Product Analyst, AI & UX Optimization

📍 Job Overview

Job Title: Product Analyst, AI & UX Optimization

Company: Afficiency

Location: New York, New York, United States

Job Type: Full-time

Category: Operations & Analytics

Date Posted: August 13, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Drive measurable product and user experience (UX) improvements through data-driven analysis and AI-powered solutions.

• Identify and resolve user friction, confusion, and drop-off points within digital insurance application journeys and agent tools.

• Leverage AI tools to prototype, build, and implement direct fixes, rather than solely recommending changes.

• Collaborate closely with product, engineering, and underwriting teams to scope, develop, and deploy enhancements.

📝 Enhancement Note: This role is positioned at the intersection of product analysis, UX optimization, and operational efficiency, with a strong emphasis on hands-on execution using AI. The "Product Analyst" title, combined with responsibilities focused on identifying and fixing UX/workflow issues, places this role firmly within the broader GTM Operations and Revenue Operations spectrum, particularly in optimizing customer and partner journeys. The AI and "builder" aspect suggests a forward-thinking approach to operational problem-solving.

📈 Primary Responsibilities

• Conduct in-depth reviews of Afficiency's product suite, including application flows, agent tools, and consumer-facing experiences, to pinpoint areas of user friction, confusion, and drop-off.

• Analyze qualitative and quantitative data from sources such as session recordings, support tickets, underwriting outcomes, and conversion funnels to diagnose product performance issues.

• Translate analytical findings into actionable, prioritized recommendations that are grounded in demonstrable business impact and ROI.

• Utilize AI tools, including Claude, to prototype, develop, and directly implement solutions such as copy adjustments, flow modifications, minor tooling updates, automation scripts, or reporting enhancements.

• Partner effectively with product management, engineering, and underwriting teams to define project scope, facilitate development, and ensure successful deployment of UX and workflow improvements.

• Establish and maintain a rigorous process for measuring the effectiveness of implemented changes and iterating based on performance data.

• Apply sound business judgment to evaluate the viability, customer perception, and strategic priority of proposed product and process improvements.

📝 Enhancement Note: The responsibilities emphasize a proactive and hands-on approach to operational improvement, moving beyond traditional analysis to direct implementation, particularly leveraging AI. This suggests a need for individuals who can not only identify problems but also build solutions, a key trait in high-impact operations roles.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong analytical background is implied. Candidates with degrees in business, economics, statistics, computer science, or related fields may find their academic training beneficial.

Experience: Approximately 2+ years of experience in business analysis, operations, product management, UX research, or a closely related analytical field.

Required Skills:

• Proven ability to perform rigorous data analysis, identifying trends, patterns, and root causes for user behavior and product performance issues.

• Strong analytical mindset with a keen eye for detail and the ability to logically dissect complex problems.

• Excellent common sense and business judgment, with a deep understanding of user-centric design principles and operational efficiency.

• Demonstrated self-starter attitude with a proactive approach to problem identification and solution development.

• A strong sense of ownership and a results-oriented mindset, driven to personally resolve issues.

• Proficiency and demonstrated curiosity in learning and applying AI tools (e.g., Claude) for analysis, prototyping, and execution. No prior coding experience is strictly required, but a willingness to experiment and learn is essential.

• Clear and concise written and verbal communication skills, capable of articulating complex findings and strategic recommendations to diverse audiences, both technical and non-technical. Preferred Skills:

• Prior experience within the insurance, fintech, or other highly regulated industries.

• Familiarity with product analytics platforms, such as session replay tools (e.g., Hotjar, FullStory) or behavioral analytics software (e.g., Mixpanel, Amplitude).

• Basic understanding or exposure to SQL for data extraction and analysis.

• Demonstrated hands-on experience using AI tools to build practical applications, workflows, or prototypes, even in an informal capacity.

📝 Enhancement Note: The emphasis on "non-technical background is fine" but also "comfort learning and using AI tools" suggests a role that values critical thinking and a proactive problem-solving approach over deep technical expertise, aligning with many GTM Operations and Product Operations roles that bridge business needs with technical solutions.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of identified user pain points and the direct impact of implemented solutions.

• Demonstrate analytical methodologies used to diagnose issues, including data sources and analytical techniques.

• Highlight instances where AI tools were leveraged for prototyping, automation, or direct implementation of fixes.

• Provide evidence of collaboration with cross-functional teams (Product, Engineering, Underwriting) to drive initiatives to completion.

• Include quantifiable results or metrics demonstrating the positive impact of your work on user experience, conversion rates, or operational efficiency. Process Documentation:

• Document the process of identifying UX friction points, from initial observation to data validation.

