Top Tech Jobs & Startup Jobs in Austin, TX

Contract IT System Administrator to manage and harden multi-cloud (AWS/Azure) infrastructure and Microsoft 365 identity/collaboration stack, support endpoints and managed IT/security SaaS platforms, automate routine tasks with scripting, maintain documentation and compliance posture for Department of War mission spaces, and serve as hands-on technical escalation for operational issues.

Lead FP&A activities for the Mission Solutions and Technologies business area, delivering advanced analytics, overhead and G&A planning, forecasting, complex financial modeling, variance analysis, and high-level reporting. Coordinate with subsidiaries and cross-functional teams, support month- and year-end close, guide strategic initiatives, and mentor junior analysts to drive financial performance and affordability.

Lead channel marketing for HTAS customers: develop and execute product, pricing, promotion, and merchandising strategies. Collaborate with Commercial, Product, Supply Chain and Finance to drive sales, profitability and inventory optimization; analyze POS, inventory, market share and promotional effectiveness; manage listings and channel P&L.

Consult with clients to configure and administer Atlassian products, lead cloud migrations and process transformations, run discovery workshops, design tool architecture, create training and enablement materials, and manage multiple client engagements to improve collaboration, service management, and engineering workflows.

Lead regional sales strategy and execution across the Southern US, manage and mentor sales managers and AEs, drive IDN and acute partnerships, maintain pipeline and Salesforce.com reporting, oversee key accounts, expand market presence, and collaborate cross-functionally to meet revenue targets.

Lead and perform formal CMMC Level 2 assessments: plan scope, review SSPs/POA&Ms, evaluate evidence against NIST SP 800-171/172, manage assessment teams, produce defensible findings and reports for Cyber-AB submission.

Own executive relationships at major Oil & Gas accounts, drive the full sales cycle for OpenAI products, identify high-value AI use cases, coordinate cross-functional teams for deployment, manage consumption revenue and forecasts, and inform product and corporate strategy.

Coordinate multidisciplinary engineering execution for self-built data center campuses, integrating civil, electrical, mechanical, utilities, permitting, and construction. Develop integrated execution plans, manage schedules, risks, technical changes, and stakeholder coordination to support commissioning and operational handoff.

Support the marketing team with social copy, creative direction, reporting, and advertising execution across social, email, and paid channels. Learn to read performance data, manage reporting in Google Sheets/HubSpot, and participate in cross-department creative workflows for client channels.

The Senior Marketing Specialist will develop and execute communication strategies to align with business priorities and enhance internal and client communications. This role involves translating technical messages into clear content to support marketing and business development efforts while managing multiple communication campaigns and channels.

Design and deploy enterprise Generative AI systems across the 7-layer stack: data ingestion, preprocessing, model selection, orchestration, inference, integration, and application. Lead model selection/tuning (commercial and open-source), establish LLMOps and observability, integrate AI with cloud platforms, enforce data protection, manage hallucinations/security, and act as onshore technical lead for client workshops and stakeholder alignment.

Design, develop, and deploy NLP and LLM-powered models to extract intent, outcomes, and sentiment from calls, chats, and digital interactions. Translate unstructured interactions into actionable insights, build evaluation frameworks, debug and improve model performance, and hand off production-ready artifacts to data engineering to improve call center efficiency and customer experience.

Design and deploy end-to-end Generative AI systems across the 7-layer stack. Select and fine-tune models, build LLMOps pipelines, implement observability, integrate with cloud platforms and APIs, enforce data protection, and lead stakeholder workshops to translate business needs into scalable, secure AI solutions.