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Provide in-house IT support and operations for a fast-growing AI company: troubleshoot Mac and Windows hardware/software, manage user lifecycle and access, onboard employees, maintain office IT and AV infrastructure, run asset procurement and inventory, build self-serve knowledge resources, automate workflows, and assist with systems administration across cloud services.

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.

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.

The Sales Manager will lead a team of Account Executives, drive revenue growth, define go-to-market strategies, and collaborate cross-functionally to align products with customer needs.

As a Forward Deployed Engineer, you will develop and maintain ML solutions, collaborate with teams on AI/ML pipelines, and manage projects end-to-end.

The Sales Development Representative will engage with potential customers through various channels to build a qualified sales pipeline and collaborate with the sales team.

Lead and mentor a team of Forward Deployed Engineers in building and optimizing LLM inference workloads, delivering high-performance AI applications, and collaborating with cross-functional teams.

The Post-Training Research Scientist will focus on both pure and applied research in post-training methodology and inference, designing experiments, publishing findings, and collaborating with engineering teams to advance machine learning models.

As an Account Executive, you'll prospect and close new business, consult with customers, and develop sales strategies in a fast-paced startup environment.

The role involves developing and managing infrastructure for distributed LLM inference systems, ensuring performance and usability, debugging complex systems, and collaborating with performance engineers.