About the Role
A Series A AI/ML infrastructure company focused on model training and evaluation is looking for a Founding ML Engineer – Demand Generation to join their on-site team in Mountain View, CA. This is a rare opportunity to sit at the intersection of machine learning and growth, building AI-driven systems that directly power user acquisition, lead conversion, and campaign performance. You'll work closely with marketing and product teams to turn growth goals into intelligent, measurable systems.
What You'll Do
Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
Automate demand generation workflows — from audience segmentation to personalized outreach at scale.
Design and maintain data pipelines for behavioral analytics, targeting, and A/B experimentation.
Collaborate cross-functionally with marketing and product to translate growth objectives into ML solutions.
Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach automation.
Establish data-driven frameworks for channel optimization and ROI tracking.
What We're Looking For
3–10 years of hands-on ML engineering, data science, or growth analytics experience.
Direct exposure to demand generation, lead scoring, or campaign optimization in a production environment.
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
Proven experience building and deploying data pipelines for behavioral analytics, segmentation, and experimentation.
Hands-on experience with marketing technology and APIs: HubSpot, Salesforce, Google Ads API, Meta Ads API.
Experience experimenting with LLMs, recommendation systems, or generative AI for content and outreach.
A builder's mindset — you move fast, experiment often, and own measurable outcomes.
Must be authorized to work in the United States without employer sponsorship.
Compensation & Benefits
Salary: $220,000 – $300,000 USD annually, depending on experience.
Early-stage equity as a founding team member.
Location
This role is on-site in Mountain View, CA. Remote work is not available for this position.
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