• Detail the workflow for using AI tools to prototype and build solutions, including any iterative refinement steps.

• Illustrate how the impact of implemented changes was measured and reported.

• Showcase any standardized processes or frameworks developed for ongoing UX/workflow optimization.

📝 Enhancement Note: For a role focused on product and UX optimization with an AI component, a portfolio should clearly articulate the candidate's ability to identify problems, leverage tools (especially AI) to create solutions, and measure impact. This is crucial for operations roles that require demonstrating ROI and process improvement capabilities.

💵 Compensation & Benefits

Salary Range: $80,000 - $105,000 USD per year, commensurate with experience.

Benefits:

• Robust health, dental, and vision insurance plans.

• 401(k) retirement savings plan with company matching contributions.

• Company-provided WFH setup to ensure a productive remote work environment.

• A supportive and collaborative hybrid work environment.

• The opportunity to contribute to a meaningful mission within a growing Insurtech company.

Working Hours: Standard full-time hours, likely around 40 hours per week, with flexibility offered within a hybrid work model.

📝 Enhancement Note: The salary range is typical for a mid-level analyst role in New York City, considering the experience level and the specialized nature of AI and UX optimization. The benefits package is competitive and standard for full-time employees in the tech/fintech sector.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurtech (Insurance Technology). Afficiency operates within the financial services sector, specifically focusing on modernizing life insurance distribution and underwriting through technology. This industry is characterized by regulation, a need for trust, and a significant opportunity for digital transformation.

Company Size: Afficiency is described as "rapidly growing," suggesting a dynamic, potentially fast-paced environment. While exact numbers aren't provided, "rapidly growing" in NYC often implies a company beyond startup phase but still scaling, likely between 50-250 employees. This size typically offers a blend of established processes and opportunities for individual impact.

Founded: Founded to build modern digital infrastructure for life insurance. The company's mission is to make life insurance accessible and easier to purchase. This focus on innovation within a traditional industry is a key cultural driver.

Team Structure:

• The role is likely part of a Product or Operations team, working closely with Product Management, Engineering, and Underwriting.

• Reporting structure is not explicitly stated but would likely be to a Product Manager, Head of Operations, or a similar leadership role overseeing product analytics and optimization.

• Cross-functional collaboration is highlighted as essential, requiring seamless interaction with various departments to understand user needs and implement solutions. Methodology:

• Data-driven decision-making is core, emphasizing the use of real usage data and analytics.

• AI-powered solutions are a key methodology for prototyping and implementation.

• A focus on iterative improvement and measuring the impact of changes is central to the role's success.

• Practical business judgment is valued, ensuring that solutions are not just technically feasible but also commercially sound.

Company Website: www.afficiency.com

📝 Enhancement Note: The Insurtech industry context is crucial; it means dealing with complex products, regulatory considerations, and the need for high trust. A "rapidly growing" company suggests opportunities for impact but also potential for evolving processes.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Analyst, focusing on specialized areas of AI and UX optimization within an operational context. It's a hands-on role that requires analytical rigor combined with a builder's mentality. Success here can lead to senior analyst, lead analyst, or specialized product management roles.

Reporting Structure: Typically, such roles report into a Product Management or Operations leadership team. This provides exposure to strategic decision-making and cross-functional project management. The direct reporting line will influence daily workflows and mentorship opportunities.

Operations Impact: The role has a direct impact on revenue and business operations by improving conversion rates, reducing user friction, and enhancing the efficiency of application and underwriting processes. By making the product easier to use and more effective, this role contributes directly to Afficiency's mission and growth.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in product analytics, UX research, AI-driven problem-solving, and process optimization within the Insurtech domain.

• Technical Proficiency: Develop advanced skills in leveraging AI tools for practical business applications and potentially explore related areas like low-code/no-code development or data engineering.

• Leadership Potential: Progress into roles with increased ownership, team leadership, or specialization in areas like AI product strategy, UX leadership, or GTM operations management.

• Industry Specialization: Become an expert in the nuances of Insurtech product development and operational excellence.

📝 Enhancement Note: This role offers a strong blend of analytical and practical skills, providing a solid foundation for a career in operations, product management, or data science within the fintech/insurtech space. The AI component is a significant differentiator for career growth.

🌐 Work Environment

Office Type: The role is based in New York, NY, with a hybrid work environment. This suggests a physical office space designed for collaboration and focused work, complemented by remote work flexibility.

Office Location(s): 175 Greenwich Street, New York, NY 10007. This is a prime location in downtown Manhattan, suggesting a professional office setting and accessibility via public transportation.

