5+ years of experience as a Solutions Engineer, Sales Engineer, or Solutions Architect.
Experience managing relationships with large, technically complex organizations.
Proficiency in Python and Javascript coding.
Experience with large scale implementations on AWS, GCP, or Azure; familiarity with Docker, Kubernetes, and Terraform is a plus.
Understanding of security and compliance processes for B2B product implementations.
Excellent written and verbal communication skills, with experience presenting to varying sized groups.
Proven ability to work directly with customers of different sizes.
Strong organizational skills with a proactive, creative approach to project completion.
Genuine passion for ethical AI implementation.
Responsibilities
Act as the main technical contact for prospects evaluating the product.
Collaborate with Customer Success to ensure smooth onboarding and value realization for customers.
Create and update technical documentation to facilitate pre-sales and post-sales processes.
Support product configuration and deliver minor adjustments for customer setups.
Capture and relay prospect feedback to Product and Engineering teams to enhance the product roadmap.
Establish a scalable Solutions Engineering function through the development of playbooks and best practices.
Benefits
Flexible work environment with the ability to work remotely.
Opportunities for professional development and career growth.
Health and wellness benefits to support overall wellbeing.
Involvement in innovative projects at the forefront of AI technology.
Full Job Description
Act as the primary technical point of contact for prospects evaluating our product. Understand their needs and design solutions that align with their infrastructure using our platform.
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 and ensuring the platform evolves with real-world needs.
Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.
Qualifications
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 1:1, in small groups, and at large conference venues.
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.
