Founding ML Engineer – Demand Generation

Clera

Founding ML Engineer for a Series A AI/ML infrastructure company. Building AI-driven systems for user acquisition, lead conversion, and campaign performance optimization.

Posted 7/10/2026full-timeMountain View • California • 🇺🇸 United StatesMid-LevelSenior💰 $220,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying ML models for lead scoring and campaign optimization, with strong proficiency in Python and ML frameworks. Proven ability to design data pipelines and automate demand generation workflows while collaborating cross-functionally to achieve growth objectives.

Highest-signal resume keywords

Machine Learning EngineeringPython ProgrammingData Pipeline DevelopmentDemand Generation AutomationMarketing Technology Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceGrowth AnalyticsLead ScoringCampaign OptimizationBehavioral AnalyticsA/B ExperimentationPythonPyTorchTensorFlow

Soft Skills

Builder's MindsetCollaborationExperimentation

Tools & Technologies

HubSpotSalesforceGoogle Ads APIMeta Ads API

Industry Keywords

Demand GenerationLead ScoringCampaign Performance OptimizationChannel OptimizationROI Tracking

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Early-stage equity as a founding team member