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Clera

Founding Engineer - ML Demand Generation

Mountain View$220k–$300kfulltimemidAdded today

About this role

Join a fast-growing AI/ML company as a Founding Engineer to build intelligent systems that drive user acquisition and campaign performance. You'll develop ML models for lead scoring, conversion prediction, and demand generation automation while partnering closely with marketing and product teams to scale the company's reach.

What you'll do

  • Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization
  • Design and maintain data pipelines for behavioral analytics, targeting, and A/B experimentation
  • Automate demand generation workflows including audience segmentation and personalized outreach
  • Integrate marketing platforms (HubSpot, Salesforce) and advertising APIs into ML-driven systems
  • Experiment with LLMs, recommendation systems, and generative AI for content and outreach
  • Establish data-driven frameworks for channel optimization and ROI tracking

What they're looking for

  • Python and ML frameworks (PyTorch, TensorFlow)
  • Lead scoring and conversion prediction modeling
  • Data pipeline design and maintenance
  • Marketing platform integration (HubSpot, Salesforce)
  • Advertising API integration (Google Ads, Meta Ads)
  • Large language models and generative AI
  • Recommender systems
  • A/B testing and experimental design

Benefits

  • Competitive base salary ($220K–$300K annually)
  • Visa sponsorship available
  • Founding-level impact and equity upside
  • Collaboration with frontier AI labs
  • On-site role in Mountain View with growth opportunity
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Can you walk us through a lead scoring or conversion prediction model you've built—what features drove the most impact?
  • Describe your experience integrating CRM or marketing platforms into ML workflows. What challenges did you encounter?
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