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Keplar

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

🔥 Funding within the last year

💰 $3.4M Seed on 2025-10

Artificial Intelligence • B2B • SaaS

Keplar is an AI-powered insights platform that automates qualitative customer research with a human-like voice moderator and digital twins to run large-scale, unbiased conversational studies. It conducts thousands of natural conversations to deliver richer, faster, and cheaper insights than traditional market research, providing end-to-end study setup, moderation, synthesis, and shareable reports for teams across customer insights, product, marketing, and customer success.

📋 Description

• You will own the full arc of every engagement, partnering with the client at each decision point while the Keplar agent suite handles the execution underneath you. • Build relationships with client stakeholders, understand the business question behind the research request, and offer consultative guidance on what's worth learning and why. • With Keplar's autonomous research tools, you'll translate business needs into learning plans, study guides, screeners, analysis plans, etc. • Enable clients to build entirely new ways of working. For example, we recently helped a client convert their multi-month demand-space discovery process to a 2 week sprint built atop voice interviews and agentic data analysis. Mine and interrogate data, working with Keplar Analyst to cut and probe findings, then layer in the interpretation, framing, and "so what" that only an experienced researcher can add. • Help shape the Keplar software suite itself: as a power user at the frontier, your feedback directly influences what the platform and agents do next.

🎯 Requirements

• 7+ years in a consumer insights or market research leadership role, with demonstrated experience of shaping the research practice and developing innovative practices. • CPG and/or retail exposure is a big plus — vendor-side, supplier-side, or client-side backgrounds all welcome if the craft is there. • Deep methodological range — fluency across qualitative and quantitative approaches, and hands-on familiarity with the studies our clients run: segmentation, demand space discovery and sizing, jobs-to-be-done, habits and practices, concept and message testing, attitudes and usage, and shopper insights/path-to-purchase work. • A flexible mindset. The "how" of insights is rapidly evolving, and with it, the role of insights in a marketing function itself. To excel, you'll have to think beyond qual and quant, beyond 1-off projects, and help us redefine the industry as a whole. • A consultant's instinct. You can sit with an ambiguous business problem, find the real question, and earn a stakeholder's trust. You're comfortable being the face of the work. • AI-native storytelling and synthesis. LLMs are notoriously bad at creative writing and storytelling, but they are phenomenal tools for cutting, analyzing, and understanding data. You work with AI to turn data into a narrative that drives a decision, and you build assets that land in the room. • A desire to work at the frontier of tooling. You're excited to work alongside AI agents, to let them handle execution while you hold the judgment, and to help make the tools better. • Autonomy and ownership. You can run an engagement end-to-end and be the single point of accountability for its quality.

🏖️ Benefits

• Competitive salary • Meaningful early-stage equity