Jobs at Houzz

Lead end-to-end development of complex full-stack features for an AI SaaS platform. Design scalable microservices and backend architectures, implement asynchronous processing, ensure data integrity and performance, and deliver robust testing, CI/CD, and observability. Collaborate with Product, UX, and global engineering teams, use AI coding tools, mentor engineers, and build integrations involving payments, billing, subscriptions, or financial systems.

Own product strategy, roadmap, discovery, launch, and iteration for Houzz Pro’s B2B SaaS workflows. Translate complex business needs into intuitive experiences, write PRDs, manage backlogs, lead cross-functional execution, define product metrics, and optimize user journeys. Partner with Engineering, Design, Data, Marketing, Sales, Support, and customers to improve efficiency and retention.

Own product strategy, roadmap, workflows, and execution for Houzz Pro’s B2B SaaS platform. Translate complex business needs into intuitive experiences, lead cross-functional teams, write product requirements, manage backlogs, and deliver high-impact features. Use product analytics and performance metrics to optimize user journeys, efficiency, and retention while collaborating with engineering, design, data, sales, marketing, support, and global customers.

Lead Houzz’s global accounting and controllership function, overseeing close, consolidations, technical accounting, compliance, tax, billing, collections, cash management, stock administration, controls, audits, and finance systems. Manage a team of approximately 15 employees across regions, ensure US GAAP and Israeli compliance, improve quote-to-cash and accounting processes, and advise the CFO, audit committee, and board.

Leads data science initiatives for Houzz Pro product tracks, partnering with product, engineering, design, and senior leaders. Defines metrics, analyzes complex datasets, designs A/B tests and causal inference studies, applies machine learning, builds dashboards, improves data quality, and translates insights into product strategies. Uses LLMs and AI tools, independently manages ambiguous projects, communicates findings, and mentors junior data scientists.