Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Florianópolis, Santa Catarina, Brazil

Job Type: Full-time

Category: User Experience Research / Operations

Date Posted: 2026-08-25

Experience Level: 5-10 years

Remote Status: Fully Remote

🚀 Role Summary

• Drive end-to-end UX research initiatives for an IT and Operations employee experience portfolio, focusing on AI-enabled self-service and enterprise tooling.

• Independently scope, execute, and synthesize mixed-method studies to uncover actionable insights for strategic decision-making.

• Maintain and evolve a robust jobs-to-be-done (JTBD) framework to guide product and operational tooling evaluations.

• Collaborate closely with product, service, and operational teams to validate tooling solutions prior to widespread adoption.

• Deliver clear, decision-ready recommendations and research artifacts to diverse stakeholder groups.

📝 Enhancement Note: This role is positioned as a Senior Individual Contributor, emphasizing autonomy and a deep, hands-on approach to UX research within an operational context. The focus on "IT and Operations employee experience portfolio" and "enterprise tooling" clearly places this role within the realm of internal operations and GTM enablement, requiring a strong understanding of how user experience directly impacts operational efficiency and employee productivity.

📈 Primary Responsibilities

• Independently plan and conduct mixed-method (qualitative and quantitative) research studies aligned with priority IT & Ops initiatives, from initial ambiguity to actionable recommendations.

• Design and moderate research to evaluate AI-enabled self-service experiences and identify opportunities to enhance IT support interactions.

• Execute studies to test AI skills concepts, pinpointing essential jobs-to-be-done, adoption barriers, and crucial trust or validation needs before product rollout.

• Synthesize research findings into clear, concise recommendations, comprehensive research artifacts, and impactful stakeholder readouts that detail implications and suggested next steps.

• Maintain, extend, and operationalize the jobs-to-be-done (JTBD) framework, ensuring it accurately reflects jobs across the organization and informs the endorsed tool suite.

• Develop detailed research plans, participant recruitment strategies, and all necessary study materials for key initiatives.

• Present decision-ready findings and strategic recommendations that span AI-enabled self-service, AI skills, collaboration tools, and business process optimization opportunities.

• Partner proactively with product, service, and operational teams to validate tooling decisions, ensuring alignment and effectiveness before scaling.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on "enterprise tooling" and "operational workflows," indicating that success in this role will require not just user research skills but also an understanding of how technology impacts internal business processes and employee productivity. The JTBD framework is a critical component, suggesting a need for strategic thinking beyond immediate user needs to understand underlying motivations and goals that drive tool adoption and effectiveness within an operational context.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for a Senior UX Researcher role.

Experience: A minimum of 5+ years of hands-on UX research experience at a senior individual-contributor level, demonstrating a proven ability to independently scope, execute, and synthesize research studies.

Required Skills:

• Deep expertise in qualitative and quantitative research methodologies, including study design, execution, and rigorous analysis.

• Proven experience researching enterprise internal tools, employee experience, or complex cross-functional operational workflows.

• Demonstrated ability to translate complex research findings into clear, actionable, and decision-ready recommendations for product and operational stakeholders.

• Strong experience developing and applying a jobs-to-be-done (JTBD) or comparable strategic research framework across multiple initiatives, and translating it into tangible product and operational decisions.

• Collaborative stakeholder management skills, effectively engaging with product, design, engineering, operations, and service teams.

• Excellent written and verbal communication abilities, including the capacity for concise research readouts and executive-ready storytelling.

• Proficiency with common research platforms for participant recruitment, moderated and unmoderated studies, surveys, and data synthesis.

• Experience working within enterprise product, service, and operational workflows.

• Comfort leveraging collaboration and documentation systems to maintain traceable research artifacts, findings, and decisions.

• Upper-intermediate English proficiency. Preferred Skills:

• Experience researching AI-enabled products, assistants, automation, or emerging technology adoption, with a focus on trust, validation behaviors, user reliance, and rollout readiness.

• Experience with employee experience platforms, IT service management (ITSM) tools, self-service support portals, or digital workplace technologies.