Workspace Context:

• The hybrid model implies a balance between in-office collaboration and remote work, allowing for focused analytical tasks and team synchronization.

• The office environment likely fosters a culture of innovation and problem-solving, supported by necessary technology and tools.

• Opportunities for direct interaction with product, engineering, and underwriting teams will be available, promoting a collaborative and integrated workflow.

Work Schedule: A standard full-time work schedule is expected, likely around 40 hours per week. The hybrid nature offers some flexibility in structuring the work week, balancing in-office days with remote days, which can be beneficial for deep work and personal scheduling.

📝 Enhancement Note: A hybrid setup in a major city like New York indicates a professional and collaborative office culture, balanced with the flexibility increasingly sought by operations professionals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call to assess basic qualifications, interest, and cultural fit.

• Technical/Analytical Interview: This may involve discussing past projects, problem-solving scenarios, and potentially a brief case study or analysis exercise related to user journeys or data interpretation. Focus on how you approach identifying issues and proposing solutions.

• Hands-on Exercise/Case Study: Candidates might be asked to analyze a sample user flow or dataset and present findings, potentially using AI tools for prototyping or outlining solutions. This is where portfolio examples will be heavily referenced.

• Stakeholder Interviews: Conversations with potential team members and cross-functional partners (Product, Engineering, Underwriting) to assess collaboration skills and domain understanding.

• Final Interview: Typically with a senior leader to discuss the role's strategic impact, career growth, and finalize the offer.

Portfolio Review Tips:

• Quantify Impact: For each project in your portfolio, clearly state the problem, your approach (especially how you used data and/or AI), the solution implemented, and the measurable results (e.g., % reduction in drop-off, % increase in conversion, time saved).

• Showcase AI Leverage: Specifically highlight instances where you used AI tools (like Claude) to accelerate analysis, generate hypotheses, prototype solutions, or automate tasks. Detail your prompt engineering approach and how AI assisted your workflow.

• Process Clarity: Clearly outline your methodology for identifying issues, analyzing data, developing solutions, and measuring outcomes. Use diagrams or flowcharts if helpful.

• Business Acumen: Demonstrate how your recommendations and solutions align with business goals, customer needs, and operational efficiency.

• Conciseness: Be prepared to walk through your most relevant projects efficiently, focusing on the key contributions and outcomes.

Challenge Preparation:

• User Journey Mapping: Be ready to discuss how you would map and analyze a complex user journey (e.g., an insurance application) to identify pain points.

• Data Interpretation: Prepare to interpret sample data (e.g., conversion funnel drop-offs, session recordings) and articulate actionable insights.

• AI Tool Application: Think about specific ways AI could be used to solve common UX or workflow problems in a regulated industry like insurance. Practice articulating your thought process for using AI tools effectively.

• Stakeholder Communication: Prepare examples of how you communicate technical or analytical findings to non-technical stakeholders and gain buy-in for your recommendations.

📝 Enhancement Note: The emphasis on AI tools and direct implementation means interviewers will be looking for candidates who can not only think critically but also execute effectively. The portfolio is key to demonstrating this capability.

🛠 Tools & Technology Stack

Primary Tools:

• AI Tools: Proficiency with AI language models such as Claude is a core requirement. Experience with other generative AI platforms for text, image, or workflow generation is a plus.

• Analytics & Reporting:

  • Session Replay/User Behavior Analytics Tools: e.g., Hotjar, FullStory, Pendo.
  • Funnel and Behavioral Analytics Platforms: e.g., Mixpanel, Amplitude, Google Analytics.
  • Data Visualization Tools: e.g., Tableau, Looker, Power BI (for reporting findings).

• CRM & Automation:

  • While not explicitly mentioned, familiarity with CRM systems (e.g., Salesforce) and workflow automation tools (e.g., Zapier, Workato, or internal tools) would be beneficial for understanding the broader operational context.

• Data Analysis:

  • SQL: Preferred for data extraction and manipulation.
  • Spreadsheets: Advanced proficiency in Excel or Google Sheets for data analysis and reporting.

• Collaboration Tools:

  • Project Management Software: e.g., Jira, Asana, Trello.

  • Communication Platforms: e.g., Slack, Microsoft Teams.

📝 Enhancement Note: The explicit mention of Claude and the general requirement for AI tool usage means candidates should be prepared to discuss their experience with prompt engineering and leveraging AI for practical business tasks. Experience with user analytics and visualization tools is also critical for this role.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A commitment to using data and evidence to inform all decisions and optimizations.

• User-Centricity: Prioritizing the user experience (both customer and agent) in all product and process development.

