AI Growth Strategist

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Company Overview

A leading technology company develops an AI-first hybrid observability platform designed to provide visibility and actionable intelligence across on-premises, cloud, and edge environments. Its platform helps IT and business leaders anticipate infrastructure issues, optimize resources, accelerate decision-making, and improve digital experiences.

The organization promotes a culture centered on trust, customer obsession, agility, continuous improvement, performance, and recognition. Its teams collaborate through designated Centers of Energy where employees connect, innovate, and work together.

The organization is seeking an AI Growth Strategist to help strategic enterprise customers successfully operationalize AI, achieve measurable business outcomes, and advance toward Autonomous IT. This role extends beyond traditional customer success by focusing on user adoption, operational change, executive alignment, and measurable value realization.

The successful candidate will manage a portfolio of strategic customers while combining technical expertise, business consulting, data-driven insights, and executive engagement. The role will focus on maximizing AI adoption, improving customer health, demonstrating ROI, and identifying opportunities for continued growth.

As part of the AI Growth organization, the AI Growth Strategist will contribute to an AI-first customer engagement model while working closely with AI Impact, Product, Engineering, Sales, Marketing, Enablement, and Customer Success teams.

Key Responsibilities

• Own customer success across a portfolio of strategic customers, guiding them from deployment through operational adoption, value realization, and Autonomous IT maturity.
• Partner with AI Impact teams to help customers transition from technical deployment to sustained operational adoption.
• Develop and execute AI Success Plans aligned with customer business objectives and track measurable outcomes throughout the customer lifecycle.
• Monitor customer adoption, product usage, health signals, and operational maturity to proactively identify risks and coordinate appropriate actions.
• Deliver Executive Business Reviews that communicate business value, ROI, adoption progress, and recommendations for continued growth.
• Guide customers in expanding AI adoption across new teams, use cases, and operational workflows.
• Partner with Sales to identify expansion opportunities based on demonstrated customer outcomes and realized value.
• Collaborate with Product, Engineering, and AI Impact teams to communicate customer feedback, emerging AI use cases, and enhancement opportunities.
• Partner with Marketing to identify customer references, AI Heroes, case studies, webinars, and advocacy opportunities.
• Stay current on AI adoption trends, customer success practices, and emerging AI technologies.
• Contribute to the continuous improvement of AI Growth playbooks and customer engagement methodologies.
• Support customers in maximizing the business impact and long-term value of AI-driven solutions.

Required Qualifications

• 4+ years of experience in Customer Success, Professional Services, Technical Account Management, Solutions Consulting, AI/ML, enterprise SaaS, or technical consulting.
• Experience supporting complex enterprise customers and managing strategic customer engagements.
• Demonstrated ability to drive adoption, manage executive stakeholders, and deliver measurable business outcomes.
• Strong technical aptitude and ability to understand AI-driven solutions, observability platforms, integrations, APIs, automation, and enterprise operational workflows.
• Experience developing customer success plans and conducting Executive Business Reviews.
• Experience measuring customer value and ROI while proactively managing customer health and adoption.
• Excellent consultative, analytical, and communication skills.
• Ability to influence technical teams and executive stakeholders.
• Ability to work effectively in a fast-paced, high-growth environment.
• Strong understanding of AI adoption and its application to enterprise operational workflows.

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