Top Tech Jobs & Startup Jobs in Austin, TX

Handle inbound calls from prospective and current clients about immigration services, guide callers through options and the Manifest portal, document interactions, route and escalate inquiries to attorneys, sales, billing, or case teams, and support clients with uploads and appointment scheduling.

Develop and own performance-driven creative strategy for eCommerce brands: analyze campaign data, build testing roadmaps, create hooks/scripts/messaging, brief visual creators, review assets, provide performance-focused feedback, and collaborate with media buyers and clients to iterate and drive commercial results.

The VP of Enterprise Systems leads the enterprise application landscape, aligning technology with business priorities to enable growth and operational excellence.

The Senior Associate will conduct financial analysis, manage M&A activity, support strategic investments, and prepare presentations for leadership at Thrivent.

Lead full NetSuite implementations, consult on business improvements, manage engagements, train clients, and collaborate on custom solutions.

Lead and scale a global sales development function to generate pipeline and revenue. Own inbound/outbound strategy, AI-enabled workflows, sales technology selection, ABM and intent-data-driven prospecting, cross-functional GTM alignment, and recruitment/coaching of a high-performing BDR team to improve conversion and operational efficiency.

The Partnership Manager will activate new partners, integrate Leap's services into workflows, and manage relations to drive growth and revenue impact.

The Sales Executive will drive new business for a neurotechnology startup, building relationships with clinicians, exceeding sales targets, and collaborating with various teams to enhance offerings.

Lead Growth Marketing strategies at Nabla, focusing on customer acquisition, campaign execution, and data-driven insights to improve the journey of healthcare providers.

The Machine Learning Researcher will design datasets and evaluate environments for agentic systems, focusing on data quality and benchmarking model performance in RL settings. They will collaborate with teams to translate workflows into evaluative frameworks and improve the understanding of high-quality datasets.