Top Tech Jobs & Startup Jobs in Austin, TX

Own the lead-to-agent matching model, agent handoff experience, and related premium customer issues. Build a roadmap focused on improving Claim Rate and Assignment Rate, translate customer-specific eligibility rules into scalable product configurations, partner with engineering and customer-facing application teams, and coordinate with the Call Center Platform PM. Represent the domain in planning and leadership reviews.

Lead backend engineering for a video platform that uses generative AI to create cinematic real estate walkthroughs. Design scalable GraphQL services, data models, asynchronous video-generation pipelines, and reliable cloud infrastructure. Guide architecture, prototype emerging AI technologies, mentor engineers, and collaborate with product, design, and analytics teams. The role requires strong Java, Python, Spring Boot, GraphQL, SQL, AWS, distributed systems, observability, and system design expertise.

Develop and support Salesforce applications across Sales, Marketing, and Service Cloud. Gather requirements, design technical solutions, configure and customize Salesforce, build Agentforce agents and bots, develop Apex, LWC, Visualforce, and integrations, troubleshoot production issues, manage deployments, and support Agile/Scrum delivery. The role partners closely with business, product, sales, marketing, service, and technology stakeholders.

Manage P&L forecasting and budgeting for business units, provide strategic financial advice, perform variance and business-case analysis, prepare executive reports, and oversee headcount and accrual accuracy. Build driver-based financial models and dashboards using Adaptive, Excel, and Google Sheets. Lead process improvements, apply AI tools to automate analysis and documentation, and maintain rigorous data and file organization while partnering with business leaders.

Lead product strategy and roadmap for Realtor.com's client portfolio, including client-facing products, internal tools, scalable data products, and enterprise integrations. Define product vision, commercial models, pricing, packaging, and lead economics while partnering with engineering, data, legal, sales, and executive stakeholders. Build business cases, establish quality and trust standards, and deliver scalable capabilities that create client and business value.

Own the strategy and roadmap for critical lead ingestion, delivery, or backend platform infrastructure. Partner with engineering on APIs, webhooks, architecture, and data contracts; manage SLAs, production issues, migrations, and legacy-service consolidation. Translate customer and internal requirements into product plans, documentation, and measurable outcomes while leading a dedicated engineering team and communicating tradeoffs to senior stakeholders.

Own and scale growth marketing programs focused on acquisition and product-led growth. Manage multimillion-dollar investments, test emerging channels, build campaign infrastructure and creative, and develop measurement frameworks. Partner with Product, Engineering, Data Science, Finance, and Business Development to identify scalable growth levers. Translate analysis into strategic recommendations and use AI tools to accelerate landing page, creative, campaign, and workflow development while applying responsible AI practices.

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.

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.

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.