Zillow

Machine Learning Engineer

• owning the transition from research code to production-ready and optimized models
• establishing CI/CD pipelines that allow scientists to deploy models in short iteration cycles
• innovating upon our existing monitoring systems to make our services reliable and give scientists insight into performance of models in production
• designing services to expose ML models to Zillow’s end customers
• owning team’s datasets, leading and supporting data engineering projects, and collaborating with scientists on model training
• supporting scientists in running large-scale training and data processing projects
• establishing best practices around code quality, testing, and ownership for reliability
• participating in existing on-call rotation
• staying updated on cutting-edge research and modifying methods for practical use
• collaborating across applied science and engineering teams to turn ideas into scalable product capabilities

Account Executive

• Position yourself as a Real Estate industry expert, conducting discovery and performing demonstrations of the dotloop software product to prospective customers.
• Drive the entire sales cycle from initial customer engagement to closed sale.
• Meet or exceed daily, weekly and monthly key performance metrics.
• Provide feedback to company management on market trends, competitive threats and opportunities to deliver greater value to customers.

Senior Account Executive

Full-stack Engineer

• Build systems behind how Zillow customers find help, schedule tours, and connect with agents
• Turn ambiguous problems into shipped products
• Collaborate with product managers, designers, and data partners
• Build systems that real estate professionals rely on
• Handle user experience, services, APIs, and data models
• Ship with the right testing strategy and monitoring
• Follow work into production and improve over time
• Raise the bar through code reviews and mentoring

Senior AI-Native Product Engineer, Full Stack

Human Resources

• Serve as the primary day-to-day HR point of contact for business leaders, Directors, and front-line managers across the Rentals organization
• Execute high-impact coaching and consultation for senior leaders and managers on complex performance management, organizational development, and leadership capabilities
• Proactively design and implement scalable, strategic HR programs and solutions that drive business outcomes and organizational effectiveness across the full Rentals portfolio
• Provide strategic guidance on organizational design, workforce planning, performance management, and compliance;
• Conduct investigations of workplace policy violations with guidance from the HR Director.
• Partner with Rentals leaders and the broader people team to develop and execute unified HR strategies that champion growth, innovation, and organizational effectiveness
• Assess human resources needs across your Rentals client groups
• Support the communication, rollout, and execution of cyclical HR programs and initiatives for your client groups
• Leverage data and feedback to identify trends and recommend actions to improve team health, retention, and performance across the Rentals organization

Senior HR Business Partner

• Lead the delivery and ongoing support of projects from end-to-end.
• Contribute to the design of new features.
• Review the code of your peers
• Advocate for standard methodologies
• Facilitate engineering discussions
• Mentor junior engineers
• Participate in an inclusive, energetic and highly multi-functional team.

Senior Software Development Engineer

Product Manager

• define and drive product strategy in a high-stakes, cross-functional environment, shaping direction in partnership with senior leaders across the company
• own a multi-quarter monetization roadmap end-to-end, from discovery and definition through launch and iteration
• define and evolve self-serve and sales-assisted monetization experiences that reduce friction, improve activation, and increase time-to-value for real estate professionals
• shape reusable monetization capabilities that can support multiple products and business models, rather than bespoke implementations for a single surface or team
• drive cross-functional alignment across product, engineering, design, sales, finance, legal, and operations, keeping complex, multi-team programs moving without direct authority
• partner with engineering and data science to define what success looks like and build the measurement systems to track it, including funnel performance, operational burden, and customer outcomes
• implement durable customer insight mechanisms that keep the voice of the customer present throughout the product lifecycle
• help shape scalable monetization systems that can support complex customer structures, account hierarchies, and multi-party purchasing workflows

Principal Product Manager, Monetization

Marketing

• Design and execute scalable lifecycle programs spanning MQL → SQL → Opportunity → Closed-Won → Retention
• Diagnose conversion gaps and friction points across the funnel and implement data-backed improvements
• Improve pipeline velocity, lead-to-opportunity conversion, and revenue contribution
• Develop segmented, multi-touch nurture programs aligned to buying stage, persona, and cohort
• Create re-engagement campaigns to activate stalled or aging leads
• Continuously test messaging, timing, channel mix, and offers to improve performance
• Partner with Event Marketing and Demand Gen to maximize event ROI
• Design pre-event, at-event, and post-event nurture streams
• Operationalize event lead capture, scoring, segmentation, and pipeline follow-up
• Scope and implement automated lifecycle journeys within Salesforce/Pardot, Marketo, HubSpot, or similar platforms
• Leverage dynamic content and cohort-based personalization strategies
• Collaborate cross-functionally to ensure accurate tracking and reporting
• Use pipeline metrics, attribution reporting, and lifecycle dashboards to evaluate impact and merchandise efforts
• Translate insights into clear recommendations and optimization roadmaps
• Tie marketing activity directly to pipeline and revenue outcomes.

