Top Tech Jobs & Startup Jobs in Austin, TX

Leads and develops product, marketing, and data analysts while overseeing analytics strategy, prioritization, technical standards, experimentation, reporting, and data quality. Partners with Product, Marketing, Finance, Engineering, and recruiting to deliver trusted insights, scalable self-service analytics, and team growth. Requires strong SQL and Python skills, modern data-tool experience, analytics leadership, stakeholder communication, and at least five years in data roles with two years managing teams.

Own the Applied AI product roadmap, identify consumer problems, and deliver zero-to-one AI features for insurance shopping. Lead rapid prototyping, user testing, experimentation, and AI-assisted development in partnership with engineering, design, and product teams. Define success metrics, analyze quantitative and qualitative results, communicate technical trade-offs, and embed personalized AI, discovery, and conversational capabilities across consumer experiences.

Leads quality strategy and automated testing across functional, integration, and end-to-end applications. Owns test frameworks and infrastructure, integrates testing into CI/CD pipelines, plans release testing with Engineering and Product, tracks quality metrics, improves defect prevention, contributes to tooling standards, and mentors junior quality engineers.

Own commercial monetization and yield optimization across performance marketing marketplaces and digital referral funnels. Optimize traffic allocation, buyer payout thresholds, dynamic pricing, tiering rules, buyer rejection mitigation, and routing strategies to maximize revenue and margin. Partner with Data Science and Engineering on intent prediction, bidding logic, and allocation algorithms. Translate marketplace economics into SQL and Looker models, engineering requirements, dashboards, and performance analytics.

Own the company’s primary insurance conversion funnel and revenue performance. Lead Product Managers, define long-term funnel strategy, optimize Revenue Per Visitor and conversion, segment traffic and user journeys, establish quantitative benchmarks, prioritize roadmaps by ROI, apply advanced experimentation methods, and improve metric visibility. Partner with engineering, design, analytics, and commercial teams while coaching teams and influencing senior stakeholders.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.