Title : Artificial Intelligence(AI) Solutions Consultant - Go-to- Market Lead
Location : Charlotte,NC or Minneapolis, MN or San Francisco, CA
Dration : 1+ year
Hybrid role !
About this Role
Are you passionate about accelerating AI adoption, enabling engineering teams , and shaping how enterprise users build with emerging AI capabilities? We are seeking a highly technical and
business-savvy Artificial Intelligence Solutions Consultant who blends go-to-market strategy, forward-deployed engineering, and AI enablement.
- In this role, you will serve as the connective tissue between product, engineering, line-of-business stakeholders, and end users-helping teams adopt AI capabilities, integrate agentic workflows, and scale enablement into repeatable, self-service models.
- Ideal candidates bring strong engineering fundamentals, deep customer empathy, and a teacher's mindset-someone who enjoys building solutions, enabling others, and turning
- individual learnings into scalable programs and product improvements. You'll thrive here if you're hands-on, fast-moving, and energized by dynamic environments where you both build and teach, deliver and scale.
Key Responsibilities
Product Go-to-Market
Lead platform releases, feature rollouts, and adoption initiatives in partnership with productand engineering teams.
Architect and execute go-to-market strategies spanning onboarding, training,documentation, and support.
Own the rollout and adoption of new platform features and capabilities across stakeholdergroups.
Track KPIs such as adoption, reliability, latency, and business impact to guide continuousimprovement.
Translate platform updates into clear, actionable guidance for both technical andnon-technical audiences.
Customer Enablement & Training
Lead interactive enablement programs-including live workshops, pair-programmingsessions, office hours, and hands-on technical engagements.
Help teams integrate AI tools and capabilities into day-to-day development practices.Create and maintain enablement materials, SDK resources, best practices, and repeatableplaybooks.
Scale individual training engagements into enterprise-wide digital learning content andself-service models.
Build a deep understanding of customer pain points and workflows to tailor adoptionstrategies and reduce time-to-value.
Product Strategy & Feedback Loop
Establish tight feedback loops between end-users, product, and engineering teams-capturing insights that meaningfully inform roadmap decisions.
Translate customer needs into product direction : define requirements, scope solutions, andinfluence implementation.
Advocate for usability improvements and enhancements grounded in field observations andcustomer experience.
Validate fixes, test new features, and conduct quality checks to proactively surface gaps instability or performance.
Maintain empathy for how developers work and champion features that improve theend-user experience.