Senior Product Manager – AI Product

This is a fully remote position, open to applicants in Brazil, +2 more countries.

📋 Description

• Immerse yourself in the requirements of sellers and buyers, guiding the team towards key priorities while closing the learning loop in each delivery cycle within an AI-centric environment.

• Identify which challenges are significant and why; minimize uncertainty through exploration, quick prototyping, or measured launches; provide product and team insights with outcomes, impacts, and lessons learned.

• Discovery: generate hypotheses, perform research, analyze data, engage in user interviews, and establish clear success metrics.

• Delivery: prioritize initiatives focusing on impact and value, align the team with objectives, and guarantee consistency, quality, and clarity in deliveries.

• Launch: assist in the go-to-market approach, monitor user feedback and behavior, evaluate results, and guide future decisions.

⛳️ Requirements

• Senior-level independence and maturity to make informed decisions in building contexts without excessive structure or constant validation.

• Flexibility to experiment rapidly, adapt, and innovate without attachment to previous solutions.

• Organized thinking to structure information, create clarity before execution, and maintain a dependable context source.

• Proactive profile to execute, test, create, and iterate collaboratively with the team.

• Regular utilization of AI in work, experimenting with tools, testing boundaries, and staying updated with practical advancements.

• Discovery: conduct both qualitative and quantitative research, interview users, and synthesize evidence-based insights.

• Prioritization: rank what is important based on business results and customer outcomes, refining the backlog with clarity and criteria.

• Metrics and success criteria: establish what "worked" prior to execution and monitor outcomes post-launch.

• Written communication: document decisions, align context, and keep the team oriented with clarity, particularly in remote settings.

• Data and user behavior analysis: extract pertinent signals from quantitative and qualitative data to inform decisions.

• Practical application and prototyping with AI: hands-on experience with generative AI to swiftly develop solutions, workflows, and functional prototypes.

• Understanding of LLMs and agents: practical knowledge of language models, agent architectures, memory, and prompt/context engineering.

🏝️ Benefits

• Day off on your birthday

• Wellhub

• Furniture allowance (one-time payment of R$800.00)

• Home office allowance (R$150.00/month)

• Birthday gift (R$200 on Flash)

• Health insurance

• Dental insurance

• Food allowance

• Meal allowance