• Proven ability to apply or evolve a jobs-to-be-done framework across diverse product or service areas.

• A track record of research that has directly influenced enterprise tooling decisions, AI adoption strategies, or service experience improvements.

• Ability to connect individual research studies to a broader, ongoing strategic framework.

• Demonstrated success in translating complex findings into concrete actions that enhance self-service capabilities, reduce user confusion, or streamline operational workflows.

• Experience partnering through product launch phases and contributing to measurement strategies, extending beyond initial study delivery.

📝 Enhancement Note: The emphasis on "enterprise internal tools," "employee experience," and "operational workflows" suggests a need for candidates who understand the unique challenges and user needs within a corporate environment, distinct from consumer-facing products. The preference for AI research experience aligns with the role's focus on AI-enabled self-service and AI skills, indicating a forward-looking approach to technology adoption within operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate end-to-end UX research project lifecycles, showcasing your ability to independently manage studies from inception to actionable insights.

• Highlight case studies of research conducted on enterprise internal tools, employee experience initiatives, or complex operational workflows, emphasizing the impact of your findings.

• Showcase examples of how you have applied or evolved a Jobs-to-Be-Done (JTBD) framework or a similar strategic research approach to inform product and operational decisions.

• Include examples of synthesized research findings and stakeholder readouts, demonstrating your ability to communicate complex information clearly and persuasively to diverse audiences, including operational and product leaders.

• Provide evidence of your ability to select and execute mixed-method research (qualitative and quantitative), explaining your rationale for methodology choices. Process Documentation:

• Showcase your approach to developing comprehensive research plans, including participant recruitment strategies and study material creation for complex initiatives.

• Illustrate your process for synthesizing findings into decision-ready recommendations and research artifacts that clearly articulate implications and next steps for operational teams.

• Present your methods for maintaining and extending strategic research frameworks like JTBD, showing how these frameworks are operationalized to guide tooling evaluations and decisions.

• Detail your experience using collaboration and documentation systems to ensure traceable research artifacts, findings, and decisions are maintained.

📝 Enhancement Note: For a Senior UX Researcher role focused on internal operations and enterprise tooling, a portfolio should strongly emphasize the impact of research on business outcomes, operational efficiency, and employee productivity. Demonstrating a strategic approach, particularly through frameworks like JTBD, and the ability to communicate complex findings to operational stakeholders will be critical. The inclusion of "research repositories and documentation tools" suggests a need to showcase familiarity with systems that support knowledge management and collaboration within an operational context.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX Researchers with 5-10 years of experience in remote positions, and considering the company's Inc. 5000 status, a competitive salary range for Florianópolis, Brazil, would typically be between R$ 10,000 to R$ 18,000 per month, or approximately $60,000 to $110,000 USD annually, depending on specific experience, skill set, and negotiation.

Benefits:

• Growth without limits: Access to mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget to foster professional development.

• Competitive compensation: Recognition for skills and impact, with regular performance and compensation reviews to ensure fair remuneration.

• Flexibility: Enjoy 100% remote work with flexible hours designed to support focus, autonomy, and a healthy work-life rhythm.

• Meaningful, modern projects: Contribute to impactful products using modern technologies alongside global teams and leading brands.

• Collaborative culture: Be part of a supportive, people-first environment where ideas are welcomed and contributions are recognized, with a focus on zero micromanagement.

• Well-being & support: Access to local well-being programs and people-focused support tailored to your location, promoting overall health and support.

Working Hours: The role is specified as full-time. While the exact number of hours is not detailed, it is standard to assume a 40-hour work week. The "flexible hours" benefit suggests that while the total hours are consistent, there is autonomy in scheduling them to support focus and work-life integration.

📝 Enhancement Note: Salary estimation for Florianópolis, Brazil, has been based on current market data for senior-level tech roles, adjusted for the remote nature of the position and the company's established reputation. The benefits package is comprehensive, with a strong emphasis on professional development, flexibility, and well-being, which are attractive to operations professionals seeking long-term career growth and a supportive work environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: AgileEngine operates within the Software Development and IT Services industry, specializing in application development, AI/ML, and creating award-winning software solutions for a diverse range of clients, from Fortune 500 brands to trailblazing startups across 17+ industries. This broad industry exposure means operations teams often support varied business models and technological stacks.

