Staff Product Designer - AI Products

📍 Job Overview

Job Title: Staff Product Designer - AI Products

Company: Jobgether (on behalf of a partner company)

Location: Brazil

Job Type: Full-time

Category: Product Design / AI Product Development

Date Posted: 2026-11-05

Experience Level: 7+ Years Professional Experience

Remote Status: Fully Remote

🚀 Role Summary

• Lead the end-to-end design lifecycle for innovative AI-powered products, from initial discovery and research to final launch.

• Shape user experiences for both external B2C customers and internal teams, focusing on financial services and intelligent technology.

• Drive the transformation of early concepts and complex challenges into intuitive, scalable, and user-friendly AI-driven products.

• Collaborate closely with product managers, engineers, and leadership to define product strategy, influence roadmaps, and guide cross-functional decisions.

• Design for non-deterministic AI experiences, focusing on user trust, interpretation, and understanding of AI outputs.

📝 Enhancement Note: This role is positioned as a "Staff" level designer, indicating a need for significant autonomy, strategic influence, and the ability to lead complex, ambiguous projects. The emphasis on "0-to-1" product development and "end-to-end ownership" suggests a highly impactful, foundational role within a fast-moving team. The AI focus highlights a specialized and in-demand area within product design.

📈 Primary Responsibilities

• Own the complete product design lifecycle, from discovery, research, and concept development through prototyping, delivery, and launch.

• Lead the design of new AI-powered products for external B2C customers, as well as internal AI tools that improve and transform organizational workflows.

• Take products from zero to one, translating early ideas, complex challenges, and loosely defined problem spaces into useful, intuitive experiences.

• Define product and design direction in ambiguous environments, making informed decisions and adapting as requirements and technologies evolve.

• Design for non-deterministic AI experiences, considering how users interact with, interpret, understand, and build trust in systems whose outputs may vary.

• Create visually compelling, forward-thinking interfaces and interactions that establish high standards for AI product experiences.

• Partner closely with product managers, engineers, and leadership to shape product strategy, influence roadmaps, and guide cross-functional decisions.

• Build rapid prototypes to communicate concepts, explore interactions, validate assumptions, and gather feedback before moving into implementation.

• Conduct user research and translate customer insights, behavioral data, and experimentation results into design decisions.

• Continuously evaluate and improve products after launch, using feedback and performance insights to refine the user experience.

• Maintain a consistently high standard of usability, visual quality, design craft, and coherence across all product experiences.

• Apply systems thinking to create scalable, consistent design solutions that can evolve as products and user needs grow.

📝 Enhancement Note: The responsibilities emphasize a full-stack design ownership, from strategic ideation to iterative improvement post-launch. The explicit mention of designing for "non-deterministic AI experiences" and "building trust" is a critical and specialized aspect of AI product design that candidates should be prepared to discuss. The role also requires significant strategic influence beyond typical execution.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typically expected for Staff-level roles, alongside a strong portfolio.

Experience:

• Minimum of 7 years of professional experience in product design.

• Proven track record of leading products from initial concept through launch, ideally with end-to-end ownership as the lead or sole designer. Required Skills:

• Exceptional design craft and measurable impact, demonstrated through a strong portfolio.

• Advanced product thinking capabilities, including navigating ambiguity and making sound decisions with incomplete information.

• Expertise in UX and visual design, with a history of solving complex, open-ended problems through clear and elegant solutions.

• Advanced prototyping skills for communicating complex concepts, workflows, and interactions effectively.

• Experience influencing product strategy and contributing to cross-functional decision-making beyond design execution.

• Strong systems-thinking skills for building coherent, scalable product experiences.

• Excellent collaboration and communication skills, with confidence working directly with product, engineering, and senior leadership.

• High standards for design quality, attention to detail, and a proactive approach to experimentation and continuous improvement. Preferred Skills:

• Direct experience designing AI-powered, generative, probabilistic, or other non-deterministic product experiences.

• Experience designing for financial services or complex B2C applications.

• Familiarity with internal tool design and workflow optimization.

• Understanding of user research methodologies and translating insights into actionable design improvements.

📝 Enhancement Note: The requirements clearly distinguish between core product design competencies and specialized AI design experience, with the latter being highly desirable. The emphasis on "Staff" level experience implies a need for leadership, strategic thinking, and a proven ability to drive outcomes with minimal supervision.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design ownership, from discovery to launch.

• Case studies demonstrating the ability to translate complex problems and ambiguous requirements into intuitive user experiences.

