Basic 6+ years of product management experience, including meaningful work on AI/ML products, automation systems, developer tools, platforms, or other technically sophisticated products. Hands-on builder mindset, with the ability to use model APIs, agent tooling, and simple code in Python or TypeScript/JavaScript to create or guide working prototypes Proven track record of taking new product areas from ambiguous opportunity to strategy, prototype, launch, and measurable impact Preferred Experience building assistants, agents, copilots, or AI products that use tools to complete tasks Familiarity with memory, tool calling, browser or computer use, voice, multimodal interaction, or agent orchestration Background in software engineering, ML, data science, or a similarly technical field Strong point of view on when an agent should act autonomously, when it should ask for permission, and how to keep users in controlStrong technical fluency and comfort working at the boundary of product and engineering and be able to reason about APIs, orchestration, data flows, permissions, latency, and failure modes Strong judgment in trust-sensitive experiences, including transparency, control, privacy, and reliability Excellent written and verbal communication skills, with the ability to create clarity and alignment across senior cross-functional stakeholders Strong Data Analysis, Data Science and engineering skills
As a P4 AI Product Manager Analyst for Martech, you own Agent Use Case Definition & Business Outcomes by identifying high-impact business workflows. You define technically viable agent requirements and translate business problems into clearly defined agent capabilities feasible within the enterprise tech stack. For Applications Workflow Design & Orchestration, you define the end-to-end workflow an agent will perform across enterprise systems, specifying triggers, context, actions, and escalation paths. You handle Collaboration, Value measurement, and Continuous improvement by defining success metrics, tracking outcomes, and refining agent behaviors based on operational feedback. Finally, you manage Autonomous Boundaries and Safety by determining the extent of agent autonomy, defining guardrails, approval checkpoints, and the human-in-the-loop model. This position is an individual contributor role reporting to the Director, Martech & Prospecting Applications. Responsibility Identify the highest-value problems for business development, sales and account executives where an agent can save time, reduce effort, and take useful action Be very savvy with data, crunch the current state funnel metrics, and pipeline performances to determine the highest value use cases to agentify Influence senior leaders and cross-functional teams on use cases we should automate, what to build first, and how to stay at the forefront of this space Understand intent signals, prospecting signals, propensity scores, next best recommendations etc to determine the best execution strategies for prospecting Rapidly evaluate new capabilities from model providers, tooling ecosystems, and internal platforms, and translate them into clear product bets Build scrappy but convincing prototypes using available models, agent frameworks, tools, and lightweight interfaces to test usefulness, trust, and feasibility Partner with engineering, ML, design, and platform teams to turn promising prototypes into scalable product experiences Shape how memory, context, orchestration, permissions, and human handoff should work in prospecting journeys Define safe patterns for agents that take action, including clear explanations, user approvals, visibility into what the agent is doing, and recovery paths when things go wrong Establish success metrics, launch criteria, and learning loops for these experiences, balancing ambition with trust, reliability, latency, and cost