Content Designer Senior (AI)

📍 Job Overview

Job Title: Content Designer Senior (AI)

Company: Jobgether (on behalf of a partner company)

Location: Brazil

Job Type: Full-time

Category: Content Design / Conversational AI / UX Writing

Date Posted: May 13, 2026

Experience Level: Senior (5-10 years)

Remote Status: Fully Remote

🚀 Role Summary

• Shape and optimize AI-driven conversational journeys for a financial assistant platform, focusing on user experience and business outcomes.

• Define and evolve the AI assistant’s tone of voice, ensuring clarity, consistency, accessibility, and natural interactions.

• Analyze user conversations and key metrics to identify pain points, drive continuous improvement, and inform A/B testing strategies.

• Collaborate closely with Product, Engineering, Data, and Marketing teams to align conversational AI features with business goals and drive product adoption.

• Apply UX writing best practices and share knowledge to promote a data-driven, user-centric approach to AI communication.

📝 Enhancement Note: This role is posted by Jobgether, meaning the application process will be managed through their AI-powered platform, which prioritizes rapid and objective candidate review. The focus on a "financial assistant platform" implies a need for precision, compliance awareness, and a strong understanding of user needs within financial contexts. The emphasis on "AI-driven user experiences" and specific AI technologies like LLMs and RAG indicates a need for candidates with forward-thinking expertise in generative AI and its application in user-facing products.

📈 Primary Responsibilities

• Design, develop, and optimize conversational flows and user journeys for an AI financial assistant, aiming to reduce friction and enhance user outcomes.

• Establish and refine the AI assistant’s distinct tone of voice, ensuring it is clear, consistent, accessible, and natural across all interactions.

• Strategize and implement improvements to conversational structures to boost resolution efficiency and conversion performance.

• Conduct in-depth analysis of real user conversations to pinpoint friction points, ambiguities, drop-off patterns, and opportunities for optimization.

• Continuously monitor critical performance indicators such as success rates, fallback occurrences, resolution times, and customer satisfaction scores.

• Translate data-driven insights into concrete, actionable improvements for conversational experiences and overall business performance.

• Design and execute A/B tests for various conversational elements, including messages, interaction flows, engagement strategies, and error recovery approaches.

• Partner effectively with Product, Data, Engineering, and Marketing teams to ensure conversational AI enhancements align seamlessly with overarching business objectives.

• Support strategic initiatives focused on customer activation, retention, and product adoption through expertly crafted conversational experiences.

• Champion UX writing best practices and facilitate knowledge sharing sessions across multidisciplinary teams to elevate content quality and consistency.

📝 Enhancement Note: The responsibilities highlight a blend of creative design, analytical rigor, and cross-functional collaboration. For a senior role, expect a high degree of autonomy in defining strategy and a significant impact on key business metrics. The "financial assistant platform" context suggests a need to understand user needs related to financial management, transactions, and advice, requiring careful consideration of tone and accuracy.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong educational background in fields such as Linguistics, Communications, Human-Computer Interaction (HCI), UX Design, Computer Science, or a related discipline is highly beneficial.

Experience: Minimum of 5-10 years of progressive experience in UX Writing, Content Design, or a similar role, with a demonstrable track record of simplifying complex user experiences.

Required Skills:

• Proven experience as a UX Writer, Content Designer, or similar role, with a strong portfolio showcasing the ability to simplify complex experiences.

• Demonstrated experience designing conversational AI solutions and chatbot interactions.

• A robust analytical mindset coupled with a deep sensitivity to user experience and communication clarity.

• Experience working with hypothesis-driven design and experimentation methodologies.

• Proven ability to connect UX decisions directly to business metrics and measurable outcomes.

• Exceptional attention to detail, particularly concerning language consistency and AI behavior.

• A strong ownership mindset and a commitment to continuous improvement.

• Deep understanding of core UX principles and design thinking methodologies.

• Excellent writing and communication skills, with the ability to adapt language for diverse audiences and contexts.

Preferred Skills:

• Experience with Design Systems and content governance practices.

• Knowledge of prompt engineering, Large Language Model (LLM) limitations, and Retrieval-Augmented Generation (RAG) concepts.

