🎨 Service Designer (Pilotos y Experimentación) [OPEN TO ALL LATAM]

📍 Job Overview

Job Title: Service Designer (Pilotos y Experimentación)

Company: Tekton Labs

Location: Remote (Based in Lima, Peru)

Job Type: Full-Time (Part-time equivalent, 3 days/week)

Category: Innovation & Service Design Operations

Date Posted: April 15, 2026

Experience Level: Mid-Level (1-2 years)

Remote Status: Fully Remote

🚀 Role Summary

• Drive the operational execution of product and service pilots and experiments within agile cycles, focusing on rapid hypothesis testing and iterative development.

• Serve as a central operational hub, facilitating seamless collaboration between external partners, marketing, and design teams to ensure methodological alignment and efficient project flow.

• Leverage and actively test Artificial Intelligence (AI) tools, such as Claude and Perplexity, to significantly enhance productivity in design, documentation, and data analysis for innovation initiatives.

• Collect, analyze, and interpret both qualitative and quantitative data from experiments to inform strategic decision-making and optimize service offerings.

📝 Enhancement Note: This role is primarily focused on the operational execution of service design experiments, rather than purely conceptual or visual design. The emphasis on "Pilotos y Experimentación" (Pilots and Experimentation) and the explicit mention of "motor operativo de la innovación" (operational engine of innovation) highlight a need for strong project management, process facilitation, and data-driven execution skills within an agile framework. The role is part-time equivalent but full-time employment, suggesting a need for focused, high-impact work over a standard 5-day week.

📈 Primary Responsibilities

• Lead the end-to-end operational implementation of product and service experiments, managing agile cycles of approximately two months each.

• Act as a key facilitator and liaison between external partners, marketing departments, and design teams, ensuring clear communication and methodological consistency across all project phases.

• Develop and document detailed execution workflows, manage user sample groups, and meticulously record all stages of the experimentation process for robust analysis.

• Actively utilize and evaluate AI tools (e.g., Claude, Perplexity, automation agents) to streamline the design, documentation, and analysis phases of experiments, aiming to multiply team productivity.

• Gather, synthesize, and analyze data derived from pilot programs to provide evidence-based insights that support strategic decision-making and service optimization.

• Translate qualitative and quantitative findings into actionable recommendations for product and service improvements, directly influencing future development roadmaps.

• Ensure rigorous testing of hypotheses by defining clear success metrics and monitoring experiment performance against defined objectives.

📝 Enhancement Note: The responsibilities emphasize a hands-on, operational approach to service design, requiring a blend of project management, stakeholder coordination, and analytical skills. The explicit call-out for AI tool utilization suggests a forward-thinking approach to operational efficiency and innovation.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 1 to 2 years of demonstrated experience in roles such as Service Design, User Research, Innovation, or Product Incubation.

Required Skills:

• Operational Execution: Proven ability to manage and drive the operational implementation of experiments and pilots.

• Agile Methodologies: Strong understanding and practical experience with agile frameworks and rapid iteration cycles.

• AI Tool Proficiency: Experience or strong willingness to learn and actively use AI tools (e.g., Claude, Perplexity, automation agents) for design, documentation, and analysis.

• Data Analysis: Capacity to collect, analyze, and interpret qualitative and quantitative data to derive actionable insights.

• Stakeholder Management: Excellent ability to manage communication and relationships with diverse stakeholders, including external partners and internal departments.

• Process Documentation: Skill in clearly documenting workflows, methodologies, and experiment results.

• Autonomous Work: High degree of self-organization and ability to lead processes with minimal direct supervision.

• Analytical Thinking: Aptitude for critical evaluation of data and problem-solving.

Preferred Skills:

• Experience within the financial or pension fund sector.

• Familiarity with specific experimentation frameworks beyond basic MVP.

• Experience in user research methodologies.

📝 Enhancement Note: The experience requirement is specific to "1 to 2 years," placing this firmly in a mid-level operational role. The emphasis on "Pilotos y Experimentación" and "MVPs" suggests a need for practical, hands-on experience rather than just theoretical knowledge. The AI component is a key differentiator and should be highlighted by candidates.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Experimentation Case Studies: Showcase at least 1-2 detailed case studies of pilots or experiments you have operationally executed, focusing on the process from hypothesis to outcome.

• Process Documentation Examples: Include samples of workflow diagrams, user journey maps generated during experiments, or detailed process documentation created for pilot implementation.

• Data Analysis & Insights: Demonstrate how you have collected, analyzed, and presented data from experiments, highlighting key insights and their impact on decision-making.

