AI Product ManagerDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs. Collaborate with cross‐functional teams, including engineering, design, and marketing, to develop and launch AI‐powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data‐driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.Agent Builder Product ManagerDefine the agent building experience by shaping how users move from idea to implementation across journeys, chat, and workflows, creating clear abstractions for building complex agent behavior without unnecessary friction. Own the Agent Development Life Cycle by designing how users analyze conversations, make changes, test improvements, and release updates. Build simulation and testing systems to define how agents are validated before deployment. Design reusable systems through packages by defining how integrations, skills, and agent behaviors are packaged, discovered, and reused. Integrate AI copilots into the workflow by working closely on how Ghostwriter (build) and Explorer (analyze) fit into Agent Builder. Make agent quality measurable and actionable by defining evaluation frameworks and feedback systems.Voice Interaction Model Product ManagerDefine the voice interaction model by shaping how agents handle real‐time conversations including turn‐taking, interruptions, latency, tone, and recovery from errors. Design what "human‐quality" voice interaction means in practice. Build reliable real‐time systems by working closely with engineering on streaming architectures, latency budgets, and failure handling. Own the voice stack experience by partnering across ASR, TTS, LLMs, and telephony integrations, deciding on model choices, orchestration strategies, and component integration. Make voice measurable and improvable by defining evaluation metrics such as latency, interruption handling, resolution rate, and conversation quality. Translate real‐world usage and edge cases into product direction by working closely with customers deploying voice agents in production.Agentic Systems Product Manager – AxionThe Product Manager is responsible for owning the vision, strategy, and roadmap for Axion's agentic systems, which are AI‐driven workflows that autonomously detect issues, investigate root causes, and surface insights across customers' product data. Partner with Engineering and AI/ML teams to design and ship agentic pipelines that reason across heterogeneous data sources, define how agents orchestrate tasks, and ensure agentic outputs are explainable and trustworthy. Collaborate with customers, Solutions, and Operations teams to understand workflows and translate them into product requirements. Build the short and long‐term roadmap by integrating customer feedback, emerging AI research, internal data, and strategic initiatives. Measure the impact of agentic features on key outcomes and iterate based on learning. Guide prioritization and ensure focused, high‐impact product development.Senior Product Manager – Enterprise & User Management (Gong)The role involves owning Gong's internal AI operating model and driving internal digital transformation by bridging high‐level business discovery with deep technical execution. Define the internal AI roadmap in partnership with Security, Legal, and business leaders; operate the enterprise AI stack including LLMs, vector databases, and gateways; enforce consistent patterns for tool calling, prompt versioning, state management, and error handling; manage the full model lifecycle from evaluation to deprecation. Proactively interview teams to identify manual workflows for automation via agentic AI, build and deploy proofs of concept, manage token procurement, build forecasting/chargeback models, and monitor service level agreements, usage, costs, and error rates.Product Manager – GhostwriterDefine how humans interact with software in the agent era, owning the end‐to‐end product experience from prompt to agent to outcome. Shape workflows for drafting journeys, running simulations, analyzing conversations, and improving agents using natural language. Balance autonomy and control by designing human‐in‐the‐loop patterns such as approval flows, change review, and workspace isolation. Partner closely with AI/ML and platform engineering teams to collaborate on model selection, harness engineering, execution architecture, and evaluation/testing infrastructure. Act as the voice of the agent builder by understanding pain points of CX managers, agent developers, and technical teams configuring journeys, integrations, and simulations.#J-18808-Ljbffr