Top Tech Jobs & Startup Jobs in Austin, TX

Prepares, sorts, and scans high volumes of hard-copy records into accurate digital images. Maintains document order, meets strict production and typing requirements, communicates job updates with Imaging Center personnel, follows process standards, and completes tracking documentation in a clean work environment.

Provides administrative support through data entry, record maintenance, customer inquiry management, team coordination, and general organizational assistance. The role supports multiple departments, helps ensure smooth operations, and contributes to team productivity while requiring strong communication, multitasking, organizational, and collaboration skills.

Provides administrative and data-entry support to the sales team, maintains accurate sales records, prepares reports and presentations, coordinates with departments, responds to customer inquiries, and helps sales staff achieve performance objectives.

Define product vision, roadmap, and backlog for technical products. Collaborate with engineering, design, and business teams to write user stories and acceptance criteria, run agile ceremonies, manage releases, and prioritize features based on business impact and technical feasibility.

Design, develop, and execute manual and automated tests for front-end, back-end, APIs, and large-scale services. Build and maintain automated test suites and frameworks (Java, JUnit, Selenium, TestNG), analyze logs, report results, and collaborate with stakeholders; ensure test coverage across devices and drive test strategy and sign-off.

Design, develop, and maintain scalable, high-performance backend and middleware services on the JVM using Java and Spring/Spring Cloud. Build and enhance microservices, work with AWS and Docker, implement SQL/noSQL solutions (MySQL, Elasticsearch), use Git-based source control and JIRA, collaborate across engineering, design, and QA, and mentor teammates while following best practices and Agile methodologies.

Leads enterprise application engineering strategy, modernization, integration, escalated support, governance, and operational resilience across ERP, HCM, SIS, finance, and related platforms. Oversees directors, architects, and engineering teams; manages budgets, vendors, lifecycle planning, incident response, quality, releases, cybersecurity alignment, and continuous improvement. Partners with business and technology stakeholders to deliver scalable, secure, maintainable solutions while developing workforce capability and organizational effectiveness.

Leads engineering strategy, modernization, integration, reliability, governance, and support for academic technology platforms including LMS, course management systems, virtual labs, and instructional applications. Oversees technical teams, budgets, vendors, application lifecycle management, incident response, accessibility, cybersecurity alignment, and operational excellence. Partners with academic, business, architecture, cybersecurity, data, and IT operations stakeholders while developing engineering talent and advancing scalable, secure, and reliable teaching and learning solutions.

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.

Own net-new enterprise sales to AI-native companies and large enterprises. Run complex multi-stakeholder deals end-to-end: build champions, construct business cases, negotiate multi-year contracts, manage procurement, partner with product/engineering, maintain pipeline and CRM, forecast accurately, and travel periodically for accounts and events.

Build and maintain reproducible data pipelines, experiment orchestration, CI/CD for models, Terraform-based ML infrastructure, observability, security controls, and automation to deploy and operate ML systems in production.

Own the full enterprise sales cycle for AI document intelligence solutions sold to law firms and corporate legal teams. Manage complex, multi-stakeholder deals involving legal, IT, security, procurement, and executive buyers. Build pipelines, conduct discovery, lead demos and proofs of value with sales engineering, navigate security and deployment reviews, maintain accurate forecasts, and provide market feedback to product and leadership.

Designs, develops, and deploys enterprise applications using Java, Spring Boot, microservices, REST APIs, cloud services, databases, DevOps tools, and Angular or React. The role also involves AI exposure with Python, LangChain, and LangGraph, along with application security, monitoring, performance, deployment, and collaboration with project teams. The position is onsite in McLean, Virginia.

Support data-driven decision-making by collecting, cleaning, and analyzing structured and unstructured data, performing EDA, assisting in building and validating ML and statistical models, creating visualizations and dashboards, documenting findings, and collaborating with cross-functional teams.

Design and govern end-to-end data architecture for an integrated supply-chain e-commerce platform: create data models, build scalable ETL/ELT pipelines, ensure GDPR-compliant data governance, enable real-time analytics, optimize databases, plan retention/archival, and prepare data for LLM fine-tuning and RAG use cases.

Design, build, and deploy autonomous AI agents using LLMs and agent frameworks; integrate agents into e-commerce and supply chain systems; implement multi-agent orchestration, memory and tool integrations; fine-tune models and apply RL concepts; and build safety, monitoring, and MLOps pipelines.

Support social media presence by creating, editing, scheduling posts; engaging followers; tracking analytics; helping run campaigns; maintaining content calendars and healthcare-relevant, compliant content.

Lead nationwide business development for electronic recycling, managing and coaching BDMs, building partnerships (OEMs, ITAD, municipalities), driving revenue growth, expanding markets, and ensuring compliance with industry standards and sustainability goals. Provide forecasts and collaborate with Operations, Marketing, and Compliance.