Akuity
Technical Customer Success Manager, AMER Central/East
Remote - North America - East
Sponsorship not specifiedDetected 4 days ago
GitKubernetesDevOpsOnboardingCustomer SuccessCommunicationCollaborationArgo CD
About the role
- We are looking to hire a Technical Customer Success Manager to our Customer Success team.
- This team member will work with our customers to help them onboard to our platform and guide them through their Argo journey to ensure it is as successful as possible.
- Work with clients to establish business and technical goals or other key performance indicators and aid the customer in achieving these goals.
Responsibilities
- Manage a portfolio of strategic accounts with full responsibility for the customer lifecycle from onboarding and adoption to the renewal phase
- Establish a trusted/strategic advisor relationship with each assigned client and drive continued value of our products and services.
- Drive the implementation and customer onboarding, taking help from key internal stakeholders with a key focus on 'time to value' objectives.
Nice to have
- Strong technical background (hands-on knowledge of Kubernetes is nice to have)
- Naturally curious and creative, eager to learn, adapt and perfect your work, you seek help and put it to good use
- Ability to break down technical concepts for a wider audience of different stakeholders (ranging from Junior Engineers to C-Level Executives)
- Prior experience in Customer Success or equivalent work experience focused on increasing customer satisfaction, adoption, and retention
- Familiarity working with clients of all sizes
- Willingness to travel if needed
Skills
- Good verbal and very good written communication skills
- Up to date with the latest trends in the DevOps/GitOps/Cloud Native world
Company info
- Enthusiastic about working with a diverse, global team of professionals across multiple time zones (asynchronously)
- Develop, prepare, and nurture customers for advocacy.
This listing is sourced directly from Akuity's careers page and normalized into a canonical job model.