Founding Engineer – ML Demand Generation
About the Role
A well-funded Series A AI/ML platform company is looking for a Founding Engineer focused on ML-driven demand generation to join their on-site team in Mountain View, CA. This is a high-impact, early-stage role where you will blend data science, machine learning, and growth strategy to build intelligent systems that power lead generation, personalization, and performance marketing — directly shaping acquisition, conversion, and retention outcomes.
What You'll Do
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Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
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Automate demand generation workflows spanning audience segmentation and personalized outreach.
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Design and maintain production data pipelines for behavioral analytics, targeting, and experimentation.
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Partner closely with marketing and product teams to translate growth goals into measurable ML solutions.
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Experiment with LLMs, recommendation systems, and generative AI for content personalization and outreach.
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Establish data-driven frameworks for channel optimization and ROI tracking.
What We're Looking For
Must-haves:
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3–10 years of experience in ML engineering, data science, or growth analytics.
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Strong Python proficiency and hands-on experience with PyTorch or TensorFlow and end-to-end ML pipelines.
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Proven track record building ML models for lead scoring, conversion prediction, or demand generation outcomes.
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Experience designing production data pipelines for behavioral analytics, audience segmentation, and experimentation.
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History of collaborating with marketing and product teams to deliver measurable growth outcomes.
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Experience with data-driven growth systems such as user modeling, scoring, recommendations, or automation.
Nice to have:
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Familiarity with marketing tech stacks and ad platforms (e.g., HubSpot, Salesforce, Meta/Google Ads APIs).
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Experimentation with LLMs, recommender systems, or generative AI for content and outreach.
The right mindset: You move fast, iterate quickly, own measurable impact, and are genuinely curious about how AI techniques can drive real business outcomes.
Compensation & Benefits
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Salary: $220,000 – $300,000 USD annually
- Early-stage equity opportunity
- On-site role in Mountain View, CA
Visa sponsorship is not available for this role.
Location
This is a fully on-site position based in Mountain View, California . Candidates must be available to work on-site; remote or visa-requiring applicants will not be considered.
Originally posted on Himalayas