Enterprise Solutions Engineer
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Job Description
Enterprise Solutions Engineer helping Resolve AI sell autonomous production-engineering software. Leading technical demos, enterprise evaluations, and proof-of-concepts for cloud-native customers.
Responsibilities:
- Partner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close, serving as the technical lead
- Lead product demos and technical evaluations
- Translate customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform
- Build trusted customer relationships and ensure technical success during pilots and deployments
- Collaborate with Product and Engineering to relay customer feedback, influence roadmap decisions, and improve technical messaging
- Develop and maintain reusable demo environments, playbooks, and sales engineering tools to support a repeatable, scalable, high-velocity go-to-market motion
Requirements:
- 5+ years of experience in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role
- Ideally experience in enterprise SaaS, DevOps, or AI
- Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders
- Experience with cloud platforms, especially AWS
- Experience with Kubernetes
- Strong understanding of DevOps practices in cloud-native environments
- Skills in infrastructure automation
- Ability to apply security and compliance best practices in cloud-native environments
- Strong communication and presentation skills for technical teams and executive leadership
- Adaptable, self-starter mindset and ability to thrive in fast-paced, early-stage environments
- Legally authorized to work in the United States or able to obtain required visa sponsorship
Benefits:
- Competitive Pay Packages with full benefits
- Comprehensive Medical, Dental, and Vision Insurance
- Monthly Housing Stipend
- Flexible (Unlimited) Paid Time Off
- Visa Sponsorship & Immigration Support
- 401(k) Plan
- Parental Leave
- Discretionary Tech Benefit Stipend
- Daily in-office Lunches and Dinners
- Opportunity to make a real impact
- Opportunity to shape agentic AI’s future
- End-to-end ownership in a collaborative, high-trust environment
- Career growth and professional development opportunities
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