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The role involves leading the design and implementation of backend systems for AI research agents, guiding teams, and improving system reliability. Requires strong Python skills and experience in production environments.

Develop product positioning, messaging, and go-to-market strategy for Autoscience's AI research systems. Create sales enablement and customer-facing materials, conduct market and competitive research, collaborate with research, engineering, sales, and leadership, and communicate product value to customers, partners, and the AI community.

Develop and maintain back-end systems, create software solutions, and support production infrastructure while collaborating with research teams.

Develop and implement AI systems for automated research, collaborate on production-ready models, publish research, and stay updated on AI trends.

Manage program status across engineering and research, translate customer commitments into internal priorities, remove blockers, create sequenced plans with technical leads, communicate progress and risks to leadership, and ensure reliable shipping of production-ready work.