Top Tech Jobs & Startup Jobs in Austin, TX

The VP of Product Management will lead workflow transformation, ensuring successful delivery of operations products that enhance efficiency and advisor experience. They will guide teams in automation and AI application while developing product leadership within the organization.

The VPII Product Management role focuses on leading IAM product strategy and execution, partnering with multiple stakeholders to deliver scalable solutions that enhance user experience and strengthen security controls.

The Sales Manager will lead and motivate a team of financial advisors, manage sales performance, recruit new talent, and ensure exceptional client service while adapting to fast-paced changes in the financial services industry.

The role involves designing analyses, building machine learning models, conducting causal analyses, and collaborating with data teams to support business strategies.

The Principal Architect leads architecture for the Account Lifecycle Management domain, focusing on data architecture, solution design, and compliance. Responsibilities include defining architectures, guiding cross-functional collaborations, ensuring compliance, and aligning with business outcomes.

The Principal Solution Architect provides technical leadership across the ClientWorks platform, ensuring integration, security, and scalability while mentoring teams on modern architecture practices.

Lead the IAM production reliability team, ensuring uptime, driving incident response, and enhancing systems with AI capabilities while improving operational resilience.

The Premier Operations Specialist supports financial advisors by managing account inquiries, streamlining documentation, and enhancing client relationships while ensuring compliance with regulations.

The Sr Analyst will analyze KPIs, leverage data analytics and AI tools, provide training, and improve user experience to enhance digital product performance.

The VP, Data Product Owner leads the product lifecycle for advisor data, focusing on data modeling, quality, and AI enablement, while ensuring compliance and adopting frameworks for scalable data processes.