UX Quantitative Researcher - New York

📍 Job Overview

Job Title: UX Quantitative Researcher

Company: Photon

Location: New York, NY, US

Job Type: Full-Time

Category: Revenue Operations / GTM Operations / Sales Operations (Data & Analytics Focus)

Date Posted: 2026-09-21

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• This role is critical for enhancing user behavior and product performance understanding through rigorous quantitative research and data analysis, directly impacting Go-To-Market (GTM) strategies.

• The position centers on leveraging advanced Qualtrics capabilities to design, deploy, and manage in-product intercept surveys, a key tool for capturing real-time user feedback and informing operational adjustments.

• A core function involves translating complex quantitative findings into clear, actionable insights for product, UX, and GTM teams, fostering data-driven decision-making across the organization.

• The researcher will integrate survey data with behavioral analytics platforms, bridging the gap between user feedback and product usage patterns to optimize customer journeys and revenue streams.

📝 Enhancement Note: While the title is "UX Quantitative Researcher," the emphasis on in-product surveys, behavioral data integration, and driving product improvements in B2B/B2C environments strongly suggests a role with significant GTM operations implications. The ability to translate data into actionable insights for product and leadership directly supports revenue generation and customer retention efforts, aligning it with revenue and GTM operations functions.

📈 Primary Responsibilities

• Design, implement, and manage sophisticated in-product intercept surveys using Qualtrics, encompassing advanced targeting logic, dynamic survey workflows, and precise cookie preference management.

• Administer and optimize Qualtrics XM Directory, ensuring effective participant segmentation, contact list management, and data integrity for targeted feedback collection.

• Conduct in-depth quantitative analysis of user behavior, product performance metrics, and direct survey feedback to identify key trends, critical pain points, and strategic opportunities for GTM and product enhancement.

• Develop, maintain, and automate Qualtrics dashboards to visualize essential product health metrics, track key performance indicators (KPIs), and clearly communicate actionable insights to diverse stakeholders, including product management, UX design, and executive leadership.

• Collaborate closely with qualitative UX researchers to triangulate findings, creating a holistic understanding of user needs, motivations, and behaviors that informs both product development and GTM messaging.

• Partner with development and data engineering teams to facilitate the seamless integration of survey data with behavioral analytics platforms (e.g., Glassbox) and other relevant internal datasets, enabling a unified view of the customer.

• Support the existing UX Quantitative Researcher by sharing analytical workloads, streamlining data access, and contributing to the evolution of research methodologies.

• Translate complex quantitative findings into clear, concise, and compelling narratives suitable for various audiences, ensuring insights are understood and actionable by both technical and non-technical teams.

📝 Enhancement Note: The responsibilities clearly indicate a need for expertise in survey platforms (Qualtrics), data analysis, and cross-functional collaboration. The emphasis on translating data into actionable insights for product and GTM teams positions this role as a key contributor to revenue optimization and customer experience improvement, core tenets of Revenue Operations.

🎓 Skills & Qualifications

Education: Bachelor's Degree or higher in a quantitative field such as Statistics, Economics, Psychology, Human-Computer Interaction, Business Analytics, or a related discipline. Equivalent practical experience will also be considered.

Experience: Minimum of 5 years of progressive experience in product analytics, quantitative UX research, or a similar data-intensive role. Significant experience working with digital products in both B2B and B2C market segments is essential.

Required Skills:

• Qualtrics Expertise: Proven, hands-on experience in designing, implementing, and managing in-product intercept surveys, including mastery of advanced targeting logic, survey workflows, embedded data, and cookie management.

• Quantitative Analysis: Strong capability in conducting statistical analysis, identifying trends, and drawing meaningful conclusions from user behavior data and survey responses.

• Data Visualization & Dashboarding: Proficiency in creating clear, impactful visualizations and automating dashboards using tools like Qualtrics Dashboards to communicate insights effectively.

• Stakeholder Management: Excellent communication, interpersonal, and collaboration skills, with a demonstrated ability to work effectively with cross-functional teams, including product managers, designers, engineers, and leadership.

• Problem-Solving: Ability to troubleshoot and optimize data collection and analysis processes, particularly concerning survey deployment and data integration challenges.

• B2B/B2C Product Acumen: Understanding of user behavior and product dynamics within both business-to-business and business-to-consumer contexts.

