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Mid LevelFull-timeJavaScriptPythonJavaAWSGCPAzureKubernetesDockerTerraformAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Solutions Engineer to accelerate sales velocity, increase customer success, and shape the product experience as we scale. In this customer-facing role, you’ll be the primary technical point of contact through the sales process and a resource for customer success.
Key Responsibilities
- →Act as the primary technical point of contact for prospects evaluating Lakera, understanding their needs and designing solutions that align with their infrastructure.
- →Partner with Customer Success to ensure customers onboard quickly and realize value from the platform.
- →Develop and maintain technical documentation and guides to streamline pre-sales and guide post-sales workflows.
- →Support product configuration and deliver minor technical changes required for prospect and customer implementations.
- →Feed prospect feedback directly into Product and Engineering, helping shape the roadmap.
- →Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.
Requirements
- ✓5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role.
- ✓A track record of managing relationships with large, complex organizations, preferably with a deeply technical enterprise product.
- ✓Proficiency coding in the Python and Javascript ecosystems.
- ✓A track record of enabling large scale implementations in at least one of the hyperscalers (AWS, GCP, Azure).
- ✓Preferred experience with Docker, Kubernetes, and Terraform.
- ✓An understanding of and experience navigating security, compliance, and IT processes and requirements when implementing B2B products at large enterprises.
- ✓Strong written and verbal communication and interpersonal skills with a comfort presenting in front of customers.
- ✓A track record of working directly with customers of varying sizes, including large enterprises.
- ✓An organized, self-starter approach with an eye for finding creative ways to get projects to the finish line.
- ✓A passion for what AI can do for the good of humanity and a desire to ensure that it is implemented in a secure and ethical way.
- ✓Comfortable in a small and fast moving startup environment.
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