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Build and operate distributed services for an LLM-powered research workspace. Responsibilities include designing systems that coordinate hundreds of thousands of agents, handling race conditions, enabling real-time agent-output transmission, and optimizing write throughput and memory usage. The role requires serving as a primary individual contributor on medium to large projects, deploying production services, and supporting peers with debugging and technical guidance.

Own the full enterprise sales cycle, including prospecting, discovery, demonstrations, pilots, negotiations, closing, and customer activation. Build relationships with C-suite leaders and cross-functional stakeholders, identify workflows where AI agents deliver measurable value, demonstrate ROI, generate pipeline, and drive revenue. Partner with deployment, engineering, and product teams to support successful implementations and translate customer feedback into product improvements.

Build and deploy production AI agents for customers by identifying high-value workflows, integrating CRMs, documents, data warehouses, and APIs, and debugging agent behavior and data quality. Own the technical customer lifecycle from deployment through adoption and expansion, collaborate with technical stakeholders, and translate customer patterns into product improvements. The role combines software engineering, customer engagement, product thinking, and AI systems implementation.

The Product Marketer will create messaging and content for Paradigm's products, collaborate with multiple teams, and engage with customers to enhance narrative and pipeline generation.

The Software Engineer will leverage LLMs, manage distributed services, and help implement solutions to optimize performance in a collaborative office environment.