Klue
Research Manager
Vancouver, British Columbia · Exec · Full-time
Sponsorship not specifiedDetected 46 days ago
LLMsAgentic AICRMOnboardingResearchLeadershipCommunicationMentoring
About the role
- 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.
- Identify workflow improvements and automation opportunities.
Responsibilities
- Research Program Leadership. 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.
- High-Signal Interviewing. 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.
- Customer Partnership. Build trusted relationships with customer program stakeholders. Manage expectations, surface expansion opportunities, and partner with CSMs to support renewal outcomes.
- 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.
- We ensure it's trustworthy, automated, and activated across every department, so they have the answers they need to own their market.
- It drives Klue's autonomous agents that handle the heavy lifting for customers: collecting intel, generating insights, and ensuring content is updated and available across departments.
- We're a curious, collaborative team building a platform that helps companies compete with confidence, and we're looking for people who want to do meaningful work alongside others who care about craft and impact.
Requirements
- Hands-on experience with modern LLMs beyond basic usage: prompt design, evaluation, iteration, and failure analysis.
- 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.
- If you know you have what it takes, even if that's different from what we've described, be sure to explain why in your application.
- Must Haves:
- 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.
- Natural curiosity and willingness to ask hard questions of both customers and systems.
- Experience configuring or experimenting with AI agents, workflows, or automation tools in research, support, or analysis contexts.
Skills
- 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.
- probing, active listening, sense-making, and narrative development.
- Nice-to-Haves:
- 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.
- Not ticking every box?
Compensation
- We reward high performance and growth through career development, coaching, and annual performance reviews.
Benefits
- Extended health & dental coverage that starts on Day 1.
- Fun perks like discounts at Goodlife and Perkopolis are gravy.
- Ownership: All full-time employees have the opportunity to participate in our Employee Stock Option Plan.
- Our Vacation Policy is Take The Time You Need.
- We just ask that you give notice and don't leave your team hanging.
- We're a fast-growing, globally-distributed team based in Vancouver (with hubs like Toronto), scaling quicker than ever.
Company info
- AT KLUE https://klue.com/, WE'RE BUILDING THE FUTURE OF COMPETITIVE INTELLIGENCE
- 👋 KLUE WIN-LOSS IS HIRING!
- 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.
- Insight and Analysis. 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.
- 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.
- We're on a mission to help organizations stop losing winnable deals.
- Customer Stories https://klue.com/customers?utm_source=chatgpt.com
- About Us https://klue.com/blog
This listing is sourced directly from Klue's careers page and normalized into a canonical job model.