Senior UX Researcher, Mixed Methods (Quant-Leaning)

📍 Job Overview

Job Title: Senior UX Researcher, Mixed Methods (Quant-Leaning)

Company: Suno

Location: New York City, New York, USA

Job Type: FULL_TIME

Category: User Experience Research / Product Analytics

Date Posted: September 16, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Lead advanced quantitative UX research initiatives, focusing on survey science, measurement, and statistical analysis to drive product strategy and monetization efforts.

• Design and execute sophisticated quantitative studies, including choice-based conjoint, MaxDiff, price sensitivity analysis, and longitudinal trackers, to inform critical business decisions.

• Partner closely with Product Management and leadership teams to translate complex business questions into research designs that yield actionable insights for pricing, packaging, and conversion strategies.

• Leverage data analysis skills in SQL and Python/R to combine attitudinal and behavioral data, explaining user conversion, retention, and churn dynamics.

📝 Enhancement Note: This role is specifically designed for a quantitative-leaning researcher who can bring methodological depth to Suno's growth and monetization efforts. The emphasis on "quant-leaning" and specific methodologies like conjoint, MaxDiff, and price sensitivity suggests a need for a researcher who can rigorously measure user preferences and willingness to pay, directly impacting revenue streams.

📈 Primary Responsibilities

• Own Survey Methodology: Design, execute, and analyze advanced quantitative studies, including conjoint, MaxDiff, TURF, price sensitivity, monadic, and sequential monadic testing. This includes responsibility for sampling, quotas, logic, bias mitigation, weighting, and interpretation.

• Drive Pricing and Packaging Decisions: Collaborate directly with Product Managers and Leads responsible for subscription revenue to conduct studies that inform pricing tiers, packaging structures, and conversion strategies with high confidence.

• Build Longitudinal Measurement Systems: Develop and enhance the existing always-on measurement program, including satisfaction and sentiment trackers, product health composites, perception scales, and monthly reporting to leadership, ensuring trend trustworthiness.

• Explain User Behavior: Combine attitudinal research findings with behavioral data from Snowflake to understand the drivers of conversion, churn, and retention, and to identify opportunities for win-back strategies.

• Segment and Understand Users: Develop and maintain user segments based on behavioral clusters, providing attitudinal meaning to understand user motivations, values, and willingness to pay, ensuring segments remain validated and actionable.

• Conduct Qualitative Research: Execute qualitative studies such as interviews, diary studies, and concept testing when depth is required to define constructs or explain quantitative findings.

• Advise on Method Selection: Serve as an internal consultant, guiding stakeholders on the most appropriate research methodologies (qualitative, quantitative, experimental) to address specific product questions and ensure studies lead to decision-making.

• Communicate Insights Effectively: Translate complex, multi-source data into clear, compelling narratives and actionable recommendations through dashboards, decks, and presentations for senior stakeholders.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on direct impact to revenue and growth metrics. The expectation to "own" methodologies and "explain conversion, retention, and churn" implies a need for a researcher who can not only conduct studies but also drive strategic decisions based on their findings, acting as a key advisor to revenue-focused teams.

🎓 Skills & Qualifications

Education:

• Bachelor's or Postgraduate degree in Statistics, Behavioral Science, Psychology, Sociology, Human-Computer Interaction (HCI), Economics, or a related quantitative field. Experience:

• 5+ years of experience conducting quantitative research within a product environment, complemented by significant qualitative research experience.

• Demonstrated hands-on experience designing and defending advanced survey methodologies such as choice-based conjoint, MaxDiff, TURF, price sensitivity methods, and monadic/sequential monadic testing.

• Proven track record of building and managing longitudinal measurement frameworks, including satisfaction trackers, benchmarks, perception scales, and composite health metrics.

• Experience working directly against a data warehouse using SQL and Python or R for data analysis.

• Strong understanding of practical statistics, including regression, ANOVA, and hypothesis testing, with the ability to critically assess sample limitations.

• Proficient in qualitative research methods and capable of determining when qualitative depth is more appropriate than quantitative scale.

• Demonstrated product sense and an outcome-centric mindset, with the ability to structure ambiguous questions into researchable problems.

• Ability to persuade and influence senior stakeholders, even when presenting findings that may be counter to initial expectations.

• Self-directed with a high tolerance for ambiguity and operating at a fast pace, similar to a solo researcher in a startup environment.

• Enthusiasm for consumer products, creativity, music, and AI. Required Skills:

• Advanced Quantitative UX Research Design & Execution

• Expertise in Survey Methodology (Conjoint, MaxDiff, Price Sensitivity, etc.)

