Top Tech Jobs & Startup Jobs in Austin, TX

The Senior Financial Analyst supports Enterprise Finance by developing forecasts, strategic plans, financial models, reports, and executive presentations. The role performs business and ad hoc analysis, supports annual operating planning, partners with line-of-business leaders, and communicates insights to senior management and the board. Responsibilities include managing concurrent projects, improving finance processes, analyzing data, and contributing to strategic decisions.

Lead the development and operation of a used car super store, overseeing inventory, pricing, sales processes, customer experience, staffing, vendor relationships, compliance, marketing collaboration, and financial performance. The role requires at least five years of automotive sales experience, used-car expertise, leadership ability, analytical skills, dealership software proficiency, and a valid clean driving record.

Paid summer software engineering internship supporting underwater vehicle simulator development. Responsibilities include Unity and simulation development, 3D modeling, documentation, testing, requirements gathering, presentations, and collaboration with project teams and clients. Candidates will apply classroom knowledge while working with a mentor in a hybrid Austin-based environment.

Manage operations for private debt, commercial real estate, hedge fund, and private equity investments. Oversee trade settlements, loan lifecycle activities, income collection, cash controls, capital calls, restructurings, outsourced providers, deal documentation, and non-standard transactions. Partner with portfolio management, finance, legal, compliance, vendors, and banking institutions while improving processes, controls, and service solutions.

Drive sales of John Hancock investment products by managing financial advisor relationships, prospecting for new business, providing product and market insights, attending industry events, and coordinating with internal wholesalers and product specialists. The role manages a territory through frequent client engagement, pipeline development, presentations, follow-up, and optimized travel and entertainment spending.

Leads Revenue Operations across Sales, Marketing, SDR, and Enablement functions. Partners with the CRO on revenue planning, forecasting, territory design, quota setting, pipeline health, executive reporting, and operational cadence. Owns revenue technology, data governance, funnel processes, KPI dashboards, and cross-functional alignment. Builds and manages a multifunctional operations team while improving sales productivity, enablement, forecast accuracy, and scalable go-to-market processes.

Identify customer workflows suitable for automation, recommend and integrate AI agents with engineering partners, and serve as the primary customer contact. The role coordinates training, delivers demos and results to strategic audiences, and feeds customer insights into product strategy. Candidates should have experience selling and implementing complex IT solutions, backend programming ability, strong communication and problem-solving skills, and willingness to travel for deployments and customer engagements.

Leads centralized revenue operations across Sales, Marketing, SDR, Partner, and Solutions Consulting functions. Partners with the CRO on planning, forecasting, territory design, quotas, pipeline health, and executive reporting. Oversees revenue operations, enablement, systems, data governance, KPI dashboards, and cross-functional operating cadences. Builds and manages a multifunctional team while scaling GTM processes, technology, and AI-enabled infrastructure.

Deploys and maintains Python and R data science applications, dashboards, and API models in production. Responsibilities include designing CI/CD pipelines, managing containerized environments, implementing application and model monitoring, supporting cybersecurity and compliance requirements, troubleshooting runtime issues, and optimizing data science platform tooling. The role bridges data science development with enterprise IT infrastructure and requires an active Secret clearance.

Deploys and maintains Python and R data science applications, dashboards, and APIs in production. Responsibilities include designing CI/CD pipelines, managing containerized environments, monitoring application and model performance, supporting cybersecurity compliance, troubleshooting runtime issues, and optimizing data science platform tooling.