Product Marketing Associate, Rewards

Accountabilities • Own product marketing activities for a defined portfolio of products, supporting the full lifecycle from discovery and validation through launch, learning, optimization, and scale.

• Analyze qualitative and quantitative consumer data to identify behavioral patterns, friction points, customer needs, and growth opportunities.

• Support and contribute to consumer research and customer advocacy initiatives, using insights to improve product positioning and experiences.

• Bring a strong consumer perspective to problem definition, messaging, product experiences, and marketing strategies.

• Use AI-powered tools to accelerate research, insight generation, strategic thinking, and marketing planning.

• Develop clear product positioning and messaging grounded in user research and behavioral data.

• Create and execute go-to-market plans across in-app experiences, lifecycle communications, and broader marketing channels.

• Monitor product adoption and engagement after launch, identify risks or opportunities, and recommend improvements based on performance data.

• Approach launches and optimizations as continuous experiments, defining opportunities for learning, measuring results, and iterating accordingly.

• Partner closely with Product Managers and Marketing Communications as primary collaborators throughout product launches and improvements.

• Collaborate across Product, Engineering, Data, Design, and Marketing to move initiatives forward and adapt priorities as business needs evolve.

• Document insights, decisions, and learnings so knowledge can be shared effectively across teams.

Requirements

• 0–2 years of experience in Product Marketing, Growth, Consumer Research, Lifecycle Marketing, or a related field; recent graduates are encouraged to apply.

• Internships, co-ops, academic projects, or other relevant hands-on experiences are considered valuable.

• Strong analytical thinking and the ability to work confidently with qualitative feedback, behavioral data, and survey results.

• Ability to translate complex information into concise insights, recommendations, positioning, or actionable next steps.

• Strong written and verbal communication skills, with the ability to collaborate effectively across diverse teams.

• Genuine curiosity about AI tools and enthusiasm for using technology to improve research, analysis, productivity, and marketing execution.

• A consumer-focused mindset and interest in understanding how people discover, evaluate, and engage with products.

• High standards for quality, accuracy, and execution, with a commitment to identifying and resolving problems rather than passing them forward.

• Comfortable challenging conventional approaches and developing new ways of solving problems.

• Strong sense of urgency and ability to make thoughtful decisions quickly in an environment where priorities can evolve.

• Ability to build trust through active listening, candid communication, and respectful collaboration.

• Confidence to respectfully challenge decisions, advocate for ideas, and commit fully once a direction has been established.

• Strong ownership mentality, resilience, and focus on delivering measurable results.

• Experience with consumer-facing or mobile products is a plus.

• Familiarity with user research methodologies, NPS analysis, or customer interview programs is a plus.

• Experience with lifecycle messaging, in-product copy, Braze, or similar platforms is a plus.

• Background in fintech, subscriptions, marketplaces, or other consumer technology businesses is a plus.

Benefits

• Monthly gross compensation of  $2,333–$3,167 USD , equivalent to  $28,000–$38,000 USD annually .

• Fully remote work arrangement from Brazil.

• Opportunity to work on consumer-facing financial technology and rewards products.

• Exposure to cross-functional collaboration across Product, Marketing, Engineering, Data, and Design.

• Opportunities to take meaningful ownership of product marketing initiatives from discovery through optimization.

• A fast-paced environment that encourages experimentation, calculated risk-taking, and continuous improvement.

• An AI-forward working environment with opportunities to use modern AI tools to enhance productivity and strategic decision-making.

• A culture focused on high standards, trust, ownership, innovation, and measurable results.

• Equal opportunity employment and an inclusive environment welcoming people from diverse backgrounds and experiences.

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