Founding Engineer – ML Demand Generation

Jobtailor; Mountain View (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor in Mountain View, CA is seeking an ML Engineer focused on growth analytics to develop lead scoring and conversion models. You’ll build end-to-end pipelines, automate demand-gen workflows, and collaborate with marketing and product teams to align ML solutions with growth goals.

You will experiment with LLMs and recommendation systems to enhance content personalization and outreach, while establishing frameworks to optimize channels and ROI.

Qualifications

• 3–10 years of experience in ML engineering, data science, or growth analytics.
• Strong Python proficiency with PyTorch or TensorFlow and end‑to‑end ML pipelines.
• Proven track record building ML models for lead scoring, conversion prediction, or demand generation outcomes.
• Experience designing production data pipelines for behavioral analytics, audience segmentation, and experimentation.
• History of collaborating with marketing and product teams to deliver measurable growth outcomes.
• Experience with data‑driven growth systems such as user modeling, scoring, recommendations, or automation.
• Familiarity with marketing tech stacks and ad platforms (e.g., HubSpot, Salesforce, Meta/Google Ads APIs).

Responsibilities

• Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
• Automate demand generation workflows spanning audience segmentation and personalized outreach.
• Design and maintain production data pipelines for behavioral analytics, targeting, and experimentation.
• Partner closely with marketing and product teams to translate growth goals into measurable ML solutions.
• Experiment with LLMs, recommendation systems, and generative AI for content personalization and outreach.
• Establish data-driven frameworks for channel optimization and ROI tracking.

Skills

Python

PyTorch

TensorFlow

Lead Scoring

Conversion Prediction

Demand Generation

Behavioral Analytics

Audience Segmentation

Data-Driven Growth

Collaboration

Marketing Tech Stacks

Tools

HubSpot

Salesforce

Meta Ads API

Google Ads API

Job description

• Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
• Automate demand generation workflows spanning audience segmentation and personalized outreach.
• Design and maintain production data pipelines for behavioral analytics, targeting, and experimentation.
• Partner closely with marketing and product teams to translate growth goals into measurable ML solutions.
• Experiment with LLMs, recommendation systems, and generative AI for content personalization and outreach.
• Establish data-driven frameworks for channel optimization and ROI tracking.

Requirements

• 3–10 years of experience in ML engineering, data science, or growth analytics.
• Strong Python proficiency and hands‑on experience with PyTorch or TensorFlow and end‑to‑end ML pipelines.
• Proven track record building ML models for lead scoring, conversion prediction, or demand generation outcomes.
• Experience designing production data pipelines for behavioral analytics, audience segmentation, and experimentation.
• History of collaborating with marketing and product teams to deliver measurable growth outcomes.
• Experience with data‑driven growth systems such as user modeling, scoring, recommendations, or automation.
• Familiarity with marketing tech stacks and ad platforms (e.g., HubSpot, Salesforce, Meta/Google Ads APIs).

Core Competencies

Demonstrates expertise in building and deploying machine learning models for lead scoring and conversion prediction, alongside designing production data pipelines for behavioral analytics. Proven ability to collaborate with marketing and product teams to drive measurable growth outcomes through data‑driven frameworks.

Hard Skills

• Machine Learning Models
• Lead Scoring
• Conversion Prediction
• Demand Generation
• Behavioral Analytics
• Audience Segmentation
• Data-Driven Growth Systems
• User Modeling
• Scoring
• Recommendations

Soft Skills

• Collaboration
• Communication

Tools & Technologies

• HubSpot
• Salesforce
• Meta Ads API
• Google Ads API