Enterprise Solutions Engineer
Posted on 4/2/2024
Robust Intelligence

51-200 employees

AI integrity platform mitigating security, ethical, operational risks.
Company Overview
Robust Intelligence stands out as a leader in AI Integrity, providing comprehensive protection against AI risks through continuous validation and automated testing of models and data. Their platform, trusted by industry giants like JPMorgan Chase, Expedia, and the U.S. Department of Defense, not only mitigates security, ethical, and operational vulnerabilities but also simplifies AI governance. Backed by reputable investors such as Sequoia Capital and Tiger Global, Robust Intelligence empowers organizations to confidently utilize any model, thereby unlocking the full potential of AI in a secure manner.
AI & Machine Learning
B2B

Company Stage

Series B

Total Funding

$44M

Founded

2019

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

10%

1 year growth

22%

2 year growth

42%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Python
Docker
AWS
REST APIs
Linux/Unix
Google Cloud Platform
CategoriesNew
DevOps & Infrastructure
DevOps Engineering
Platform Engineering
Cloud Engineering
Requirements
  • At least five years of professional experience as a sales engineer, customer architect, consulting, or other customer-facing technical field
  • Strong knowledge of customer success and sales processes
  • Knowledge of Python (or other programming languages)
  • Strong experience with major public cloud platforms (e.g. AWS, Google Cloud Platform, Azure)
  • Knowledge of Unix, Docker, Kubernetes, Python, REST
  • Significant experience developing and delivering product demonstrations and leading proofs of concept
  • Ability to establish trust at the CxO level as well as with technology practitioners
  • Self-motivated and excited to work at a startup; comfortable with ambiguity, eager to learn, and able to thrive with little to no direct, daily oversight
  • Strong communication skills (business fluency in spoken and written English)
  • Ability to travel about 25% of the time to meet with your accounts
Responsibilities
  • Build strong, meaningful relationships with customers and proactively seek to understand their technical and business objectives
  • Drive technical engagement and adoption across the complete customer journey
  • Champion customer needs internally, advocating for them within the company and leveraging customer knowledge to influence the product roadmap
  • Coordinate across multiple teams, including Product, Engineering, Sales, and Support to advance adoption, expansion, and other Customer Success priorities
  • Become a power user of the platform, deeply understanding the user experience and creating and delivering tailored product demonstrations
  • Design high-quality, differentiated proofs of concept that establish the value of the platform
  • Scope customer engagements; investigate and understand customer needs
  • Build bespoke machine learning validation solutions using the platform
  • Work with customers to architect integrations with their existing machine learning stack
  • Work with customers to design best practices, processes, and frameworks for their organization
  • Gather, understand, and communicate customer feedback to the Product and Engineering teams
  • Own customer-facing technical communications to ensure a professional and concise message