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: Product Operations / GTM Operations

Date Posted: August 13, 2026

Experience Level: 2-5 Years

Remote Status: Hybrid

🚀 Role Summary

• Drive measurable improvements in user experience and product workflows by identifying and resolving friction points within digital insurance products.

• Leverage AI tools to prototype, build, and implement solutions, moving beyond traditional recommendation-based analysis.

• Analyze complex user journeys, support tickets, and operational data to uncover root causes of user confusion and frustration.

• Collaborate cross-functionally with product, engineering, and underwriting teams to scope, develop, and deploy product enhancements.

• Establish and maintain a data-driven feedback loop to measure the impact of implemented changes and iterate for continuous optimization.

📝 Enhancement Note: This role bridges product analysis, user experience, and operational execution. While not a traditional Revenue Operations or Sales Operations role, the focus on optimizing customer journeys, identifying friction points, and driving measurable improvements through hands-on implementation aligns with core GTM operations principles. The emphasis on using AI for rapid prototyping and direct implementation is a key differentiator for candidates with an operational mindset.

📈 Primary Responsibilities

• Conduct in-depth analysis of product and UX/UI journeys across application flows, agent tools, and consumer-facing experiences to pinpoint areas of friction, confusion, and drop-off.

• Utilize session recordings, support tickets, underwriting outcomes, and conversion funnel data to diagnose product performance issues and user pain points.

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

• Employ AI tools (e.g., Claude) to rapidly prototype, build, and directly implement solutions, including copy adjustments, flow modifications, minor tooling enhancements, automation scripts, and reporting mechanisms.

• Partner closely with Product Management, Engineering, and Underwriting stakeholders to define project scope, facilitate development, and ensure successful deployment of product improvements.

• Design and implement rigorous measurement strategies to quantify the effectiveness of implemented changes and drive iterative improvements based on performance data.

• Apply sound business judgment to evaluate the feasibility, customer impact, and strategic priority of proposed product and UX enhancements.

• Contribute to the continuous improvement of operational processes and product development methodologies within the GTM function.

📝 Enhancement Note: The primary responsibilities emphasize a hands-on, execution-oriented approach, directly leveraging AI for problem-solving. This goes beyond typical product analyst duties by requiring direct implementation and ownership of solutions, aligning with an operational role focused on efficiency and tangible results.

🎓 Skills & Qualifications

Education: Bachelor's degree in Business, Analytics, Computer Science, or a related field is beneficial, though not strictly required. Emphasis is placed on demonstrated analytical capability and problem-solving skills.

Experience: Approximately 2-5 years of experience in business analysis, operations, product management, customer success, or a closely related analytical role.

Required Skills:

• Proven ability to analyze user journeys, identify friction points, and translate data into actionable insights.

• Strong analytical mindset with a talent for digging into data (session recordings, support tickets, funnels) to understand root causes.

• Excellent common sense and business judgment, with a keen eye for intuitive product design and efficient workflows.

• Demonstrated self-starter attitude, capable of independently identifying opportunities and driving projects forward without constant supervision.

• A proactive, ownership-driven mindset: a natural inclination to solve problems directly rather than delegating.

• Proficiency and comfort in learning and utilizing AI tools (e.g., Claude) for analysis, prototyping, and direct implementation tasks.

• Clear and concise written and verbal communication skills, effective in conveying complex issues to both technical and non-technical audiences.

• Experience with basic prototyping or workflow automation, even if informal. Preferred Skills:

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

• Familiarity with product analytics platforms (e.g., Pendo, Amplitude, Heap, FullStory) or data analysis tools like SQL.

• Hands-on experience using AI tools for building tangible outputs like workflows, automations, or prototypes.

• Understanding of underwriting processes or life insurance product structures.

📝 Enhancement Note: The qualification requirements highlight a unique blend of analytical rigor, operational execution, and adaptability to new technologies like AI. The emphasis on a "self-starter" and "ownership instinct" points towards a candidate who can operate autonomously within a fast-paced GTM environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of Process Improvement: Showcase 2-3 detailed examples of how you identified a business or user process inefficiency and implemented a solution that led to measurable improvements. Focus on the "before and after" state, detailing the steps taken, tools used, and the quantifiable impact.

• Data Analysis & Insights Demonstration: Include examples of how you've used data (e.g., user behavior data, support ticket trends, conversion metrics) to uncover critical insights that drove significant product or process changes. Highlight your analytical methodology.

