Director, Sales Engineering

Description

The company makes an enterprise platform that sits above data platforms, cloud infrastructure, and AI services to build, deploy, and govern analytics, machine learning, and AI agents in one environment, across multi-vendor setups.

Large companies use the platform to run AI in their operations and track its business results.

The company is looking for a coach and leader with an upbeat, curious, and empathetic style to manage a growing group of Enterprise Solution Engineers across the US South.

Responsibilities

• Lead a team of trusted advisors who show customers the value of the AI and Agent Management platforms.
• Work with the sales organisation to win new clients and keep existing ones by presenting and delivering AI-driven business strategies.
• Work with product, marketing, sales, customer success, and other internal teams to align on AI-native go-to-market approaches.
• Mentor your team, and hire and keep strong people with a good balance of technical and sales skill.
• Coach sales engineers on the product's evolving value, how it differs from competitors, and how to apply the Challenger Sales methodology.
• Join high-profile customer deals as a player/coach, bringing a strategic view and raising the quality of delivery.
• Act as the technical contact for sales leadership, reporting technical risks and opportunities in sales engagements.
• Hold regular check-ins, give career guidance, and hire and grow the team.
• Build solid working relationships with cross-functional teams so everyone works toward customer outcomes.
• Talk directly with sales leadership about plans for adoption and expansion.
• Run enablement sessions on the latest technology trends.
• Work with Sales Engineering leadership to refine the KPIs for your team.

Requirements

• Have at least five years of sales engineering experience.
• Have at least two years of people management experience, with a clear interest in building and hiring teams.
• Have experience with complex, large-scale enterprise AI and analytics deployments.
• Understand the AI landscape well, including foundation models, LLMOps, Retrieval-Augmented Generation (RAG) architectures, and autonomous AI agents.
• Have experience building and enabling high-performing technical teams in a fast-changing AI market.
• Show real curiosity about how business, traditional machine learning, and Agentic AI technologies connect.
• Other preferred qualifications:
• Proficiency in programming languages such as Python, R, SQL, or Java.
• Experience with cloud AI/ML services such as AWS Bedrock, Azure Foundry, or GCP Vertex AI.
• Understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, and agentic orchestration, as well as the traditional machine learning lifecycle of feature engineering, model training, and model deployment.
• Knowledge of machine learning and agentic frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn.
• Experience driving AI-native go-to-market transformations.
• Strong communication and presentation skills, with the ability to explain complex AI concepts to executives.

Conditions

Final pay is set during the interview process and depends on factors including geographic location, internal equity, education, skill set, experience, and training. Eligible roles may also earn commission or other variable pay under the company's incentive compensation program.

US-only national base pay range: $206,000 - $257,000 USD.

The company reserves the right to change perks and benefits at any time.

The company does not ask candidates for payment at any stage, and does not ask them to buy anything or install third-party apps, other than Zoom for video calls. Report suspected fraud using the company's guidance on identifying fraudulent activity.

Benefits

• Stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacation and sick leave, paid parental leave, employer-paid disability coverage, and other health and wellbeing perks.