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The Software Engineer will lead the development of Baseten Voice AI, focusing on real-time model serving systems, collaboratng with teams on architecture and implementation.

The GTM Engineer will design and implement AI-powered workflows for sales and marketing, manage data strategies, and optimize tech stacks while maintaining productivity and efficiency.

The AI Solutions Engineer will develop and deploy AI applications, working closely with customers to translate business goals into reliable services, while being involved in project management and product specifications.

As an Applied AI Inference Engineer, you will architect, build, and deploy AI applications, collaborating with customers throughout the development and deployment process, and enhancing ML projects.

As a Senior Software Engineer, you will manage Baseten's billing and revenue infrastructure, ensuring reliability and collaboration with finance and sales teams while evolving the billing platform.

Own and scale Baseten's paid acquisition engine: build funnel analytics and dashboards, design experiments across channels and creatives, scale high-performing campaigns to grow qualified pipeline while reducing CAC.

Support company-wide financial planning, forecasting, and budgeting. Build and maintain financial and operating models. Prepare board and investor materials, analyze ARR, gross margin, usage, and retention. Evaluate investments, pricing, acquisitions, and strategic initiatives. Drive ad hoc market analysis and improve reporting, dashboards, and finance operations.

The Integrated Marketing Manager will lead multi-channel campaign strategies, project management, performance measurement, and collaborate across teams to enhance engagement and drive sales pipeline.

Own and operate Baseten's internal AI stack, build and deploy custom AI agents and LLM-powered tools, evaluate third-party AI developer tools, instrument usage and measure impact on engineering productivity, and support engineering teams in adopting AI workflows.

Partner with Sales and customers to run technical discovery, lead demos and scoping, design repeatable ML inference deployments across modalities, benchmark inference performance, and drive POC execution and stakeholder alignment.