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The Product Marketing Manager will position and launch Relevance AI's Agent platform, translating complex capabilities into value stories, executing go-to-market strategies, and collaborating with cross-functional teams to drive customer adoption.

Own and evolve the AI-native platform and developer experience: build CI/CD, build/test/deploy loops, agent-safe sandboxes, cloud infra and cost controls, SLOs and observability, incident response, and platform capabilities that multiply engineering productivity across teams.

Lead technical direction for AI-native agent products, solve high-leverage engineering problems, improve reliability and evaluation, partner with product and customer teams, mentor engineers, and ship production-grade autonomous agent features rapidly.

Build and ship AI-native, agentic products end-to-end: design LLM-powered workflows, prototype with frontier models, collaborate with product/design/customers, ensure reliability through continuous shipping and on-call ownership, mentor engineers, and iterate based on customer feedback to scale intelligent agents into production.

Lead a 4–8 person AI-native engineering team to deliver production agent orchestration features. Coach engineers on product thinking, agentic workflows, and eval practices; remain hands-on in code, ensure quality and reliability, run postmortems, and hire top talent.

Partner with customers to identify high‑value AI agent use cases, scope and lead end‑to‑end deployments, drive adoption and change management, measure ROI and scale successful automations while aligning executives, product, and engineering.