• Longitudinal Measurement System Development

• Data Analysis using SQL and Python/R

• Statistical Analysis (Regression, ANOVA, Hypothesis Testing)

• Qualitative Research Methods (Interviews, Diary Studies)

• Stakeholder Management & Influence

• Product Sense & Outcome-Centric Approach Preferred Skills:

• Advanced degree with methodological training and industry experience.

• Experience in subscription-based consumer businesses, particularly in pricing, packaging, conversion, or retention.

• Familiarity with survey platforms and conjoint tooling (e.g., Conjointly, Sawtooth, Qualtrics, Sprig).

• Experience with causal inference, experimentation, and critical evaluation of A/B test readouts.

• Experience establishing measurement infrastructure from scratch.

• Background in consumer audio, music, or social products.

• Experience researching AI and generative products.

• Direct experience using Suno to create music.

📝 Enhancement Note: The requirements emphasize a deep, hands-on expertise in quantitative methodologies, particularly those directly applicable to pricing and monetization strategy. The preference for candidates who can work directly with data warehouses and scripting languages (SQL, Python/R) indicates a need for a researcher who can be highly autonomous and efficient, minimizing reliance on dedicated data science or analytics teams for core data tasks.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Quantitative Study Designs: Showcase examples of end-to-end quantitative research projects, clearly detailing the research objectives, chosen methodologies (e.g., conjoint, MaxDiff, price sensitivity), instrument design, sampling strategy, and analytical approach.

• Methodological Depth: Include case studies demonstrating your expertise in advanced quantitative techniques, such as choice-based conjoint analysis, MaxDiff scaling, or price sensitivity modeling. Clearly articulate the rationale for method selection and how it addressed the core business question.

• Data Analysis & Interpretation: Present examples of how you've combined attitudinal and behavioral data (e.g., from SQL queries or scripts) to derive insights, explain user behavior (conversion, churn, retention), and support strategic recommendations. Highlight statistical rigor and how you’ve mitigated bias or addressed sample limitations.

• Longitudinal Measurement Frameworks: If possible, showcase experience in developing or managing ongoing measurement systems, such as satisfaction trackers or product health metrics, demonstrating how you’ve tracked trends and communicated impact over time.

Process Documentation:

• Research Plan & Design: Demonstrate your ability to create comprehensive research plans that clearly outline objectives, hypotheses, target audiences, methodologies, and timelines for complex quantitative studies.

• Data Analysis & Reporting: Provide examples of how you structure your quantitative data analysis, including statistical outputs, visualizations, and clear summaries of findings. Showcase your ability to translate complex statistical results into actionable insights for non-technical stakeholders.

• Stakeholder Communication: Include examples of how you've presented research findings and recommendations to senior leadership, particularly in the context of pricing, packaging, or conversion strategies, emphasizing persuasive communication and the ability to influence decisions.

📝 Enhancement Note: For a quant-leaning researcher, the portfolio should strongly emphasize rigorous quantitative study design, execution, and analysis. The ability to demonstrate not just the what but the why behind methodological choices, coupled with clear evidence of how research directly influenced business decisions (especially around revenue), will be critical. Showcasing direct data manipulation skills (SQL, Python/R) within these examples will be highly beneficial.

💵 Compensation & Benefits

Salary Range: $176,000 - $220,000 USD per year (plus target equity)

Benefits:

• Financial Security: Company Equity Package, 401(k) with 3% Employer Match, Roth 401(k) options.

• Health & Wellness: Comprehensive Medical, Dental, and Vision Insurance (with PPO and HSA/FSA options).

• Work-Life Balance: 11 Paid Holidays, Unlimited Paid Time Off (PTO) & Sick Time, 16 Weeks of Paid Parental Leave.

• Professional Development: Creative Education Stipend.

• Daily Conveniences: Generous Commuter Allowance, In-Office Lunch provided 5 days per week.

Working Hours: 40 hours per week (standard full-time).

📝 Enhancement Note: The salary range provided is competitive for a Senior UX Researcher role in New York City, particularly for a fast-growing tech company like Suno. The benefits package is robust, offering strong financial, health, and work-life balance components, with a notable emphasis on professional development and daily convenience perks like commuter allowance and catered lunches, which are attractive for on-site roles. The inclusion of equity further enhances the total compensation.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI, Music Technology, Consumer Entertainment, Software

Company Size: Rapidly growing, indicated by significant VC backing and the need for specialized roles. The company is described as "fast," with "ambition" and a need for "ownership and intensity."

Founded: While the founding date isn't explicitly stated, Suno is positioned as a leader in AI music and the "fastest growing consumer entertainment company," suggesting a relatively young but highly dynamic and impactful organization.

