Technical Product Owner - AI Customer Success

Overview

On Site
$70 - $75
Contract - Independent
Contract - 12 Month(s)

Skills

5+ years of experience in AI/ML

Job Details

Job Description

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

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.

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.