SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Turing is an AI company that works with frontier AI labs to generate high-quality datasets and reinforcement learning environments, and deploys end-to-end agentic AI systems for Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and consumer packaged goods.
As Enterprise AI Account Director for a consumer packaged goods company, you will own an established custom engineering relationship both commercially and operationally. This is a high-ownership role combining commercial instinct, enterprise credibility, and delivery leadership.
Key Responsibilities:
- Expand the client relationship by building connections across multiple buying centers and identifying new sponsors and decision-makers
- Assess the client's operations, supply chain, and commercial workflows to identify two to three quantified opportunities where AI deployment can create measurable value
- Translate identified opportunities into clear scopes of work and lead expansion from discovery through client alignment and signed SOWs
- Maintain single-point accountability for the client relationship and business outcome; oversee the embedded delivery team through a senior Forward-Deployed Engineer or delivery lead
- Own SOWs, pricing, margin, and delivery quality; establish a written scope baseline and weekly issue log to maintain alignment
- Harvest at least one reusable component from the engagement for Turing's Enterprise AI platform
This role requires both commercial ownership (identifying opportunities, selling follow-on work, owning commercial terms) and delivery leadership. You will be expected to work on-site with the client regularly.
Requirements:
- 8+ years of experience in enterprise technology delivery or consulting, with a track record of owning a named client relationship
- Consumer packaged goods industry experience highly desirable, particularly with clients or operations in the Dallas area
- Commercial expansion experience: track record of expanding enterprise accounts across multiple buying centers and selling follow-on work, not only delivering initially defined projects; comfort owning SOWs, pricing, margin, and account growth
- End-to-end delivery leadership experience: overseeing delivery teams and maintaining single-point accountability for client relationship, business outcome, and delivery quality
- Recent AI or data deployment experience within the last two years
- Ability to build trust with senior stakeholders, open conversations with new sponsors, navigate ambiguity, and communicate clearly across commercial, operational, and technical teams
- Candidates whose experience is limited to delivery or project management without commercial ownership, or who lack recent AI or data deployment experience, will not be a fit