• AI Tool Integration: If possible, include an example where AI tools were used to expedite or enhance a phase of your experimental process (e.g., generating documentation, analyzing feedback themes).

Process Documentation:

• Demonstrate a clear understanding of how to map and document complex operational workflows for new services or features.

• Showcase experience in creating clear, concise documentation that facilitates execution by cross-functional teams and external partners.

• Provide examples of how you have used documentation to track progress, identify bottlenecks, and facilitate iterative improvements within experiment cycles.

📝 Enhancement Note: For a role focused on "Pilotos y Experimentación" and "motor operativo," the portfolio should emphasize practical execution, process mapping, and data analysis rather than purely visual design outputs. The AI integration aspect is a unique requirement that candidates should aim to showcase.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Remote Work Flexibility: Fully remote position, allowing for work-life balance and the ability to work from anywhere within Peru (based in Lima).

• Impactful Innovation: Opportunity to contribute to projects that significantly improve the financial future and well-being of millions.

• Cutting-Edge Technology: Direct engagement with and utilization of advanced AI tools to enhance productivity and drive innovation.

• Agile & Experimental Culture: Be part of a team that embraces experimentation, continuous learning, and breaks traditional boundaries in a stable sector.

• Professional Development: Opportunities for growth within an innovation-focused environment, potentially expanding into new areas of operations and technology.

Working Hours:

• Part-time equivalent, equivalent to 3 days per week, with a focus on achieving defined objectives and deliverables rather than strict adherence to a 9-to-5 schedule. Total weekly hours are estimated around 24-28 hours.

📝 Enhancement Note: Salary estimation is based on Lima, Peru's cost of living and typical compensation for mid-level roles in tech/innovation, adjusted for the part-time equivalent nature. Benefits are drawn directly from the "Propuesta de Valor" section of the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (specifically Pension Fund Administration) and Technology Consulting. Tekton Labs partners with leading companies in these sectors.

Company Size: Tekton Labs is a growing technology consultancy. While specific numbers aren't provided, the mention of "líderes más importantes del sector financiero" suggests they work with established, large-scale organizations. The role is within an "Equipo de Innovación" for a pension administrator.

Founded: Tekton Labs was founded to transform how people plan their future. The specific founding date of Tekton Labs or the pension administrator isn't provided, but the context implies a focus on modernizing traditional financial services.

Team Structure:

• The role is part of the "Equipo de Innovación" (Innovation Team) at a leading Peruvian pension fund administrator.

• This team likely operates with a degree of autonomy and agility to experiment with new services and technologies.

Methodology:

• The team employs agile methodologies for rapid experimentation and iteration.

• A strong emphasis is placed on data-driven decision-making, using insights from pilots and experiments.

• Proactive adoption and testing of AI tools are integral to their operational strategy for enhancing efficiency.

Company Website: https://tektonlabs.com/ (Assuming this is the primary Tekton Labs website, as the job posting URL is for their Breezy HR portal).

📝 Enhancement Note: The company context highlights a unique blend of working within a traditional, regulated industry (pension funds) through a modern, agile, and tech-forward consultancy (Tekton Labs). This implies a culture that values both stability and innovation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Service Designer with a strong operational and experimental focus. It's an entry point into specialized innovation operations within a large financial institution, offering a unique pathway for those interested in the practical application of service design principles.

Reporting Structure:

• The Service Designer will report to a lead within the Innovation Team of the pension fund administrator.

Operations Impact:

• The role has a direct impact on testing and validating new services that aim to improve the financial planning and future well-being of millions of people.

• By executing pilots and analyzing results, the Service Designer directly influences strategic decisions, product roadmaps, and the overall customer experience within the pension fund sector.

Growth Opportunities:

• Specialization in Innovation Operations: Deepen expertise in managing and executing complex innovation pilots and experiments within a regulated industry.

• AI Integration Expertise: Become a go-to person for leveraging AI tools in design and operational processes, a highly valuable and growing skill set.

• Cross-Functional Leadership: Develop strong stakeholder management and facilitation skills by working across different departments and with external partners.

• Transition to Product Management/Strategy: Gain foundational experience in product incubation and validation, which can lead to roles in product management or strategic planning within the financial services sector.

• Consulting Growth: Potential to grow within Tekton Labs by taking on larger or more complex projects, or by specializing in specific innovation methodologies.

📝 Enhancement Note: The growth opportunities are framed around specialization in a niche area (innovation operations, AI in design) and the potential to transition into broader product or strategy roles, leveraging the unique experience gained in a traditional sector.

