Top Tech Jobs & Startup Jobs in Austin, TX

Partner with business leaders to drive talent management, performance cycles, organizational design, change management, employee relations, engagement, and people programs. Use people analytics to spot trends, advise managers, and support global workforce planning while contributing to the People Experience team and fostering DEIB and employee development.

Lead development and maintenance of Customer.io SDKs across platforms, improve SDK delivery infrastructure (CI, testing, release), partner with product/design, use AI agents to make multi-file code changes, and engage with developer customers to improve experience.

The role involves owning the email channel's infrastructure, developing frontend experiences, designing backend systems, and ensuring deliverability in a cloud-native environment.

As a Senior Software Engineer, you'll design and build distributed systems in Go, collaborate across teams, and ensure performance and reliability at scale.

Lead and develop a team of data scientists and analysts to deliver forecasting, experimentation, behavioral analytics, segmentation, churn and health-score models, and revenue forecasts. Partner with product, marketing, sales, and CX to define metrics, measurement frameworks, and analytics best practices while managing internal analytics platform capabilities.

The Senior Data Scientist will analyze customer data, design experiments, build models, and support data-driven decision-making across product, marketing, and customer experience teams.

The Senior Software Engineer will design and build fullstack features using Go, React, and Ember, ensuring optimal customer experiences and system scalability while mentoring peers and driving projects.

Lead a squad end-to-end to deliver customer value: set direction, drive execution, ensure scalable and secure architectures, stay close to technical work, coach and grow engineers, hire and manage performance, and apply AI-native practices to accelerate delivery.

Build production-grade infrastructure for GTM AI agents: harden prototypes, write evals and prompts, implement observability, own deployment pipelines on GCP, manage safe database access, monitor and improve agent fleet, and partner with GTM builders to scale reliability.

Design, build, and own large-scale distributed backend systems in Go to process billions of events and petabytes of data. Lead architecture, reliability, observability, and performance efforts; improve service communication and data pipelines; debug production at scale; mentor engineers and share learnings publicly.