Top Tech Jobs & Startup Jobs in Austin, TX

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Owner of high-impact data products for corporate clients: design and run QA processes, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, communicate with stakeholders, and identify opportunities to automate and improve workflows while mentoring peers.

Lead AI product strategy for investor workflows, building AI-native products (agents, copilots, MCPs, APIs) that turn proprietary data into reliable, production-grade investor tools. Partner with customers, engineering, design, and research to run experiments, define quality/trust frameworks, and ship 0→1 products that automate and augment investment decision-making.

Own and QA high-impact retail data products: design and run QA, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, improve automation and product reliability, and communicate methodology and limitations to clients.

As a Product Manager, you will drive the strategy, roadmap, and execution of data feed products, ensuring they meet both internal and external client needs. Responsibilities include P&L accountability, collaboration with cross-functional teams, overseeing data quality, and enhancing client delivery experiences, while contributing to product vision and market strategy.

The Head of Software Sector will develop sector strategies, drive financial performance, lead teams, and enhance product offerings based on customer insights.

The Business Development Associate will engage new clients, qualify sales leads, and develop outbound sales skills utilizing various communication methods, while collaborating with Product and Sales teams.

Target and break into large enterprise accounts (>$100M software spend) using outbound prospecting (cold calls, emails, LinkedIn) to generate meetings with procurement leaders. Use modern sales tools, collaborate with sales leadership and enablement, refine messaging, and develop toward full end-to-end sales responsibility.

As Commercial Counsel for SpendHound, you'll negotiate and close contracts, enhance processes, and collaborate with commercial teams while providing legal guidance.

Lead a global, hands-on data engineering team building large-scale Databricks/PySpark pipelines, production datasets, customer-facing data feeds, AI-ready analytical datasets, and data quality/observability systems. Partner cross-functionally, use AI coding tools to accelerate delivery, and ensure operational excellence, reliability, and documentation for investor-facing products.