Resumo da vaga

Founding Engineer – ML Demand Generation

Requisitos e responsabilidades

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What You'll Do

  • Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
  • Automate demand generation workflows spanning audience segmentation and personalized outreach.
  • Design and maintain production data pipelines for behavioral analytics, targeting, and experimentation.
  • Partner closely with marketing and product teams to translate growth goals into measurable ML solutions.
  • Experiment with LLMs, recommendation systems, and generative AI for content personalization and outreach.
  • Establish data-driven frameworks for channel optimization and ROI tracking.

Must-haves:

  • 3–10 years of experience in ML engineering, data science, or growth analytics.
  • Strong Python proficiency and hands-on experience with PyTorch or TensorFlow and end-to-end ML pipelines.
  • Proven track record building ML models for lead scoring, conversion prediction, or demand generation outcomes.
  • Experience designing production data pipelines for behavioral analytics, audience segmentation, and experimentation.
  • History of collaborating with marketing and product teams to deliver measurable growth outcomes.
  • Experience with data-driven growth systems such as user modeling, scoring, recommendations, or automation.

Nice to have:

  • Familiarity with marketing tech stacks and ad platforms (e.g., HubSpot, Salesforce, Meta/Google Ads APIs).
  • Experimentation with LLMs, recommender systems, or generative AI for content and outreach.

Compensation & Benefits

  • Salary: $220,000 – $300,000 USD annually
  • Early-stage equity opportunity
  • On-site role in Mountain View, CA
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FocoFounding ML EngineerÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackPython, SalesforceSkills principais
Localização1 país aceitoElegibilidade

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