Top Tech Jobs & Startup Jobs in Austin, TX

Design and build a production-grade AI memory and retrieval engine for personalized, privacy-preserving LLM experiences. Responsibilities include developing multi-tier storage and hybrid retrieval pipelines, memory extraction and classification, adaptive updates, evaluation frameworks, and reliability safeguards. The role researches advanced memory architectures, supports agentic workflows and tool integrations, collaborates with product management, and owns production operations. Strong software engineering, Python, NLP/ML, vector database, LLM orchestration, privacy, and RAG expertise are required.

Owns ServiceNow Automated Test Framework coverage for releases, upgrades, features, and configuration changes. Designs, maintains, and executes automated regression suites; integrates testing with CI/CD and DevOps workflows; troubleshoots failures; manages test data and environments; translates requirements into test scenarios; reports coverage and release-readiness metrics; and performs manual testing when automation is unsuitable. Collaborates with developers, business analysts, and release managers in Agile environments.

Build and scale secure data lakehouse and warehouse infrastructure supporting analytics, machine learning, clinical AI performance monitoring, and self-service insights. Develop scalable data pipelines, models, orchestration, quality controls, and LLM-enabled analytics tools using heterogeneous clinical and EHR data. Collaborate with engineering, data science, clinical, product, and client success teams to establish trustworthy metrics and technical solutions.

Supports testifying experts in antitrust and damages litigation by designing econometric models, conducting statistical analyses, cleaning and analyzing real-world data, and preparing reports and exhibits. The role manages analytical workstreams, reviews work quality, mentors junior staff, conducts independent research, and communicates complex economic concepts to attorneys, clients, and experts.

Leads customer engagement and execution for government and industry defense programs from award through demonstration, delivery, and fielding. Owns schedules, budgets, milestones, risks, contractual commitments, customer relationships, cross-functional coordination, demonstrations, test events, deployments, reporting, and proposal support. Requires strong defense acquisition knowledge, program leadership, communication, and the ability to manage complex priorities in a fast-growing defense technology company.

Supports marketing programs including consumer growth, email, social media, events, webinars, and sales enablement. Creates campaign materials and social content, builds outbound sequences, maintains contact lists, tracks campaign performance, prepares reports, coordinates event logistics, and collaborates with Sales, Product, and Customer Success. Uses AI tools for content creation and campaign analysis.

Sell Flai’s AI-native sales CRM to automotive dealerships and dealer groups. Responsibilities include prospecting, discovery, tailored demonstrations, pilot design, proposals, negotiation, closing, expansion, pipeline management, forecasting, and customer handoff. The role requires evaluating dealership sales workflows, managing CRM replacement concerns, coordinating data migration and rollout plans, and providing competitive feedback to product and founders. This is a remote position with deal-related travel.

Strategists apply political research, data, and tools to provide actionable guidance to Democratic campaigns and progressive organizations. They build trusted relationships with candidates and senior staff, address ambiguous needs proactively, operate in fast-changing election environments, present recommendations, and help improve tools for the 2028 election cycle. The role may be full-time, part-time, contract, project-based, or a short-term fellowship.

Owns Kestra’s enterprise data platform, Microsoft Fabric transition, data architecture, governance standards, and Master Data Management program. Leads platform reliability, semantic models, self-service BI enablement, data protection, compliance, vendor resources, and technical teams. Advises executives and functional data owners while preparing governed data assets for AI, automation, and enterprise reporting.

Leads enterprise AI transformation initiatives, initially focused on Accounting and Finance. Assesses processes, builds and manages an AI roadmap, develops business cases, oversees cross-functional implementations, manages vendors and budgets, drives adoption, and measures productivity, cost, accuracy, and ROI improvements.