Top Tech Jobs & Startup Jobs

The Senior Product Engineer will design and implement features for a training platform, working through the tech stack and collaborating with research engineers to enhance model development and user experiences.

Drive partner ecosystem marketing by shaping partner narratives, creating content (blogs, white papers, solution briefs, case studies), building enablement and sales playbooks, executing co-marketing GTM campaigns with partners, managing partner marketing calendars, and collaborating cross-functionally with product, DevRel, growth, events, and sales teams.

Partner with CRO and Revenue Operations to design GTM planning, territory coverage, quota frameworks, and pipeline-generation models. Build analytics, forecasts, and dashboards; support field execution, experimentation, and scaling of GTM motions. Translate data into actionable narratives and operationalize successful experiments into repeatable playbooks.

Build and maintain responsive, accessible frontend interfaces using React and TypeScript. Collaborate with product, design, and backend teams to launch performant, scalable UIs, create reusable component libraries, define APIs, mentor engineers, and drive frontend best practices.

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.

The GPU Kernel Engineer will design and implement high-performance GPU kernels, optimize code, and collaborate with research teams to enhance AI workloads.

Lead development of enterprise platform features focusing on infrastructure, security, and compliance for enterprise customers. Oversee projects, collaborate cross-functionally, and mentor engineering teams.

As an AI Support Engineer, you'll manage support requests, resolve user issues, optimize ML models, and contribute to product development.

The Customer Marketing Manager at Baseten will oversee customer co-marketing initiatives, manage evidence assets, and develop marketing channels to highlight customer success stories, ensuring alignment with technical audiences.

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.