Klue
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Recently posted jobs
Marketing Tech • Sales
Own full customer relationships from onboarding through renewal and expansion. Drive adoption, demonstrate ROI, multi-thread accounts, lead cross-functional account teams, spot and mitigate risk early, and hit renewal and expansion targets through commercial partnerships and change management.
Marketing Tech • Sales
Lead end-to-end B2B SaaS demand generation: design and run multi-channel campaigns (email, paid, webinars), plan and execute events, direct SDR strategy and coaching, oversee marketing ops and RevOps alignment, build AI-driven demand workflows, and measure pipeline, ROI, and event impact to drive qualified opportunities.
Marketing Tech • Sales
Execute high-volume, multi-channel outreach to recruit and qualify participants for B2B win-loss research. Manage ~30 programs, keep HubSpot updated, ensure interview readiness, collaborate with CSMs and Researchers, and iterate on outreach strategies using AI-assisted workflows to improve conversion and program health.
Marketing Tech • Sales
Perform targeted outbound prospecting and nurture inbound leads using cold/warm calls, LinkedIn, email and AI-assisted tools. Lead discovery calls, identify pain points, articulate Klue's value, and contribute to process or tool improvements while participating in a structured SDR onboarding and ramp program.
Marketing Tech • Sales
Lead end-to-end win/loss/churn research programs: onboard customers, conduct high-signal interviews, analyze findings, and deliver actionable reports. Train and tune AI interviewers, improve workflows, partner with customers and CSMs to drive renewal and expansion, and scale research through AI while preserving human-led high-trust conversations.
Marketing Tech • Sales
As a Social & Video Creator, you will produce video content and manage social content across platforms like LinkedIn and YouTube, focusing on brand storytelling and audience engagement through creative campaigns.
Marketing Tech • Sales
Build and operate LLM-powered agent backends at scale: design retrieval and orchestration pipelines, optimize latency and inference cost, develop evaluation and human-in-the-loop systems, and own end-to-end projects from architecture to production readiness while collaborating with product, infrastructure, and data teams.