🌐 Work Environment

Office Type: Fully Remote. The role is "Basado en Lima" (Based in Lima), indicating that while remote, there might be an expectation for occasional in-person collaboration or team events in Lima, though the primary mode of work is remote.

Office Location(s): Remote, with a geographical anchor in Lima, Peru. This suggests candidates must be legally able to work remotely from Peru.

Workspace Context:

• Collaborative Environment: While remote, the role requires active collaboration with various internal teams (marketing, design) and external partners, necessitating strong virtual communication and teamwork skills.

• Technology Focus: Access to and proficient use of modern digital tools, including AI applications, is central to the daily work environment.

• Innovation Hub: The work is embedded within an innovation team, suggesting a dynamic, fast-paced, and forward-thinking atmosphere.

Work Schedule:

• Part-time equivalent, approximately 3 days per week. This offers flexibility but demands efficient time management and a results-oriented approach. The focus is on delivering experiment objectives within defined agile cycles.

📝 Enhancement Note: The "Basado en Lima" remote aspect might imply a need for candidates to be within a specific time zone (America/Lima) for effective collaboration, even if not required to be in a physical office.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV and portfolio to assess experience in service design, experimentation, and AI tool usage.

• Aptitude/Case Study: A practical exercise or case study focused on designing and outlining the operational execution of a pilot for a new financial service. This will likely assess analytical thinking, process mapping, and problem-solving skills.

• Stakeholder Simulation: A potential interview segment simulating interactions with different stakeholders (e.g., a marketing manager, an external partner) to gauge communication and facilitation abilities.

• AI Tool Discussion: Questions specifically probing your experience and ideas for leveraging AI in the design and execution of experiments.

• Cultural Fit & Motivation: Discussion about your passion for innovation, impact on financial well-being, and ability to thrive in an agile, experimental environment.

Portfolio Review Tips:

• Focus on Operations: Clearly articulate your role and actions in the operational execution of pilots/experiments. Use "I" statements to describe your specific contributions.

• Show, Don't Just Tell: For each case study, include visuals of process flows, data summaries, or documentation samples.

• Quantify Impact: Whenever possible, present metrics and outcomes that demonstrate the success or learnings from your experiments. Highlight how data informed decisions.

• Highlight AI Usage: If you have examples of using AI tools (Claude, Perplexity, etc.) to streamline design, documentation, or analysis, make this a prominent part of your presentation. Explain the benefits achieved.

• Structure for Clarity: Organize your portfolio around key projects, clearly outlining the problem, your approach (especially the operational steps), the tools used (including AI), the results, and key learnings.

Challenge Preparation:

• Hypothesis to Execution: Be prepared to outline the operational steps required to test a specific hypothesis for a new financial product/service.

• Data Interpretation: Practice analyzing hypothetical qualitative and quantitative data and deriving actionable insights.

• Stakeholder Alignment: Think about how you would communicate project status, challenges, and results to different audiences (e.g., senior management, technical teams, marketing).

• AI Integration Scenarios: Consider how AI tools could be applied to various stages of the experimentation process (e.g., user interview analysis, competitor research, documentation generation).

📝 Enhancement Note: The interview process is tailored towards assessing operational execution, analytical skills, and AI adoption, reflecting the core requirements of the role. Portfolio advice focuses on demonstrating these specific capabilities.

🛠 Tools & Technology Stack

Primary Tools:

• AI Tools: Claude, Perplexity, and other AI agents for content generation, research, analysis, and automation. Candidates are expected to be proficient or quickly learn these.

• Project Management Software: Tools like Jira, Asana, Trello, or similar for managing agile sprints and experiment timelines.

• Collaboration Platforms: Slack, Microsoft Teams, or similar for real-time communication and team coordination.

Analytics & Reporting:

• Data Analysis Tools: Proficiency in tools like Excel, Google Sheets, or potentially more advanced tools like Tableau, Power BI, or even basic SQL for analyzing experiment data.

• Survey & Feedback Tools: Platforms such as SurveyMonkey, Typeform, or Google Forms for collecting user feedback during pilots.

• Documentation Tools: Google Workspace (Docs, Sheets, Slides), Notion, or Confluence for creating and sharing process documentation and experiment reports.

CRM & Automation:

• While not explicitly a CRM role, understanding how customer data is managed and how automation can support user segmentation or feedback collection in experiments might be beneficial. Familiarity with marketing automation basics could be a plus.

