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As an AI Business Development Representative, you’ll be the primary catalyst for user activation and expansion. You will work at the critical intersection of our Product-Led Growth (PLG) motion and our high-growth revenue engine. In this role, you will report into our Director of Sales. Your core mission is to identify high-potential users within our self-serve funnel and proactively convert them into qualified sales opportunities. You are part researcher and part automation hacker. You will partner closely with our Revenue Operations team to combine creative outreach with GTM (Go-To-Market) engineering workflows (using tools like Clay, n8n, Zapier, etc.) to deliver personalized, data-backed touchpoints at scale. You'll collaborate closely with Sales, Customer Success, and Solutions Engineering to accelerate our PLG motion, turning a robust sign ups & usage funnel into a predictable revenue engine and setting a new standard for AI-native GTM.
Job Responsibility:
Drive Sales Opportunities: Proactively engage users exhibiting high-potential usage signals (e.g., specific API patterns, advanced feature experimentation, new workspace invites) to guide them toward opportunities for the sales team
Identify & Convert: Execute highly personalized, data-driven outreach sequences to connect with AI practitioners, technical leads, and business decision-makers. Your goal is to understand their platform behaviors and signals in order to generate qualified sales leads
Surface PQLs: Partner with RevOps and Growth to analyze product telemetry and surface Product-Qualified Leads (PQLs) with clear expansion potential (e.g., users building RAG, Agents, semantic search, or recommender systems)
Work on GTM Automation: Collaborate with RevOps to build and maintain scalable sales automation workflows using tools like Clay, n8n, Zapier, Retool, and our own product's query insights to dramatically reduce manual prospecting
Innovate on Engagement: Go beyond standard outbound. Use AI-assisted personalization, shareable technical sandbox links, LinkedIn video DMs, and voice notes to provide tangible value in every interaction
Create Feedback Loops: Work cross-functionally with Product and Marketing to provide direct feedback on inbound quality, user friction points, and emerging persona trends from the front lines
Requirements:
Has 1–2+ years of BDR/SDR experience in a fast-paced, technical startup—ideally in developer tools, data infrastructure, or the AI/ML space
Deeply understands modern PLG + Sales hybrid models and is energized by the challenge of bridging product usage to revenue
Is comfortable and credible when speaking to technical personas (e.g., Founders, ML Engineers, Data Scientists) and can translate complex product value into tangible business outcomes
Possesses a "guide" or "teacher" mindset, genuinely motivated by helping users solve problems and achieve "aha" moments that lead to deeper product adoption
Thrives in ambiguous and fast-changing environments
you have high agency, are proactive, and are guided by data
Is passionate about AI, automation, and GTM innovation. You naturally use tools like ChatGPT, Clay, Gong, and Loom to be more effective
Loves metrics (PQLs, conversion rates, consumption) but doesn’t wait to be told what to do, constantly iterating on playbooks and documenting what works
Nice to have:
Direct experience with vector databases, LLM applications, embeddings, or developer ecosystems
You've built your own prospecting automations or played with tools like Navattic, Salesroom, Regie.ai, or n8n
You have worked in a pod-based or "full-cycle lite" GTM setup where BDRs are responsible for driving adoption and consumption metrics, not just booking meetings
You can show examples of creative, high-value outreach you've designed
What we offer:
Comprehensive health coverage including medical, dental, vision, and mental health resources
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