• Bias for Action: A proactive approach to problem-solving, emphasizing implementation and iteration over lengthy analysis paralysis.

• Curiosity & Continuous Learning: An eagerness to explore new tools (especially AI), methodologies, and industry best practices to drive innovation.

• Collaboration & Transparency: Working effectively with cross-functional teams and fostering open communication.

Collaboration Style:

• Cross-functional Integration: Actively partnering with Product, Engineering, and Underwriting to ensure solutions are technically feasible, aligned with business strategy, and meet user needs.

• Feedback Loops: Establishing mechanisms for continuous feedback from users and internal stakeholders to refine products and processes.

• Knowledge Sharing: Willingness to share insights, learnings, and best practices with the wider team to foster a culture of collective improvement.

📝 Enhancement Note: The emphasis on "bias for action" and "using AI tools to prototype and ship the fix yourself" strongly suggests a culture that values hands-on execution and rapid iteration, common in fast-growing tech companies.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Analysis with Execution: Effectively managing time between deep-dive analysis and the hands-on implementation of AI-driven solutions.

• Navigating Complex Regulations: Working within the highly regulated Insurtech industry requires careful attention to compliance and user communication.

• Integrating AI Effectively: Ensuring AI tools are used strategically to deliver tangible business value and improve user experience, rather than as a novelty.

• Cross-Functional Alignment: Gaining consensus and managing priorities across diverse teams with potentially different objectives.

Learning & Development Opportunities:

• AI Specialization: Becoming an expert in applying AI for product optimization and operational efficiency within a specific industry.

• Product Analytics Expertise: Deepening skills in user behavior analysis, conversion funnel optimization, and A/B testing methodologies.

• Insurtech Domain Knowledge: Developing a comprehensive understanding of the life insurance product lifecycle, underwriting processes, and distribution channels.

• Process Improvement Leadership: Gaining experience in leading initiatives that drive significant operational improvements and demonstrable ROI.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of applying AI in a traditionally conservative industry, presenting both challenges and significant growth potential for ambitious operations professionals.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you identified a significant user friction point in a product or process. How did you diagnose the root cause, what solution did you propose, and what was the outcome?" (Focus on your analytical process, data used, and impact.)

• "How would you approach using AI tools like Claude to optimize a complex, multi-step user journey, such as an insurance application?" (Demonstrate your understanding of AI capabilities and your ability to apply them strategically.)

• "Imagine a scenario where user drop-off rates increase significantly at a specific stage of our application. Walk me through your process for investigating this issue and what steps you would take to address it." (Showcase your problem-solving methodology and analytical rigor.) Company & Culture Questions:

• "What interests you about Afficiency and our mission in the Insurtech space?" (Research the company's mission, values, and recent achievements.)

• "How do you approach collaboration with engineering and product teams when proposing changes that require their development resources?" (Highlight your communication and stakeholder management skills.)

• "How do you ensure that your proposed solutions not only improve user experience but also align with business objectives and regulatory requirements?" (Emphasize your business judgment and understanding of operational impact.) Portfolio Presentation Strategy:

• Structure: Use a STAR (Situation, Task, Action, Result) or PAR (Problem, Action, Result) framework for each case study.

• Quantify Everything: Clearly state the metrics you influenced and the percentage or absolute improvements achieved.

• Highlight AI Use: Dedicate a specific part of your presentation to how AI tools were leveraged, including any prompt examples or workflow diagrams.

• Focus on Ownership: Emphasize your personal contribution and the initiative you took in driving the project to completion.

• Concise Storytelling: Be prepared to present your key projects within a limited timeframe, focusing on the most impactful and relevant examples for this role.

📝 Enhancement Note: Be ready to discuss not just what you did, but how you did it, particularly concerning your analytical process, your use of AI, and the measurable impact of your work. Demonstrating initiative and a builder's mindset will be crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on SmartRecruiters.

• Tailor your resume: Highlight experiences and skills directly relevant to product analysis, UX optimization, data analysis, and AI tool utilization. Use keywords from the job description (e.g., "AI tools," "UX optimization," "conversion funnels," "workflow improvements").

• Prepare your portfolio: Curate 2-3 of your most impactful projects that showcase your ability to identify issues, use data and AI to develop solutions, and drive measurable results. Be ready to present these clearly and concisely.

• Research Afficiency: Understand their mission, products, and the Insurtech industry to articulate your interest and align your experience with their goals.

• Practice your interview responses: Prepare for questions about your analytical process, problem-solving approach, experience with AI tools, and collaboration style, using specific examples from your experience.

⚠️ 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.

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