Zillow

Role Description As a Principal Business Intelligence Engineer, you will shape the practice itself, defining how BI and analytics engineering scales across the company and how our data infrastructure evolves to meet the demands of AI-powered analytics. You will build a deep understanding of our mission, business model, and customers to identify opportunities to simplify processes, improve alignment, and strengthen our metrics platform. You will design semantic layer architecture that enables consistent, trusted data across BI, data science, and AI tools, while leading cross-organizational initiatives and influencing tooling and infrastructure decisions. This role requires deep technical expertise, strategic vision, and strong influence across teams. You Will Get To - 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. Qualifications - 8+ years of professional experience in analytics engineering, data engineering, visualization, or a related technical data role. - Experience shipping customer facing, production grade reporting on time and accurately every day. - Expert-level SQL and data modeling skills with experience designing data architectures that span multiple business domains. - Excellent communication and partner management skills, with a consistent ability to gain alignment and influence across product development, engineering, analytics, finance, sales and operations. - Deep experience with semantic layer design, metrics-as-code patterns, and data governance at organizational scale. - Strong understanding of how AI systems, conversational analytics tools, and machine learning workflows consume structured data. - Experience evaluating and adopting analytics engineering tooling at the organizational level (dbt, Databricks, Snowflake, or similar). Requirements - This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. - In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $168,600.00 - $269,400.00 annually. - In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $160,200.00 - $256,000.00 annually. - In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. - Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Benefits - Competitive base salary. - Equity awards based on factors such as experience, performance and location. Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Zillow is honored to be recognized among the best workplaces in the country.

Role Description An Applied Scientist has a masters or PhD and is able to work with complex big data across multiple databases and sources, stitching together a cleaner version of data that is the foundation for analysis. Often times, Applied Scientists have to understand and research the intricacies of the data itself before using it to answer broader questions. More advanced coding and machine learning tools are usually required. Applied Scientists and Economists sometimes have to work together on a project, as their skill sets are complimentary. On occasion, Applied Scientists will also write research briefs, but more often than not they focus on methodology. About the role: - Design and evaluate statistical, econometric, and machine learning methods for forecasting problems. - Build backtesting and validation frameworks to assess forecast accuracy, stability, and downstream forecast impact. - Own the end‑to‑end modeling lifecycle, including scoping, feature engineering, model development, experimentation, deployment, monitoring, and model explainability. - Translate forecasts into clear insights and recommendations for senior leadership, helping stakeholders understand drivers, uncertainty, and trade‑offs that guide Zillow’s strategy. - Quantify uncertainty and clearly communicate model confidence, limitations, and trade-offs to technical and non-technical audiences. - Partner cross‑functionally with finance, product, engineering, marketing, and operations to scale and improve forecasting capabilities across Zillow. - Improve and contribute to shared forecasting tools, data pipelines, and processes used across the company. - Collaborate with other applied scientists and data scientists to develop novel solutions to real estate and business problems. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In addition to a competitive base pay, employees in this role are eligible for incentive compensation subject to applicable laws and relevant Zillow policies. Actual amounts will vary depending on experience, performance and location. Qualifications - Advanced degree (PhD or Masters) in Economics, Statistics, Operations Research, Data Science, Computer Science, Econometrics, Mathematics, or a related quantitative discipline or a related quantitative discipline with 3+ years of experiences in professional applied scientist roles. - Strong experience with time-series forecasting, nowcasting, econometrics, or related quantitative modeling techniques. - Strength in data engineering principles to help envision efficient data solutions at scale. - Experience explaining complex models and analytical concepts to stakeholders with non-technical backgrounds using clear takeaways and practical business framing. - Experience building applied statistical or machine learning models that support real business decisions in production settings. - Proficient in Python and SQL for data analysis, model development, validation, and deployment. - Comfortable working with incomplete, delayed, or noisy real-world data and designing robust estimation strategies. Benefits - Competitive base pay. - Eligibility for incentive compensation subject to applicable laws and relevant Zillow policies. Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., Zillow helps millions of customers navigate buying, selling, financing, and renting with greater ease and confidence. Our teams in India play a critical role in building and scaling the technology, products, and operations that power this experience. - Zillow is honored to be recognized among the best workplaces in the U.S. - Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025. - Included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. - Equal opportunity employer committed to fostering an inclusive, innovative environment.