Team Structure:

• Research Team: The role is part of a dedicated UX Research team, but operates with the "autonomy of a solo researcher." This implies a collaborative environment where researchers can share knowledge but are expected to drive their own initiatives.

• Cross-functional Collaboration: Close partnerships are expected with Product Managers and Leads focused on growth, monetization, and subscription revenue. Collaboration with Data Science is also highlighted as a peer relationship.

• Leadership Interaction: The role involves regular communication and reporting to senior leadership, with a need to influence strategic decisions.

Methodology:

• Data-Driven Decision Making: Strong emphasis on quantitative data and rigorous research to inform product and business strategy.

• Iterative Development: The fast-paced environment suggests an iterative approach to product development, where research insights are continuously fed back into the process.

• User-Centricity: While quantitatively focused, the core mission is to enable "everyone to feel the joy and fulfillment of making music," indicating a deep underlying focus on user experience and creative expression.

Company Website: https://www.suno.com/

📝 Enhancement Note: Suno's culture is characterized by high ambition, rapid growth, and a demanding yet rewarding work environment. The company is at the forefront of AI music creation, attracting significant investment. The operations culture within Suno, particularly for research roles, emphasizes autonomy, direct impact on business metrics (revenue, growth), and a blend of rigorous quantitative analysis with strategic product thinking.

📈 Career & Growth Analysis

Operations Career Level: Senior UX Researcher, with a clear emphasis on methodological depth and ownership. This role is positioned as a specialist hire to fill a specific gap in quantitative measurement capabilities, rather than a generalist or junior position.

Reporting Structure: While not explicitly stated, Senior UX Researchers typically report to a Head of Research, Director of Product, or a similar senior leadership role within the product organization. The emphasis on working with PMs and Leads suggests a strong integration within product teams.

Operations Impact: The role has a direct and significant impact on revenue generation and business growth. By providing data-driven insights into pricing, packaging, conversion, and retention, the researcher's work will directly influence key business metrics and strategic decisions.

Growth Opportunities:

• Methodological Specialization: Opportunity to deepen expertise in advanced quantitative research methodologies and become the go-to expert in survey science and measurement for the company.

• Strategic Influence: Grow into a key advisor role for product and business strategy, with a direct line to senior leadership and the ability to shape critical revenue-generating initiatives.

• Leadership Potential: As the company scales, there may be opportunities to lead research initiatives, mentor junior researchers, or develop new research functions within the organization.

• Industry Leadership: Contribute to the growing field of AI-driven creative tools and consumer entertainment research, potentially speaking at conferences or publishing findings.

📝 Enhancement Note: This Senior UX Researcher role offers a distinct path for growth focused on deep quantitative expertise and strategic business impact, particularly within a high-growth, innovative company. The opportunity to build and own critical measurement systems and directly influence revenue strategies provides a strong foundation for career advancement within Suno or the broader tech industry.

🌐 Work Environment

Office Type: This is an on-site role requiring 5 days per week in the New York City office.

Office Location(s): New York City, New York.

Workspace Context:

• Collaborative Environment: While operating with solo researcher autonomy, the role involves close collaboration with PMs, Leads, and Data Science. The office environment likely facilitates these interactions.

• Tools & Technology: Access to necessary research platforms, data warehouses (Snowflake), and analytical tools (SQL, Python/R) is implied. The company's focus on AI and music suggests a modern and potentially cutting-edge tech stack.

• Team Interaction: Daily in-office presence allows for spontaneous discussions, brainstorming, and direct feedback loops with colleagues, crucial for fast-paced product development.

Work Schedule: Standard 40-hour work week, with the expectation of intensity and ownership common in fast-growing startups. The unlimited PTO policy suggests flexibility when needed, balanced with the on-site requirement.

📝 Enhancement Note: The mandatory 5-day on-site work arrangement in New York City is a key aspect of the work environment. This suggests a company culture that values in-person collaboration, spontaneous ideation, and a strong sense of team cohesion. For operations roles, this can foster deeper relationships and more efficient problem-solving.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of your resume and portfolio, focusing on quantitative research experience and methodological depth.

• Hiring Manager/Team Interview: Discussions about your experience, approach to quantitative research, specific methodologies (conjoint, MaxDiff, etc.), and how you handle ambiguous problems. Expect questions about your comfort with SQL/Python/R and influencing stakeholders.

• Portfolio Presentation/Case Study: A core part of the process will likely involve presenting one or more detailed case studies from your portfolio. This will demonstrate your research design, execution, analysis, and how your findings led to business impact. Prepare to answer deep questions about your methodology and decision-making.