• AI Tool Application Examples: If possible, provide examples of how you've leveraged AI tools to streamline tasks, prototype solutions, or automate processes. This can include informal projects or specific use cases.

• Cross-functional Collaboration: Demonstrate instances where you've effectively collaborated with different teams (product, engineering, operations) to achieve a common goal, detailing your role and contribution.

Process Documentation:

• Workflow Design & Optimization: Evidence of your ability to map out existing workflows, identify bottlenecks, and design optimized processes. This could be in the form of flowcharts, process maps, or detailed written descriptions.

• Implementation & Automation: Examples of how you've implemented process changes or leveraged automation to improve efficiency and accuracy.

• Measurement & Performance Analysis: Show how you've established metrics to track the performance of implemented processes and analyzed results to drive further iteration.

📝 Enhancement Note: Given the role's emphasis on hands-on implementation and AI tool usage, a portfolio demonstrating tangible outputs and measurable impact will be crucial. This section is designed to guide candidates on what to prepare to showcase their capabilities effectively for this specific operations-adjacent role.

💵 Compensation & Benefits

Salary Range: $70,000 - $105,000 annually, commensurate with experience and qualifications.

Benefits:

• Robust health, dental, and vision insurance plans.

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

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

• Hybrid work environment offering flexibility and in-office collaboration opportunities.

• Opportunity to be part of a supportive, collaborative team building innovative solutions in the Insurtech space.

Working Hours: Standard full-time commitment, approximately 40 hours per week. While a hybrid schedule is in place, the role requires flexibility to meet project demands and collaborate effectively across different time zones if necessary, though primary focus is on the New York time zone.

📝 Enhancement Note: The salary range provided is based on the information available in the job posting. For a Product Analyst role with an AI and UX optimization focus in New York City, this range is competitive for individuals with 2-5 years of experience. It reflects the specialized nature of the role and the demand for candidates proficient in analytical skills and emerging AI technologies within the tech and fintech sectors.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurtech (Insurance Technology). Afficiency operates at the intersection of finance, insurance, and technology, aiming to modernize and streamline the life insurance acquisition process through digital platforms and AI-driven solutions. This industry context implies a need for precision, regulatory awareness, and a focus on customer trust.

Company Size: Afficiency is described as "rapidly growing," suggesting a dynamic, evolving environment. This typically means opportunities for high impact and significant influence, but also requires adaptability and comfort with ambiguity. For operations professionals, this can translate to shaping processes and contributing to foundational systems.

Founded: While the founding date is not specified, the company's mission to "shake up the life insurance industry" and its focus on proprietary platforms and AI indicate a modern, forward-thinking approach.

Team Structure:

• The role implies close collaboration with Product Management, Engineering, and Underwriting teams, suggesting a matrixed or project-based team structure.

• As a Product Analyst focused on AI & UX Optimization, this individual will likely be a key contributor within a product development or GTM operations function, reporting into a Product Lead, Head of Product, or potentially a broader Operations leadership role.

• Cross-functional collaboration is central, requiring strong communication and relationship-building skills to influence stakeholders across different departments. Methodology:

• Data-Driven Decision Making: The role heavily relies on analyzing user data, session recordings, and support tickets to inform decisions.

• Iterative Development: The emphasis on measuring impact and iterating suggests an agile or lean methodology for product and UX improvements.

• AI-Augmented Execution: A core methodology is the use of AI tools to accelerate analysis, prototyping, and implementation, enabling faster iteration cycles.

• Business Judgment Integration: The role requires balancing data insights with practical business acumen to prioritize and execute initiatives.

Company Website: https://www.afficiency.com/ (Assumed based on domain_derived)

📝 Enhancement Note: The company's focus on Insurtech and digital transformation, combined with its "rapidly growing" status, suggests an environment that values innovation, agility, and a hands-on approach to problem-solving. Candidates should be prepared for a fast-paced, evolving landscape where operational efficiency and user experience are paramount.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an individual contributor with significant autonomy and ownership, suitable for someone with 2-5 years of experience. It offers a unique opportunity to gain deep experience in product analytics, UX optimization, and the practical application of AI in a business context, particularly within a regulated industry.

Reporting Structure: The Product Analyst will likely report to a Product Manager, Lead Product Analyst, or a Director of Product/Operations. They will work closely with engineering, UX design, and underwriting teams. The hybrid nature of the role means collaboration will occur both in person and remotely.

