About this role

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.

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.

Founding ML Engineer – Demand Generation

Key skills