Top Tech Jobs & Startup Jobs in Austin, TX

As a Lead Data Scientist, you will shape data strategy, develop predictive models, analyze healthcare datasets, and collaborate with teams to enhance MDCalc's clinical decision tools.

Design, implement, and ship end-to-end features across backend services and a React web client for a multi-tenant ERP. Own schema design, migrations respecting row-level security, integrations with platform services, and deliver high-quality, performant code with CI/CD, tests, and code review. Leverage AI coding assistants responsibly and collaborate cross-functionally to evolve shared platform libraries and developer tooling.

Own and optimize high-scale AWS Aurora/MySQL multi-tenant databases (400+ schemas). Tune queries, indexes, InnoDB internals, replica/cluster behavior, ETL pipelines, observability (Datadog, performance_schema), capacity/cost, and mentor engineers. Evaluate GenAI tooling to automate diagnostics and fleet management.

Create, audit, and maintain internal and external CX content and knowledge bases (Salesforce preferred). Translate processes into user-friendly guides, manage content requests, develop team macros, and coordinate with Product, Marketing, Legal, and CX leadership to ensure accurate, consistent, brand-aligned customer support resources.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

Lead post-contract partner management for strategic collaborations: own onboarding, cross-functional execution, performance tracking, renewals, and expansion. Negotiate agreements, run business reviews, surface insights to product and GTM teams, and drive measurable partner growth and retention.

Build AI-native offensive security capabilities: develop AI-assisted vulnerability discovery, exploit validation, reverse-engineering and pen-testing pipelines; design agentic workflows and eval harnesses; perform static/dynamic analysis and authorized live testing; produce reproducible technical reports and improve safety, auditability, and human-in-the-loop controls.

The AI Enablement Lead facilitates AI adoption in enterprises, delivering training programs, coaching sessions, and developing curriculum while engaging closely with customer leadership.

This role involves leading red team cybersecurity efforts to evaluate and improve the security posture of the Federal Reserve System through advanced attack simulations and vulnerability assessments.

Own full-funnel lifecycle for Payments and Workforce Management partnerships: source and close partners, lead onboarding and technical enablement, create partner collateral and playbooks, and scale programs through governance, training, and performance tracking (MBRs/QBRs).