Founding Engineer – ML Demand Generation

ABOUT THE ROLE

A fast-growing Series A AI model training and evaluation startup — headquartered in Mountain View, CA and backed by prominent institutional investors — is hiring a Founding ML Engineer focused on Demand Generation. This is a high-impact founding-team role sitting at the intersection of machine learning and growth strategy. You'll build the intelligent systems that power how the company reaches, converts, and retains customers, turning ML into a direct, measurable growth engine. The company works with leading AI frontier labs and enterprises worldwide, and is scaling rapidly.

WHAT YOU'LL DO

• Build and deploy ML models that optimize lead scoring, conversion prediction, and campaign performance.
• Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach.
• Design robust data pipelines for behavioral analytics, targeting, A/B testing, and experimentation.
• Collaborate closely with marketing and product teams to translate growth goals into measurable ML solutions.
• Experiment with LLMs, recommendation systems, and generative AI techniques for content creation and outreach.
• Establish data-driven frameworks for channel optimization and ROI tracking.

WHAT WE'RE LOOKING FOR

Required

• 3–10 years of hands-on ML engineering experience in demand generation, growth marketing, or related data-driven marketing domains.
• Strong proficiency in Python, with practical experience using PyTorch and/or TensorFlow to build and deploy ML models.
• Proven experience developing ML solutions for lead scoring, conversion prediction, and campaign performance optimization.
• Experience integrating with marketing and CRM platforms such as HubSpot and Salesforce in ML-driven workflows.
• Hands-on experience with advertising APIs (e.g. Google Ads API, Meta Ads API) for model-driven campaign optimization.
• Experience with LLMs, recommender systems, and generative AI techniques for content creation and outreach.
• Ability to design and implement data pipelines for behavioral analytics, audience segmentation, and experimentation.
• Strong cross-functional communication skills — able to translate growth goals into clear ML deliverables.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
• Ability to work on-site in Mountain View, CA.

Nice to Have

• Prior experience at an AI/ML company, data services firm, or growth-focused tech startup.
• Familiarity with performance marketing analytics and ROI measurement frameworks.
• A builder's mindset: comfortable moving fast, experimenting often, and owning measurable outcomes.

COMPENSATION & BENEFITS

• Salary: $220,000 – $300,000 per year, depending on experience.
• Founding-team equity opportunity.
• Visa sponsorship is available for qualified candidates.

LOCATION

This is a full-time, on-site role based in Mountain View, California. The company also operates a delivery office in India. On-site presence at the Mountain View headquarters is required.