• Cross-functional Interviews: Meetings with Product Managers, Leads, and potentially Data Scientists to assess collaboration style, communication skills, and how you integrate research into product development cycles.

• Final Round: Likely with senior leadership to discuss strategic alignment, cultural fit, and overall impact potential.

Portfolio Review Tips:

• Quant Focus: Ensure your portfolio prominently features your strongest quantitative research projects. Clearly articulate the business problem, your methodological approach (especially advanced techniques), the data you worked with, your analysis, and the resulting impact on product strategy or business outcomes.

• Methodological Depth: Be ready to dive deep into the specifics of conjoint, MaxDiff, price sensitivity studies, or longitudinal trackers you've designed and executed. Explain why you chose a particular method and how you mitigated potential biases.

• Data & Tools: Showcase examples where you've used SQL, Python, or R to analyze data directly. Demonstrate your ability to connect attitudinal findings with behavioral data.

• Impact & Influence: Quantify the impact of your research whenever possible. Highlight instances where your findings influenced pricing, packaging, or conversion strategies and how you persuaded stakeholders.

• Narrative Structure: For each case study, build a compelling narrative: problem, approach, findings, recommendations, and impact.

Challenge Preparation:

• Methodology Questions: Be prepared to discuss trade-offs between different quantitative methods, how you would approach specific research questions (e.g., determining optimal pricing for a new feature), and how you handle complex data analysis challenges.

• Stakeholder Scenarios: Practice articulating how you would communicate difficult findings to stakeholders and how you would ensure your research recommendations are acted upon.

• Data Exploration: Be ready for hypothetical scenarios where you might be asked to outline how you would approach analyzing a dataset or designing a study to answer a specific business question.

📝 Enhancement Note: The interview process for this role will heavily scrutinize your quantitative research expertise and your ability to translate complex data into actionable business insights that drive revenue. A well-curated portfolio showcasing direct experience with advanced methodologies and demonstrable business impact will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Experience with platforms like Qualtrics, Sprig, or similar for designing and deploying advanced quantitative surveys.

• Conjoint Tooling: Familiarity with specialized software for conjoint analysis (e.g., Conjointly, Sawtooth) or the ability to implement these methods using statistical software.

• Data Warehouse: Direct experience querying data warehouses like Snowflake is a requirement.

• Programming Languages: Proficiency in SQL for data extraction and manipulation, and Python or R for advanced statistical analysis and modeling.

• Qualitative Research Tools: Experience with tools for conducting interviews, diary studies, or concept testing.

Analytics & Reporting:

• Statistical Software: Proficiency in Python/R libraries for statistical analysis (e.g., statsmodels, SciPy, tidyr, dplyr).

• Data Visualization Tools: Ability to create clear and impactful dashboards and reports, potentially using tools like Tableau, Looker, or within Python/R.

CRM & Automation:

• While not a primary focus, understanding how research insights feed into CRM strategies or marketing automation for customer segmentation and targeting would be beneficial.

📝 Enhancement Note: The emphasis on direct data access and analysis tools (SQL, Python/R, Snowflake) is a key differentiator for this role. Candidates are expected to be hands-on analysts capable of independently extracting, cleaning, and analyzing data, rather than relying on others for these tasks.

👥 Team Culture & Values

Operations Values:

• Methodological Rigor: A deep commitment to using robust, statistically sound research methods to ensure the validity and reliability of findings.

• Data-Driven Decision Making: Valuing insights derived from data over intuition, and ensuring research directly informs critical business decisions.

• Outcome Orientation: Focusing research efforts on questions that have a clear potential to drive measurable business outcomes, particularly in revenue and growth.

• Autonomy & Ownership: Expectation that individuals will take full ownership of their projects, from design to delivery, operating independently and proactively.

• Impactful Communication: Translating complex research into clear, concise, and persuasive narratives that drive action and influence stakeholders.

Collaboration Style:

• Peer-to-Peer: Working closely with PMs, Leads, and Data Scientists as peers, contributing specialized expertise to cross-functional teams.

• Consultative: Acting as an internal consultant, advising on the best research approaches and methodologies for different business questions.

• Direct & Honest: Willingness to push back on studies that lack clear objectives or cannot deliver actionable insights, and to present findings honestly, even when they are unfavorable.

• Knowledge Sharing: While autonomous, there's an implicit expectation of contributing to the broader research team's knowledge base and best practices.

📝 Enhancement Note: The culture at Suno, particularly for this role, appears to foster a high-performance environment where individuals are empowered, expected to be self-sufficient, and directly accountable for driving business results through rigorous, data-backed insights.

