Top Tech Jobs & Startup Jobs in Austin, TX

The Support Operations Engineer will execute and maintain enablement content for onboarding and training in a SaaS environment. They will manage content delivery, track progress, and improve instructional materials based on feedback and performance metrics.

The GCP Compliance & QA Consultant will manage quality assurance projects, ensure compliance with regulations, provide training, and support marketing efforts while promoting customer satisfaction.

As a Sales Executive, you will handle incoming clients, guide them through recruitment processes, maintain relationships, and identify upselling opportunities.

The Customer Success Manager ensures customers achieve measurable outcomes using the SQREEM platform by driving outcomes, providing strategic advice, managing customer health, and expanding revenue within accounts.

The Sales Executive will manage the sales process for healthcare solutions, develop business relationships, and lead the bid processes while analyzing market trends.

The Technical Solutions Manager develops and manages utility-scale battery energy storage solutions, focusing on power-side technologies such as inverters and medium voltage equipment, leading technical evaluation, collaboration across teams, and ensuring compliance with industry standards.

The Import Specialist I processes customer data, manages customs clearance, resolves issues, and ensures compliance with government regulations.

We seek fashion-loving content creators to promote LIKI BRAND products on social media, earning a competitive commission per sale with no upfront costs.

Manage and optimize state-specific auto insurance products by setting rates, customizing offerings, monitoring KPIs, analyzing performance, coordinating with actuarial, regulatory, underwriting, and cross-functional teams, and managing external regulatory relationships to drive profitable growth.

Own and implement the canonical data model and governance for a multi-tenant MEP SaaS platform. Architect data for AI/ML readiness (RAG, embeddings, vector search), design polyglot persistence and lake/lakehouse pipelines, lead staged modernization and migrations, produce hands-on prototypes and in-repo guardrails, and partner with platform, DB engineering, and ML teams to ensure data quality, lineage, and observability.