📝 Enhancement Note: The prominent mention of specific AI tools (Claude, Perplexity) is a key differentiator and should be a significant focus for candidates. The role requires operational proficiency with standard project management and documentation tools.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong commitment to creating tangible improvements in people's financial futures and well-being.

• Experimental Mindset: A culture that encourages calculated risk-taking, learning from failures, and continuous iteration.

• Data-Centricity: Decisions are guided by evidence derived from rigorous testing and analysis.

• Agile & Efficient: A focus on speed, adaptability, and optimizing processes for rapid delivery.

• AI Integration: Embracing and actively exploring how AI can enhance human capabilities and operational efficiency.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration between innovation, design, marketing, and potentially product development teams.

• Open Communication: Encouraging direct and transparent communication, especially during the fast-paced cycles of experimentation.

• Partnership-Oriented: Working closely with external partners to ensure smooth execution of pilots.

• Feedback-Rich: A culture where constructive feedback is welcomed and used for continuous improvement of processes and services.

📝 Enhancement Note: The culture emphasizes innovation, data, and efficiency, with a unique integration of AI as a core operational value. This suggests a dynamic and forward-thinking team environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Traditional Sectors: Balancing agile experimentation with the regulatory and stability requirements of the financial/pension fund industry.

• AI Tool Integration: Effectively identifying and implementing AI tools to genuinely enhance, rather than complicate, the operational workflow.

• Data Scarcity in Early Stages: Often, early-stage pilots have limited data; developing strategies to extract maximum insight from small datasets.

• Managing Multiple Experiments: Juggling the operational demands of several concurrent or sequential pilots with varying timelines and complexities.

Learning & Development Opportunities:

• Mastering AI for Operations: Deep dive into practical applications of AI for service design, documentation, and data analysis.

• Financial Services Innovation: Gain specialized knowledge in the unique challenges and opportunities of innovating within the pension and financial planning sector.

• Advanced Experimentation Techniques: Develop expertise in designing and executing sophisticated A/B tests, multivariate tests, and other advanced experimentation frameworks.

• Operational Excellence: Refine skills in process mapping, workflow optimization, and project management within an agile, innovation-focused context.

📝 Enhancement Note: The challenges are specific to the intersection of innovation, AI, and a regulated industry. Growth opportunities are framed around leveraging these challenges into specialized skill development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you operationalized a service experiment. What were the key steps, challenges, and outcomes?" (Focus on your role, process steps, and data).

• "How would you use AI tools like Claude or Perplexity to accelerate the design and documentation of a new pension savings feature pilot?" (Be specific about tool application).

Company & Culture Questions:

• "Why are you interested in applying AI to service design and experimentation in the financial sector?" (Connect your passion to the company's mission).

• "How do you approach collaboration with diverse stakeholders, especially when dealing with traditional industries?" (Highlight communication and facilitation skills).

Portfolio Presentation Strategy:

• Narrative Arc: For each case study, tell a story: the problem/hypothesis, your operational approach, the tools (especially AI) you employed, the results/learnings, and the impact.

• Visual Clarity: Use clear flowcharts, data visualizations, and concise text. Ensure your documentation samples are easy to read.

• Highlight AI Contribution: Dedicate a specific point or slide to explaining how AI tools were leveraged and the benefits they provided (e.g., time saved, improved analysis quality).

• Focus on Process: Emphasize the "how" – the operational steps you took, the decisions you made, and the processes you managed.

• Be Ready for Deep Dives: Anticipate questions about specific metrics, data sources, or challenges encountered during your projects.

📝 Enhancement Note: Interview preparation advice is geared towards demonstrating operational execution, AI proficiency, analytical rigor, and a genuine understanding of the company's mission and industry.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Breezy HR link.

• Tailor Your CV: Highlight keywords related to service design, experimentation, agile methodologies, AI tools (mention Claude, Perplexity if applicable), data analysis, and stakeholder management. Quantify achievements where possible.

• Curate Your Portfolio: Select 1-2 strong case studies that best showcase your operational execution of pilots/experiments. Ensure they clearly illustrate your process, data analysis, and any AI tool usage. Prepare to walk through these in detail.

• Research Tekton Labs & the Sector: Understand Tekton Labs' mission and the challenges/opportunities within the Peruvian financial/pension sector. This will help you tailor your answers and demonstrate genuine interest.

• Prepare for an AI Discussion: Be ready to articulate your thoughts on using AI in design and operations, and be prepared to discuss your experience with relevant tools.

⚠️ 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.