Top Tech Jobs & Startup Jobs in Austin, TX

Reviews annotated college football images and video clips for accuracy, consistency, and adherence to project guidelines. Identifies errors, incomplete or inconsistent annotations, provides actionable correction feedback, and flags recurring or unclear issues. The role requires strong college football knowledge, attention to detail, critical thinking, clear written communication, and independent work in a remote environment.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Work on front-end and back-end web projects: create and redesign websites, build sitemaps and wireframes, collaborate with teams, and focus on UI/UX and performant back-end functionality.

Lead and deliver Workday implementations with a focus on integrations. Design, build, test, and deploy Workday Studio integrations using Core Connectors, PECI, EIBs, and XSLT. Collaborate with business and technical stakeholders and own end-to-end integration lifecycle from requirements through production deployment.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.

Design and implement enterprise data and lakehouse architectures for client data, cloud, and AI transformation initiatives. The role requires hands-on expertise with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, governance, Terraform, and CI/CD. Responsibilities include client-facing solution architecture, clear communication, and delivery of scalable analytics solutions. Databricks Champion status is mandatory, while DPP experience is preferred. Immediate or 30-day-or-less availability is preferred.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Build and deploy computer vision and machine learning solutions for power grid infrastructure, including defect detection, thermal anomalies, vegetation monitoring, and intrusion surveillance. Responsibilities span research implementation, model experimentation, error analysis, data pipelines, experiment tracking, model serving, testing, monitoring, and client delivery. The role requires productionizing models, adapting research papers, optimizing architectures, and independently owning projects from problem definition through deployment.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Creates and manages written and video content for customer engagement, training, employee education, branded materials, email campaigns, and marketing. Collaborates with Engineering, Product, Customer Success, Sales, and Marketing teams; gathers stakeholder feedback; meets customers to scope training needs; analyzes content performance; and supports content strategy and project execution.