• Experience in fintech or financial services environments, understanding specific user needs and regulatory considerations.

• Experience conducting A/B testing and optimizing digital journeys.

• Familiarity with accessibility guidelines such as WCAG.

• Experience participating in user research activities, including usability testing and interviews.

• Familiarity with analytics tools such as Google Analytics, Hotjar, Databricks, or SQL.

📝 Enhancement Note: The "5-10 years" experience level suggests this role is for a seasoned professional expected to lead initiatives and mentor junior team members. The "nice to have" skills, particularly around prompt engineering, LLMs, RAG, and fintech, are highly relevant for a senior AI Content Designer, indicating the company is looking for someone with cutting-edge knowledge in generative AI applications.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing your UX writing and Content Design expertise, with a specific emphasis on conversational AI projects.

• Clear examples of how you've simplified complex user experiences and designed intuitive interactions.

• Case studies demonstrating the optimization of conversational flows, highlighting measurable improvements in user outcomes, resolution efficiency, or conversion rates.

• Evidence of your analytical approach, illustrating how you've used data and user feedback to iterate on and improve AI interactions.

Process Documentation:

• Showcase your experience in defining and documenting conversational design processes, including user research, content strategy, and iteration cycles.

• Provide examples of how you've used A/B testing and experimentation to validate design decisions and drive performance improvements.

• Demonstrate understanding of how to integrate conversational AI content design with broader product development workflows, including collaboration with engineering and data teams.

• Illustrate your approach to content governance within AI systems, ensuring scalability and consistency.

📝 Enhancement Note: For this senior role, the portfolio is critical. It should not just display finished work but also the strategic thinking, analytical process, and iterative design that led to successful outcomes. Emphasize quantifiable results and a deep understanding of AI-specific design challenges and opportunities.

💵 Compensation & Benefits

Salary Range: Competitive salary commensurate with senior-level experience and expertise in AI Content Design within the Brazilian market. While not specified, senior roles in specialized tech fields in Brazil can range from BRL 10,000 to BRL 25,000+ per month, depending on exact experience, location within Brazil, and the company's compensation strategy.

Benefits:

• Full-time CLT employment contract (Consolidação das Leis do Trabalho - Brazilian labor law).

• Fully remote work model with significant flexibility and home office support.

• Health and dental insurance with no coparticipation.

• Life insurance coverage.

• Comprehensive wellness support, including therapy and nutrition sessions.

• Flexible food allowance card.

• Childcare assistance and robust parental support programs.

• Extended maternity and paternity leave.

• Generous educational assistance for courses, books, degrees, and language programs.

• Home office allowance, furniture assistance, and provision of company equipment.

• Access to coworking spaces across Brazil for flexibility.

• Birthday day off.

• Referral bonus program and annual performance bonuses.

• Stock option plan, offering long-term equity.

• Collaborative, innovative, and informal work environment with no dress code.

Working Hours: Standard 40 hours per week, with a fully remote setup offering flexibility in how and when work is accomplished, as long as business objectives and team collaboration needs are met.

📝 Enhancement Note: The extensive benefits package, including CLT contract, extensive wellness and educational support, and stock options, indicates a commitment to employee well-being and long-term engagement. The "no coparticipation" health insurance and childcare assistance are particularly attractive benefits. The salary range is an estimate based on market data for senior tech roles in Brazil; candidates should expect a formal offer based on their qualifications and the partner company's internal bandings.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, FinTech (implied due to "financial assistant platform"). The partner company operates within the rapidly evolving AI and financial services sectors, leveraging technology to enhance customer interactions.

Company Size: Not explicitly stated, but the need for a Senior AI Content Designer and the mention of cross-functional teams suggest a growing company with established product development processes, likely in the startup to mid-size range.

Founded: Not specified, but the focus on AI and innovation implies a company that is either relatively new or has undergone significant transformation to prioritize AI development.

Team Structure:

• The role involves close collaboration with Product Managers, Data Scientists, AI Engineers, and Marketing specialists, indicating a matrixed or agile team structure.

• You will likely report to a Product Lead, Head of Design, or a dedicated AI/Conversational Design Manager.