⚡ Challenges & Growth Opportunities

Challenges:

• Driving Monetization Strategy: The primary challenge is to provide research that directly leads to successful pricing, packaging, and conversion strategies in a competitive subscription market. This requires translating complex user preferences into actionable business levers.

• Rapid Iteration & Speed: Operating in a fast-paced, high-growth environment means research needs to be delivered quickly without sacrificing methodological integrity. Balancing speed with depth will be a constant challenge.

• Ambiguous Questions: Dealing with stakeholders who may have vague questions or desired outcomes, and needing to structure these into clear, researchable problems.

• Influencing Senior Stakeholders: Persuading senior leadership, who may have strong opinions or preconceived notions, with data-driven insights that might challenge their views.

Learning & Development Opportunities:

• Advanced Quantitative Methods: Opportunity to become a recognized expert in cutting-edge survey methodologies and measurement science within the AI and consumer entertainment space.

• Subscription Business Acumen: Deepen understanding of subscription models, pricing strategies, churn prediction, and retention drivers in a high-growth tech context.

• Cross-functional Strategy: Gain exposure to product strategy, growth hacking, and monetization planning at a leadership level.

• Building Measurement Infrastructure: Develop skills in establishing and scaling measurement systems that become foundational to a company's operational intelligence.

📝 Enhancement Note: This role presents a significant opportunity for a researcher who thrives on complex challenges and desires to make a direct, measurable impact on a company's commercial success. The growth opportunities are tied to developing specialized quantitative expertise and strategic influence within a cutting-edge industry.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed and executed a choice-based conjoint study. What was the business objective, what were your key findings, and how did they influence product or pricing decisions?"

• "How would you approach determining the optimal price points for different tiers of a music creation subscription service?"

• "Walk me through how you've used SQL and Python/R to combine behavioral and attitudinal data to explain user churn. What statistical methods did you employ?"

• "Imagine a PM wants to understand what features drive subscription conversion. What research methods would you propose, and what are the pros and cons of each?"

• "How do you ensure your quantitative research findings are trustworthy when dealing with potential biases in survey responses?" Company & Culture Questions:

• "Based on our mission and the role description, what do you see as the biggest research challenges for Suno regarding user monetization?"

• "How do you balance the need for speed in a startup environment with the rigor required for sound quantitative research?"

• "Describe a situation where you had to deliver difficult or unexpected research findings to senior stakeholders. How did you manage the conversation and ensure your insights were heard?"

• "What is your philosophy on the interplay between qualitative and quantitative research, especially in a quant-leaning role?" Portfolio Presentation Strategy:

• Quant-Centric Case Studies: Select 2-3 projects that best showcase your advanced quantitative research skills, particularly those related to pricing, packaging, or user behavior analysis.

• Clear Structure: For each case study, follow a logical flow: Business Problem -> Research Objectives -> Methodology (with justification) -> Data Source(s) & Analysis -> Key Findings -> Recommendations -> Business Impact.

• Data Visualization: Use clear, impactful charts and graphs to illustrate your findings. Be prepared to explain the data and your analytical process in detail.

• Focus on Impact: Emphasize the business outcomes of your research. Quantify the impact on revenue, conversion rates, or retention if possible.

• Methodological Defense: Be prepared to answer deep questions about your methodological choices, statistical assumptions, and how you mitigated potential issues.

📝 Enhancement Note: Interview preparation should focus on articulating your quantitative research process with precision, demonstrating your ability to leverage data analysis tools, and highlighting instances where your research directly influenced revenue-generating strategies. Be ready to defend your methodological choices and communicate complex findings clearly to diverse audiences.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your resume and portfolio to highlight your strongest quantitative research projects, specifically those involving advanced methodologies like conjoint analysis, MaxDiff, price sensitivity studies, and longitudinal tracking. Emphasize your experience with SQL, Python/R, and Snowflake.

• Resume Optimization: Ensure your resume clearly articulates your 5+ years of experience in product research, with specific achievements related to influencing product strategy, monetization, and revenue growth. Use keywords from the job description like "quantitative research," "survey methodology," "conjoint analysis," "SQL," and "stakeholder management."

• Prepare Case Studies: Select 2-3 key projects for your portfolio that best demonstrate your quantitative expertise and business impact. Practice presenting these case studies, focusing on clear communication of methodology, findings, and outcomes.

• Research Suno: Familiarize yourself with Suno's product, mission, and recent developments. Understand their position in the AI music and entertainment space and consider how your research skills can contribute to their growth and monetization 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.