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Vice President Customer Engineering

Work from Home, Mexico💼 Full-time🗓 2026-08-03 → 2026-09-26

Core

Executive leader driving enterprise market expansion and ARR growth by co-selling AI solutions to Fortune 500 customers while scaling an internal AI engineering organization.

Role type

VP Customer Engineering (Hybrid Executive/Technical Leader)

Builds

Production-grade AI solutions, secure software platforms, and enterprise data pipelines for Fortune 500 clients.

Domain

Financial analytics, Big Data, Artificial Intelligence, Enterprise Software

Deliverable

production ML models | product features | client delivery

Required skills

LLM orchestration (LangChain, LlamaIndex, Semantic Kernel), Vector databases (Milvus, Qdrant, Pinecone, pgvector), MLOps (Weights & Biases, MLflow, Kubeflow, Triton), Data pipelines (Databricks, Snowflake, Apache Spark), Cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform), High-performance backend (Go, Rust), Production AI logic (Python), TypeScript/Node.js

Preferred skills

Executive presence, Deal strategy, Public speaking, Regulatory compliance (SOC 2, HIPAA, GDPR, FedRAMP, EU AI Act)

Technologies

LangChain, LlamaIndex, Semantic Kernel, Milvus, Qdrant, Pinecone, pgvector, Weights & Biases, MLflow, Kubeflow, Triton Inference Server, Hugging Face, Databricks, Snowflake, Apache Spark, AWS, GCP, Azure, Kubernetes, Terraform

Responsibilities

Partner with Sales Leadership to act as primary executive technical resource for enterprise customers; Co-create and formalize production-grade AI architectures for multi-cloud deployments; Serve as a key opinion leader by speaking at conferences and engaging with industry analysts; Capture market demands and translate them into prioritized product roadmap requirements; Recruit, mentor, and retain top-tier talent across full-stack, AI infrastructure, and MLOps disciplines; Implement agile processes and software delivery metrics to ensure on-time shipping of enterprise features and AI models; Oversee core codebase, cloud infrastructure topologies, and GPU/compute budgets to maintain high gross margin efficiency.

Seniority

Executive (VP level), hands-on IC with leadership responsibilities

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