Top Tech Jobs & Startup Jobs in Austin, TX

Leads long-term product strategy for Realtor.com’s Client portfolio across lead-generation, branding, promotions, and brokerage software products. Defines strategic roadmaps, packaging and pricing, commercial models, business cases, success metrics, and executive communications. Aligns product, engineering, sales, marketing, GMs, and senior leadership while driving prioritization and strategic decisions without direct authority. Mentors product managers and serves as an internal strategic consultant.

Lead architecture and delivery of complex backend systems, develop scalable and reliable software, mentor engineers, evaluate technologies, and collaborate with product, design, analytics, and engineering teams. The role requires system-wide technical influence, self-directed problem solving, software development best practices, cloud experience, data platform knowledge, and proficiency with Python-based technologies, React, Node.js, GraphQL, and databases.

An 11-week hybrid internship involving high-impact business projects across finance, marketing, HR, revenue, and sales. Interns collaborate cross-functionally, support growth and strategy initiatives, participate in mentorship and business workshops, and gain exposure to executive leadership and company culture. Potential tracks include financial modeling, consumer marketing campaigns, people operations, and revenue or business development support.

Lead the technical strategy and architecture for a modern, real-time enterprise data platform. Design scalable data models, ingestion strategies, governance, security, compliance, and cost-optimization initiatives. Drive the data roadmap across multiple squads, make strategic technical decisions, collaborate with business stakeholders, troubleshoot complex issues, and mentor engineers. The role requires hands-on leadership in data architecture, real-time platforms, and enterprise data strategy.

Own the strategy and lifecycle of Realtor.com’s consumer home-seller experience, including seller readiness, property pages, agent connections, alternative selling options, homepage surfaces, and partner integrations. Lead experimentation, define KPIs, analyze performance, collaborate with engineering, design, analytics, marketing, and business development, and communicate roadmaps and results to stakeholders.

Lead the design and delivery of complex backend software systems, providing architectural guidance, mentoring engineers, and developing scalable, reliable solutions. Collaborate with product, design, analytics, and engineering teams; prototype emerging technologies; evaluate technical trade-offs; and drive initiatives independently. The role involves backend development across real estate products and platforms, with opportunities to use cloud systems, data pipelines, AI, and machine learning.

Leads technical strategy and engineering for large-scale SEO, organic social sharing, and deep-linking platforms. Owns crawl, indexation, rendering, structured data, AppsFlyer attribution, reliability, SLOs, incident response, observability, regression testing, and cross-team technical influence. Writes production code, drives architecture and design reviews, mentors engineers, and partners with Organic Growth product leaders to improve search visibility and listing-sharing experiences.

Develop and maintain scalable, cloud-based search applications and pipelines serving millions of real estate users. Build backend systems with Node.js, Python, TypeScript, and Java; deploy microservices using AWS, Docker, Elasticsearch, and Jenkins CI/CD. Collaborate with product stakeholders in Agile/Scrum teams, optimize developer tooling and infrastructure automation, prototype emerging technologies, and improve application quality, reliability, and delivery speed.

Build and operate high-traffic consumer and partner products across backend services, APIs, frontend applications, infrastructure, and databases. The role owns testing, observability, SLOs, reliability, security, compliance-aware data architecture, incident readiness, and integrations. Engineers independently deliver features, manage dependencies, collaborate cross-functionally, and use AI-assisted development tools. Work may support new construction, mortgage, financial services, rentals, or B2B partnerships.

Supports enterprise systems initiatives focused on Salesforce and customer-facing applications. Gathers requirements, analyzes business processes, writes user stories and acceptance criteria, supports solution design, and coordinates delivery across product, engineering, architecture, QA, and business teams. Implements Salesforce enhancements, supports testing and releases, manages stakeholder communication, and evaluates AI-enabled solutions using platforms such as Agentforce, Claude, Gemini, and Copilot.