Artificial Intelligence(AI) Solutions Consultant - Go-to- Market Lead

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 product and 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 stakeholder groups.
• Track KPIs such as adoption, reliability, latency, and business impact to guide continuous improvement.
• Translate platform updates into clear, actionable guidance for both technical and non-technical audiences.

Customer Enablement & Training

• Lead interactive enablement programs-including live workshops, pair-programming sessions, 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 repeatable playbooks.
• Scale individual training engagements into enterprise-wide digital learning content and self-service models.
• Build a deep understanding of customer pain points and workflows to tailor adoption strategies 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, and influence implementation.
• Advocate for usability improvements and enhancements grounded in field observations and customer experience.
• Validate fixes, test new features, and conduct quality checks to proactively surface gaps in stability or performance.
• Maintain empathy for how developers work and champion features that improve the end-user experience.