Sr Director IT Engineering, GTM AI Applications

Office - USA - CA - Headquarters💼 Full-time💰 $264,300–$264,300🗓 2026-08-28 → 2026-09-26

Core

Principal technical leader integrating AI/ML capabilities into the Go-to-Market (GTM) technology ecosystem, focusing on the Opportunity-to-Quote lifecycle to drive business growth and efficiency.

Role type

Sr Director, hands-on IC with strategic leadership

Builds

Scalable, reliable AI solutions for GTM applications (Sales, CPQ) including agentic workflows, RAG pipelines, and predictive analytics engines

Domain

Cybersecurity / Enterprise SaaS / Generative AI

Deliverable

production ML models | product features

Required skills

Agentic AI & Generative Workflows (LangChain, LlamaIndex, AutoGPT, CrewAI), RAG architecture (Pinecone, Milvus, Weaviate, Qdrant), LLM Engineering & Fine-Tuning (Llama 3, Mistral, GPT-4, Claude, Gemini), Predictive Analytics & Machine Learning (Collaborative Filtering, Graph Neural Networks, lead scoring, churn prediction), CPQ & Revenue Ecosystem Architecture (Salesforce, SAP Commerce, Adobe Commerce, Commercetools, Zuora), MLOps & LLMOps (MLflow, Kubeflow, Databricks, AWS SageMaker, Vertex AI), API-first & Microservices Architecture (REST, GraphQL, gRPC)

Preferred skills

Master's Degree or PhD in Engineering or STEM, 15+ years in Product Application Engineering, expertise in enterprise AI productivity tools, modernization mindset for governance

Technologies

LangChain, LlamaIndex, AutoGPT, CrewAI, Pinecone, Milvus, Weaviate, Qdrant, Llama 3, Mistral, OpenAI GPT-4, Anthropic Claude, Google Gemini, Salesforce, SAP Commerce Cloud, Adobe Commerce, Magento, Commercetools, Zuora, MLflow, Kubeflow, Databricks, AWS SageMaker, Vertex AI

Responsibilities

Define multi-year technology strategy and architecture roadmap for AI integration; Architect and establish company standards for advanced AI customer solutions via proof-of-concepts; Lead Go-to-Market Engineering to scale pipeline generation and seller productivity; Lead and develop a global, multi-disciplinary team of AI Solutions, full-stack, and SaaS developers; Drive significant business impact by leading large-scale, multi-organizational, or global initiatives; Drive AI ops culture for continuous evolution of GTM applications; Monitor, analyze, and optimize the performance, cost-efficiency, and operational health of deployed AI models and solutions

Seniority