Preferred Skills:

• Behavioral Analytics Tools: Familiarity with platforms like Glassbox for integrating and analyzing behavioral data.

• Data Engineering Collaboration: Experience working with data engineering teams to integrate disparate data sources.

• Workflow Design: Experience in designing efficient workflows for data access, documentation, and research processes.

• XM Directory Management: Demonstrated ability in establishing and managing XM Directories for robust participant targeting and segmentation.

• Statistical Software: Proficiency in statistical analysis software beyond Qualtrics (e.g., R, Python, SPSS) for more advanced modeling.

📝 Enhancement Note: The requirement for 5+ years of experience and specific tool expertise (Qualtrics) indicates a mid-to-senior level role. The emphasis on quantitative analysis and translating data into actionable insights for product and GTM teams suggests a strong operations focus, requiring candidates to demonstrate not just analytical skills but also business acumen and the ability to drive change.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Survey Design & Implementation Case Studies: Showcase examples of in-product intercept surveys designed and deployed, detailing the objectives, targeting logic, survey flow, and the resulting user feedback collected. Highlight any unique or complex targeting criteria used.

• Qualtrics Dashboard Examples: Present examples of dashboards created within Qualtrics, illustrating how key user behavior metrics, product health indicators, and survey insights were visualized for stakeholders.

• Data Analysis & Insight Generation: Include a case study demonstrating how quantitative analysis of survey data and/or behavioral data led to specific, actionable recommendations that improved a product feature, user experience, or GTM strategy. Quantify the impact where possible.

• Cross-Functional Collaboration Examples: Provide examples of how you have collaborated with product, engineering, or GTM teams to gather requirements, integrate data, or deliver insights, showcasing your ability to translate technical findings into business value.

Process Documentation:

• Survey Deployment Workflows: Document the process followed for designing, testing, deploying, and monitoring in-product intercept surveys, including quality assurance steps and issue resolution protocols.

• Data Integration Processes: Outline how you have worked with engineering or data teams to integrate survey data with other data sources (e.g., behavioral analytics, CRM data), detailing the steps involved in data mapping and validation.

• Reporting & Insight Delivery Cadence: Describe your typical process for analyzing data, generating reports, and delivering insights to stakeholders, including the frequency, format, and feedback mechanisms used.

📝 Enhancement Note: A strong portfolio is crucial for demonstrating practical application of Qualtrics and analytical skills. Operations roles, especially those influencing product and GTM, highly value candidates who can showcase tangible results and well-defined processes for data collection, analysis, and insight dissemination.

💵 Compensation & Benefits

Salary Range: USD $42,000 - $148,000 per year.

Explanation of Range: This broad range reflects the company's commitment to compensating candidates based on their actual experience, qualifications, and the specific value they bring to the role. The lower end may represent candidates with strong foundational skills and fewer years of experience, while the higher end is for highly experienced professionals with a proven track record of driving significant impact through quantitative research and analysis in complex B2B/B2C environments.

Benefits:

• Comprehensive Medical, Vision, and Dental Insurance: Ensuring health and well-being for employees and their families.

• 401k Retirement Plan: Providing a pathway for long-term financial security and retirement savings.

• Variable Pay/Incentives: Potential for performance-based bonuses or incentives, aligning individual contributions with company success.

• Generous Paid Time Off (PTO): Offering flexibility and work-life balance through accrued paid leave.

• Paid Holidays: Recognizing and observing public holidays for rest and personal time.

Working Hours: Standard full-time hours, typically 40 hours per week. While the role is on-site, there may be occasional flexibility required for critical data collection periods or urgent stakeholder needs, to be discussed with the hiring manager.

📝 Enhancement Note: The provided salary range is exceptionally wide. For a role requiring 5+ years of experience and specialized skills like advanced Qualtrics usage, the lower end ($42,000) is significantly below market rate for a New York City on-site position. The higher end ($148,000) is more aligned with experienced quantitative researchers in this location. Candidates should be prepared to negotiate based on their specific experience and the value they can demonstrate. Researching current market rates for Quantitative UX Researchers/Product Analysts in NYC with 5-10 years of experience is highly recommended.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / SaaS (Software as a Service). Photon operates within the competitive technology sector, likely providing software solutions that require deep user understanding for product development and market adoption. This context means a strong emphasis on data-driven product iteration and GTM effectiveness.

