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Artificial Intelligence(AI) Solutions Consultant - Go-to- Market Lead
Artificial Intelligence(AI) Solutions Consultant - Go-to- Market LeadRedolent • San Francisco, CA, United States
Artificial Intelligence(AI) Solutions Consultant - Go-to- Market Lead

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

Redolent • San Francisco, CA, United States
Hace 3 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

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.

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