Level

Mercury

Research Operations Lead

Mercury is hiring a Research Operations Lead for a remote role open to applicants in United States. Level rates it ; you can apply on Mercury.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Dovetail, Maze and Rally among its tools and skills.
  • Mercury has 76 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Research Operations Lead managing research programs, tool stacks, and AI-enabled workflows for product and design teams.

dovetailmazerally
research-operationsqualitative-researchquantitative-researchprogram-management

The best teams don't treat customer understanding as a checkpoint. They build it into the work: learning how customers see the world, carrying that perspective into everyday decisions, and making better products because of it.

At Mercury, research is a democratized practice. Designers and PMs talk directly to customers, and Research Operations builds and runs the system that makes that fast, high quality, and ethical. We're looking for a Research Operations Lead to build and run that program as Mercury scales. You've done this before and have a clear point of view on how it should work. This is a hands-on leadership role: you’ll set the strategy and priorities for research enablement, develop the team, and personally lead work where senior judgment matters most.

In this role, you will:

  • Own the strategy, roadmap, and operating model for research at Mercury, enabling Product, Design, and Marketing to run research with autonomy
  • Apply senior research judgment to complex or high-stakes work, using recurring gaps to strengthen the standards and guidance that raise research quality across Mercury.
  • Partner closely with design managers, designers, and PMs so customer evidence informs decisions from early discovery through post-launch usability and funnel analysis
  • Own our research tool stack (including Dovetail, Maze, and Rally), along with vendor relationships, budget, and build-versus-buy decisions
  • Own and improve Mercury’s AI-enabled workflows for research planning, customer conversations, and synthesis, maintaining high standards for evidence, privacy, and human judgment
  • Pilot new ways of getting close to customers, such as rolling research programs and customer events like research dinners
  • Make customer learning visible across Mercury, surfacing patterns that deepen teams’ understanding of the people they serve.
  • Manage and coach one direct report, setting priorities and supporting their growth while staying hands on in the work

You should:

  • Have 8+ years of hands-on research operations experience and a track record of building or scaling a program with measurable impact
  • Have 1-2 years of people management experience
  • Be a thought leader in the space
  • Have qualitative research experience and quantitative fluency
  • Thrive in ambiguity where the discipline isn't fully figured out
  • Be an excellent coach to non-researchers, building their judgment and confidence 
  • Use AI in your daily work and stay curious about what's genuinely useful versus merely new
  • Communicate clearly with practitioners and senior stakeholders

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-AK1

Total Rewards
The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area:$189,400—$236,700 USDUS employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $170,400—$213,000 USDCanadian employees (any location):$179,000—$223,700 CAD

How we rate this

Research Operations Lead at Mercury rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Research OperationsQualitative ResearchQuantitative ResearchProgram ManagementDovetailMazeRally

Questions you could be asked

  1. Tell me about a project where research operations was part of your work. What did you do?
  2. Tell me about a project where qualitative research was part of your work. What did you do?
  3. Tell me about a project where quantitative research was part of your work. What did you do?
  4. Tell me about a project where program management was part of your work. What did you do?
  5. Walk me through how you've used Dovetail in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Research Operations, Qualitative Research, Quantitative Research, Program Management, and Dovetail. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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