• Examples of designing for AI-powered or non-deterministic systems, highlighting challenges related to user trust, interpretation, and output variability.

• Projects that illustrate strong product thinking, strategic influence, and collaboration with cross-functional teams (Product, Engineering, Leadership).

• Demonstrations of advanced prototyping skills and the ability to communicate complex interactions and workflows.

• Evidence of systems thinking in creating scalable and consistent design solutions.

• Projects that highlight a high standard of design craft, visual quality, and attention to detail. Process Documentation:

• Detailed explanations of your design process for specific projects, including research methodologies, ideation techniques, and validation strategies.

• Documentation of how user insights and data were translated into design decisions.

• Workflow diagrams or descriptions of how you collaborated with engineering and product teams during implementation.

• Examples of iterative design improvements based on post-launch feedback and performance metrics.

📝 Enhancement Note: For a Staff Product Designer role, particularly in AI, the portfolio is critical. It must go beyond showcasing finished products to demonstrating the candidate's thought process, problem-solving approach, and strategic impact. Expect detailed scrutiny of how you navigated ambiguity and designed for the unique challenges of AI.

💵 Compensation & Benefits

Salary Range:

Given the Staff level, the requirement for 7+ years of experience, and the fully remote nature for Brazil, the estimated salary range would be between R$ 15,000 to R$ 25,000 per month. This estimate is based on market research for senior/staff product designers in Brazil, considering the demand for specialized AI design skills and the fully remote work arrangement which often commands a premium.

Benefits:

• Fully remote work arrangement, offering flexibility and work-life balance.

• Full-time employment with a partner company.

• Significant ownership and autonomy over product design decisions and outcomes.

• Opportunity to lead the development of new AI products from concept to launch.

• Direct collaboration with product, engineering, and leadership teams, with the ability to influence strategy and product direction.

• Opportunity to work on innovative AI-powered financial products and internal tools.

• Fast-moving environment with a strong emphasis on design quality, creativity, and meaningful product impact.

• Opportunity to contribute to the evolution of AI-driven customer experiences and financial technology. Working Hours:

The role is listed as full-time, implying a standard 40-hour work week. However, given the remote nature and the "0-to-1" product development aspect, there may be flexibility in daily scheduling, with an expectation of responsiveness and timely delivery of project milestones.

📝 Enhancement Note: The salary estimate is a broad range, and the actual compensation will depend on the specific partner company, the candidate's exact experience, and negotiation. The benefits highlight the attractive aspects of working on cutting-edge AI products with significant autonomy.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically FinTech and AI Product Development. The partner company is likely operating in a space that leverages AI to disrupt or enhance financial services, or to build intelligent internal operational tools.

Company Size: The description implies a small, fast-moving team, suggesting a startup or a dedicated innovation unit within a larger organization. This means a lean structure, high impact potential, and a culture that likely values agility and rapid iteration.

Founded: Not specified, but the "0-to-1" and "small team" nature suggests a relatively young or growth-stage company/unit.

Team Structure:

• The design team is likely small, with this role being a senior or lead individual contributor.

• Close collaboration with Product Management and Engineering is paramount, with direct access to leadership.

• Cross-functional decision-making is a core aspect of the role, meaning designers are integral to strategic product direction. Methodology:

• Agile and iterative product development processes are likely employed, given the "fast-moving team" and "0-to-1" nature.

• Data-driven decision-making will be crucial, with an emphasis on user research, behavioral data, and experimentation.

• Design thinking and lean UX principles are probably embedded in the team's workflow.

Company Website: Jobgether.com (for application processing), but the partner company's website is not directly provided.

📝 Enhancement Note: The culture described is typical of innovative tech environments where speed, impact, and autonomy are highly valued. For operations professionals, this means being comfortable with change, taking initiative, and working collaboratively in a dynamic setting.

📈 Career & Growth Analysis

Operations Career Level: This role is at the "Staff" level, which is typically considered senior to Principal. It signifies deep expertise, strategic influence, and the ability to lead complex, ambiguous initiatives independently. For a designer, this means not just executing but shaping the product vision and design direction.

Reporting Structure: The designer will report to a Head of Product, Engineering Lead, or a senior executive, with direct collaboration with Product Managers and Engineers. The structure is likely flat, emphasizing direct communication and impact.

Operations Impact: The impact is significant, as this role is responsible for the end-to-end design of core AI products. The designer will directly influence customer acquisition, engagement, retention, and internal operational efficiency through the products they help create. Their work will shape the user experience of financial services and intelligent technology.

