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The Product Manager will own and develop AI agent capabilities, manage integrations, and facilitate customer onboarding, ensuring product effectiveness and adoption.

Own a defined product surface, become an expert on agent behavior and integrations, diagnose issues, run a support queue as product research, feed prioritized customer insights to PMs, create enablement (docs, webinars, demos), support sales, and perform market research to shape roadmap and deployments.

Own technical pre-sales end-to-end: run demos on real data, scope and build integrations, lead multi-week POCs, write SOWs, hand off to deployment, and drive product feedback across Sales, Product, and Engineering.

Lead architecture and technical direction across the full stack, solve ambiguous cross-cutting problems, deploy LLM-powered features into production, improve reliability and scale, mentor engineers, and make strategic build/buy and platform decisions that shape long-term product delivery.

The Engineering Manager will oversee engineering execution, manage people development, and improve developer experience while owning delivery for channels and analytics. This role involves running 1:1s, organizing backlogs, unblocking engineers, and engaging with engineering leadership.

Own end-to-end full-stack features and systems (frontend, backend, infra). Ship reliable, high-performance, scalable microservices and LLM-powered customer workflows on AWS, partner with product, make architectural decisions, improve CI/CD and infrastructure, and mentor peers.