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