Operations Impact: The Product Analyst is instrumental in directly impacting the user experience and operational efficiency of Afficiency's digital products. By identifying and resolving friction points, they contribute to:

• Increased Conversion Rates: Smoother application journeys lead to higher completion rates.

• Improved Customer Satisfaction: A less frustrating experience enhances user perception and loyalty.

• Reduced Support Load: Proactively addressing confusion minimizes inbound support inquiries.

• Enhanced Agent Productivity: Optimizing agent tools improves their efficiency and effectiveness.

• Faster Time-to-Market for Improvements: Leveraging AI for rapid prototyping accelerates the delivery of value.

Growth Opportunities:

• Specialization in AI & Product Analytics: Deepen expertise in using AI tools for product improvement and advanced analytical techniques within the Insurtech sector.

• Transition to Product Management: Develop a strong foundation in product strategy, user needs, and market dynamics, potentially leading to Product Manager roles.

• GTM Operations Leadership: As the company grows, opportunities may arise to lead or expand the GTM operations function, focusing on process optimization, system implementation, and Go-to-Market strategy execution.

• Cross-functional Expertise: Gain broad exposure to underwriting, engineering, and business development, fostering a holistic understanding of the insurance lifecycle and business operations.

📝 Enhancement Note: This role offers a compelling growth trajectory for an individual contributor looking to specialize in the intersection of AI, UX, and operational efficiency. The emphasis on hands-on problem-solving and direct implementation provides a robust foundation for future career advancement in product, operations, or general management within the tech and financial services industries.

🌐 Work Environment

Office Type: Afficiency operates a hybrid work model, suggesting a modern office space designed to facilitate collaboration and focused work. The office is likely equipped with the necessary technology and amenities to support team members during their in-office days.

Office Location(s): The primary office is located in New York City, specifically at 175 Greenwich Street, New York, NY 10007. This central location provides access to talent and resources within a major business hub.

Workspace Context:

• Collaborative Hub: In-office days are expected to be utilized for team meetings, brainstorming sessions, and cross-functional discussions, fostering a strong sense of team cohesion.

• Technology-Enabled: Access to necessary tools and software, including AI platforms, analytics dashboards, and communication tools, is essential for productivity. The company also provides a WFH setup, ensuring a consistent and effective work environment regardless of location.

• Dynamic Atmosphere: As a rapidly growing Insurtech company, the environment is likely fast-paced, innovative, and team-oriented, encouraging proactive engagement and idea-sharing.

Work Schedule: The role follows a standard full-time schedule, approximately 40 hours per week. The hybrid arrangement allows for flexibility, balancing in-office collaboration with remote work. While specific office days may vary, the expectation is regular interaction with the team.

📝 Enhancement Note: The hybrid model and NYC location suggest a professional yet dynamic work environment. Candidates should be comfortable with a blend of in-office collaboration and remote autonomy, leveraging technology to stay connected and productive.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter or hiring manager to assess basic qualifications, interest, and cultural fit.

• Technical/Analytical Interview: This stage will likely involve deep dives into your analytical approach, problem-solving skills, and experience with data. Expect questions on how you've identified and solved user experience issues in the past.

• AI Tooling & Implementation Discussion: A session focused on your experience with AI tools, your ability to prototype and build solutions, and your understanding of their application in a business context. This might involve a hypothetical scenario.

• Case Study/Portfolio Presentation: You will be asked to present one or more case studies from your portfolio, demonstrating your process, analytical rigor, and the impact of your work. This is where you showcase your ability to drive tangible improvements.

• Cross-functional Stakeholder Interview: An interview with key stakeholders from Product, Engineering, or Underwriting to assess your collaboration style, communication effectiveness, and ability to influence across teams.

• Final Interview: A discussion with senior leadership to evaluate strategic thinking, overall fit with the company culture, and long-term potential.

Portfolio Review Tips:

• Focus on Impact: For each case study, clearly articulate the problem, your analytical approach, the solution you implemented (especially if using AI), and the quantifiable business impact (e.g., % reduction in drop-off, % increase in conversion, time saved).

• Show, Don't Just Tell: Use visuals (screenshots, flowcharts, dashboards) where appropriate to illustrate your points. For AI-generated prototypes or automations, provide clear descriptions or demos if possible.

