AI Manager

Jobgether

Brazil8h ago

Free account needed to apply or save. It takes a minute, and we'll bring you right back to this job.

How well do you match this job?

Key details

Location: Brazil
Work style: Remote
Level: Senior
Job type: Full-time
Function: Operations & Strategy
Focus area: other
Posted: 8h ago

Skills

business intelligenceclaudegenerative aigithub copilotllmproduct managementproduct strategyragrapid prototypingretrieval-augmented generationsql

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Manager based in Brazil.

We are looking for an experienced AI Manager to drive an organization-wide AI-first transformation, connecting business strategy, product innovation, and engineering excellence. In this strategic leadership role, you will shape the AI vision and oversee the development of innovative AI-powered digital products. You will work closely with senior engineering leaders to establish high-performing teams, scalable frameworks, and robust quality standards. Your focus will include generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous agents. You will also champion responsible AI adoption through evaluation frameworks, governance, and continuous monitoring. This is an exciting opportunity to influence product strategy, accelerate innovation, and turn emerging AI capabilities into measurable business value.

Accountabilities:

Define and drive the organization's AI strategy in collaboration with Staff and Principal Engineers, acting as a key ambassador for an AI-first culture.
Lead and coordinate AI teams, establishing product development frameworks, quality standards, guardrails, evaluation processes (evals), and performance monitoring metrics.
Facilitate discovery workshops, innovation sessions, and customer journey mapping to identify opportunities and design AI-powered product solutions.
Oversee the end-to-end delivery lifecycle of AI initiatives, ensuring alignment with business objectives, stakeholder expectations, and organizational priorities.
Establish and promote best practices for generative AI assistants, LLMs, RAG architectures, autonomous agents, and model validation processes.
Drive the adoption and integration of AI solutions into business workflows, ensuring scalability, reliability, and continuous improvement.
Build strong relationships between technical and business teams, translating complex AI concepts into clear product strategies and measurable outcomes.
Support the definition and evolution of Release Train (RT) strategies and technical roadmaps.
Encourage experimentation, rapid prototyping, and the strategic use of AI technologies to improve product performance and business efficiency.

Requirements:

Solid technical and product management experience with generative AI assistants, Large Language Models (LLMs), RAG architectures, autonomous agents, and evaluation frameworks.
Practical experience with AI-powered development and agent platforms such as Devin, GitHub Copilot, Claude, or similar tools for proof-of-concepts, rapid prototyping, and strategic documentation.
Ability to define and manage technical roadmaps, Release Train strategies, and product evolution initiatives.
Knowledge of analytics and Business Intelligence tools, basic SQL, and digital product development practices, including feature definition and user story management.
Strong facilitation skills, with experience leading workshops, product discovery sessions, and AI-focused journey mapping.
Excellent communication skills and the ability to collaborate effectively with engineering, product, and business stakeholders.
Strong strategic thinking, analytical capabilities, and problem-solving skills, combined with a hands-on approach to innovation.
Ability to establish quality standards, governance practices, and performance measurement processes for AI-powered products.

Nice to Have:

Previous experience building AI teams, processes, and operations from the ground up in AI-first organizations.
Experience in financial services, banking, or other highly regulated industries.
Advanced knowledge of AI-specific performance metrics and