5+ years experience in Solutions Engineering or similar roles.
Experience managing relationships with large enterprises, especially technical products.
Proficient in Python and Javascript.
Experience with at least one hyperscaler like AWS, GCP, or Azure; Docker and Kubernetes preferred.
Knowledge of security, compliance, and IT processes for B2B products.
Excellent communication skills, comfortable presenting to various audience sizes.
Organized and self-motivated; inventive in project management.
Passionate about ethical AI implementation.
Responsibilities
Serve as the main technical contact for prospects assessing our product.
Collaborate with Customer Success for quick customer onboarding and value realization.
Create and update technical documentation to aid pre-sales and post-sales processes.
Assist in product configuration and implement minor technical changes for customers.
Incorporate feedback from prospects into Product and Engineering for future improvements.
Establish foundational practices for a scalable Solutions Engineering function.
Benefits
Comprehensive health benefits including medical, dental, and vision insurance.
Flexible work schedule and remote work options.
Professional development opportunities and training budget.
Generous paid time off policy and holidays.
401(k) plan with company match.
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.