Methodology:

• Data-Driven Experimentation: A strong emphasis on analyzing user data, conducting A/B tests, and using insights to drive iterative improvements in conversational design.

• User-Centric Design: Prioritizing user empathy, understanding pain points, and creating intuitive, efficient, and engaging experiences.

• Agile Development: Working within agile frameworks to ensure rapid iteration, flexibility, and continuous delivery of value.

• Collaborative Problem-Solving: Engaging with diverse teams to tackle complex challenges and align on strategic objectives.

Company Website: [Jobgether's partner company website details would be inserted here if available; otherwise, focus on Jobgether's platform.]

📝 Enhancement Note: The culture is likely fast-paced, innovative, and data-oriented, common in AI and FinTech startups. The remote-first approach suggests a trust-based environment that values autonomy and results. Collaboration is key, requiring individuals who can navigate cross-functional dynamics effectively.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level individual contributor role with significant strategic influence. It's positioned at the forefront of AI product development, offering opportunities to shape a key aspect of the user experience. This role is crucial for companies looking to leverage AI for customer engagement and operational efficiency.

Reporting Structure: You will report to a lead within the product or design organization, likely a Product Manager, Head of Design, or a specialized AI/Conversational Design Lead. You will collaborate extensively with cross-functional teams, including Engineering, Data Science, and Marketing.

Operations Impact: The role has a direct impact on customer satisfaction, user retention, operational efficiency (through automated assistance), and conversion rates within the financial assistant platform. By improving conversational AI, you contribute to reducing support costs, increasing user engagement, and driving core business objectives.

Growth Opportunities:

• Specialization: Deepen expertise in advanced AI technologies like LLMs, RAG, and prompt engineering, becoming a go-to expert in AI content strategy.

• Leadership: Transition into a team lead or management role within Conversational AI or Content Design, mentoring junior designers and shaping team strategy.

• Product Strategy: Influence the broader product roadmap by providing insights and recommendations based on conversational AI performance and user behavior.

• Cross-Functional Mobility: Develop a strong understanding of product development, data analysis, and marketing, potentially leading to roles in product management or UX strategy.

• Industry Expertise: Become a recognized expert in AI content design within the FinTech sector, presenting at conferences or contributing to industry best practices.

📝 Enhancement Note: This senior role offers substantial growth potential beyond traditional content design. The focus on AI and FinTech positions you for high-demand career paths. The opportunity to influence product strategy and potentially move into leadership roles is significant for ambitious professionals.

🌐 Work Environment

Office Type: Fully Remote. The company supports this through various means, including home office allowances, furniture assistance, and access to coworking spaces across Brazil. This indicates a commitment to providing a productive and flexible work environment regardless of physical location.

Office Location(s): While the role is fully remote, the mention of "coworking spaces across Brazil" suggests the partner company may have a presence or focus in various Brazilian regions, offering local hubs for those who prefer an office setting or need occasional workspace.

Workspace Context:

• Collaborative Tools: Expect extensive use of digital collaboration tools (e.g., Slack, Miro, Figma, project management software) to facilitate communication and teamwork across distances.

• Technology Access: The company provides necessary equipment and allowances to ensure a well-equipped home office, supporting efficient workflow and access to essential design and analytics tools.

• Team Interaction: Regular virtual meetings, stand-ups, and dedicated collaboration sessions will be standard, fostering a connected and engaged remote team environment.

Work Schedule: A 40-hour work week is standard, but the fully remote model emphasizes flexibility. This allows for work-life integration, enabling individuals to manage their schedules effectively while ensuring deliverables are met and team collaboration is maintained.

📝 Enhancement Note: The "fully remote" aspect is a key selling point, supported by practical benefits like home office and coworking allowances. This environment requires strong self-discipline, excellent asynchronous communication skills, and a proactive approach to collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether AI): Your application will be processed by Jobgether's AI for an objective initial review against core requirements.

• Hiring Manager Screen: A brief call with the hiring manager or a member of the partner company's team to discuss your background, experience, and interest in the role.

• Portfolio Review & Deep Dive: A more in-depth session where you'll present your portfolio, discuss specific case studies, and delve into your design process, analytical approach, and AI expertise. This is likely where you'll be asked to walk through your process for optimizing conversational AI.

