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New York, New York, United States
Onsite
Not Available
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
Founded in 2023 by Harvard alumni with a shared passion for music, Suno has quickly grown to 250 employees while empowering more than 100 million people to create original songs. In 2026, we raised a $400 million Series D at a $5.4 billion valuation to continue building innovative products that amplify creativity and imagination.
We have a large and growing user base, with an opportunity to deepen our understanding of what drives conversion, willingness to pay, and long-term subscription value.
We’re looking for a Senior Mixed Methods UX Researcher in New York to lead this work. This is a quantitatively oriented role focused on using rigorous research and measurement to shape product and growth decisions, complemented by qualitative research when deeper user insight is needed.
You’ll partner closely with product and cross-functional leaders across growth, monetization, and subscriptions, helping inform fast-moving decisions around pricing, packaging, and conversion.
This role adds deep research expertise to the team. You’ll set a high bar for methodological rigor, clarify what the research can reliably answer, and guide stakeholders toward well-supported decisions.
Listen to the song we made about this role! https://suno.com/s/xVPN3bUuZ4xbO8M9
Own survey methodology as a craft - Design and run advanced quantitative studies end to end: conjoint, MaxDiff and TURF, price sensitivity, monadic testing, segmentation, driver and key-driver analysis. Own sampling, quotas, logic, bias mitigation, weighting, and the analysis that follows.
Make pricing and packaging decisions defensible - Partner directly with the PMs and leads owning subscription revenue to turn packaging, tier, and pricing questions into studies that produce an answer they can act on, with honest confidence intervals attached.
Build and evolve our longitudinal measurement systems - Extend our always-on measurement program: satisfaction and sentiment trackers, product health composites, perception scales, and the reporting cadence that puts them in front of leadership every month. Make the trends trustworthy enough that people change plans because of them.
Explain conversion, retention, and churn - Combine attitudinal data with behavioral data in Snowflake to answer why people convert, why they cancel, and what would bring them back. Work with data science as a peer, not a requester.
Own the measurement layer of segmentation - Turn behavioral clusters into segments with attitudinal meaning: what each group is trying to do, what they value, and what they'll pay for. Keep those segments alive and validated rather than one-off.
Lead qualitative work when depth beats scale - Run interviews, diary studies, and concept work to define the right constructs before you measure them, and to explain the findings the numbers can't.
Advise on method selection across the org - Act as the internal consultant on when a question needs qual, quant, an experiment, or nothing at all. Push back on studies that won't change a decision.
Communicate so it lands - Turn multi-source data into a clear narrative with a recommendation. Dashboards and decks are the delivery mechanism, not the output.
5+ years conducting quantitative research in a product environment, with real qualitative range alongside it
Degree in Statistics, Behavioral Science, Psychology, Sociology, HCI, Economics, or a related quantitative field
Genuine depth in the end-to-end survey process: construct definition, instrument design, logic and branching, quotas, bias mitigation, weighting, and analysis
Hands-on experience with advanced survey methodologies, specifically choice-based conjoint, MaxDiff, TURF, price sensitivity methods, and monadic or sequential monadic testing. Not "familiar with," but studies you designed and defended
Experience building longitudinal measurement frameworks: trackers, benchmarks, perception scales, composite health metrics
Comfortable in SQL and in Python or R for analysis, and able to work directly against a warehouse rather than waiting on a pull
Fluent in the statistics that come up in practice: regression, ANOVA, hypothesis testing, and knowing when your sample can't carry the claim
Proficient in qualitative methods, and clear-eyed about when the right answer is twelve interviews rather than a survey
Strong product sense and an outcome-centric mindset. You bring structure to questions that arrive vague
Persuasive with senior stakeholders, including when the finding is not what they hoped for
Self-directed with a high tolerance for ambiguity and speed. We have a research team, but everyone here works with the autonomy of a solo researcher at a startup
Excited by consumer products, creativity, music, and AI
Advanced degree with methodological training, combined with industry experience
Experience in subscription consumer businesses, especially on pricing, packaging, conversion, retention, or win-back
Experience with survey platforms and conjoint tooling (Conjointly, Sawtooth, Qualtrics, Sprig, or similar)
Experience with causal inference and experimentation, including covariate adjustment, and comfort reading an A/B readout critically
Experience standing up measurement infrastructure somewhere it didn't exist
Background in consumer audio, music, or social products
Experience researching AI and generative products, where user mental models are still forming
Bonus points if you've used Suno to make music
Additional Notes
You must be authorized to work in the United States
You must be willing to work 5 days per week at our New York City office
Perks & Benefits for Full-Time Employees
Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
Compensation
The annual salary range for this role is: $176K – $220K (before equity)
Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
