EMEA Senior Customer Success Leader: Drive Adoption & Growth

Mixpeek; Ireland; Sur place; EUR 80 000 - 120 000; Plein temps

Résumé du poste

LaunchDarkly is seeking a Customer Success Manager to guide post-sales customers in adoption and value realization. You will own onboarding, craft success plans, and partner with sales to drive renewals and expansions.

The role emphasizes deep product knowledge, DevOps familiarity, and a customer-first mindset in a fast-moving GTM environment. You will build trusted relationships, manage risk, and collaborate across teams to ensure customers achieve measurable outcomes and maximize value from

Qualifications

• 5+ years in a customer-facing role with targets
• Experience owning renewals and retention quotas
• Strong discovery and qualification skills; sales methodology knowledge preferred
• Strong project management with cross-functional accountability
• Technical product experience, DevOps exposure preferred
• Ability to advocate for customers and the company as voice of the customer

Responsabilités

• Onboard new customers and build success plans for adoption
• Identify and mitigate risks to prevent churn and contraction
• Provide technical guidance on implementation and best practices
• Prescriptively identify opportunities for upsell and feature adoption
• Act as trusted advisor and executive sponsor for champions
• Forecast renewals and expansions and coordinate with sales and deal desks

Connaissances

Sales acumen

Communication

Organization

Autonomy

Teamwork

Problem solving

Description du poste

LaunchDarkly is seeking a Customer Success Manager to guide post-sales customers in adoption and value realization. You will own onboarding, craft success plans, and partner with sales to drive renewals and expansions.

The role emphasizes deep product knowledge, DevOps familiarity, and a customer-first mindset in a fast-moving GTM environment. You will build trusted relationships, manage risk, and collaborate across teams to ensure customers achieve measurable outcomes and maximize value from