Top Tech Jobs & Startup Jobs in Austin, TX

Senior Product Designer shaping AI agent platforms for developers and enterprise users. Responsibilities include defining product direction, designing and prototyping coded experiences across command-line, web, console, collaboration, onboarding, and documentation surfaces, developing design systems, conducting user research and usability testing, analyzing product analytics, creating data visualizations, and collaborating with Product, Engineering, design, and go-to-market teams.

Own and build the AI Simulation marketing operations and analytics function, including martech architecture, campaign instrumentation, attribution, funnel reporting, lifecycle programs, lead scoring, data governance, and Salesforce integrations. Partner with Marketing, RevOps, Sales, Finance, and Product to establish trusted measurement, connect marketing activity to pipeline and revenue, and improve investment decisions through reporting and actionable insights.

Leads SandboxAQ’s global marketing events and thought-leadership program, overseeing approximately 40 annual virtual and in-person events. Responsibilities include developing event strategy, managing vendors and logistics, owning budgets and infrastructure, generating and measuring leads and pipeline through Salesforce and Marketo, reporting performance, and coordinating with Sales, executives, marketing teams, agencies, and external partners. The role also manages event materials, shipping, swag, inventory, and scalable processes.

Own and develop SandboxAQ’s intellectual property function, including patent portfolio strategy, invention harvesting, prosecution, lifecycle management, outside counsel oversight, freedom-to-operate analyses, trademark clearance, and trade secret programs. Partner with scientists, engineers, and business teams to protect innovations, inform product strategy, support transactions, and build scalable IP processes in a fast-growing AI-focused company.

Technical leader for Platform & Infrastructure building scalable, resilient cloud-native systems to support large AI workloads. Define architecture, mentor engineers, solve systemic infrastructure bottlenecks, design foundational platform services, and collaborate cross-functionally to ensure secure, high-performance operations.

Lead architecture and scaling of cloud-native infrastructure to support large AI workloads. Mentor engineers, decompose complex systems, design foundational platform services, and collaborate with product, research, and security teams to ensure secure, performant, and highly available GPU/ML infrastructure.

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.

Conduct background investigations and personnel risk analyses for the insider threat program. Use OSINT and commercial investigative tools to verify information, assess source credibility, quantify risk, and prepare clear reports and recommendations. Partner with HR, Legal, and Information Security to identify and mitigate personnel security risks, protect sensitive data, refine investigative methodologies, and ensure compliance with privacy laws, regulations, policies, and ethical standards.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The role involves managing the ML lifecycle, developing scalable ML systems, and collaborating on AI-first product solutions focusing on Large Quantitative Models.