Company Size: Not explicitly stated, but typical for a company seeking specialized roles like this might range from mid-sized (100-500 employees) to larger enterprises. A mid-sized company often offers more direct impact opportunities, while a larger one may have more established processes and resources.

Founded: Not specified, but the existence of a formal HR system (Oracle Cloud) suggests an established organization. The company's founding era could influence its approach to innovation, data, and employee development.

Team Structure:

• UX Research Team: This role will likely be part of or closely collaborate with a dedicated UX Research team, potentially including both qualitative and quantitative specialists.

• Reporting Structure: The role reports to a manager within the UX or Product organization, with close ties to Product Management, GTM teams, and potentially Data Analytics leadership.

• Cross-functional Collaboration: High degree of collaboration expected with Product Managers, UX Designers, Data Engineers, Marketing, and Sales teams to ensure user insights inform product roadmaps and GTM strategies.

Methodology:

• Data-Driven Decision Making: A strong emphasis on leveraging quantitative data, including survey responses and behavioral analytics, to inform product decisions and business strategies.

• User-Centricity: A commitment to understanding and prioritizing user needs and behaviors as a core driver of product success.

• Iterative Improvement: A culture that supports continuous product enhancement based on ongoing user feedback and performance analysis.

Company Website: https://photon.com (Assuming this based on domain_derived)

📝 Enhancement Note: Given the focus on quantitative research and data analysis for product improvement, Photon likely fosters a culture that values empirical evidence and data-backed decision-making. This is a hallmark of effective GTM and Revenue Operations environments.

📈 Career & Growth Analysis

Operations Career Level: This position is positioned as a mid-to-senior level Quantitative Researcher. It requires significant autonomy in managing survey programs and conducting complex analyses, with a clear expectation of translating findings into actionable business strategies that influence product development and GTM. The "5+ years of experience" requirement solidifies this.

Reporting Structure: The role likely reports into a Manager or Director of UX Research, Product Analytics, or potentially a Head of Product. Close collaboration with Product Managers, UX Designers, and GTM leads is central to the role's effectiveness.

Operations Impact: The impact is significant, directly contributing to:

• Product Strategy: Informing product roadmaps by identifying user pain points and feature opportunities.

• GTM Effectiveness: Providing insights that refine target audience understanding, messaging, and user onboarding processes.

• Customer Retention: Helping to improve user satisfaction and product usability, thereby reducing churn.

• Revenue Growth: By contributing to product improvements and better customer experiences that drive adoption and satisfaction.

Growth Opportunities:

• Specialization: Deepen expertise in advanced Qualtrics features, specific analytical methodologies, or behavioral analytics platforms.

• Leadership: Potential to mentor junior researchers, lead specific research initiatives, or transition into a Senior Quantitative Researcher or Research Lead role.

• Cross-Functional Mobility: Opportunity to move into Product Management, Product Marketing, or GTM Strategy roles by leveraging deep user and product understanding.

• Skill Expansion: Develop proficiency in other analytical tools or methodologies, potentially leading to a broader Data Science or Analytics career path.

📝 Enhancement Note: This role serves as a strong foundation for a career in product-focused analytics and GTM strategy. The ability to bridge UX research with business outcomes is highly valued in operations roles.

🌐 Work Environment

Office Type: On-site. The job description explicitly states "On-site" and lists a New York City address, indicating a traditional office-based work environment.

Office Location(s): 115 W 30th St, Suite 910, New York, NY 10001. This location is in Manhattan, offering access to public transportation and a vibrant business district.

Workspace Context:

• Collaborative Environment: Expect a dynamic office setting designed for collaboration, with opportunities for in-person interaction with colleagues from UX, Product, and potentially GTM teams.

• Tools & Technology: Access to necessary hardware, software (including Qualtrics licenses), and potentially specialized analytics tools provided by Photon.

• Team Interaction: Frequent opportunities for team meetings, brainstorming sessions, and informal discussions with cross-functional partners.

Work Schedule: Standard 40-hour work week, typical for full-time on-site roles. While primarily office-based, there might be occasional needs for flexibility to accommodate critical research timelines or urgent stakeholder requests, subject to discussion and approval.

