Judi Health
Tech / AI / Software
AISuccessManager
“AI Success Manager at Judi Health. Skills: AI Technical Proficiency, Relationship Management, Strategic Thinking, Change Leadership, Data Analysis. Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions. Act as a strategic partner to department leaders within the company and external clients as needed, mapping AI capabilities to business goals, identifying new use cases, and driving expansion”
What You'll Achieve.
Drive client value, adoption, and retention for AI products; Ensure safe, ethical, and high-ROI deployment of AI solutions; Accelerate time-to-value; Monitor performance KPIs; Increase efficiency and reduce friction within the company as well as for our customers
Industry & Context.
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field, Minimum 6 years (4 years with Masters degree) of experience in industry with a focus on ML solutions development and production deployment, At least 2 years of experience in Engineering Management with teams of 4 or more engineers, Proficiency in Python, Familiarity with cloud platforms such as AWS or Azure, Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemini etc., Experience developing and fine-tuning prompts on any of the GenAI services, Passion for customer, innovation, product quality, service excellence, and test engineering, The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment, Good written and communication skills that enable collaboration in a remote environment
Nice to Have
Masters degree (reduces minimum experience requirement to 4 years)
What You'll Do.
Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions
Act as a strategic partner to department leaders within the company and external clients as needed
mapping AI capabilities to business goals
identifying new use cases
and driving expansion
Lead the end-to-end onboarding process
to ensure successful deployment
Track and analyze key AI usage metrics
such as model performance
to inform optimization strategies
Guide clients through the organizational changes required for AI adoption
focusing on training and cultural alignment
Act as a liaison between the clients/departments and the AI product/engineering teams to resolve technical issues and advocate for product enhancements
Proactively identify potential bottlenecks
or security risks in AI deployment
Manage and lead team of small team Machine Learning Engineers
Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance
How You'll Work.
Team & Collaboration
Manage a cross-functional technical team; Act as a liaison between the clients/departments and the AI product/engineering teams; Ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment; Good written and communication skills that enable collaboration in a remote environment
Communication Scope
Good written and communication skills that enable collaboration in a remote environment
Process & Methodology
Implementation Management, Manage and lead team of small team Machine Learning Engineers
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