Manager of Applied AI
Ituka Technologies · New York, NY, US · Full Time · USD 200,000 to 300,000 per year
Overview
The Manager of Applied AI will play a crucial role in the Commercial department, based in New York, NY. This position involves building and managing Forward Deployed Engineer (FDE) teams, mentoring and coaching team members, and driving the pursuit and winning of deals. The ideal candidate will bring a blend of technical expertise and leadership skills to foster an environment where innovation thrives.
Key Responsibilities
The Manager of Applied AI will be responsible for hiring, building, and managing FDE teams. This includes mentoring and coaching team members to enhance their skills and performance. They will actively pursue and secure deals, leveraging their technical knowledge and leadership abilities. The manager will ensure that the team operates effectively in a high-velocity sales environment, where the focus is on optimizing the allocation of technical talent across a diverse range of projects. They will bring builder credibility through hands-on experience in developing and deploying LLM-powered applications, understanding the distinctions between prototypes and production systems. The manager will also provide guidance to architects on design decisions faced by customers, utilizing their familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling. Additionally, they will adopt a systems mindset to create scalable solutions that benefit multiple customers. In this role, the manager will navigate ambiguous, early-stage environments, establishing structure and processes as needed. They will build trust with both technical and business leaders, showcasing strong executive presence and a commitment to making technology safe and beneficial for society.
Required Qualifications
Candidates must have a minimum of 7 years of experience in technical customer-facing roles, such as Solutions Architect, Sales Engineer, or Forward Deployed Engineer, with at least 3 years of experience managing pre-sales or technical go-to-market teams. They should possess the ability to hire effectively, provide constructive feedback, and foster an environment conducive to innovation. Experience leading technical teams in high-velocity sales settings is essential, along with a strong perspective on talent allocation. Candidates must have built and deployed LLM-powered applications and be comfortable engaging with customer engineering leadership. Familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling is required, as is a systems mindset for problem-solving. Candidates should demonstrate comfort in ambiguous environments and a proven track record of establishing structure. Strong executive presence and the ability to build trust with technical and business leaders are essential, as is a genuine passion for the responsible use of technology.
Preferred Qualifications
Preferred qualifications include experience in early-stage technology environments and a demonstrated ability to innovate under uncertainty. Familiarity with industry trends in AI and an understanding of the societal implications of technology will be advantageous.