Top Tech Jobs & Startup Jobs in Austin, TX

Own the measurement framework for a marketplace product, including KPIs, dashboards, instrumentation, reporting, experimentation, statistical modeling, forecasting, and opportunity sizing. Analyze product engagement, conversion funnels, feature performance, and NPS drivers. Partner with Product, Marketing, Sales, and data teams to deliver actionable insights, improve analytics capabilities, and influence commercial and product decisions.

Build, configure, integrate, troubleshoot, and support Salesforce applications across Sales, Marketing, and Service Cloud. Gather requirements, design technical solutions, develop Apex, LWC, Visualforce, and integrations, and lead Agentforce automation initiatives. Partner with business and technology stakeholders, manage production issues and change control, create documentation, and apply Agile/Scrum practices.

Leads the strategy, roadmap, and execution for owner and seller CRM products. Owns omnichannel campaigns across email, push, and in-product messaging, driving engagement, retention, conversions, leads, and revenue. Partners with engineering, marketing, analytics, machine learning, research, and design teams to develop campaigns, improve data capabilities, prioritize initiatives, manage execution, track KPIs, and communicate business results to senior leaders.

Lead experimentation, product analytics, and reporting for Owners and Sellers. Conduct exploratory, descriptive, statistical, and predictive analyses; design multivariate tests; define success metrics; and translate consumer behavior insights into product and business strategy. Build AI-enabled self-service reporting, improve tracking and data quality, and develop scalable ETL pipelines while partnering with Product, Engineering, Finance, Marketing, and Business Intelligence teams.

Leads consumer data science strategy and high-impact analytical initiatives, including experimentation, causal inference, measurement frameworks, and AI-assisted analytics. Partners with Product, Engineering, and executives to shape roadmaps, define metrics, communicate recommendations, and prioritize business opportunities. Mentors data scientists, establishes technical standards, and develops scalable self-service analytics capabilities using modern data and AI tools.

Leads Realtor.com’s corporate brand programs and partnerships, including annual strategy, activation calendars, executive positioning, major events, asset libraries, creative vendors, and strategic alliances. Measures program impact through brand perception, thought leadership, media reach, engagement, and business outcomes. Partners closely with CEO Communications, creative leadership, executives, agencies, and cross-functional stakeholders to execute high-impact corporate initiatives.

Leads SOX compliance across Snowflake environments, implementing and monitoring controls for access management, segregation of duties, change management, auditing, logging, disaster recovery, and technical evidence collection. Partners with Finance, Data Governance, Engineering, auditors, and legal stakeholders to maintain compliance, support CCPA requirements, and embed governance standards into data workflows. The role also manages access reviews, documents processes, validates evidence using SQL, and helps establish Snowflake as an authoritative system of record.

Develop scalable and reliable backend software, participate in architecture and design reviews, prototype new technologies, and collaborate with product, design, analytics, and engineering teams. The role involves building APIs, backend services, dashboards, data pipelines, and AI-enabled products while applying testing, code review, documentation, and software engineering best practices.

Lead the design and delivery of complex backend systems, provide architecture guidance, develop scalable and reliable software, mentor engineers, prototype technologies, and collaborate with product, design, analytics, and engineering teams. The role involves evaluating technical trade-offs, applying software engineering best practices, and building cloud-based products and data platforms for real estate professionals and consumers.

Develop and operate full-stack applications, backend services, data pipelines, and distributed systems on AWS. Improve content quality through AI and automation, optimize CI/CD and infrastructure tooling, maintain data integrity, and mentor engineers. Collaborate with product, design, and engineering teams using Agile/Scrum to deliver scalable, user-focused features and reliable content systems.