Job Description

Out of the Blue is building agentic AI to help eCommerce brands scale smarter and protect revenue. Our platform proactively detects and acts on what breaks growth—misfiring pixels, broken tracking, underperforming funnels.

We combine GenAI, classic ML, and optimization to surface insights, recommend fixes, and deploy autonomous agents that take action across the stack.

We’re a post-product, post-revenue startup backed by SF-based investors, with a team from Google, PayPal, eBay, and alumni of Stanford, Berkeley, and Booth

The Role

As an AI Product Engineer, you’ll help design, build, and ship intelligent systems that drive business-critical insights and decisions for high-growth DTC brands and agencies.

You’ll work across the full lifecycle—from data pipelines and modeling to LLM integrations and agent deployments. This role blends engineering, applied ML, and product thinking to deliver real-time, high-leverage outcomes

You’ll collaborate closely with founders, PMs, and GTM teams to prioritize what matters, move fast, and learn from real users.

Your Impact

• Design and deploy AI agents that diagnose funnel issues, trigger actions, and improve outcomes
  

• Build and optimize ML models for forecasting, anomaly detection, root-cause analysis and causal inference
  

• Integrate LLMs, prompt workflows, and semantic search into customer-facing features
  

• Own ML workflows end-to-end: data prep, training, evaluation, deployment, and monitoring

• Translate messy data and ambiguity into clean, scalable intelligence

What You Bring

• 3–6 years of experience in ML or applied AI, preferably in product or startup environments
  

• Strong in Python and building production-grade ML systems
  

• Deep understanding of statistical modeling, A/B testing, and impact measurement
  

• Familiarity with GenAI, vector databases, and building agentic applications

• Ability to move independently and align quickly—bias toward speed, iteration, and clarity

Nice to Have

• Experience with PyTorch, TensorFlow, or MLOps tools (Vertex, SageMaker, etc.)
  
  

• Exposure to marketing optimization, attribution, or funnel analytics

• Knowledge of Bayesian methods, RL, or bandit algorithms