• Highlight the "How": Detail your process for identifying issues, gathering data, using AI tools, and collaborating with others. Emphasize your ownership and problem-solving mindset.

• Tailor to Afficiency: Research Afficiency's products and target market. Frame your examples in a way that demonstrates your understanding of their business and how your skills can directly benefit them.

• Be Prepared for Questions: Anticipate questions about your decision-making process, challenges faced, and how you would approach specific scenarios at Afficiency.

Challenge Preparation:

• Hypothetical UX Problem: Be ready to analyze a common UX friction point (e.g., a complex form, a confusing navigation element) and outline how you would investigate it and what types of AI-assisted solutions you might propose.

• Data Interpretation Scenario: Prepare to interpret a sample dataset or funnel analysis and identify potential areas for improvement.

• Process Optimization Exercise: Think about how you would optimize a simple operational process, such as a lead qualification flow or a customer onboarding step, using analytical and AI tools.

📝 Enhancement Note: The interview process is designed to assess not only analytical skills but also hands-on execution capabilities and the ability to leverage emerging technologies. A strong, well-prepared portfolio that highlights quantifiable results and a proactive, ownership-driven approach will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• AI Tools (e.g., Claude): Essential for prototyping, content generation, workflow automation, and rapid problem-solving. Candidates are expected to be comfortable learning and integrating these into their daily workflow.

• Session Recording & User Behavior Analytics Platforms (e.g., FullStory, Pendo, Heap, Amplitude): Critical for understanding user journeys, identifying drop-off points, and diagnosing UX issues. Proficiency in at least one is highly advantageous.

• Product Analytics Tools: For tracking key metrics, conversion funnels, and user engagement.

• Support Ticket/CRM Systems: For analyzing customer feedback and identifying recurring issues.

Analytics & Reporting:

• Data Visualization Tools: For creating dashboards and reports to communicate findings and track impact (e.g., Tableau, Looker, Power BI, or built-in platform dashboards).

• Spreadsheet Software (e.g., Excel, Google Sheets): Fundamental for data manipulation, analysis, and basic reporting.

• SQL (Preferred): For deeper data exploration and extraction from databases, if available.

CRM & Automation:

• CRM Platforms (e.g., Salesforce, HubSpot): To understand customer data and sales/agent workflows, though direct management might not be a core responsibility.

• Workflow Automation Tools: Beyond AI, familiarity with general automation concepts or tools can be beneficial for streamlining internal processes.

• Collaboration & Project Management Tools (e.g., Jira, Asana, Slack): Essential for cross-functional communication and project tracking.

📝 Enhancement Note: The technology stack emphasizes modern tools for user behavior analysis, AI-driven execution, and data-driven decision-making. Proficiency in these areas, particularly with AI tools for practical application, will be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: A deep commitment to understanding and improving the end-user experience, whether for consumers or agents.

• Data-Driven Excellence: Decisions are informed by rigorous analysis of user behavior, operational metrics, and business impact.

• Bias for Action & Ownership: A culture that encourages individuals to take initiative, solve problems proactively, and see initiatives through to completion.

• Continuous Improvement: A mindset focused on iteratively enhancing products, processes, and workflows for greater efficiency and effectiveness.

• Innovation & Adaptability: Embracing new technologies like AI and adapting quickly to market changes and business needs.

Collaboration Style:

• Cross-Functional Partnership: Strong emphasis on working collaboratively with Product, Engineering, Underwriting, and other GTM teams to achieve shared goals.

• Open Communication: Encouraging transparent feedback, active listening, and clear articulation of ideas and concerns.

• Data-Informed Discussions: Debates and decision-making are grounded in data and analytical insights, fostering constructive dialogue.

• Shared Ownership: While individuals may own specific tasks or projects, there's a collective responsibility for product success and customer satisfaction.

📝 Enhancement Note: Afficiency's culture appears to value proactive problem-solvers who are comfortable with data, embrace new technologies, and can collaborate effectively across departments. The emphasis on "bias for action" and "ownership" is particularly relevant for this role.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating a Regulated Industry: Balancing innovation and user experience improvements with the compliance and security requirements of the insurance sector.

• Rapidly Evolving AI Landscape: Staying abreast of new AI capabilities and effectively integrating them into product development and operational workflows.

• Cross-Functional Alignment: Ensuring buy-in and coordinated execution across diverse teams (Product, Engineering, Underwriting) with potentially different priorities.