Role Description The Post Closing team at Zillow Home Loans is a collaborative, high-performing group dedicated to delivering outstanding service and operational excellence throughout the mortgage lending process. Team members work closely together, sharing knowledge and supporting one another to achieve shared goals. The team cultivates a respectful, inclusive, and solution-focused environment, making the workplace both productive and rewarding. As part of this team, your contributions are recognized and celebrated, and you’ll help uphold Zillow’s reputation as a leader in post-closing operations. As a Loan Review Specialist, you’ll play a key role in reviewing closed mortgage loans for accuracy, completeness, and compliance before they move through investor delivery. In this role, you’ll manage a pipeline of files with competing deadlines, identify and escalate issues that could delay purchase, and help ensure loans are delivered with a high level of quality. This is a strong fit for someone who enjoys detailed file review, works well in a fast-paced production environment, and wants to make a direct impact on operational efficiency and loan purchase capacity. You Will Get To: - Complete detailed reviews of closed loan files to ensure documents meet investor and internal audit requirements - Confirm all required loan-level tasks are completed in the loan system before files are shipped to investors - Review loan delivery status for shipped files, troubleshoot issues, and escalate errors or delays as needed - Manage a pipeline of loans with competing deadlines while maintaining strong attention to detail and turnaround times - Enter and validate investor loan information and servicing details accurately in the appropriate systems - Escalate systemic issues, complex scenarios, and recurring defects to leadership for timely resolution - Support quality assurance efforts by identifying trends, surfacing recurring issues, and sharing feedback that improves team performance - Partner with cross-functional teams on new programs, process improvements, documentation updates, and testing of workflow enhancements - Support onboarding and peer training by sharing best practices and serving as a resource for less complex process questions This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $22.80 - $34.20 hourly. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $21.70 - $32.50 hourly. The base pay range is specific to these locations and may not be applicable to other locations. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Qualifications - 2+ years of experience in mortgage operations, preferably in post-closing, loan delivery, or a similar production-focused environment - Experience reviewing loan files for completeness, accuracy, and compliance with investor or internal requirements - Strong attention to detail with the ability to manage multiple priorities and deadlines effectively - Ability to identify issues, investigate discrepancies, and escalate risks appropriately - Strong written and verbal communication skills - Ability to work independently while also collaborating effectively with teammates and partner groups - Comfortable learning and navigating mortgage systems and workflow tools in a fast-paced environment - Experience working in Encompass or similar mortgage loan systems - Preferred: Knowledge of government loan programs, including FHA and VA guidelines - Preferred: Experience with Jumbo, manufactured home, bond, or down payment assistance loan products Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

Role Description As a Product Manager on the Customer Data Platform team, you will own key parts of the CDP roadmap: what data flows into the platform, how marketers discover and use it, and how the platform evolves to support new capabilities across channels. You'll sit at the intersection of marketing needs and platform architecture, translating what marketers want to accomplish into lasting product decisions about data, tooling, and integrations. - Own relationships with marketing stakeholders while surfacing feature opportunities and requirements proactively - not waiting for intake. - Translate marketing needs into clearly scoped work for the CDP technologist team (data contracts, identity rules). - Drive the CDP roadmap for your area, making tradeoffs informed by impact, effort, and business context. - Lead new integrations and system connections across paid channels, messaging platforms, and partner tools. - Manage the vendor relationship with our CDP and ESP providers. - Improve how marketers discover data, build audiences, and measure performance by simplifying workflows and closing gaps in the platform experience. - Give stakeholders clear visibility into progress through written updates, regular communication, and a trusted point of contact for CDP across the organization. This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and instead work from a physical location of their choice, which must be identified to the Company. Employees may live anywhere in Mexico, with availability to travel to Mexico City, as we recommend attendance at occasional office events. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location. Qualifications - Hands-on experience with a Customer Data Platform or closely adjacent martech (Hightouch, Segment, Braze, mParticle, Iterable, SFMC, HubSpot, or similar). - Fluent in identity resolution, audience segmentation, and activation across channels. - Track record of translating marketing stakeholder needs into durable platform capabilities. - Lead through influence with technologists and engineers. - Strong written communication skills. - Drive roadmap prioritization using impact/effort tradeoffs, informed by competitive landscape and internal business context. - Reads data models and event schemas fluently. - 3+ years in a product management role building technology products, with at least 1+ year on a martech, data platform, or marketing-adjacent product. - Uses AI in their own work and knows when to apply it. Requirements - Direct experience with Hightouch, Braze, or reverse ETL tooling. - Experience managing a SaaS vendor relationship (roadmap influence, escalations, contract input). - Experience with paid media activation or messaging platform integrations. Benefits - Competitive base salary. - Benefits package. - Equity awards based on factors such as experience, performance, and location.

• Provide advanced manager coaching, case coordination, and project support • Partner closely with HRBPs to execute people and talent strategies • Own intake, triage, and resolution for a large share of routine but nuanced HRBP work • Log and track work in ServiceNow to create visibility into patterns, escalation accuracy • Serve as a primary point of contact for mid-level managers for complex HR questions

• Conduct in-market and virtual outreach to Brokers, MLSs, Associations, Agents, and Industry Partners to retain, acquire and drive product adoption • Conduct outreach to Brokers, Agents, MLSs, and Associations to acquire listings and listing agreements • Host webinars and in-person presentations to further business goals • Conduct training/onboarding and work one-on-one with business partners • Attend conferences, meetings, and industry events on behalf of ShowingTime+ and Zillow Group • Proactively connect and partner with various internal teams including Broker, MLS and Association Industry Affairs teams, as well as Broker and MLS Development Teams • Occasionally host full team meetings, huddles, and project meetings • Communicate regional metrics and present to management and stakeholders • Work with peers to de-escalate and find solutions to issues

