Product Manager

Remote in Brazil,

Product Management

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We are looking for a Product Manager to join our team. This role is ideal for someone who enjoys turning complex, cross-functional challenges into practical, scalable solutions. You'll operate at the intersection of technology and business operations, working to streamline processes and introduce smarter ways of working across the organization. If you're energized by hands-on building, continuous experimentation, and driving measurable impact, this position offers an exciting opportunity to shape how AI is applied across corporate functions

Responsibilities

Partner with Legal, IT, Enterprise Risk Management, Product, Engineering, and other functional leaders to identify AI opportunities and define the problem, target users, and success measures
Map end-to-end processes, such as contract request-to-signature, IT request-to-fulfillment, risk assessment, and ticket-to-deploy, to eliminate unnecessary steps and manual effort
Own the AI backlog for Corporate Functions, prioritizing requests based on business value, effort required, risk, and strategic fit
Triage incoming requests to determine the right approach, whether a custom AI agent, low-/no-code build, AI embedded within SaaS platforms (CLM platform, ServiceNow, Jira), or workflow automation
Build solutions supporting contract intake and review, policy questions, IT service desk requests, risk register support, product feedback, release notes, ticket triage, and documentation
Build and ship AI agents, Claude Projects, and automated workflows independently, carrying them from prototype through to production
Write clear requirements, then develop solutions using AI coding assistants such as Claude Code, including APIs and integrations
Establish evaluation processes covering accuracy, confidentiality, auditability, and human review, applying AI governance, security, and privacy standards in partnership with Security, Legal, and EA
Drive adoption through training and enablement efforts, while tracking intake volume, routing time, resolution time, and overall service levels

Requirements

A Bachelor's or Master's degree, or equivalent practical experience
A minimum of 5 years of relevant experience in software development, product management, Legal Operations, IT, risk management, engineering operations, or business systems
At least 2 years in Senior, Lead, Manager, or Owner-level roles
Proven track record managing engagements for teams of 5 or more full-time employees
Direct experience building and shipping AI agents and automations using tools such as Glean, Claude, ChatGPT, Gemini, or AWS Bedrock
Hands-on development experience with AI coding assistants like Claude Code, including working with APIs, integrations, and enterprise data
Working knowledge of prompt and context engineering, RAG, tool use, and AI evaluation methods
Strong understanding of Legal, IT, risk, product, or engineering workflows
Practical experience with tools such as CLM, ServiceNow, Jira, Confluence, GitHub, or risk management platforms
Ability to build trust across legal, IT, risk, product, and engineering teams while explaining AI concepts in clear business terms
Fluent English communication skills at a B2 level or higher

Nice to have

Familiarity with AI governance principles to support responsible and compliant AI adoption
Experience with AWS Bedrock for building and scaling generative AI solutions
Background working with agentic automation low-code platforms to accelerate solution delivery
Experience designing and implementing agentic workflows for complex business processes
Hands-on experience with Anthropic Claude for AI-driven solution development
Familiarity with Atlassian Confluence for documentation and knowledge management
Experience using Atlassian Jira for tracking work and managing project workflows
Background in business process analysis to identify inefficiencies and improvement opportunities
Knowledge of context engineering techniques to improve AI model performance and relevance
Experience working with Contract Lifecycle Management Systems (CLMs) for managing contract workflows
Familiarity with Glean for enterprise search and knowledge discovery
Working knowledge of the Model Context Protocol (MCP) and its role in AI integrations
Relevant certification, which would be considered a valuable addition to your qualifications