• Technical/Skills Assessment (Potential): You might be given a short design challenge or a scenario-based exercise to assess your problem-solving skills, design thinking, and ability to apply AI content design principles.

• Final Interview: A discussion with senior stakeholders to assess cultural fit, strategic thinking, and overall alignment with the company's vision and values.

Portfolio Review Tips:

• Curate Selectively: Focus on 3-5 of your strongest, most relevant projects, particularly those involving conversational AI, complex UX simplification, and data-driven iteration.

• Quantify Impact: For each project, clearly articulate the problem, your role, your process, and the measurable results achieved (e.g., increased conversion, reduced error rates, improved CSAT). Use data and metrics effectively.

• Showcase Process: Detail your thinking – how you analyzed user data, conducted research, iterated on designs, and collaborated with teams. This is crucial for a senior role.

• Highlight AI Expertise: Specifically address how you've worked with AI, including any experience with prompt engineering, LLMs, or understanding AI limitations.

• Prepare to Discuss: Be ready to articulate your design philosophy, your approach to tone of voice, and how you balance creativity with analytical rigor.

Challenge Preparation:

• Understand the Context: If a challenge is provided, ensure you fully grasp the objective, the target audience (financial assistant users), and any constraints.

• Structure Your Response: Outline your approach clearly, including research methods, design considerations, potential solutions, and how you'd measure success.

• Focus on AI Nuances: Demonstrate awareness of conversational AI specifics – handling ambiguity, managing user expectations, and ensuring helpful, safe responses.

• Practice Presentation: Be ready to present your work concisely and persuasively, anticipating questions about your rationale and decision-making.

📝 Enhancement Note: The interview process emphasizes both your technical skills (portfolio, design challenges) and your strategic thinking. The AI-powered initial screening by Jobgether means your resume and profile need to be optimized with relevant keywords. The portfolio is your primary tool for demonstrating senior-level expertise.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD (for UI/UX design and prototyping of conversational interfaces).

• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Google Meet (for real-time and asynchronous team communication).

• Prototyping & Flow Mapping: Miro, Lucidchart, Whimsical (for visualizing conversational flows, user journeys, and brainstorming).

• Content Management/Design Systems: Tools for managing content libraries, style guides, and design system components.

Analytics & Reporting:

• Web/Product Analytics: Google Analytics, Hotjar, Amplitude, Mixpanel (for understanding user behavior, tracking conversions, and identifying drop-off points).

• Data Warehousing/Databases: Databricks, SQL (for querying and analyzing raw user conversation data and performance metrics).

• BI & Visualization Tools: Tableau, Power BI, Looker (for creating dashboards and reports to communicate insights).

CRM & Automation:

• CRM Platforms: Salesforce, HubSpot (understanding how conversational AI integrates with customer relationship management).

• AI/ML Platforms: Experience with platforms or frameworks related to conversational AI development, although specific tools may vary. Familiarity with LLM APIs and RAG architectures is a plus.

📝 Enhancement Note: Proficiency with design and collaboration tools is standard. The critical differentiator for this role will be experience with analytics tools (especially those capable of handling large datasets like Databricks or SQL) to derive insights from conversational data, and familiarity with AI/ML concepts and potential integration points.

👥 Team Culture & Values

Operations Values:

• User Empathy: A deep commitment to understanding and advocating for the user, ensuring AI interactions are helpful, intuitive, and respectful.

• Data-Driven Decision Making: Relying on data and analytics to inform design choices, measure impact, and drive continuous improvement.

• Innovation & Experimentation: A culture that encourages exploring new AI capabilities, testing hypotheses, and embracing iterative design.

• Collaboration & Transparency: Open communication and a willingness to work closely with diverse teams to achieve shared goals.

• Ownership & Accountability: Taking responsibility for outcomes and driving initiatives to completion, with a focus on delivering measurable business value.

• Efficiency & Effectiveness: Striving to create AI experiences that are not only engaging but also highly efficient in resolving user needs.

Collaboration Style:

• Cross-Functional Integration: Active participation in product development cycles, working alongside engineers, data scientists, and product managers.

