on security-focused or enterprise software tools

WORKING CONDITIONS: 

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed.

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus.

A background check and drug/substance screening are required after a conditional offer. Employment will proceed only upon receiving clear results from both.

 ThreatLocker also conducts randomized drug and substance testing approximately every 60 days, in line with the same screening standards.

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.

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.

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

The Listing Partner Manager leads a team of licensed Listing Partners (LPs) who serve as the single point of contact for buyers' agents from offer through close on Opendoor-owned resale homes.

You'll be responsible for hitting market-level sales and experience targets by coaching LPs on negotiation, pipeline management, and escalation discipline, while partnering cross-functionally with Pricing, Homes, Title & Escrow, Brokerage, and Product/Tooling to remove friction from the resale process.

• You will build the Miami LP team, its culture, and its operating systems from the ground up — there is no existing playbook to inherit, only one to create.
• This role operates in a fast-moving environment where product, tooling, and policy regularly evolve. The LPM is expected to be a stabilizing force for their team, not a passive recipient of change.

If you thrive in a metrics-driven, high-volume environment, love coaching sales talent, are energized by building from scratch, and are excited to shape the future of Opendoor's resale business — this role is for you.

What You'll Do

Team Leadership & Performance

• Lead, coach, and develop a team of Listing Partners to deliver against a balanced scorecard with defined targets: Conversion ≥70%, Fallthrough ≤18%, Pend-to-Close ≤30 days, Title Attach ≥93%, Armadillo Paid ≥20%, SLA Adherence ≥95%, Net Proceeds vs RTP, and CSAT.
• Run regular 1:1s, call reviews, and file audits to provide clear, actionable feedback and document strengths and development areas.
• Own performance management for your team (goal setting, calibration inputs, performance reviews, and, when necessary, formal performance plans).

• Use AI-generated call scores and conversation analytics (Gumloop Call Scoring) as structured inputs to coaching — moving from reactive file review to proactive, data-driven development conversations.

Operational Excellence

• Ensure LPs consistently follow the Resale playbook, including accurate CITY/CRM hygiene, use of TC workflows, escalation pathways, and coverage processes.
• Monitor dashboards and scorecards to proactively identify risk (aging pendings, high BRN spend, SLA misses, fallthrough risk) and drive corrective action.
• Create and maintain lightweight operating rhythms (team meetings, WBRs/MBRs, leaderboards, audits) that keep the team focused on the right priorities.
• Drive adoption of Opendoor's attach programs — Title, Armadillo, and Lower Mortgage — coaching LPs on offer-entry procedures and buyer activation messaging to hit target attach rates.

• Serve as the LP team's voice in the CRM migration (Zendesk is sunsetting): evaluate the replacement against LP workflow needs, communicate the transition clearly, and drive adoption without performance disruption.
• Proactively identify workflows where AI or automation can reduce LP handle time, improve consistency, or surface risk earlier — partnering with Tooling/Product to pilot and scale them.
• Lead your team through change without losing performance cadence — whether that's a CRM migration, a new AI workflow rollout, a Pricing policy shift, or a product change mid-quarter. Translate ambiguity into clear next actions before your team has to ask.

Coaching on Negotiation & Escalations

• Act as a go-to escalation point for complex negotiations (multi-offer scenarios, low appraisals, LRRs, BRN edge cases, legal/reputation-sensitive issues).
• Coach LPs on framing offers and counters to balance conversion, margin, and agent experience; setting clear expectations with buyers' agents on timelines, repairs, and constraints; and when/how to escalate to Pricing, Homes, Title, or leadership with a clear recommendation.

Cross-Functional Partnership

• Partner closely with Pricing, Homes, T&E, Brokerage, CX, and Tooling/Product to surface recurring issues and data-backed opportunities to improve workflows and policies.
• Pilot new processes (e.g., TC model, countering tools, attach programs) and drive adoption across your team.
• Represent the LP perspective in cross-functional forums, bringing crisp examples and data from your team.

People, Culture & Licensing

• Hire, onboard, and ramp new LPs, including 30/60/90 plans, shadowing, and certification on key workflows — including two consecutive LP classes (April + May) requiring you to run structured training programs while maintaining pipeline oversight.
• Foster a high-accountability, high-support culture that celebrates wins, learns quickly from misses, and embraces change.
• Partner with Brokerage/licensing teams to ensure your direct reports remain in good standing and compliant with licensing, MLS participation, and brokerage policy.

• Build the Miami LP office culture from scratch: establish team norms, escalation rhythms, call standards, and in-office identity — then bridge those consistently to the existing Phoenix in-office team.

Who You Are

• Sales-driven and results-oriented. Energized by hitting and exceeding targets; able to translate portfolio-level goals into daily actions for your team.
• Coaching-focused leader. You enjoy being on the floor with your team — listening to calls, reviewing files, and giving specific, timely feedback.
• Operationally disciplined. You use data and operating rhythms to keep a complex book of work under control.
• Calm in complexity. You handle escalations and change with composure, bringing structure, judgment, and clear communication to ambiguous situations.
• Collaborative and low-ego. You work well with peers and cross-functional partners, comfortable both advocating for your team and holding them to a high bar.

• Comfortable operating in ambiguity. You set direction and hold your team accountable even when policies, tools, or priorities are actively shifting. You don't wait for perfect information to make a call.
• Builder mentality. You are energized by creating something from nothing — whether that's a team culture, an operating rhythm, or an AI-powered workflow. You don't need an existing playbook to get started.

What You'll Bring

Experience

• 3–5+ years in residential real estate, sales, or transaction management, with meaningful time in a high-volume, metrics-driven environment.
• 1–3+ years of people management experience leading sales or account-management teams.
• Demonstrated experience managing teams through organizational or systems change — including communicating the 'why,' addressing resistance, and maintaining accountability during transitions.

Licensing

• Active, unrestricted real estate salesperson or broker license in at least one U.S. state (or ability to obtain within a defined timeline).
• Comfort operating within brokerage, MLS, and state regulatory requirements.

Skills

• Proven ability to coach on negotiation, pipeline discipline, and customer/agent communication.
• Excellent written and verbal communication.

• Strong analytical skills: ability to diagnose performance root causes across a multi-metric scorecard; comfortable building and reading dashboards in tools like QuickSight or equivalent BI platforms.
• AI fluency: demonstrated comfort using AI-powered sales tools — call scoring, workflow automation, offer-entry bots. Experience building or refining AI workflows for a sales team is a plus.

Work Style

• Comfortable working in-office where required and flexing to support peak periods, including occasional evenings/weekends.
• Bias toward action, ownership, and continuous improvement.

• Skilled at building consistency across in-office and distributed sub-teams; comfortable holding a high bar for both groups without creating a two-tier culture.