Top Tech Jobs & Startup Jobs in Austin, TX

Lead frontend delivery for custom Shopify eCommerce sites: own feature development, architecture, integrations, code review, release management, client-facing technical planning, risk mitigation, and mentor engineers to ensure quality and timely delivery.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Senior Backend Engineer at Akkio, you'll design and build backend systems for an AI-driven platform, lead projects, mentor junior engineers, and optimize cloud infrastructure.

Design, build, and maintain data models, pipelines, and access layers to support care delivery, operations, and analytics. Ensure data quality, governance, and reliability while optimizing infrastructure and performance. Serve as a technical leader, review code, set engineering best practices, and collaborate cross-functionally to translate business needs into scalable data solutions.

As a Tech Specialist, you will bridge business ideas with digital tools, use AI for automation, troubleshoot issues, and assist the CTO while learning the tech department's operations.

The Solutions Engineer collaborates with sales to meet customer needs, conducts demos, develops proposals, and ensures product implementation and support.

Lead end-to-end credit strategy and underwriting architecture, build scalable decisioning and risk models, monitor portfolio performance, launch credit products, and hire and manage the credit risk and underwriting team while ensuring regulatory alignment.

Own product strategy and roadmap for an agentic AI platform that enables practitioners and AI agents to run defensible tax analysis on trusted data. Define compliance-grade requirements, agent access surface, and data-product contracts. Manage external data sourcing, measure success by practitioner outcomes, and collaborate closely with AI and data engineering leaders to deliver production results.

The DevRel will create technical content, engage with the AI community, provide product feedback, and support workshops to drive developer adoption.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.