Senior Product Management Analyst (AI Agents)

Pipefy; Brasil; Híbrido; BRL 180 000 - 280 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and Dental insurance

Life insurance

Flexible hours

Flexible meal allowance

Monthly home office allowance

Home office setup allowance

Psychological assistance

Gympass

Labor classes

Maternity / Paternity leave

Babysitting allowance

Resumo da oferta

Pipefy is seeking a Senior Product Manager to lead the Agents Experience squad within the AI Agents tribe. You will own vision, roadmap, and execution, advancing agents' reasoning and expanding tool usage while connecting agents to customer knowledge bases.

You will drive the universal AI copilot strategy, collaborate with AI governance, and optimize adoption through data-driven insights and close customer interaction.

Qualificações

• Solid Product Management experience in end-user-facing products with adoption results.
• Proven experience leading AI/LLM products in production with real users.
• Ability to run discovery with real users and translate findings into scope.
• Strong analytical foundation to interpret adoption, activation and recurring usage metrics.
• Ability to bridge business needs and technical discussions with engineers and designers.
• Strong communication skills to align with executives and customers.
• Deep knowledge of PM practices including discovery, prioritization, and roadmap strategy.
• Experience with AI agents, copilots, and tool usage (MCP), knowledge bases, and retrieval.
• Hands-on with AI building tools (Cursor, Claude Code) to prototype hypotheses.
• Experience with product adoption/activation (PLG) and partner distribution.
• Background in workflow automation, no-code, or similar domains.

Responsabilidades

• Lead the Agents Experience squad with vision, strategy, roadmap, and execution.
• Advance agents' reasoning and action space from simple instructions to multi-step planning.
• Expand tools usage via in-product MCP Client, MCP Server, and external channels.
• Connect agents to a knowledge base integrated with external sources.
• Drive universal AI copilot adoption from discovery to launch and iteration.
• Maintain focus on user intent and translating it into Pipefy solutions.
• Slice deliveries to learn quickly in production and avoid oversized scope.
• Define and track AI adoption metrics using real usage data.

Conhecimentos

Product Management

AI/LLM products

Discovery with users

Adoption metrics

Roadmap strategy

Executive communication

Cross-functional leadership

Advanced English

Ferramentas

MCP Client

MCP Server

Cursor

Claude Code

Descrição da oferta de emprego

We are a collective group of fearless people with a clear purpose: to empower professionals around the world through intelligent workflow automation software. Currently, more than 500 people across 7 countries work with us, remotely or in a hybrid way, to make life easier for over 3,000 companies using Pipefy in more than 180 countries. Since our founding in 2015, we have put people at the center of everything we do, so we invite you to learn more about this position and apply to be part of our team.

Pipefy is looking for a Senior Product Manager to lead our Agents Experience squad, within the AI Agents tribe. The squad's mission is to make AI the easiest way to use Pipefy, on two fronts: the capabilities of the AI agents that work inside our customers' processes — reasoning, tool use, knowledge base, and action space — and the experience of building, testing, and talking to those agents. The central bet for the next phase is the universal AI copilot: an interface that can understand the user's problem and translate it into a solution built inside the product, whether that means creating a process, editing, testing, or analyzing it.

The first half of 2026 built the capabilities: agents with tool use (MCP Client in GA), an open-source MCP Server that lets external agents operate Pipefy, deep-reasoning agents, and knowledge base. The challenge now is a different one: turning built capability into measured adoption. You'll lead that shift on two tracks: versioning the copilot's evolution in slices to learn fast — starting with building and usage, then moving into analysis and consumption data — while continuing to push the frontier of what agents can solve on their own inside a process. If you'd like to see what's already live: AI Agents 2.0: https://www.youtube.com/watch?v=3l2r5TogAFg and MCP:https://www.youtube.com/watch?v=18Mo43JP2_g.

Main Responsibilities:

• Lead the Agents Experience squad, owning vision, strategy, roadmap, and execution.
• Deepen the agents' reasoning and action space: from simple instructions to multi-step planning and chained task execution, keeping the user in control of that autonomy.
• Expand how agents use tools: in-product MCP Client and the open-source MCP Server, including distribution through external channels and partners.
• Connect agents to customer knowledge: a knowledge base integrated with Google Drive, OneDrive, and other sources.
• Drive the evolution of the universal AI copilot (the squad's central bet) from discovery to launch and iteration, with an explicit adoption bar.
• Keep the product close to two questions: how well do we understand the user's real intent, and how well do we translate that into a solution inside Pipefy.
• Slice and version deliveries to learn fast in production, resisting the temptation of big scope — the full journey guides the vision, but it is not the delivery plan.
• Define and track the squad's AI adoption metrics using real usage data — not just volume, but recurrence over time — to prioritize the roadmap.
• Work closely with the tribe's AI Product Engineer (a product profile with hands-on technical depth, who builds and validates hypotheses in code before they become roadmap) and Frontier Engineer (an engineer dedicated to exploring the frontiers of AI and prototyping what is not yet product), making sure what they prototype has a clear path to productization.
• Partner with the Agents Confidence (AI governance) and AI Platform (execution engine) squads, coordinating dependencies and avoiding building two answers to the same question.
• Lead internal and external launches: rollout plans, monitoring, documentation, and communication, together with PMM and Enablement.
• Stay in direct contact with customers and with customer-facing teams (Solution Engineers, enablement, support) as a continuous source of evidence for discovery.

Requirements:

• Solid Product Management experience in end-user-facing products, with ownership of adoption and results.
• Proven experience leading AI/LLM products in production — with real users, scope decisions under your responsibility, and some bar for output quality (evaluation, error measurement, iteration on model behavior).
• Ability to run discovery with real users and translate findings into sliced, shippable scope.
• Strong analytical foundation, able to interpret adoption, activation, and recurring usage metrics to guide decisions.
• Ability to move easily between business needs and technical discussions with engineers and designers.
• Strong communication skills to align technical and non-technical stakeholders, including executive leadership and customers.
• Deep knowledge of Product Management best practices, including discovery, prioritization, and roadmap strategy.
• Portfolio discipline: sustaining and evolving already-shipped areas without cannibalizing the capacity dedicated to the central bet.
• Comfortable in a dynamic, multidisciplinary, fast-evolving environment.
• Advanced English.
• Experience with conversational products, copilots, assistants, and AI agents.
• Familiarity with how agents use tools (function calling, MCP), knowledge bases, and information retrieval.
• Hands-on with AI-assisted building tools (e.g., Cursor, Claude Code) to prototype and validate hypotheses without having to depend on someone else.
• Experience with product adoption and activation (PLG): converting users from a manual flow to a new usage paradigm.
• Experience with distribution through partners, marketplaces, or third-party ecosystems.
• Background in workflow automation, no-code, or similar domains.

- Health and Dental insurance

- Life insurance

- Flexible hours (40h/ week)

- Flexible monthly meal allowance

- Monthly home office allowance

- Home office setup allowance

- Psychological assistance (employees or legal dependents)

- Gympass

- Labor classes

- Maternity / Paternity leave (Maternity 6 months/Paternity 3)

- Babysitting / Elementary school allowance