Product Manager

Jobgether; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Meal allowances

Childcare assistance

Extended parental leave

Wellness programs

Job summary

Jobgether is seeking an experienced Product Manager to lead a dedicated squad focused on AI-powered automation and strategic product development. You will drive the product vision, roadmap, and backlog while ensuring governance, security, and observability across platforms.

You will work with executives, engineers, and clients to translate complex AI capabilities into business outcomes, manage change, and continuously improve product performance using data-driven insights.

Qualifications

• Proven experience as a Product Manager or Product Owner delivering complex, technically demanding digital products.
• Experience with Generative AI or agent-based solutions.
• Ability to understand software and AI architecture, including LLMs, AI agents, and API integrations (MCP).
• Experience developing integrated product plans addressing architecture, costs, security, observability, and performance.
• Strong knowledge of Scrum and Kanban with discovery, planning, delivery, and continuous improvement.
• Experience defining and tracking business KPIs and using data to guide prioritization.

Responsibilities

• Serve as the product and strategic reference for a dedicated squad, aligning vision with client needs and objectives.
• Develop and maintain integrated product plans covering architecture, costs, security, observability, and AI agent performance.
• Identify, define, prioritize, and refine business journeys suitable for automation and AI transformation.
• Ensure LGPD data privacy and governance practices are embedded in the solution architecture.
• Lead PDCA cycles and strategic reviews to evaluate AI agent performance and reliability.
• Coordinate organizational changes required for rollout and adoption of AI-powered workflows.
• Define and monitor KPIs linked to business outcomes, efficiency, and satisfaction.
• Collaborate with executive leadership, engineering, and client stakeholders through Agile practices.

Skills

Product Management

Generative AI

Technical understanding

Agile methodologies

Data-driven decision making

Change management

Executive communication

Stakeholder management

Collaborative working style

Tools

APIs

Model Context Protocol (MCP)

LangChain

LangGraph

CrewAI

AWS Bedrock

Job description

Accountabilities

- Product Strategy and Leadership: Serve as the product and strategic reference for a dedicated squad, aligning product vision with client needs, business objectives, and technical capabilities.

- Roadmap and Planning: Develop and maintain integrated product plans covering architecture, costs, security, observability, and AI agent performance indicators.

- Backlog Management: Identify, define, prioritize, and continuously refine business journeys suitable for automation and AI-powered transformation.

- AI Governance and Data Privacy: Ensure compliance with Brazil's LGPD data protection requirements by embedding privacy and governance practices into the solution architecture, including data minimization, access controls, and anonymization in observability systems.

- Performance and Continuous Improvement: Lead PDCA (Plan-Do-Check-Act) cycles and strategic reviews to evaluate the effectiveness, efficiency, and reliability of AI agents.

- Change Management: Coordinate the organizational changes required for successful rollout and adoption of new agentic workflows among users and relevant business teams.

- Business Impact and KPIs: Define, monitor, and communicate performance indicators linked to business outcomes, operational efficiency, and customer and employee satisfaction.

- Stakeholder Management: Collaborate with executive leadership, engineering teams, and client stakeholders through Agile practices, including Scrum and Kanban, to communicate progress, risks, dependencies, and priorities.

- Documentation and Knowledge Transfer: Maintain clear technical and product documentation, ensuring continuity, knowledge sharing, and sustainable solution ownership across teams.

Requirements

- Product Management Experience: Proven experience as a Product Manager or Product Owner delivering complex, technically demanding digital products.

- Generative and Agentic AI: Previous experience with Generative AI or agent-based solutions, ideally working closely with engineering teams to translate technical capabilities into product outcomes.

- Technical Understanding: Ability to understand software and AI architecture, including large language models (LLMs), AI agents, and integrations using APIs and the Model Context Protocol (MCP).

- Product Architecture and Planning: Experience developing integrated product plans that address architecture, operating costs, security, observability, and performance.

- Agile Methodologies: Strong knowledge of Scrum and Kanban, with experience facilitating discovery, planning, delivery, and continuous improvement activities.

- Data-Driven Decision-Making: Experience defining and tracking business KPIs, measuring product performance, and using data to guide prioritization and optimization.

- Change Management: Ability to lead adoption initiatives and coordinate the rollout of new products or automated workflows across business teams.

- Executive Communication: Excellent communication and stakeholder management skills, including the ability to translate complex technical concepts into clear business language.

- Collaborative Working Style: Ability to work closely and consistently with a dedicated client-facing squad, taking ownership of product outcomes in a dynamic environment.

Nice to have:

- Experience in banking, financial services, or human resources processes, particularly leave management, employee benefits, absences, or Brazilian social security (INSS) workflows.

- Practical knowledge of AI agent orchestration frameworks such as LangChain, LangGraph, or CrewAI, as well as AWS Bedrock.

- Experience integrating enterprise HR systems and corporate technology ecosystems.

- Familiarity with performance dashboards, AI monitoring, and observability tools.

Benefits

- Health and dental insurance to support your well-being.

- Meal and food allowances to help cover everyday expenses.

- Childcare assistance for eligible employees.

- Extended parental leave to support family life.

- Wellness partnerships through platforms such as Wellhub (formerly Gympass) and TotalPass, providing access to fitness and well-being services.

- Profit-sharing program (PLR) linked to company performance and applicable program terms.

- Life insurance for additional financial protection.

- Continuous learning opportunities through a dedicated corporate learning platform.

- Discount programs offering savings on selected products and services.

- Online physical and mental wellness resources to support a healthier lifestyle.

- Pregnancy and responsible parenting courses to support employees and their families.

- Access to online learning platforms for ongoing professional development.

- Language-learning resources to strengthen communication skills and support career growth.

- Inclusive workplace support , including dedicated well-being specialists, inclusion experts, and employee affinity groups.

- Remote work opportunities , with an office attendance requirement for employees residing in the Campinas Metropolitan Region, according to the applicable attendance policy.