Top Tech Jobs & Startup Jobs in Austin, TX

PhD-level AI Engineering intern to apply machine learning to large-scale intraday and tick financial data. Responsibilities include alpha generation, portfolio optimization, risk modeling, data preprocessing, and collaboration with researchers to deploy robust ML models for trading.

Originates business-purpose loans, including DSCR rental, bridge, fix-and-flip, and private lending products. Builds and manages a pipeline from company leads, referral partners, investors, brokers, and self-generated prospects. Assesses borrower needs, explains loan structures, maintains compliance, and meets production and quality goals in a call-center environment.

Develop and deploy AI and deep learning models for antibody drug design, including test-time compute strategies, multi-objective optimization, target-specific design, and protein structure prediction. Analyze in silico and in vitro validation results, improve design methodologies, publish high-impact research, collaborate across computational and experimental teams, and communicate findings to interdisciplinary audiences.

Own sales and revenue operations execution, including territory and compensation administration, Salesforce enhancement coordination, CRM data governance, sales training, pipeline hygiene, forecasting support, KPI reporting, order and backlog tracking, revenue reconciliation, contract monitoring, and new-hire systems provisioning. Partner cross-functionally with sales, finance, manufacturing, and logistics teams in a remote, scaling organization.

Lead the architecture, design, implementation, and support of Saviynt Identity Governance and Administration solutions. Responsibilities include designing identity lifecycle, access governance, provisioning, role management, and segregation-of-duties processes; integrating applications through APIs and directories; troubleshooting and optimizing IAM platforms; gathering customer requirements; conducting workshops; recommending best practices; and mentoring technical project teams.

Own strategic enterprise deployments of production agentic AI systems, including multi-turn voice and digital agents, retrieval pipelines, integrations, guardrails, monitoring, evaluation, and ROI measurement. Support pre-sales demonstrations and proof-of-concept builds while translating customer feedback into product and engineering roadmap improvements. The role requires hands-on production coding, customer-facing technical leadership, and comfort operating in an emerging forward-deployed engineering function.

Lead the design, configuration, development, and integration of Guidewire PolicyCenter, BillingCenter, and ClaimCenter solutions in cloud environments. Troubleshoot complex issues, optimize performance, enforce development standards, guide technical teams, collaborate on end-to-end implementations, and support commercial and personal insurance lines of business.

Quota-carrying Mid-Market Account Executive selling DIDOS invoice-matching SaaS to UK & Ireland retailers. Own full sales cycle from prospecting and demos to negotiation and close, build C-suite and functional relationships, expand accounts with ERP integrations and analytics, manage pipeline, and collaborate with product and engineering.

Own marketing for Quilt’s Certified Partner network, including partner campaigns, promotions, training, newsletters, social channels, marketing assets, and product adoption campaigns. Collaborate with Partner Success, Sales, and Product to increase partner engagement, homeowner leads, installs, and software adoption. Manage execution independently while measuring channel performance and optimizing content and campaigns for partner growth.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.