Company Size: AgileEngine is an Inc. 5000 company, indicating significant growth and a substantial employee base, likely ranging from 250 to over 1000 employees. This size suggests a structured environment with established processes, but also ample opportunity for impact and career advancement within its operations functions.

Founded: Founded in 2011, AgileEngine has over a decade of experience building and delivering software solutions. This history implies a level of maturity in its operational frameworks and a stable foundation for its people-first culture, which has earned it multiple "Best Place to Work" awards.

Team Structure:

• The UX Research team likely operates within a broader Product or Engineering organization, with a focus on supporting internal IT and Operations employee experience portfolios.

• Reporting structure is expected to be to a UX Research Lead or Director, with close collaboration with Product Managers, Service Owners, and Operations Managers.

• Cross-functional collaboration is a key aspect, involving close partnerships with Product, Design, Engineering, Service Delivery, and various Operational teams to ensure tooling decisions are well-informed and validated. Methodology:

• Data Analysis and Insights: Emphasis on rigorous data analysis from mixed-method research to derive actionable insights that inform strategic decisions for enterprise tooling and employee experience.

• Workflow Planning and Optimization: Utilizing frameworks like Jobs-to-Be-Done (JTBD) to understand user needs and optimize workflows within IT and Operations contexts, ensuring tools align with employee job functions.

• Automation and Efficiency Practices: Research efforts will likely evaluate and inform the adoption of AI-enabled self-service and automation tools, aiming to improve operational efficiency and employee productivity.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's designation as an Inc. 5000 company and its multiple "Best Place to Work" awards suggest a dynamic, growth-oriented organization with a strong emphasis on employee satisfaction and a robust operational infrastructure. The focus on "people-first culture" and "zero micromanagement" indicates a collaborative and empowering environment, which is highly appealing to operations professionals who thrive on autonomy and impact.

📈 Career & Growth Analysis

Operations Career Level: This role is a Senior Individual Contributor, signifying a high level of autonomy and expertise. It requires the ability to independently lead complex research initiatives, influence strategic decisions, and mentor junior team members implicitly through example. The scope extends across multiple IT & Ops initiatives, demanding strategic thinking and long-term framework management (like JTBD).

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager or Director. They will work closely with various cross-functional teams, including Product Management, IT Operations, Service Delivery, and potentially HR or internal enablement departments, acting as a key advisor on employee experience and tooling decisions.

Operations Impact: The UX Researcher's impact is critical for optimizing the internal employee experience, particularly within IT and Operations. By evaluating AI-enabled self-service, enterprise tooling, and complex workflows, this role directly influences operational efficiency, employee productivity, adoption rates of new technologies, and overall satisfaction with internal systems. The JTBD framework ensures that tooling decisions are strategically aligned with how employees actually perform their jobs, driving significant ROI for the organization.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in researching AI-enabled technologies, employee experience within enterprise environments, and advanced mixed-method research techniques.

• Strategic Framework Development: Opportunity to lead the evolution and application of the JTBD framework across various operational domains, influencing long-term tooling strategy.

• Leadership Through Influence: Develop leadership capabilities by guiding product and operational roadmaps through impactful research insights, potentially mentoring junior researchers or driving best practices across teams.

• Cross-Functional Expertise: Gain broad exposure to different facets of IT and Operations, enhancing understanding of enterprise systems, service delivery, and business processes.

📝 Enhancement Note: The "Senior" title and emphasis on independent leadership of research initiatives suggest a clear path for growth, either into a Principal UX Researcher role, a management position within UX Research, or a specialized role in Product Strategy or Operations Research. The focus on internal tooling and employee experience research offers a unique opportunity to impact the core operational efficiency of AgileEngine.