📝 Enhancement Note: An on-site role in a major city like New York typically implies a professional office environment with a focus on in-person collaboration. This is beneficial for team cohesion and spontaneous idea generation, which can be valuable for operations roles that require strong communication.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and application, likely conducted by an HR representative or recruiter, focusing on core qualifications and experience.

• Hiring Manager Interview: A discussion with the hiring manager to assess your background, experience with Qualtrics and quantitative research, and fit with the team's objectives. Be prepared to discuss your approach to survey design and data analysis.

• Technical/Skills Assessment: This may involve a practical exercise or case study focused on survey design, data analysis, or dashboard creation. You might be asked to interpret sample data or outline a research plan.

• Cross-functional Interview(s): Interviews with key stakeholders (e.g., Product Manager, UX Designer, GTM lead) to evaluate collaboration skills, communication style, and ability to translate insights into business impact.

• Final Interview: Possibly with a senior leader to discuss career aspirations, long-term fit, and confirm overall suitability for the role and company culture.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the problem, your solution (methodology), and the measurable business impact (e.g., improved conversion rate, reduced user friction, informed product roadmap decisions).

• Showcase Qualtrics Mastery: Ensure your portfolio demonstrates advanced Qualtrics usage, including complex logic, embedded data, and dashboard creation.

• Focus on Actionability: Highlight how your insights led to concrete actions or decisions by product or GTM teams.

• Structure for Clarity: Organize your portfolio logically, perhaps by project type or by the business problem addressed. Use clear headings, concise descriptions, and compelling visuals.

• Tailor to the Role: Emphasize projects that align with B2B/B2C product environments, in-product surveys, and cross-functional collaboration.

Challenge Preparation:

• Practice Survey Design: Be ready to outline how you would design an intercept survey for a given product scenario or user journey.

• Data Interpretation: Prepare to analyze a small dataset (e.g., survey results) and articulate key findings and recommendations.

• Stakeholder Communication: Practice explaining complex quantitative findings to a non-technical audience.

📝 Enhancement Note: For operations-focused roles, interviewers will look for not just technical proficiency but also strategic thinking, problem-solving skills, and the ability to drive measurable business outcomes. Your portfolio and interview responses should consistently demonstrate these qualities.

🛠 Tools & Technology Stack

Primary Tools:

• Qualtrics: The core platform for this role. Proficiency in designing, implementing, and managing in-product intercept surveys, including advanced features like XM Directory, embedded data, workflows, and Qualtrics Dashboards, is essential.

• Behavioral Analytics Platforms: Familiarity with tools like Glassbox (mentioned in the description) for integrating and analyzing user interaction data.

• Data Analysis Tools: While not explicitly listed, proficiency in statistical analysis software (e.g., R, Python, SPSS) may be beneficial for deeper analysis beyond Qualtrics capabilities.

• Spreadsheet Software: Advanced skills in Excel or Google Sheets for data manipulation and analysis.

Analytics & Reporting:

• Qualtrics Dashboards: For creating and automating visualizations of key metrics and survey insights.

• Business Intelligence (BI) Tools: Potential exposure to tools like Tableau, Power BI, or Looker for broader data visualization and reporting, depending on company-wide stack.

CRM & Automation:

• CRM Systems (e.g., Salesforce, HubSpot): Understanding how survey data might integrate with CRM data to provide a more complete customer view.

• Data Integration Tools: Familiarity with processes or tools used to connect different data sources.

📝 Enhancement Note: Deep expertise in Qualtrics is non-negotiable. Understanding how survey data interfaces with broader customer data platforms (like CRMs and behavioral analytics tools) is crucial for operations roles aiming to provide holistic insights.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decisions: A core value will be the reliance on empirical evidence and quantitative insights to guide product development, GTM strategies, and operational improvements.

• User-Centricity: A commitment to deeply understanding and advocating for the user's needs and experience as a primary driver of success.

• Collaboration & Partnership: Emphasis on working effectively across teams (UX, Product, Engineering, GTM) to achieve shared goals and ensure insights are integrated into business processes.

• Actionable Insights: A focus on not just collecting data but on translating it into clear, practical recommendations that lead to tangible improvements and business impact.

