Top Tech Jobs & Startup Jobs in Austin, TX

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The Lead Advisor Development Manager develops and executes training for advisors, improving skills across client experience and financial technology platforms while collaborating with leadership to address learning needs.

The Senior Data Operations Manager leads data integrity and process excellence across sales and marketing, optimizing workflows, managing data governance, and supporting regional projects.

The Chief of Staff will support the CEO by increasing decision velocity and execution quality, managing initiatives, and handling executive communication and fundraising.

The Referral Partnerships Manager will grow patient referrals by building relationships with healthcare providers, schools, and community organizations. Responsibilities include identifying leads, nurturing relationships, and ensuring a steady referral pipeline for ABA therapy and autism diagnosis.

Manager Trainees undergo a 10-12 month program to gain skills in customer service, sales, finance, and operations, aiming for leadership roles.

Develop and maintain applications using MCP and ChatGPT frameworks, optimize AI interactions, and prototype innovative solutions. Collaborate on product architecture with minimal supervision.

The Partnership Development Representative is responsible for generating new business opportunities in healthcare systems by conducting targeted outreach, building relationships, and collaborating with sales and customer success teams.

This role focuses on strategic leadership and operational excellence for specialized clinical research sites, ensuring compliance, financial performance, and team development.

The Global Payroll Manager oversees payroll operations for Care Access, ensuring accurate processing, compliance, vendor management, and process improvements in a multi-entity environment. This role involves collaboration with People and Finance teams and managing payroll regulations across jurisdictions.

The role involves building AI systems for customer support, creating automated insights, and operationalizing AI in workflows while collaborating with engineering and customer solutions teams.