Growth Opportunities:

• Specialization: Deepen expertise in AI product design, non-deterministic systems, and generative AI interfaces.

• Leadership: Transition into a Design Lead or Manager role as the team grows, mentoring junior designers.

• Strategic Influence: Become a key voice in product strategy and roadmap planning for AI initiatives.

• Industry Impact: Contribute to shaping the future of AI in financial services and technology.

📝 Enhancement Note: The "Staff" designation is crucial. It implies a high level of autonomy and strategic contribution, moving beyond execution to setting direction. Career growth will likely involve increasing scope, leadership, and strategic responsibility within the AI product space.

🌐 Work Environment

Office Type: Fully remote. This offers maximum flexibility in terms of location and daily schedule, with no requirement for physical office presence.

Office Location(s): While the role is based in Brazil, the remote nature means candidates can work from any suitable location within Brazil.

Workspace Context:

• Candidates will need to establish their own productive remote workspace, equipped with reliable internet access.

• Collaboration will occur primarily through digital tools (video conferencing, messaging, collaborative design platforms).

• The team values exceptional design craft and thoughtful execution, suggesting a focus on quality and detailed work, even in a remote setting.

Work Schedule: Full-time (expected 40 hours/week), with flexibility in daily hours. This allows for personal time management while ensuring project milestones are met. The remote setup is ideal for operations professionals who may need to integrate personal appointments or family needs into their workday.

📝 Enhancement Note: The fully remote aspect is a key selling point. Candidates should be self-motivated, disciplined, and proficient in remote collaboration tools. The emphasis on "design craft" suggests a culture that values quality output regardless of location.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: Application review by Jobgether's AI system for core requirements, followed by a recruiter screen.

2. Portfolio Review & Design Challenge: Presentation of your portfolio, focusing on end-to-end ownership and AI product design examples. This may be followed by a design challenge or case study presentation to assess problem-solving skills, product thinking, and design execution.

3. Cross-functional Interviews: Interviews with Product Managers, Engineers, and potentially other designers to assess collaboration, communication, and technical understanding.

4. Leadership Interview: Discussion with senior leadership to evaluate strategic thinking, product vision, and cultural fit.

Portfolio Review Tips:

• Curate strategically: Select 3-4 strong case studies that best demonstrate end-to-end ownership, AI product design experience, and impact.

• Focus on the "Why" and "How": Clearly articulate the problem, your process, the trade-offs you made, and the rationale behind your design decisions, especially concerning AI's non-deterministic nature.

• Quantify Impact: Wherever possible, use metrics (e.g., user engagement, conversion rates, efficiency gains) to demonstrate the measurable impact of your design work.

• Highlight AI Challenges: Specifically address how you approached designing for AI, including user trust, interpretability, and managing non-deterministic outputs.

• Showcase Systems Thinking: Illustrate how your designs scale and remain consistent across product ecosystems.

• Practice your narrative: Be prepared to walk through your portfolio and answer in-depth questions about your contributions and decision-making.

Challenge Preparation:

• If a design challenge is given, focus on understanding the core problem and constraints quickly.

• Prioritize defining the user and business goals before jumping into solutions.

• For AI-related challenges, consider how to incorporate user feedback loops, error handling, and transparency.

• Be prepared to present your thought process and rationale clearly and concisely within the given timeframe.

📝 Enhancement Note: The interview process will heavily scrutinize your portfolio and your ability to articulate your design process and strategic thinking, especially concerning AI. Demonstrating how you've navigated ambiguity and driven products from "zero to one" will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Framer, ProtoPie (or similar advanced prototyping tools).

• User Research & Analytics: Tools for user interviews, surveys, usability testing (e.g., UserTesting.com, Maze, Lookback), and analytics platforms (e.g., Google Analytics, Amplitude, Mixpanel).

• Collaboration & Communication: Slack, Zoom, Google Workspace, Jira, Confluence.

• AI/ML Specific Tools: While not always directly used by designers, familiarity with concepts of AI/ML model outputs, APIs, and potential limitations will be beneficial.

Analytics & Reporting:

• Proficiency in interpreting user behavior data and performance metrics to inform design decisions.

• Experience with A/B testing and experimentation frameworks. CRM & Automation:

• Not directly applicable to product design, but understanding how CRM and automation systems interact with user-facing products can be beneficial for context.

📝 Enhancement Note: While specific tool requirements aren't listed, proficiency in industry-standard design and prototyping tools is assumed. For AI product design, an understanding of how data feeds into AI models and how users interact with AI outputs is more critical than direct tool usage in ML development.