• Continuous Improvement: A mindset of always seeking ways to optimize processes, methodologies, and product offerings based on ongoing learning and feedback.

Collaboration Style:

• Cross-Functional Integration: Expected to actively engage with various departments, acting as a bridge between user feedback and product/GTM execution.

• Transparent Communication: Sharing findings and methodologies openly to foster understanding and buy-in from stakeholders.

• Feedback-Driven: Open to receiving and providing constructive feedback to refine research approaches and enhance collaboration effectiveness.

• Knowledge Sharing: Contributing to a team environment where best practices, learnings, and methodologies are shared to elevate the entire team's capabilities.

📝 Enhancement Note: The emphasis on data-driven decision-making and cross-functional collaboration strongly aligns with the principles of effective Revenue and GTM Operations, where bridging insights across departments is key to driving revenue.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Integration Complexity: Integrating survey data with diverse behavioral analytics platforms and internal datasets can present technical and logistical challenges.

• Translating Insights into Action: Effectively communicating complex quantitative findings to diverse audiences and ensuring they translate into concrete product or GTM changes requires strong persuasion and strategic thinking.

• Balancing Breadth and Depth: Managing multiple product areas or survey initiatives while maintaining analytical rigor and depth.

• Evolving Tools & Methodologies: Keeping pace with advancements in survey platforms, analytics tools, and research methodologies to ensure best practices are employed.

Learning & Development Opportunities:

• Advanced Qualtrics Certifications: Pursue official Qualtrics certifications to deepen expertise and gain formal recognition.

• Specialized Analytics Training: Opportunities to learn or improve skills in statistical modeling, data science, or specific analytical software.

• Cross-Functional Exposure: Gain deeper understanding of GTM, product management, and engineering processes through close collaboration.

• Mentorship: Potential to be mentored by senior researchers or leaders within Photon, or to mentor junior team members.

📝 Enhancement Note: Operations roles often involve navigating complex data ecosystems and influencing cross-functional stakeholders. Identifying these challenges and framing them as opportunities for skill development is key for candidates.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used in-product survey data to identify a significant user pain point that led to a product change." (Focus on your process: survey design, data analysis, stakeholder engagement, and outcome).

• "How would you approach designing an intercept survey to understand why users abandon the checkout process on our e-commerce platform?" (Demonstrate your understanding of targeting, question types, and potential integrations).

• "Walk me through your process for creating and automating a dashboard in Qualtrics to track user satisfaction post-onboarding." (Highlight your technical skills and ability to define key metrics). Company & Culture Questions:

• "What interests you about Photon and our products?" (Research Photon's mission, products, and recent news).

• "How do you see your role contributing to our overall GTM strategy and revenue goals?" (Connect your quantitative insights to business impact).

• "Describe your experience collaborating with Product Managers and Engineers. How do you ensure their needs are met while maintaining research integrity?" (Showcase your stakeholder management and communication skills). Portfolio Presentation Strategy:

• Quantify Everything: For each case study, start with the business problem, detail your role and methodology, and conclude with measurable results or impact.

• Show, Don't Just Tell: Use visuals from your dashboards or sample survey outputs to illustrate your work.

• Focus on the 'So What?': Clearly articulate the implications of your findings and the actions taken as a result.

• Be Prepared for Deep Dives: Anticipate questions about your methodology, data limitations, and alternative approaches you considered.

📝 Enhancement Note: Prepare specific examples that highlight your ability to not only analyze data but also to translate those analyses into actionable strategies that drive business outcomes, a critical skill for operations professionals.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Oracle Cloud candidate portal link provided.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your Qualtrics expertise, quantitative analysis skills, and ability to drive product or GTM improvements. Focus on projects with measurable impact.

• Tailor Your Resume: Highlight keywords from the job description such as "Qualtrics," "Quantitative Research," "Product Analytics," "In-product surveys," "Data Visualization," and "Stakeholder Management." Quantify achievements wherever possible.

• Prepare Your Narrative: Practice articulating your experience and portfolio projects concisely, focusing on the problem, your solution, and the business impact. Be ready to discuss your approach to data analysis and cross-functional collaboration.

• Research Photon: Understand their products, target markets (B2B/B2C), and recent company news to tailor your responses and demonstrate genuine interest.

⚠️ 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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