Position: AI Solutions Customer Success Manager
Location: Remote (global) | Schedule: Flexible | Environment: High-growth, innovation-focused
1. Role Summary
The AI Solutions Customer Success Manager serves as the primary advisor to enterprise customers adopting AI-driven content programs. This individual guides clients from initial workflow design through full deployment, ensuring measurable impact on traffic, engagement, and revenue.
2. Primary Responsibilities
Client Alignment
Partner with growth marketers, content leads, and senior executives to tie AI initiatives to business goals.
Build and maintain multi-level relationships that support long-term expansion.
Project Delivery
Own implementation timelines and proactively resolve roadblocks.
Coordinate cross-functional resources to ensure on-schedule launches.
Workflow Design & Optimization
Collaborate with technical teams to architect high-throughput AI content workflows.
Balance quality, speed, and scalability while minimizing rework.
Performance Management
Track KPIs such as organic traffic, click-through rate, and revenue contribution.
Recommend data-driven adjustments to maximize ROI.
Enablement & Training
Develop and deliver training that removes technical barriers for client teams.
Produce reference materials and office-hour sessions to reinforce adoption.
Best-Practice Development
Codify successful engagements into reusable playbooks and checklists.
Share insights internally to accelerate future deployments.
Product Feedback Loop
Capture customer observations and translate them into actionable feature requests.
Liaise with Product and Engineering to influence roadmap priorities.
3. Qualifications
Experience: Minimum 5 years leading software implementations focused on onboarding, adoption, and expansion; at least 3 years working with enterprise-level stakeholders.
Domain Expertise: Demonstrated success driving SaaS or AI solution uptake and measurable business outcomes.
Communication: Native-level or equivalent English; able to convey complex technical concepts to non-technical audiences.
Analytical Ability: Proficiency in data-oriented decision making; working knowledge of SQL, Python, or similar tools is advantageous.
Work Style: Self-directed, adaptable, and effective in fast-moving environments.
4. Team Values
Integrity & Humility — Operate ethically, foster trust, and keep egos in check.
Passion for Growth — Commit to continuous learning and skill development.
Bias for Action — Prioritize timely execution and tangible results.
Innovation via Iteration — Embrace experimentation and rapid improvement.
5. Benefits
Fully remote employment with flexible working hours.
Opportunity to shape best practices in a collaborative, high-growth organization focused on AI innovation.