Top Tech Jobs & Startup Jobs in Austin, TX

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Provide technical support, training, troubleshooting, and customer assistance through ticket, phone, and chat channels. Build and maintain customer documentation, tutorials, and training materials. Advocate for customers by gathering feedback, escalating issues, identifying trends, and collaborating cross-functionally. Help establish scalable support processes, monitor support metrics, and improve customer satisfaction, retention, and software adoption.

Supports laboratory instrument sales across the Central Region by demonstrating products, prospecting, following up on leads, preparing quotations, managing customer relationships, and coordinating key accounts. Uses Salesforce for opportunity management and reporting, develops territory sales plans, presents to professional organizations, and learns scientific principles related to metallurgical, spectroscopy, thermal, and elemental analysis equipment.

Collect, clean, and analyze sports data; develop machine learning and predictive models; create visualizations and reports; collaborate with data and sports strategy teams; and monitor advances in sports analytics.

Manage client and influencer relationships, oversee campaigns from pitching through delivery, identify upselling and creative expansion opportunities, and coordinate cross-functional execution. The role requires fluent English and Italian, strong communication and influencing skills, adaptability, relationship-building, and proficiency with Notion and CRM tools such as HubSpot. This is a remote European position with occasional travel.

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.

The Video Editor will create and optimize engaging video content for various platforms, focusing on retention and storytelling, while collaborating with the team and experimenting with content strategy.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Build and own Snout’s data foundation, including PostgreSQL and dbt warehouses, ingestion pipelines, dimensional models, data quality, documentation, and reliable rebuilds. Reconcile data from veterinary practice-management systems, support LLM/AI tooling, translate stakeholder needs into technical plans, and establish the foundation for a future data team and analyst.

Leads and coaches a product marketing team while owning go-to-market strategy, positioning, messaging, market research, persona development, competitive intelligence, and sales enablement for Benevity’s enterprise platform. Partners with Product, Sales, Customer Success, Content, Website, and Demand Generation teams to align strategy, deliver customer insights, support launches, and strengthen the buyer journey.