Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
AI/ML platforms
APIs
cloud infrastructure (AWS
Azure
GCP)
GenAI
Job Details
Title: AI/ML Product Owner-Local candidates only. Location: San Francisco, CA (Day 1 Onsite) Only W2 Contracts Need only Local candidates
About this role:
Are you passionate about driving the adoption of cutting-edge AI platforms and delivering exceptional user experience? Join an Enterprise AI Platform Delivery team and help shape the future of AI-powered solutions. As a Technical Product Owner AI Customer Success, you will operate at the intersection of engineering, product, and customer success to ensure scalable adoption of AI capabilities.
This role is ideal for someone who thrives in dynamic, hands-on environments and brings deep technical acumen in ML, Generative, and Agentic AI. You ll act as a forward deployment engineer rapidly diagnosing issues, implementing fixes, and guiding customers through implementation and relaying feedback to the product teams.
Key Responsibilities In this role, you will: Platform Rollout & Integration
Lead platform releases and feature rollouts with product and engineering teams.
Architect and execute go-to-market strategies that span onboarding, training, support, and feedback loops.
Customer Enablement & Technical Onboarding
Create and maintain platform documentation, SDK, guides, and self-service resources.
Conduct deep-dive workshops, technical office hours, and onboarding sessions tailored to customer use cases.
Translate platform updates and changes into actionable guidance for users.
Monitor telemetry and usage metrics to identify friction points and drive adoption strategies.
Support & Troubleshooting
Triage issue tickets, provide initial resolutions, and serve as an escalation point for complex technical challenges.
Collaborate with engineering to escalate platform issues and deploy fixes.
Maintain a living knowledge base of recurring issues, root causes, and resolution patterns.
Product Strategy & Feedback Loop
Capture customer feedback and technical insights to inform product roadmap decisions.
Advocate for usability improvements, enhancements, and upgrades based on field experience.
Partner with engineering to validate fixes, test new features, and ensure platform stability.
Governance, Security & Compliance
Ensure customer adherence to best practices for AI governance, data security, and responsible AI usage.
Support compliance requirements such as access controls, and ethical AI considerations, escalating risks proactively.
Required Qualifications
5+ years of experience in AI/ML, technology product development, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications: Education:
Bachelor s degree or higher in computer science, engineering, data science, or a related field.
Technical Expertise:
2+ years of hands-on experience with AI/ML platforms, APIs, and cloud infrastructure (AWS, Azure, Google Cloud Platform), developing Generative and Agentic AI solutions.
Proficiency with GenAI tools and frameworks (e.g., OpenAI, Hugging Face, LangChain, SDKs, vector databases, prompt engineering).
Experience in AI product management or technical product ownership roles.
Understanding of AI governance, security, and compliance best practices.
Customer Success & Communication:
Strong ability to communicate technical concepts clearly to diverse audiences, including non-technical stakeholders.
Experience in customer success, technical enablement, or product support roles.
Skilled in leading technical onboarding, training sessions, and solution walkthroughs.
Project & Product Management:
Proven ability to work independently and manage multiple priorities in a fast-paced environment.
Experience collaborating cross-functionally with engineering, product, and customer teams.
Familiarity with tools such as Jira, Confluence, and ServiceNow
About this role:
Are you passionate about driving the adoption of cutting-edge AI platforms and delivering exceptional user experience? Join an Enterprise AI Platform Delivery team and help shape the future of AI-powered solutions. As a Technical Product Owner AI Customer Success, you will operate at the intersection of engineering, product, and customer success to ensure scalable adoption of AI capabilities.
This role is ideal for someone who thrives in dynamic, hands-on environments and brings deep technical acumen in ML, Generative, and Agentic AI. You ll act as a forward deployment engineer rapidly diagnosing issues, implementing fixes, and guiding customers through implementation and relaying feedback to the product teams.
Key Responsibilities In this role, you will: Platform Rollout & Integration
Lead platform releases and feature rollouts with product and engineering teams.
Architect and execute go-to-market strategies that span onboarding, training, support, and feedback loops.
Customer Enablement & Technical Onboarding
Create and maintain platform documentation, SDK, guides, and self-service resources.
Conduct deep-dive workshops, technical office hours, and onboarding sessions tailored to customer use cases.
Translate platform updates and changes into actionable guidance for users.
Monitor telemetry and usage metrics to identify friction points and drive adoption strategies.
Support & Troubleshooting
Triage issue tickets, provide initial resolutions, and serve as an escalation point for complex technical challenges.
Collaborate with engineering to escalate platform issues and deploy fixes.
Maintain a living knowledge base of recurring issues, root causes, and resolution patterns.
Product Strategy & Feedback Loop
Capture customer feedback and technical insights to inform product roadmap decisions.
Advocate for usability improvements, enhancements, and upgrades based on field experience.
Partner with engineering to validate fixes, test new features, and ensure platform stability.
Governance, Security & Compliance
Ensure customer adherence to best practices for AI governance, data security, and responsible AI usage.
Support compliance requirements such as access controls, and ethical AI considerations, escalating risks proactively.
Required Qualifications
5+ years of experience in AI/ML, technology product development, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications: Education:
Bachelor s degree or higher in computer science, engineering, data science, or a related field.
Technical Expertise:
2+ years of hands-on experience with AI/ML platforms, APIs, and cloud infrastructure (AWS, Azure, Google Cloud Platform), developing Generative and Agentic AI solutions.
Proficiency with GenAI tools and frameworks (e.g., OpenAI, Hugging Face, LangChain, SDKs, vector databases, prompt engineering).
Experience in AI product management or technical product ownership roles.
Understanding of AI governance, security, and compliance best practices.
Customer Success & Communication:
Strong ability to communicate technical concepts clearly to diverse audiences, including non-technical stakeholders.
Experience in customer success, technical enablement, or product support roles.
Skilled in leading technical onboarding, training sessions, and solution walkthroughs.
Project & Product Management:
Proven ability to work independently and manage multiple priorities in a fast-paced environment.
Experience collaborating cross-functionally with engineering, product, and customer teams.
Familiarity with tools such as Jira, Confluence, and ServiceNow
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.