👥 Team Culture & Values

Operations Values:

• Design Craft & Quality: A commitment to high standards in usability, visual design, and overall user experience.

• Innovation & Creativity: Encouraging novel solutions, especially in the rapidly evolving AI space.

• Customer Impact: Focusing on creating meaningful value for users and solving real problems.

• Collaboration & Communication: Openness to feedback, transparent communication, and strong cross-functional partnerships.

• Agility & Adaptability: Comfort with ambiguity, rapid iteration, and evolving technologies.

• Ownership & Autonomy: Empowering individuals to take full responsibility for their work and drive outcomes.

Collaboration Style:

• Highly collaborative, working closely with Product Managers and Engineers throughout the design process.

• Open dialogue and feedback loops are essential for rapid iteration and problem-solving.

• Designers are expected to influence product strategy and contribute to strategic discussions beyond just design execution.

📝 Enhancement Note: The culture emphasizes a blend of creative excellence, strategic contribution, and collaborative execution within a fast-paced, AI-focused environment. Candidates should demonstrate alignment with these values.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating loosely defined problem spaces and rapidly evolving AI technologies.

• Non-deterministic AI: Creating intuitive and trustworthy experiences for systems whose outputs can vary.

• Balancing Innovation and Usability: Pushing the boundaries of AI while ensuring products are accessible and useful.

• Cross-functional Alignment: Ensuring shared understanding and buy-in on design strategy with product and engineering.

• "Zero-to-One" Product Development: Building entirely new products with limited existing frameworks or precedents.

Learning & Development Opportunities:

• AI/ML Specialization: Deepen expertise in the nuances of AI product design and user interaction with intelligent systems.

• Product Strategy: Gain experience in shaping product roadmaps and influencing business strategy.

• Leadership Skills: Develop mentorship and leadership capabilities through leading complex projects.

• Industry Trends: Stay at the forefront of advancements in AI, FinTech, and product design.

📝 Enhancement Note: The challenges presented are inherent to cutting-edge AI product development and senior-level design roles. These challenges are also framed as opportunities for growth and skill development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you took a product from zero to one. What were the biggest challenges, and how did you overcome them?" (Focus on process, decision-making, and impact).

• "How do you approach designing for AI systems where the output is non-deterministic? How do you build user trust in such systems?" (Highlight specific strategies, user research, and UI patterns).

• "Walk me through a complex product design challenge you faced. How did you collaborate with engineering and product to solve it, and what was the outcome?" (Emphasize collaboration, problem-solving, and measurable results).

• "How do you influence product strategy when your role is primarily design-focused?" (Discuss proactive contributions, data-driven arguments, and cross-functional communication). Company & Culture Questions:

• "What interests you about designing AI products, particularly in the financial services space?" (Show genuine curiosity and research).

• "How do you maintain high design craft and attention to detail in a fast-moving, remote environment?" (Discuss your personal processes and commitment to quality).

• "Describe your ideal collaboration style with product managers and engineers." (Emphasize partnership, feedback, and shared goals). Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline: Problem, Your Role/Ownership, Process (Research, Ideation, Design, Testing), Solution, and Impact/Outcome.

• AI Focus: Explicitly call out how you addressed the unique challenges of AI in your presented projects.

• Narrative: Tell a compelling story about your contribution and the product's journey.

• Visuals: Use high-quality visuals, prototypes, and clear explanations.

• Conciseness: Be mindful of time; focus on the most critical aspects and be prepared for deeper dives.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, end-to-end ownership, and a deep understanding of AI design principles. Be ready to back up claims with specific examples from your portfolio.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform.

• Portfolio Customization: Ensure your portfolio prominently features your strongest end-to-end product design case studies, with a specific emphasis on any AI or complex, ambiguous projects. Tailor your case study descriptions to highlight your "zero-to-one" experience and strategic contributions.

• Resume Optimization: Update your resume to clearly articulate your 7+ years of experience, highlighting achievements related to product strategy influence, cross-functional collaboration, and successful product launches. Use keywords such as "AI Product Design," "Non-deterministic Systems," "Systems Thinking," and "End-to-End Ownership."

• Interview Preparation: Practice articulating your design process, decision-making rationale, and the impact of your work, especially for AI-related challenges. Prepare to present your portfolio confidently and answer strategic questions.

• Company Research: While the partner company isn't directly named, research Jobgether's mission and the broader trends in AI within FinTech to inform your understanding of the potential business context. Understand the value proposition of AI-powered financial services.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization or Jobgether before making application decisions.