AI Product Manager, Rome
Define 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 our products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.
AI Product Manager, Rome
Define 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.
AI Product Manager, Paris
Define 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.
AI Product Manager, Madrid
Define 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 the products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.
AI Product Manager, London
As an AI Product Manager at Air Apps, you will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Responsibilities include defining and driving the AI product roadmap to ensure alignment with business objectives and user needs; collaborating with cross-functional teams including engineering, design, and marketing to develop and launch AI-powered features; conducting market research and analyzing user feedback to identify opportunities for AI integration; working closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact; defining key performance indicators (KPIs) to measure success and iterating based on data-driven insights; staying up to date with AI trends, emerging technologies, and best practices to ensure product competitiveness; and ensuring ethical AI usage and compliance with data privacy regulations.
AI Product Manager, Berlin
Define 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.
Product Manager, Agent Builder
Define 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 to ensure the loop between build, test, and learn is tight, fast, and intuitive. Build simulation and testing systems to define how agents are validated before deployment, creating tools for simulating real-world scenarios, identifying failures, and improving performance with confidence. Design reusable systems through packages by defining how integrations, skills, and agent behaviors are packaged, discovered, and reused, enabling users to compose sophisticated agents from modular building blocks that improve over time. Integrate AI copilots into the workflow by working closely on how Ghostwriter (build) and Explorer (analyze) fit into Agent Builder, deciding what is automated versus user-driven, and how AI augments each step of the workflow. Make agent quality measurable and actionable by defining evaluation frameworks and feedback systems so users can understand performance and systematically improve their agents.
Product Manager, Voice
Define 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 to ensure agents respond quickly and consistently in production environments. Own the voice stack experience by partnering across ASR, TTS, LLMs, and telephony integrations to deliver a cohesive product, 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, and build feedback loops for performance improvement. Translate real-world usage and edge cases like noisy environments, accents, and call flows into product direction by working closely with customers deploying voice agents in production.
Product Manager - Agents
The 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. They partner with Engineering and AI/ML teams to design and ship agentic pipelines that reason across heterogeneous data sources, define how agents orchestrate tasks, when to escalate to humans, and ensure agentic outputs are explainable and trustworthy for enterprise manufacturing teams. They collaborate with customers, Solutions, and Operations teams to understand workflows that agents need to augment or replace and translate these into clear product requirements. The Product Manager builds the short and long-term roadmap for agentic tooling by integrating customer feedback, emerging AI research, internal data, and strategic initiatives to continuously expand Axion's platform capabilities. They measure the impact of agentic features on key outcomes such as investigation speed, issue detection rates, and warranty cost reduction, iterating based on learning. They work with key internal and external stakeholders to guide prioritization and ensure focused, high-impact product development, while maintaining awareness of the big picture.
Senior Product Manager - Enterprise & User Management
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. Responsibilities include defining the internal AI roadmap in partnership with Security, Legal, and business leaders; operating the enterprise AI stack including large language models (LLMs), vector databases, and gateways; enforcing consistent patterns for tool calling, prompt versioning, state management, and error handling; managing the full model lifecycle from evaluation to deprecation. The role also requires proactively interviewing various teams to identify manual workflows for automation via agentic AI, independently building and deploying proofs of concept to demonstrate ROI before scaling, managing token procurement and building forecasting/chargeback models to control spend, building dashboards to monitor service level agreements, usage, costs, and error rates, and identifying opportunities for cost savings and performance tuning.
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