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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in discovery and delivery processes, utilizing AI tools for rapid prototyping and user behavior analysis. Capable of structured thinking and effective prioritization to drive impactful product initiatives.
Highest-signal resume keywords
AI Tool UtilizationUser Research and InterviewsData Analysis and InsightsPrototyping with Generative AIStructured Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Qualitative ResearchQuantitative ResearchMetrics DefinitionSuccess Criteria MonitoringBacklog Refinement
Soft Skills
AdaptabilityWritten CommunicationAutonomyTeam Collaboration
Tools & Technologies
Generative AILanguage ModelsAgent Architectures
Industry Keywords
Go-To-Market StrategyUser Feedback AnalysisImpact and Value Prioritization
About the role
Key responsibilities & impact- Dive into the needs of sellers and buyers, guide the squad to what matters most, and close the learning loop each delivery cycle in an AI-first environment.
- Define which problems are worth solving and why; reduce uncertainty through discovery, rapid prototyping, or measured launches; feed product and team context with results, impacts and learnings.
- Discovery: formulate hypotheses, conduct research, analyze data, participate in user interviews, and define clear success criteria.
- Delivery: prioritize initiatives with a focus on impact and value, organize the team around objectives, and ensure consistency, quality, and clarity in deliveries.
- Launch: support go-to-market strategy, track user feedback and behavior, analyze results, and inform subsequent decisions.
Requirements
What you’ll need- Senior-level autonomy and maturity to decide confidently in building contexts without relying on excessive structure or constant validation.
- Adaptability to experiment quickly, pivot, and evolve without attachment to previous solutions.
- Structured thinking to organize information, create clarity before execution, and maintain a reliable source of context.
- Hands-on profile to execute, test, build, and iterate alongside the team.
- Daily use of AI in work, exploring tools, testing limits, and keeping up with practical changes.
- Discovery: conduct qualitative and quantitative research, interview users, and synthesize evidence-based insights.
- Prioritization: order what matters based on business results and customer outcomes, refining the backlog with clarity and criteria.
- Metrics and success criteria: define what "worked" before executing and monitor results after launch.
- Written communication: document decisions, align context, and keep the team oriented with clarity, especially in remote environments.
- Data and user behavior analysis: extract relevant signals from quantitative and qualitative data to support decisions.
- Practical use and prototyping with AI: hands-on experience with generative AI to build solutions, flows, and functional prototypes rapidly.
- Understanding of LLMs and agents: functional knowledge of language models, agent architectures, memory, and prompt/context engineering.
Benefits
Comp & perks- 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