Director, Sales Engineering (AI)

Location: Remote, United States; US West coverage

US national base pay: $187,000–$234,000 USD annually, with potential commission or other variable compensation.

Company

hirify.global provides an enterprise AI platform for designing, deploying, and governing analytics, machine learning, and AI agents across multi-vendor environments.

What you will do

• Lead a growing team of Enterprise Solution Engineers responsible for demonstrating the value of AI and Agent Management platforms.
• Partner with sales to win new customers, retain existing clients, and deliver AI-enabled business strategies.
• Collaborate with product, marketing, sales, customer success, and other stakeholders on AI-native go-to-market motions.
• Coach, mentor, hire, and retain sales engineering talent while balancing technical and sales expertise.
• Engage as a player/coach in high-profile customer opportunities and provide strategic technical guidance.
• Communicate technical risks and opportunities, support adoption and expansion strategy, lead enablement sessions, and refine team performance indicators.

Requirements

• At least five years of sales engineering experience and at least two years of people management experience, including building and hiring teams.
• Experience with complex, large-scale enterprise AI and analytics deployments.
• Deep understanding of the AI landscape, including foundation models, LLMOps, Retrieval-Augmented Generation architectures, and autonomous AI agents.
• Experience building and enabling high-performing technical teams in a rapidly evolving AI market.
• Demonstrated intellectual curiosity about the intersection of business, traditional machine learning, and agentic AI technologies.

Nice to have

• Proficiency in programming languages such as Python, R, SQL, or Java.
• Experience with cloud services and AI/ML services including AWS Bedrock, Azure Foundry, or GCP Vertex AI.
• Understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, agentic orchestration, feature engineering, model training, and model deployment.
• Knowledge of frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn.
• Experience driving AI-native go-to-market transformations.
• Excellent communication and presentation skills, including the ability to explain complex AI concepts to executive audiences.

Culture & Benefits

• Medical, dental, and vision plans, flexible spending accounts, and pre-tax commuter benefits.
• 401(k) company match, paid vacation and sick leave, paid parental leave, and employer-paid disability coverage.
• Stock options and additional health and wellbeing benefits.
• Equal opportunity employment practices focused on dignity, fairness, inclusion, and accommodation support.