Top Tech Jobs & Startup Jobs in Austin, TX

Provide administrative and account support to clients, brokers, and sales teams: qualify and quote prospects, onboard new clients, handle renewals and changes, maintain sales automation records, coordinate with internal partners, prepare enrollment collateral and presentations, troubleshoot issues, and ensure client satisfaction and retention.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Partner with customers to deploy collaborative robots: perform onsite hardware/software testing, troubleshoot and repair, conduct readiness assessments, document procedures, replace parts/retrofits, and drive project communication to ensure successful long-term adoption.

Lead end-to-end delivery of enterprise AI projects for federal customers, shaping use cases, managing cross-functional teams, ensuring timely scope/budget compliance, driving value realization, identifying expansion opportunities, and refining scalable delivery frameworks while interfacing with C‑suite and working on National Security problems.

Develop, validate, and improve machine learning models (regression, classification, forecasting, optimization). Prepare data, perform feature engineering, train and evaluate models, and support deployment with Data/ML Engineering. Communicate results, document methods, and collaborate on experiments and cross-functional initiatives.

Administer and optimize Salesforce, Gainsight, and Pendo for Brands and Retailers services. Maintain integrations and data consistency, configure AI capabilities, troubleshoot platform and data issues, build scalable automations, and support Services teams to improve adoption and operational efficiency.

Support the sales team by managing client relationships, meeting with clients online to assess needs, following up on leads, reaching out to prospects, and maintaining client data in a CRM to ensure satisfaction and growth.

Design, develop, and support scalable Oracle HCM Cloud solutions including integrations, HCM Extracts, BI Publisher reports, Fast Formulas, and data engineering. Translate requirements, perform testing and root cause analysis, optimize performance, support releases, and mentor technical staff.

Lead design and delivery of Ads Policy infrastructure: define architecture, governance, evaluation, and integrations for ad policy enforcement across campaign setup, creative review, serving, and reporting. Drive cross-team technical strategy, build scalable distributed systems, mentor engineers, and ensure operational excellence for production-critical ad systems.

Executive leader accountable for enterprise marketing strategy and execution. Drives brand, demand generation, sales integration, market expansion, marketing ops/technology, reporting, and team development to deliver measurable revenue and pipeline growth across national and local channels.