Research Manager
About The Position
At Klue, we’re building the future of competitive intelligence. As a Research Manager, you'll be the person our customers and internal teams rely on to uncover the why behind every win, loss, and churn, and then scale that capability through AI. Your mission is twofold: deliver high-impact research programs that sharpen our customers' go-to-market strategies, and actively train, tune, and supervise the AI interviewers that let us do this at scale. When our customers win because of insights you uncovered, and the AI you trained, we all win. You'll get a front-row seat to the future of qualitative research: a model where expert researchers focus their time on high-trust, high-signal conversations AI can't replicate — while continuously improving the AI interviewers that handle the rest. You'll master interviewing craft, qualitative analysis, and AI system training, all within a team actively reshaping how win-loss research gets done. This role offers a clear path to Senior Research Manager, Research Director, or AI-enabled research leadership within a high-growth, high-trust team.
Requirements
- Strong communication skills across interviewing, writing, and customer-facing presentations.
- Excellent qualitative research skills: probing, active listening, sense-making, and narrative development.
- Ability to design, train, and continuously improve AI interviewers using real interviews, feedback loops, and expert judgment.
- Strong organizational and program management skills across multiple concurrent customer engagements.
- Analytical, pattern-seeking mindset. Comfortable connecting qualitative insight to structured data.
- High emotional intelligence and sound customer judgment, especially in high-trust interview situations.
- Independent, proactive, and comfortable with ambiguity in a fast-moving environment.
- Natural curiosity and willingness to ask hard questions of both customers and systems.
Nice To Haves
- Hands-on experience with modern LLMs beyond basic usage: prompt design, evaluation, iteration, and failure analysis.
- Experience configuring or experimenting with AI agents, workflows, or automation tools in research, support, or analysis contexts.
- Comfort pressure-testing AI outputs, identifying signal vs. noise, and knowing when human judgment should override the system.
- Exposure to non-win-loss qualitative research methods (buyer journey, churn analysis, JTBD, voice-of-customer programs).
- Experience working alongside product, data, or AI teams to improve systems, tooling, or research infrastructure.
- For internal candidates: 500+ win-loss interviews and deep familiarity with our program processes.
- For external candidates: customer-facing consulting or analyst experience, product marketing with win-loss/churn exposure, or 5+ years in B2B tech research with substantial customer interaction.
Responsibilities
- Own program delivery end-to-end: customer onboarding, interview strategy (human and AI mix), analysis, and reporting. Ensure every program delivers actionable insights that drive renewal and expansion.
- Conduct win, loss, churn, and seller interviews where human judgment is essential: high-trust relationships, complex buyer situations, and conversations that unlock insights AI can't yet reach on its own.
- Design, train, and continuously improve AI interviewers using real interview data, feedback loops, and your expert judgment. A growing share of eligible interviews will be handled by AI, and you'll own the quality bar for that output.
- Transform interview findings into compelling research briefs, executive summaries, and narratives customers can act on, delivered inside the Klue platform, including Ask Klue and agentic outputs powered by win-loss data.
- Build trusted relationships with customer program stakeholders. Manage expectations, surface expansion opportunities, and partner with CSMs to support renewal outcomes.
- Identify workflow improvements and automation opportunities. Contribute to evolving Klue's research practice as the human/AI interview model matures.
Benefits
- Extended health & dental coverage that starts on Day 1.
- Discounts at Goodlife and Perkopolis.
- Employee Stock Option Plan.
- Mac (or PC, if that’s your jam) and access to A+ tooling.
- AI First. All employees are encouraged to lean into AI to work smarter and faster.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
