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Clera

Founding Engineer - ML Demand Generation

Mountain View$220k–$300kfulltimemidAdded today

About this role

Founding ML engineer role focused on building intelligent systems that drive user acquisition and revenue through predictive modeling, data pipelines, and ML-powered demand generation workflows. You'll work at the intersection of machine learning and growth, partnering with marketing and product teams to translate business goals into measurable outcomes.

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, audience segmentation, and experimentation
  • Automate demand generation workflows including personalized outreach and targeting
  • Integrate with marketing platforms (HubSpot, Salesforce) and advertising APIs (Google Ads, Meta Ads) for model-driven optimization
  • Experiment with LLMs, recommendation systems, and generative AI for content and outreach applications
  • Establish data-driven frameworks for channel optimization and ROI tracking

What they're looking for

  • Machine learning engineering and model deployment
  • Python with PyTorch and/or TensorFlow
  • Lead scoring and conversion prediction models
  • Data pipeline design and ETL
  • Marketing platform integration (HubSpot, Salesforce)
  • Advertising API integration (Google Ads, Meta Ads)
  • LLMs and generative AI techniques
  • A/B testing and experimentation design

Benefits

  • Founding-level role with significant impact on company direction
  • Visa sponsorship available
  • Base salary $220,000–$300,000 annually
  • On-site in Mountain View with modern ML infrastructure
  • Cross-functional collaboration with marketing and product teams
  • Opportunity to work with cutting-edge AI/ML technologies
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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

  • Walk us through a lead scoring or conversion prediction model you built—what features mattered most and how did you measure impact?
  • How have you integrated ML models into marketing platforms like Salesforce or HubSpot in a production setting?
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