• Constructive Feedback: A culture where feedback is openly shared and received, fostering continuous learning and improvement of conversational designs.

• Knowledge Sharing: Encouraging the dissemination of best practices, learnings from experiments, and insights into AI behavior across teams.

• Agile & Iterative: Collaborative work within agile sprints, with regular check-ins and a focus on rapid iteration and adaptation.

📝 Enhancement Note: The company values a blend of creative design thinking and rigorous analytical execution. Expect a dynamic environment where innovation is encouraged, but always grounded in user needs and measurable business results. Collaboration is emphasized, requiring strong interpersonal skills and a proactive approach to teamwork.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing AI Capabilities with User Needs: Effectively managing user expectations around AI, especially with LLMs, and ensuring the AI provides accurate, helpful, and safe responses within the financial domain.

• Data Interpretation Complexity: Deriving actionable insights from large volumes of conversational data, identifying subtle patterns, and translating them into design improvements.

• Cross-Functional Alignment: Ensuring consistent vision and execution across Product, Engineering, Data, and Marketing teams, especially when dealing with complex AI integrations.

• Staying Ahead of AI Advancements: Continuously adapting to the rapid evolution of AI technologies, prompt engineering techniques, and LLM capabilities.

• Fintech Specifics: Navigating the unique requirements of the financial services industry, including accuracy, security, and regulatory considerations, within conversational AI.

Learning & Development Opportunities:

• AI Specialization: Opportunities to become an expert in advanced AI topics like prompt engineering, LLM fine-tuning, and RAG architectures.

• FinTech Domain Expertise: Deepen knowledge of financial services, user needs, and industry trends, becoming a specialist in AI for finance.

• Product Strategy Influence: Gain exposure to broader product strategy discussions and contribute to the long-term vision of the AI assistant.

• Mentorship: Potential for mentorship from senior leaders in AI, Product, or Design, fostering career growth.

• Industry Engagement: Opportunities to attend conferences, workshops, and training sessions focused on AI, UX, and FinTech.

📝 Enhancement Note: This role presents significant challenges that are also excellent opportunities for growth. By tackling these head-on, you can develop highly sought-after skills in AI, FinTech, and strategic product design.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data analysis to significantly improve a conversational AI flow. What metrics did you focus on, and what was the outcome?" (Focus on your analytical process, data sources, and quantifiable results.)

• "How would you approach defining the tone of voice for an AI financial assistant serving a diverse customer base in Brazil?" (Consider cultural nuances, clarity, trust, and accessibility.)

Company & Culture Questions:

• "What interests you most about working with AI in the FinTech space, and specifically on a financial assistant platform?" (Show genuine curiosity and alignment with the company's mission.)

• "How do you approach collaboration with engineering and data teams when designing AI features?" (Highlight your communication skills and understanding of cross-functional workflows.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, follow a clear problem-solution-result framework.

• Emphasize Your Role: Clearly define your contributions, especially if it was a collaborative project.

• Show, Don't Just Tell: Use visuals, flow diagrams, and snippets of copy to illustrate your design decisions.

• Be Ready for Deep Dives: Anticipate questions about your rationale, alternative approaches considered, and the specific metrics used to measure success.

• Connect to the Role: Tailor your examples to highlight skills relevant to AI, FinTech, and data-driven optimization.

📝 Enhancement Note: Prepare to discuss your experience with AI-specific challenges and how you've leveraged data to drive design decisions. Your portfolio should be a central piece of your preparation, allowing you to demonstrate your senior-level expertise and strategic thinking.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, such as "Conversational AI," "UX Writing," "Content Design," "AI," "FinTech," "Data Analysis," "A/B Testing," and specific tools mentioned. Quantify your achievements with metrics where possible.

• Curate Your Portfolio: Ensure your portfolio is easily accessible (e.g., a dedicated website or PDF) and prominently features your most relevant AI and UX writing projects, showcasing your process and quantifiable results.

• Prepare for AI Screening: Understand that Jobgether uses AI for initial review. Ensure your application materials are clear, concise, and contain relevant keywords to maximize your match score.

• Research the Partner Company: If possible, gather information about the specific partner company to demonstrate your understanding and interest during interviews.

⚠️ 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 before making application decisions.