• Measuring Impact of AI-Assisted Changes: Developing robust methodologies to accurately attribute improvements to AI-driven solutions versus other factors.

• Balancing Analysis with Hands-on Execution: Managing time effectively to conduct thorough analysis while also dedicating sufficient effort to prototyping and implementing solutions.

Learning & Development Opportunities:

• AI Tool Mastery: Becoming an expert in leveraging cutting-edge AI tools for product enhancement and operational efficiency.

• Product Analytics Specialization: Developing advanced skills in user behavior analysis, funnel optimization, and A/B testing within the Insurtech domain.

• Industry Knowledge: Gaining deep insights into the life insurance market, underwriting processes, and Insurtech business models.

• Cross-functional Project Leadership: Leading initiatives that require collaboration across multiple departments, honing project management and stakeholder management skills.

• Contribution to Strategic Initiatives: Playing a key role in shaping product direction and operational improvements for a growing company.

📝 Enhancement Note: The challenges presented are common in fast-growing tech companies, particularly in regulated industries. The growth opportunities are substantial, offering a chance to develop highly sought-after skills in AI, product analytics, and cross-functional leadership.

💡 Interview Preparation

Strategy Questions:

• Product/UX Optimization Strategy: "If you noticed a significant drop-off in our life insurance application flow at the 'coverage details' step, how would you investigate this, and what types of AI-assisted solutions might you propose to improve it?"

  • Preparation: Outline a structured approach: data sources to check (session replays, funnel analysis, support tickets), hypotheses to test, and specific AI applications (e.g., AI-generated copy for clarity, AI-assisted flow restructuring, chatbot support).

• AI Tool Application: "Describe a time you used an AI tool (or similar automation) to solve a business problem or improve a process. What was the problem, how did you use the tool, and what was the outcome?"

  • Preparation: Have a concrete example ready. Focus on the problem statement, your initiative, the technical approach (even if simple), and quantifiable results.

• Business Judgment Scenario: "Imagine you've identified a UX issue that would take significant engineering effort to fix, but the potential business impact is moderate. How would you decide whether to pursue it, and how would you communicate your recommendation to stakeholders?"

  • Preparation: Discuss your framework for evaluating ROI, considering effort vs. impact, stakeholder alignment, and prioritizing against other initiatives. Company & Culture Questions:

• Motivation for Afficiency: "Why are you interested in Afficiency and this specific role? What excites you about the Insurtech industry?"

  • Preparation: Research Afficiency's mission, products, and recent news. Connect your skills and career goals to their objectives.

• Team Collaboration: "Describe your ideal collaboration style when working with Product Managers and Engineers on UX improvements."

  • Preparation: Emphasize proactive communication, data-driven discussions, and a willingness to compromise while advocating for user experience.

• Measuring Success: "How do you measure the success of your work, especially when implementing UX or process improvements?"

  • Preparation: Discuss key metrics (conversion rates, drop-off rates, task completion time, CSAT) and your approach to establishing baselines and tracking changes. Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative: the challenge, your approach, the solution, and the impact.

• Quantify Everything: Use numbers, percentages, and specific metrics to demonstrate the value of your contributions.

• Showcase AI Usage: Clearly articulate how AI tools were used, what they enabled, and the benefits they provided.

• Visual Aids: Use screenshots, flowcharts, or simplified diagrams to make your examples clear and engaging.

• Be Concise: Respect the interviewer's time. Focus on the most impactful aspects of each project.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of analytical rigor, hands-on execution capabilities, and a forward-thinking approach to leveraging AI for business impact. Being able to articulate your process and quantify results will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on SmartRecruiters.

• Tailor your Resume: Highlight experience in product analysis, UX optimization, data analysis, and any use of AI tools. Quantify achievements with metrics wherever possible, focusing on process improvements and user experience enhancements.

• Prepare your Portfolio: Curate 2-3 strong case studies showcasing your ability to identify issues, use data and AI to develop solutions, and drive measurable business impact. Ensure your portfolio demonstrates your ownership and problem-solving mindset.

• Practice your Presentation: Rehearse presenting your portfolio case studies, focusing on clear storytelling, quantifiable results, and the specific role AI played in your solutions. Be ready to answer detailed questions about your methodology.

• Research Afficiency: Understand their products, mission, and the Insurtech landscape. Prepare thoughtful questions about the role, team, and company challenges to demonstrate your engagement and strategic thinking.

⚠️ 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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