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Clera

Founding Engineer - ML Demand Generation

Mountain View$220k–$300kfulltimemidAdded today

About this role

Build ML systems that drive user acquisition and campaign performance at a founding-stage AI/ML company. You'll develop predictive models for lead scoring and conversion, automate demand generation workflows, and directly impact business growth through data-driven engineering.

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 A/B testing
  • Automate demand generation workflows including audience targeting and personalized outreach
  • Integrate ML solutions with marketing platforms (HubSpot, Salesforce) and advertising APIs (Google Ads, Meta)
  • Experiment with LLMs, recommendation systems, and generative AI for content and outreach optimization
  • Establish ROI tracking frameworks and work with marketing teams to translate growth goals into ML solutions

What they're looking for

  • Python programming
  • PyTorch and/or TensorFlow
  • Machine learning model development and deployment
  • Data pipeline engineering
  • Marketing and CRM platform integration (HubSpot, Salesforce)
  • Advertising APIs (Google Ads, Meta Ads)
  • LLMs and generative AI
  • A/B testing and experimentation design

Benefits

  • Competitive base salary: $220,000–$300,000 annually
  • Visa sponsorship available
  • Founding-level role with significant impact and ownership
  • Work at intersection of ML and growth strategy
  • On-site in Mountain View, California
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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 demand generation or marketing ML project you led—what was the business impact and technical approach?
  • How have you integrated ML models with CRM or advertising platforms in production?
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