🌐 Work Environment

Office Type: This position is 100% remote, offering significant flexibility and autonomy. While there isn't a physical office requirement, the company culture emphasizes collaboration and well-being, suggesting a commitment to virtual team cohesion and support.

Office Location(s): The job is remote, with a specific mention of Florianópolis, Santa Catarina, Brazil, as a primary location for talent sourcing or existing operations. This indicates that while remote, there might be a focus on specific time zones or regional talent pools for easier collaboration and support.

Workspace Context:

• Collaborative Environment: Despite being remote, the company fosters a collaborative culture with "zero micromanagement" and an emphasis on welcoming ideas. This suggests active use of virtual collaboration tools and a focus on open communication.

• Operations Tools and Technology: Access to common research platforms for recruitment, moderated/unmoderated studies, surveys, and synthesis is expected. Familiarity with collaboration and documentation systems for maintaining traceable research artifacts is also crucial.

• Team Interaction: Remote team interaction will likely occur through video conferencing, instant messaging, and project management tools, with regular opportunities for research readouts and stakeholder discussions.

Work Schedule: The role is full-time with "flexible hours." This allows individuals to manage their workdays to optimize focus and productivity, while still ensuring availability for critical meetings and collaborative sessions, likely within the "America/Managua" timezone cluster, which aligns with Central America and potentially parts of South America, or a common operational timezone for global teams.

📝 Enhancement Note: The 100% remote and flexible hours arrangement is a significant draw for operations professionals who value work-life integration. The emphasis on a collaborative remote culture and "people-focused support" indicates a mature approach to distributed team management, essential for effective operations work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess direct experience in UX research, especially with enterprise tools and strategic frameworks like JTBD.

• Hiring Manager Interview: A discussion focusing on your experience, research methodologies, stakeholder management skills, and understanding of employee experience within operational contexts. Be prepared to discuss your approach to scoping and executing mixed-method studies independently.

• Portfolio Presentation/Case Study: A session where you present one or more key research projects from your portfolio. This is where you'll demonstrate your ability to articulate research plans, findings, JTBD applications, and recommendations for enterprise tooling and operational improvements.

• Cross-functional Team Interviews: Meetings with Product Managers, Service Owners, and potentially Operations leads to assess your collaborative style, communication clarity, and ability to integrate research insights into their workflows.

• Final Interview: Potentially with a senior leader to discuss overall fit, strategic thinking, and long-term contributions to AgileEngine's operations and employee experience initiatives.

Portfolio Review Tips:

• Showcase Impact on Operations: Prioritize case studies that demonstrate how your research directly influenced decisions related to enterprise tooling, AI adoption, or workflow optimization within an operational setting. Quantify impact where possible (e.g., improved efficiency, reduced support tickets, higher adoption rates).

• Highlight JTBD Application: Clearly explain how you developed, applied, or evolved a Jobs-to-Be-Done framework. Detail the process and how it informed product/operational decisions, linking it to specific outcomes.

• Demonstrate Mixed-Methods Proficiency: Present projects that effectively integrate qualitative and quantitative data, explaining your rationale for using each method and how they complemented each other.

• Focus on Deliverables: Showcase your research plans, participant strategies, synthesis artifacts, and, most importantly, your decision-ready recommendations and stakeholder readouts. Ensure these are clear, concise, and visually compelling.

• Address AI & Enterprise Tooling: If possible, include examples of research related to AI-enabled products, internal enterprise systems, or complex workflows, demonstrating your understanding of this specific domain.

Challenge Preparation:

• Strategic Research Design: Be ready to discuss how you would approach a hypothetical research problem related to an internal enterprise tool or AI-driven self-service experience, including methodology, participant recruitment, and key questions.

• Stakeholder Communication: Prepare examples of how you have successfully managed difficult stakeholders or communicated complex research findings to non-research audiences, particularly in operational or product contexts.

• JTBD Framework Application: Anticipate questions about how you would apply or refine the JTBD framework within AgileEngine's operational environment, or how you've used similar frameworks to drive strategic alignment.

