Related skills
docker aws python kubernetes gcp📋 Description
- Execute technical discovery with Account Executives to understand client needs.
- Identify, qualify, and disqualify opportunities to unlock value.
- Influence evaluation criteria and manage the evaluation process.
- Create a strategic customer vision based on goals and required capabilities.
- Deploy models with customers into their infrastructure.
- Onboard customers and ensure production readiness; travel 30–60%.
🎯 Requirements
- Degree in Computer Science, Data Science, Engineering, or related field.
- Experience as DevOps, Site Reliability Engineer, or Cloud Solution Architect.
- Experience deploying AI-based products in production.
- Fluent in Python.
- Docker, Kubernetes, CI/CD, and automated deployment tools.
- Deep understanding of AWS, Azure, GCP and on-prem infrastructure.
- Customer-facing experience and strong project & stakeholder management.
- Foundational knowledge in AI/ML/Data science; connect tech to business value.
🎁 Benefits
- Competitive cash salary and equity
- Healthcare: Medical/Dental/Vision
- 401K: 6% matching
- Transportation: Parking or $120/mo public transit
- Coaching: BetterUp coaching (voluntary)
- Meal voucher: $400 monthly for meals
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