Sr. AI Growth Strategist
LogicMonitor
Sr. AI Growth Strategist
LogicMonitor is seeking a Sr. AI Growth Strategist in Amsterdam to own the technical and business success of strategic Edwin AI customers. The role requires 7+ years in technical customer-facing enterprise roles, strong technical aptitude across observability, cloud, integrations, and AI, plus the ability to engage C-level stakeholders and drive measurable business outcomes.
Sr. AI Growth Strategist
LogicMonitor is seeking a Sr. AI Growth Strategist in Amsterdam to own the technical and business success of strategic Edwin AI customers. The role requires 7+ years in technical customer-facing enterprise roles, strong technical aptitude across observability, cloud, integrations, and AI, plus the ability to engage C-level stakeholders and drive measurable business outcomes.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Key Responsibilities
- Own the success of a portfolio of strategic and complex Edwin AI customers from post-implementation adoption through value realisation, maturity, advocacy and growth.
- Build a deep understanding of each customer’s architecture, observability environment, integrations, ITSM processes, operational workflows and AI use cases.
- Lead technical and operational discovery to understand customer requirements, diagnose adoption blockers and determine whether issues relate to configuration, integration, data, workflow, product capability or customer environment.
- Act as a credible technical partner to SRE, DevOps, platform, infrastructure, operations and engineering stakeholders while coordinating Support, Product and Engineering when deeper expertise is required.
- Translate technical capabilities, usage and operational outcomes into business value that is meaningful to CIOs, CTOs and other executive stakeholders.
- Develop and execute customer success and growth plans with clear use cases, success measures, adoption milestones, risks and value metrics.
- Identify opportunities to expand Edwin across additional teams, workflows and use cases based on demonstrated customer outcomes and technical fit.
- Represent the Voice of the Customer: investigate the underlying problem behind feature requests, quantify impact, identify patterns across customers and build evidence-based cases for Product and Engineering.
- Proactively manage customer risk and technical escalations, maintaining clear customer communication while driving internal ownership and resolution.
- Run executive and operational customer cadences that demonstrate adoption, measurable value, risks, priorities and next steps.
- Capture repeatable use cases, technical patterns, customer outcomes and lessons learned to improve team playbooks and product strategy.