Founding Engineer - ML Demand Generation

Department: Engineering

Location: Mountain View

Employment Type: FullTime

About the Role

This is a founding-level ML engineering role at the intersection of data science and growth strategy, sitting at the core of a fast-moving AI/ML data and services company. You'll build intelligent systems that drive user acquisition, lead conversion, and campaign performance — turning machine learning directly into measurable business impact.

What You'll Do

• Build ML models to optimize lead scoring, conversion prediction, and campaign performance.

• Automate demand generation workflows, from audience segmentation to personalized outreach.

• Design data pipelines for behavioral analytics, targeting, and experimentation.

• Collaborate with marketing and product teams to translate growth goals into measurable ML solutions.

• Experiment with LLMs, recommendation systems, and generative AI for content and outreach.

• Establish data-driven frameworks for channel optimization and ROI tracking.

What We're Looking For

• 3–10 years of hands-on ML engineering experience in demand generation, growth marketing, or data-driven marketing domains.

• Strong Python proficiency with practical experience using PyTorch and/or TensorFlow for building and deploying models.

• Experience integrating with marketing and CRM platforms (e.g. HubSpot, Salesforce) in ML-driven workflows.

• Familiarity with advertising APIs (e.g. Google Ads API, Meta Ads API) for model-driven campaign optimization.

• Proven ability to build data pipelines for A/B testing, audience segmentation, and behavioral analytics.

• Track record developing solutions for lead scoring, conversion prediction, and performance optimization.

• Experience with LLMs, recommender systems, and generative AI techniques.

• Strong cross-functional communication skills; comfortable translating growth goals into engineering deliverables.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.

Compensation & Benefits

Base salary range: $220,000 – $300,000 USD annually. Visa sponsorship is available for this role.

Location

This is a fully on-site role based in Mountain View, California, US.