Product Manager III - Produto Disrupt | Tech - Remote Eligible

Product Manager III - Produto Disrupt | Tech

You will lead the experience of a conversational agent with GenAI at the center. It will be your responsibility to understand in depth how users interact with AI agents — their behaviors, frictions, and expectations — to design more intuitive, efficient, and scalable journeys. We expect someone who not only thinks like a digital product PM but also breathes agents: who understands their limits, embraces their ambiguities, and knows how to turn them into opportunities for enchantment.

Daily Menu:

• AI-Guided Hypotheses: Analyze data from EVALs, journeys, and real conversations to raise hypotheses on how the experience can evolve based on the agent's and users' behavior.
• Funnel and Conversion with a Critical Look: Investigate where, when, and why users abandon the flow; turn these findings into action plans.
• Integrated Research: Co-lead qualitative and quantitative research along with the design team, focusing on understanding the behavior in interactions with non-deterministic agents.
• Strategic Experimentation: Prioritize hypotheses based on impact and effort, lead A/B tests and impact analyses, and feed the roadmap with continuous learning.
• Multichannel with Intentionality: Ensure consistent and well-adapted experiences across different channels — WhatsApp, app, web — respecting the contexts and limitations of each platform.
• Segmentation and Adoption: Understand different user profiles, their goals, and how the agent can position itself to generate real and personalized value.
• Deep Collaboration: Work side by side with design, content, engineering, and the intelligence squad to ensure experience decisions are aligned with the technical evolution of the agent.

Ingredients We Seek:

• Proven experience with GenAI-based products, especially conversational agents (chatbots, copilots, AI assistants).
• Solid understanding of the functioning of non-deterministic agents: memory, context window, hallucinations, tool use/function calling, etc.
• Ability to interpret results of EVALs and performance metrics (ex: helpfulness, coverage, redundancy) to direct product decisions.
• Sharp analytical eye, with mastery of observability tools and behavior analysis (Clarity, GA, Amplitude, Mixpanel, etc.).
• Experience with discovery processes and user-centered research, especially in the context of generative AI.
• Ability to create, test, and iterate hypotheses with speed and rigor.
• Clear communication skills with different stakeholders and fluency to translate technical insights into business opportunities.
• Advanced English for interaction with international teams.

To Relish the Flavor:

• Experience with EVAL frameworks like LangSmith, Promptfoo, Trulens or similar.
• Participation in projects with open models (ex: Llama, Mistral) and/or commercial APIs (OpenAI, Anthropic, Gemini).
• Familiarity with design frameworks for AI (like UX for LLMs, prompt scaffolding, fallbacks).
• Having led experiments focused on engagement, adoption, or expansion of AI assistants.