Senior Lifecycle Marketing Specialist

Technical Program Manager

• lead large, cross-functional programs from strategy and planning through launch and post-launch learning
• translate business and product priorities into clear program plans and milestones
• align Product, Engineering, and Design teams on scope, sequencing, risks, dependencies, and tradeoffs
• drive program execution across complex platform areas
• communicate progress, decisions, and risks clearly to senior and executive stakeholders
• partner with engineering and architecture leaders to ensure technical plans are scalable, realistic, and maintainable
• improve how teams plan and deliver by strengthening governance, reporting, and program management practices
• mentor partners and model operational excellence

Principal Technical Program Manager, Industry Software

Business Operations

• Own and improve annual budgeting, forecasting, and monthly or quarterly reforecasting processes across multiple organizations.
• Partner with Finance and Accounting to support accruals, reporting, and planning system updates, including tools such as Anaplan.
• Deliver financial analysis and actionable insights that support planning and decision-making across CREWO and partner teams.
• Use AI and automation tools to improve the speed, quality, and scalability of financial and operational work.
• Identify process inefficiencies and help build more streamlined, automated workflows for forecasting and operations.
• Develop dashboards and reporting that provide visibility into budgets, spend, and operational performance.
• Support recurring and ad hoc analytics needs across multiple teams and business priorities.
• Lead or support high-priority cross-functional initiatives by aligning stakeholders, clarifying scope, and driving execution.
• Maintain and continuously improve a custom annual operating budget template that supports the unique scope and complexity of this team's planning needs.

Business Operations Specialist

Data Scientist

• Setting the technical direction and measurement strategy for the shopping funnel
• Developing and mentoring data scientists across experimentation, causal inference, and product analytics
• Defining scalable frameworks for A/B testing, funnel optimization, and consumer behavior modeling
• Influencing senior product and business stakeholders with data-driven recommendations
• Ensuring analytical rigor translates into tangible product improvements and business growth
• Driving deep-dive analyses of renter behavior, market dynamics, and funnel performance to identify high-impact growth opportunities
• Managing and developing a team of data scientists working across shopping funnel measurement and consumer analytics
• Raising the bar on production-grade analytics and experimentation
• Operating as a strategic thought partner to senior stakeholders across Product, Engineering, and Business Strategy
• Leading thoughtful adoption of AI within your team.

Manager, Data Science

Artificial Intelligence

• Lead stakeholders through process mapping and operational improvement
• Own the design, build, and iteration of low-code and AI-enabled workflows
• Translate business needs into reliable, production-grade automations
• Develop and maintain evaluation sets, define quality thresholds, and run A/B tests
• Integrate automation into dashboards and reporting
• Track and communicate impact of automation and AI solutions
• Continuously assess new and existing applications and SaaS platforms
• Lead pilots and proofs of value for new workflows or AI capabilities
• Provide training and enablement to Legal & Compliance teams
• Partner with the Compliance Training team to create AI use case specific policies

Data & AI Operations Manager

Business Intelligence Developer

• Dive deep into Zillow's internal and third party data to model data that accurately reflect our customer journey and business processes.
• Design a reusable, modular semantic layer that makes metrics and dimensions consumable across BI tools, data science workflows, and AI systems, while promoting consistency across those surfaces.
• Lead cross-organizational data initiatives that align with company strategy and roadmap planning
• Drive alignment on metric definitions and data governance standards across business lines
• Influence build-versus-buy decisions for analytics tooling, semantic layer platforms, and data governance systems
• Mentor senior analytics engineers as well as shape strategic direction and technical standards for analytics engineering across the organization
• Partner with executive stakeholders to influence how the data infrastructure must evolve to support company objectives
• Operate high availability data and reporting within SLA through quality alerting, detecting issues before customers and resolving with a sense of urgency.

Principal Business Intelligence Engineer

• Own the strategy, roadmap, and lifecycle for Zillow Workspace’s API and integration platform, including APIs, webhooks, event infrastructure, and connector frameworks.
• Turn internal capabilities into scalable platform offerings for customers, partners, developers, and AI powered workflows.
• Lead enterprise onboarding capabilities, including roster ingestion, identity and access provisioning, and bulk data workflows.
• Shape the API platform’s long-term commercialization strategy, including packaging, pricing, tiering, and go-to-market plans in partnership with Sales and Business Development.
• Define how Zillow scales third-party connectors through in-house, partner-built, and marketplace approaches.
• Establish the operating model for platform product management, including lifecycle governance, contract review, deprecation policy, support, and analytics.
• Set the vision for secure, extensible AI-powered experiences on Workspace.
• Influence and mentor PMs across the organization while representing the platform with enterprise customers and partners.