Senior Technical PM, Applied AI

• Own the product strategy and multi-quarter roadmap for the Agents platform
• Tie roadmap decisions to measurable business outcomes such as autonomous resolution rate, cost per resolution, CSAT, revenue expansion and competitive wins
• Work directly with enterprise customers, Customer Success, Delivery and Sales to identify high-value problems
• Translate customer needs into problem statements, PRDs, user stories, success metrics and dependency maps
• Drive alignment across engineering, research, data science, QA and go-to-market teams on scope, dependencies and launch readiness
• Run quarterly roadmap inputs, monthly scope locks, weekly execution reviews and launch readiness sign-offs
• Own launch checklists, instrumentation, enablement and success criteria; track adoption and publish monthly Agent Outcomes readouts
• Run monitoring windows and post-incident reviews and feed learnings into the roadmap
• Own agent reasoning and orchestration, tool and API use, memory and context, human-in-the-loop workflows and enterprise governance
• Work with AI labs and model providers to test new models and capabilities and provide evidence-based feedback
• Build experiments, prototypes and agents connected to real systems through APIs and MCP tools
• Run offline tests, shadow-mode testing and canary releases with clear decision criteria
• Define Agent Readiness Scorecard and Go/No-Go criteria; design evaluations for task completion, tool success, policy compliance, latency and cost
• Debug production agent failures, identify root causes and ensure serious failures receive fixes and regression tests
• Inform model selection and routing decisions using quality, latency and cost data

• Roughly 4–8 years of relevant experience, ideally from a deeply technical product role, applied AI engineering or research engineering with clear product ownership
• Proven ownership of a complex technical product area, with features delivered to enterprise customers and measurable business results
• Strong product judgment and ability to prioritize, work with customers and get capabilities shipped
• Customer-first approach and ability to turn enterprise needs into clear, actionable requirements
• Excellent communication skills to align engineering, research and go-to-market teams and present clearly to executives
• Comfortable vibe coding, building agents, connecting APIs and MCP tools, designing evaluations and debugging production failures
• Deep understanding of LLM reasoning, tool calling, multi-step task execution, orchestration patterns, evaluation methods and production observability for agents
• Technical fluency with APIs, cloud environments and AI deployment workflows
• Experience shipping AI agent products at a conversational AI or enterprise AI platform company is nice to have
• Direct experience working with AI labs or model providers is nice to have
• Familiarity with agent frameworks and protocols such as LangGraph and MCP, and with voice AI is nice to have
• Experience in regulated or mission-critical industries and with large SI partners is nice to have
• Public work such as a repo, demo, blog post or talk is nice to have

• Full-time employment
• Equal opportunity employer committed to diversity in the workplace