Role Description As Senior Research Technologist, you’ll sit within the Product Acceleration Research team, a sub-team of Zillow Research & Insights (ZRI) focused on accelerating the speed of product development. Specifically, you'll join the Emerging Opportunities team, whose mandate is to prove new capabilities, partnering closely with Design, Research Operations, and product teams across Zillow. As Zillow's agentic AI experiences grow across every product surface, ZRI is expanding its team to include a new kind of role: a Research Technologist who sits at the intersection of technical fluency and research thinking. You will get to: - Build, improve, and scale the infrastructure teams use to test emerging AI-powered experiences with real users before launch. - Treat testing infrastructure like a product by prototyping quickly, learning from real use, and iterating based on what works. - Define clear standards for when and how pre-production testing should happen, what evidence should inform decisions, and how those practices can scale across teams. - Build the processes and systems that make these standards repeatable. - Partner with Product, Engineering, Design, Design Technology, and Research to translate testing needs into practical systems and workflows. - Bring technical perspective into research conversations and advocate for strong learning practices in cross-functional decision-making. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $148,600.00 - $237,400.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $141,200.00 - $225,600.00 annually. The base pay range is specific to these locations and may not be applicable to other locations. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Qualifications - You're a builder first, regardless of your background. - You're energized by jumping into a messy system, understanding how it actually works, and turning ambiguous problems into scalable workflows or tools. - You have the technical fluency to partner effectively with engineers and understand how AI-enabled systems are built, tested, and improved. - You bring strong research judgment and understand what makes user testing and experimentation credible, useful, and actionable. - You collaborate well across Product, Engineering, Design, Research, and hybrid disciplines that blur these lines, and you can move work forward in a complex organization. - You are comfortable with ambiguity and can help define a path forward when the problem, process, or solution is still taking shape. Requirements - Scripting or lightweight coding - you've written Python, JavaScript, or similar to automate something or solve a problem, even if you don't write production code regularly. - API fluency - you've called, configured, or debugged an API directly, and you understand how services connect and exchange data. - Dev environment experience - comfortable in a terminal, familiar with Git, and understand the difference between staging and production environments. - Prototyping or configuration tools - experience with tools like Replit, Cursor, Claude Code, or similar environments where you've built or configured something end to end. - Research or testing platform experience - you've worked with tools used to run studies, configure test environments, or manage participant experiences. Benefits - Competitive base salary. - Equity awards based on experience, performance, and location. Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing, and renting with greater ease and confidence. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees.

• Partner closely with the Senior Sales Director, New Construction to identify revenue drivers, performance trends, and growth opportunities across the sales organization. • Develop a deep understanding of sales processes and operationalize sales plays based on market opportunities, funnel insights, and team performance trends. • Analyze seller and segment performance to improve pipeline management, conversion, productivity, retention, and overall sales performance. • Identify opportunities to improve sales processes and partner with Operations to increase consistency and efficiency across the organization. • Help design and implement more standardized forecasting processes, including clearer definitions, stronger reporting, and more consistent operating rhythms for pipeline and revenue reviews. • Partner with Sales leadership, Finance, and Analytics to translate business goals into measurable frontline KPIs. • Work with Sales Analytics to refine performance frameworks, dashboards, and reporting that show whether sales strategies and plays are driving results. • Synthesize complex data into clear recommendations and communicate insights, tradeoffs, and risks to senior stakeholders to drive alignment and action.

• Lead pricing strategy and optimization across New Construction products, customer segments, and go-to-market motions, including pricing architecture, packaging, discounting, and monetization levers. • Develop data-driven pricing recommendations using customer value, ROI analysis, competitive analysis, market dynamics, portfolio performance, and business tradeoffs. • Identify, size, and prioritize pricing opportunities that improve revenue growth, product adoption, partner ROI, long-term business health, and minimize cannibalization. • Build business cases and scenario analyses to inform pricing decisions, annual planning, and strategic investment choices in partnership with Finance and business leadership. • Design and evaluate pricing tests, pilots, and promotions by defining success metrics, measuring impact, and translating results into clear recommendations. • Monitor customer contracts and pricing to ensure rates remain appropriate and aligned with business objectives. • Partner cross-functionally to operationalize pricing decisions through systems, workflows, dashboards, sales materials, and field execution. • Help define pricing governance, simplify pricing and packaging where appropriate, synthesize analysis for senior stakeholders, and leverage AI tools to improve efficiency and effectiveness.

• Lead and build AI-enabled tools to help teams learn faster and make better product decisions • Partner with leadership and cross-functional stakeholders to shape, sequence, and operationalize the portfolio roadmap • Measure success through usage, reliability, and learning impact metrics • Architect and build AI-native tools using modern AI coding environments and agentic frameworks