Top Tech Jobs & Startup Jobs in Austin, TX

Owns enterprise AI platforms, including tenant administration, LLM gateways, MCP integrations, agentic workflows, cloud AI workloads, security, governance, cost monitoring, and adoption. Builds integrations and internal tooling primarily in Python and TypeScript across AWS and GCP. Partners with cybersecurity, AI governance, finance, and executives to enforce policies, operate reliable systems, and report on usage, performance, and spend.

Own complex, multi-team technical programs from inception through sustained operation. Partner with engineering leadership on architecture, integrations, dependencies, requirements, delivery forecasting, and operational excellence. Use AI copilots, automation, and analytics to improve planning, backlog refinement, reporting, risk identification, stakeholder communication, and retrospectives. Mentor TPMs on AI-augmented workflows while maintaining appropriate human oversight.

Own B2B paid acquisition end to end across multiple channels, including ad copy, static and video creative, landing pages, campaign launches, testing, budget management, tracking, and pipeline results. The role requires personally creating ads, using AI to produce creative variants, analyzing performance, and collaborating with founders, engineers, and customers to refine messaging for technical enterprise buyers.

Own the product organization’s operating system, including planning cadence, roadmap management, goal tracking, reporting, product development standards, launch readiness, customer insight systems, PM onboarding, training, tools, and team practices. Partner with product leadership, data, marketing, sales, success, and engineering to improve team effectiveness, visibility, and decision-making as the company scales.

Own the product organization’s operating system, including planning cadence, roadmap management, goal tracking, reporting, product development standards, launch readiness, customer insight systems, PM onboarding, tooling, and team development. Partner with product leadership, data, marketing, sales, success, and engineering to improve product execution and organizational effectiveness.

Manages dealership client success by driving adoption and utilization of CDK products, increasing customer value, reducing churn, and identifying revenue opportunities with Sales. Provides product guidance, training strategies, risk mitigation, reporting, presentations, and support resource direction. Maintains dealership relationships, retains at-risk clients, documents engagements in Totango, and travels up to 50% while driving up to 25%.

Provide high-volume, multi-channel customer support for patients, caregivers, and prescribers: answer inbound calls, make outbound calls, process orders, resolve escalations, maintain records, gather feedback, and collaborate with internal teams to ensure accurate, compliant order fulfillment.

Conduct threat hunting across exploitation and attacker infrastructure data, investigate payloads and malware, develop detections and automation, and produce actionable threat intelligence. The role involves analyzing PCAPs, network traffic, vulnerabilities, and large datasets; writing Suricata/Snort rules and Nuclei templates; publishing research; presenting findings; and establishing VulnCheck’s threat hunting methodology and capabilities.

Lead the design, training, evaluation, and deployment of large-scale machine learning models, including LLMs, diffusion models, and GNNs. Own distributed training pipelines, dataset interfaces, optimization strategies, model evaluation, serving, and lifecycle management. Collaborate with data, infrastructure, and scientific teams while providing technical leadership through architecture reviews, mentorship, and cross-functional decision-making.

Performs quantitative modeling and analysis for annuity, stable value, insurance guarantee, derivative, and retirement investment products. Builds stochastic models, Monte Carlo simulations, derivative pricing tools, historical back-testing frameworks, and scenario analyses. Evaluates risk, returns, guarantees, and asset-liability sensitivities while supporting product design, hedging, governance, and oversight. Develops reproducible Python and SQL analytics pipelines with testing, documentation, data controls, and audit-ready processes. Partners with Product, Asset Management, Derivatives Risk, and modeling teams.