Senior User Researcher

Who you are

You are a high-agency researcher: someone who moves toward ambiguity, takes ownership without waiting for perfect direction, and uses research, data, and AI-native tools to help teams make better decisions faster. You know how to choose the right method, run rigorous studies, synthesize quickly, and make insights actionable for product, design, engineering, marketing, operations, sales, and leadership partners. You are comfortable with both generative and evaluative research, and you know that the best research changes decisions, not just documents findings.

You are AI-forward without being AI-naive. You are curious about tools like Claude, ChatGPT, Codex, NotebookLM, Dovetail AI, Maze AI, synthetic-data workflows, transcript analysis tools, MCP-enabled workflows, or similar tools, and you have probably tried some of them before they were fully ready. You understand that these tools can accelerate desk research, synthesis, pattern detection, research operations, and storytelling, but that they also introduce bias, privacy, quality, and interpretation risks that researchers need to manage carefully.

You combine strong research craft with pragmatic product judgment. You can listen deeply to families, providers, and internal teams, then translate what you learn into product direction, experience strategy, and clear next steps. You are energized by mission-driven work and by the chance to improve experiences that affect families during stressful, emotional, high-stakes decisions.

What you will do

Lead research across Consumer and Provider experiences

• Independently own generative and evaluative research across Consumer and Provider experiences, helping teams understand APFM's two core customers: families navigating care decisions and providers growing their businesses while delivering care.
• Shape and maintain a practical research plan tied to product strategy, design priorities, marketplace questions, and leadership decisions.
• Plan and run interviews, usability studies, concept tests, journey research, surveys, diary or longitudinal studies when appropriate, and lightweight mixed-method studies.
• Help teams understand families navigating senior care decisions and providers managing lead quality, engagement, and conversion.

Turn insight into product and design direction

• Synthesize findings into crisp, decision-oriented artifacts that influence roadmap, product and user experience direction, service design, and product strategy, connecting research to the broader care placement journey where family needs, provider needs, advisor workflows, AI capabilities, and business outcomes intersect.
• Partner with Product, Design, Analytics, Engineering, Marketing, Operations, Sales, and customer-facing teams to connect qualitative insight with behavioral, funnel, marketplace, and business data.
• Identify cross-squad patterns, unmet needs, trust gaps, high-risk assumptions, and experience risks before they become delivery problems.
• Facilitate conversations that help teams align on what we know, what we need to learn, and what decisions should change.

Strengthen research quality and reuse

• Contribute to repeatable research practices so teams can learn faster without lowering the quality bar.
• Use and improve lightweight rituals, templates, participant pipelines, and insight repositories that make Consumer and Provider insight easier to reuse.
• Partner with designers and product managers on practical research planning, method selection, and evidence-backed decisions.
• Model strong research craft and help teams choose the right level of rigor for the question, from rapid directional learning to deeper strategic research.

Increase research leverage with AI

• Experiment with AI-assisted workflows to accelerate research planning, desk research, transcript review, synthesis, pattern detection, and insight sharing.
• Use AI responsibly: protect participant privacy, check for hallucinations or overconfident summaries, and keep human interpretation at the center of research judgment.
• Help APFM evaluate AI-enabled product experiences for trust, usefulness, clarity, safety, adoption, and edge cases in moments where families and providers need confidence.
• Share what you are learning with Product, Design, Analytics, Engineering, Marketing, Operations, Sales, and research partners so the team gets better together.

Qualifications

• 5+ years of user research, UX research, product research, design research, or mixed-methods research experience.
• Strong command of qualitative research methods, including interviewing, usability testing, synthesis, and insight storytelling.
• Experience influencing product strategy and design direction through research.
• Ability to operate in ambiguity and prioritize research efforts against business, product, customer, and marketplace needs.
• Experience pairing qualitative research with analytics, experimentation, surveys, funnel data, or operational data.
• Demonstrated curiosity and hands-on experimentation with AI tools in the research or product development process.
• Ability to explain not just what you learned, but how your methods, evidence, constraints, and judgment shaped product decisions.
• Strong facilitation and communication skills with designers, product managers, engineers, analysts, marketers, operators, sales partners, and senior stakeholders.
• Experience in marketplaces, healthcare, senior care, consumer decision journeys, B2B workflows, provider experiences, or high-trust service experiences is a plus.
• Bonus: examples of research artifacts, passion projects, prototypes, side projects, or AI-assisted experiments that show how you think, learn, and make evidence useful.

Portfolio or work samples

Please include a portfolio, case studies, or work samples that show your research judgment, craft, synthesis, and decision influence. We are especially interested in work that shows how you move from ambiguity to clarity. Passion projects, research artifacts, AI-assisted experiments, or side projects are welcome if they help us understand how you think, learn, and communicate evidence outside of a standard case study format.

Compensation

• Base Salary: $135,000 to $160,000
• Bonus: 10% of annual earnings
• Benefits:
• 401(k) plus match
• Dental insurance
• Health insurance
• Vision Insurance
• Paid Time Off

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