Top Tech Jobs & Startup Jobs in Austin, TX

Designs, builds, and maintains scalable ETL/ELT pipelines and finance data models using Snowflake, AWS, dbt Core, Python, and SQL. Develops Medallion architecture data marts, integrates ERP systems, and partners with stakeholders on financial workflows. Implements data governance, RBAC, automated quality testing, observability, documentation, CI/CD, and secure deployments. Monitors Snowflake costs and optimizes queries while supporting Oracle EBS integrations and the migration to Workday.

Supports analytics teams by creating reports and dashboards, conducting data extraction, cleaning, validation, and basic analysis. Documents queries and business requirements, translates business needs into specifications, supports projects under guidance, and communicates findings to technical and nontechnical stakeholders. The role also develops foundational skills in data storytelling, governed cloud data platforms, metric validation, and workload organization.

Create and edit short-form video content for social media, paid advertising, marketing campaigns, product promotions, and in-app experiences. Develop motion graphics, typography, transitions, sound, and basic color grading while maintaining brand consistency. Collaborate with marketing and design teams, optimize content for multiple platforms, iterate based on performance data, manage organized asset libraries, and deliver projects independently within deadlines.

Recruit clinical and operations candidates in a high-volume, fully remote environment. Responsibilities include partnering with hiring managers, managing requisitions, sourcing, screening, interviewing, pipeline development, background checks, offer negotiation, onboarding coordination, ATS maintenance, compliance monitoring, and using recruiting metrics to improve efficiency and candidate quality.

Build and deploy production machine learning systems across computer vision, multimodal modeling, structured data, and agentic AI. Own projects from problem definition through monitoring, develop data and evaluation pipelines, establish feedback loops, and translate experiments into practical technical recommendations. Collaborate with product, engineering, operations, annotation teams, and domain experts while delivering maintainable code, documentation, and scalable ML solutions.

Develops and commercializes partner-built solutions across the Superhuman Suite. Responsibilities include shaping joint value propositions, creating pitch and demo assets, enabling alliance managers and partners, packaging repeatable solutions, coordinating launches, supporting partner growth, and tracking post-launch performance. The role works across Alliance Programs, Partner Marketing, Technical Alliances, Product, and solution architecture, with approximately 25% international travel.

Lead a small, remote product engineering team while remaining hands-on in Ruby on Rails and React development. Partner with Product and Design to shape roadmaps, build and ship features quickly, develop team members, maintain high engineering and product quality standards, communicate effectively, and learn the trucking industry through customer engagement.

Build scalable, secure data pipelines, models, platforms, and governance systems that enable AI applications to access trusted enterprise data. Partner with analytics, marketing, and product teams to translate requirements into technical solutions, independently deliver projects through production, and support sensitive-data security and access controls. Preferred experience includes LLM architectures, cloud data platforms, infrastructure as code, regulated environments, and technical leadership.

Own the enterprise reporting strategy and Sigma BI platform, including administration, governance, security, data modeling, dashboard development, and self-service reporting. Partner with business and analytics teams to define KPIs, create root-cause reporting frameworks, connect operational metrics to business outcomes, and improve reporting consistency. Lead Sigma adoption through training, documentation, standards, and mentorship while integrating modern data and AI technologies.

Own the strategy and roadmap for patient-provider search, retrieval, ranking, and marketplace matching. Lead experimentation, objective functions, evaluation, and ML platform foundations while partnering with ML engineers, data scientists, design, clinical teams, and executives. Improve successful, lasting care matches rather than optimizing only clicks or bookings. Balance patient access, provider growth, clinical quality, and payer priorities, while setting the standard for technically grounded product management.