📝 Enhancement Note: The interview process emphasizes practical application of UX research skills within an operational context. The portfolio review is critical, requiring candidates to demonstrate not just research competence but also strategic thinking, stakeholder influence, and the ability to drive tangible improvements in employee experience and operational efficiency through their work.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting, Respondent.io), moderated and unmoderated studies (e.g., UserTesting, Lookback, Maze), survey creation (e.g., SurveyMonkey, Typeform, Qualtrics), and data synthesis (e.g., Dovetail, Condens).

• Collaboration & Documentation Systems: Experience with tools like Confluence, Notion, Jira, or similar systems for maintaining traceable research artifacts, findings, project documentation, and knowledge repositories.

• AI & Emerging Tech Research Tools: Familiarity with tools or methodologies for evaluating AI-enabled products, user trust, adoption barriers, and automation features.

Analytics & Reporting:

• Data Analysis Software: Skills in analyzing qualitative and quantitative data using tools such as Excel, Google Sheets, SPSS, R, or Python, depending on the depth of quantitative analysis required.

• Visualization Tools: Ability to create clear and impactful visualizations of research data using tools like Tableau, Power BI, or advanced charting features within other platforms to support stakeholder readouts.

CRM & Automation:

• While not directly a CRM role, understanding how user research insights can inform the development or improvement of enterprise tools, including those that might integrate with or support CRM functionalities, is beneficial.

• Familiarity with workflow automation concepts and how UX research can identify opportunities for streamlining processes within enterprise systems.

📝 Enhancement Note: The emphasis on "common research platforms," "collaboration and documentation systems," and "research repositories" points to a need for candidates who are not only skilled in research methodologies but also adept at managing and organizing research data within enterprise-grade systems. This is crucial for maintaining a consistent and accessible knowledge base for operational decision-making.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering research that has a tangible impact on employee experience, operational efficiency, and strategic tooling decisions. Decisions are guided by data and user needs, not just assumptions.

• Collaboration & Transparency: Open communication and strong partnerships across product, engineering, service, and operations teams. Research findings and processes are shared transparently to foster collective understanding and alignment.

• Continuous Improvement: A commitment to constantly refining research methodologies, frameworks (like JTBD), and processes to ensure maximum effectiveness and efficiency.

• User-Centricity: A deep understanding that optimizing the employee experience through effective tooling is paramount to overall business success, even within internal operations.

• Data-Driven Decision Making: Research is not just about gathering insights; it's about providing the evidence needed to make informed, strategic choices that drive business value.

Collaboration Style:

• Proactive Partnership: Actively engaging with cross-functional teams to understand their challenges and integrate research into their planning cycles, rather than working in isolation.

• Iterative Feedback: Embracing a culture of continuous feedback, both giving and receiving, to refine research approaches and ensure findings are relevant and actionable for all stakeholders.

• Knowledge Sharing: Encouraging the sharing of research insights, methodologies, and best practices across teams to build a collective understanding of user needs and operational challenges.

📝 Enhancement Note: AgileEngine's "people-first culture" and "zero micromanagement" are strong indicators of a collaborative and empowering environment. For an operations role, this translates to a culture that values open communication, mutual respect, and a shared commitment to improving internal processes and employee well-being through thoughtful technology adoption and user-centered design.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Enterprise Environments: Understanding and researching within intricate IT and Operations structures, with diverse stakeholder needs and existing legacy systems.

• Balancing Rigor with Speed: Delivering high-quality, actionable research insights in a timely manner to support fast-paced product and operational decision-making cycles.

• Translating Insights into Action: Ensuring that research findings are effectively communicated and adopted by product and operational teams, overcoming potential resistance or differing priorities.

• Evolving AI Landscape: Staying abreast of rapid advancements in AI and automation and adapting research methodologies to effectively evaluate these emerging technologies within an enterprise context.

• Maintaining JTBD Framework: Continuously updating and ensuring the relevance of the JTBD framework across multiple evolving initiatives, making it a living, actionable tool for the organization.

