Artificial Intelligence(AI) Solutions Consultant – Go-to- Market Lead
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Title: Artificial Intelligence(AI) Solutions Consultant Go-to- Market Lead
Location: CharlotteNC or Minneapolis MN or San Francisco CA
Dration: 1 year
Location: CharlotteNC 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.
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.
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.
Key Skills
- Business Intelligence
- Computer Science
- Business Process
- Business Partners
- SQL
- Dashboard
- Business Analysis
- Tableau
- Data Management
- ETL
- Project Management
- Business Units
- Data Warehouse
- Data Analysis
- Analytics
