Job Description

Hybrid position (2 days per week) based in São Paulo.

Please note: resumes must be submitted in English. Applications submitted with resumes in other languages will not be considered.

WHO WE ARE & WHAT MAKE’S US A GREAT PLACE TO WORK

NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every step of the customer journey.

Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world's best places to work. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams.

WHAT YOU'LL DO

NPS Prism is seeking a Product Manager who will own the design, quality, and continuous improvement of our Brazil Banking research instrument. This role is ideal for a hands-on product leader with experience in research and survey methodology, a strong customer-first mindset, and the ability to work cross-functionally across geographies to take products from idea to launch.

Key Responsibilities

• Own the Brazil Banking research instrument end-to-end: questionnaire design, rotation logic, testing, versioning, and ongoing maintenance
• Lead new product/feature development efforts to create new analytics and primary research products, including AI-enabled capabilities, aligned to long-term NPS Prism growth
• Own product strategy and roadmap decisions for your product area, balancing customer value, technical feasibility, and business impact.
• Apply a customer point of view, working backwards from customer needs, pain points, and use cases to define product requirements
• Identify, size, and prioritize product opportunities, making explicit tradeoffs and recommendations backed by customer insight and data
• Collaborate closely with engineering, data science, commercial, and operations teams to deliver high-quality products
• Actively unblock challenges across teams, balancing speed, quality, and scope
• Define and track instrument-level success metrics (e.g., response rate, data quality scores, coverage of customer journey stages) and use them to drive iteration
• Stay current on trends in survey methodology, CX measurement, AI-enabled research tools, and the Brazilian banking market
• Ensure compliance with Brazilian data privacy and research regulations, including LGPD

ABOUT YOU

Required

• 5+ years of experience in product management, research operations, consultancy or a closely related role
• Professional-level proficiency in written and spoken English is required for this role
• Strong customer-centric mindset with experience working backwards from user needs
• Experience building or managing analytics-driven, research-based, and/or AI-enabled data products, including working with engineering, data science, commercial and/or operations team members
• Proven ability to operate as a hands-on individual contributor with ownership mindset, influencing cross-functional teams without formal authority
• Strong data analysis skills (e.g. SQL, Alteryx, Excel, etc.)
• Strong problem-solving skills and comfort operating in ambiguous environments
• Excellent verbal and written communication skills, including the ability to work across geographies and cultures and communicate technical topics to non-technical audiences

Preferred

• Experience with B2B SaaS, data platforms, or analytics-driven research products
• Experience with primary research and/or survey methodology: survey design, sampling, data quality, and research operations
• Familiarity with the Brazilian banking or financial services market
• Experience with NPS® methodology or CX benchmarking
• Familiarity with AI/ML concepts (LLMs, prompt engineering, RAG applications, etc.) and their application in customer insights or analytics products
• Experience managing other team members