WHO WE ARE? At AI Squared, our vision is to foster widespread AI adoption by embedding AI insights directly into mission-critical business applications and everyday workflows.  By leveraging AI Squared’s platform, organizations can access and integrate any data or machine-learning insight directly into their web-based business applications – leading to data-driven decisions and ML-powered innovation.

Job Summary:

The Director of Field Engineering will play a critical role in ensuring customer satisfaction, managing technical projects, and providing leadership and guidance to our field engineering team in order to drive the successful deployment and implementation of our AI/Machine Learning solutions for our clients

Duties & Responsibilities:

  • Lead and manage the field engineering team, including field engineers, solution architects, and technical consultants, to deliver exceptional technical support, services, and solutions to our clients.
  • Collaborate closely with sales, product management, and customer success teams to understand client requirements, scope technical projects, and develop customized solutions that meet customer needs and objectives.
  • Provide technical expertise and guidance throughout the sales process, including pre-sales support, solution design, and customer presentations, to showcase the value and capabilities of our AI/Machine Learning solutions.
  • Oversee the planning, execution, and delivery of technical projects, ensuring successful implementation, on-time delivery, and high-quality outcomes that exceed customer expectations.
  • Develop and maintain strong relationships with key stakeholders, including C-level executives, IT leaders, and technical teams, to build trust, address technical challenges, and drive customer satisfaction and loyalty.
  • Collaborate with product development teams to provide feedback on product enhancements, features, and functionality based on customer feedback and market trends.
  • Stay current with industry trends, emerging technologies, and best practices in AI/Machine Learning to drive continuous learning, innovation, and improvement within the field engineering team.
  • Develop and implement processes, standards, and best practices for field engineering operations, including project management methodologies, technical documentation, and knowledge sharing.
  • Track and analyze key performance metrics, project milestones, and customer feedback to assess performance, identify areas for improvement, and drive operational excellence within the field engineering team.
  • Represent the company at industry events, conferences, and customer meetings to showcase our technical expertise, thought leadership, and success stories.
  • Other duties as assigned.

 

Required Skills & Abilities:         

  • Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts effectively to both technical and non-technical audiences, build relationships, and influence decision-makers.
  • Strong project management skills, with the ability to plan, prioritize, and manage multiple projects simultaneously, ensuring successful delivery and customer satisfaction.
  • Customer-centric mindset with a focus on delivering value, driving customer success, and building long-term relationships with clients.
  • Analytical mindset with the ability to analyze data, identify trends, and make data-driven decisions to improve processes, performance, and outcomes.
  • Strategic thinker with strong business acumen, problem-solving skills, and the ability to align technical solutions with business objectives and customer needs.
  • Passion for technology, innovation, and driving digital transformation, with a desire to make a meaningful impact and drive success for our clients.

 

Education & Experience:

  • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree or certifications (e.g., PMP, ITIL, AWS, Azure) is a plus.
  • Proven experience (10 years) in technical leadership roles, with a focus on field engineering, professional services, or technical consulting in the technology industry.
  • Strong technical background in AI/Machine Learning, cloud computing, data analytics, and enterprise software solutions, with a deep understanding of software development methodologies, architecture, and deployment strategies.
  • Experience managing and leading technical teams, including hiring, coaching, mentoring, and performance management, to drive team success and achieve business objectives.

 

Physical Requirements:

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 25 pounds at times.

 

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