Learning & Development Opportunities:

• Specialized AI Research: Opportunities to hone skills in researching AI-enabled products, focusing on user trust, adoption, and ethical considerations within enterprise settings.

• Strategic Framework Mastery: Deepen expertise in the application and evolution of strategic research frameworks like Jobs-to-Be-Done, influencing organizational strategy.

• Cross-Functional Impact: Develop a comprehensive understanding of enterprise IT and Operations by working closely with diverse teams, enhancing your ability to impact business outcomes.

• Mentorship and Knowledge Sharing: Participate in internal learning sessions and potentially mentor junior researchers, solidifying your expertise and leadership potential.

📝 Enhancement Note: The challenges presented are typical for senior roles focused on internal operations and complex technology adoption. They offer significant opportunities for professional growth by pushing candidates to develop advanced problem-solving, strategic thinking, and communication skills within a dynamic corporate environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex mixed-method UX research study for an enterprise internal tool. What was the challenge, your approach, and the outcome?" (Focus on your process, methodology selection, and impact on operational decisions.)

• "How would you apply or evolve a Jobs-to-Be-Done framework to evaluate a new AI-powered self-service portal for IT support? What would be your first steps?" (Demonstrate strategic thinking and understanding of JTBD application in an operational context.)

• "How do you ensure your research findings translate into actionable recommendations for product and operational stakeholders, especially when dealing with complex workflows or resistance to change?" (Highlight your communication, persuasion, and stakeholder management skills.) Company & Culture Questions:

• "What interests you most about researching employee experience within IT and Operations at AgileEngine, given our focus on AI and enterprise tooling?" (Show your understanding of the role's unique context and your alignment with the company's mission.)

• "Describe your experience working in a 'people-first' culture with 'zero micromanagement.' How do you thrive in such an environment, and what is your approach to collaboration?" (Assess your fit with AgileEngine's stated culture.)

• "How do you measure the impact of your research, particularly when it influences enterprise tooling or AI adoption decisions?" (Focus on metrics, ROI, and long-term value.) Portfolio Presentation Strategy:

• Structure for Impact: Organize your presentation around 1-2 key projects that best showcase your end-to-end research process, JTBD application, and impact on enterprise tooling or operational efficiency.

• Tell a Story: Frame each case study as a narrative: the problem/opportunity, your research approach (methodology, JTBD integration), key findings, actionable recommendations, and the eventual impact or influence on decisions.

• Quantify Where Possible: Use metrics to demonstrate the value of your research (e.g., "Research led to a 15% reduction in support ticket resolution time," or "Insights informed tooling decisions that improved user adoption by X%").

• Highlight Collaboration: Clearly articulate how you partnered with product, service, and operational teams throughout the research process.

• Prepare for Deep Dives: Be ready to answer detailed questions about your methodology, data analysis, stakeholder interactions, and the strategic implications of your work.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, a deep understanding of enterprise operations, and the ability to translate complex UX research into actionable business value. Highlighting experience with JTBD and AI-enabled technologies will be crucial for aligning with the specific requirements of this role.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the provided link on the Zoho Recruit portal.

• Customize your resume to highlight your 5+ years of hands-on UX research experience, emphasizing your work with enterprise internal tools, employee experience, and complex operational workflows. Use keywords from the job description, such as "mixed-method research," "Jobs-to-Be-Done framework," and "AI-enabled self-service."

• Prepare your portfolio carefully. Select 1-2 case studies that best demonstrate your ability to independently scope and execute research, apply strategic frameworks like JTBD, and deliver actionable recommendations that influenced enterprise tooling or operational decisions. Ensure your portfolio clearly showcases your mixed-method research skills and communication capabilities.

• Practice your portfolio presentation. Be ready to articulate your research process, findings, and impact clearly and concisely, anticipating questions about your methodology, stakeholder management, and the strategic value of your work.

• Research AgileEngine. Understand their industry, products, and company culture. Prepare specific questions to ask about their IT and Operations employee experience initiatives, their approach to AI adoption, and how UX research contributes to their strategic goals.

⚠️ 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.