3 часа назад
Solutions Engineer (AI)
150 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Engineer (AI): Guiding enterprise customers from technical discovery through customized pilot deployments and production adoption with an accent on backend systems, cloud infrastructure, observability, and SRE workflows. Focus on building demos and technical enablement, coordinating complex multi-stakeholder sales cycles, and translating customer infrastructure problems into high-impact AI infrastructure evaluations.
Location: San Francisco, United States
Salary: $150,000–$300,000 OTE annually, plus equity and benefits.
Company
builds AI-powered software maintenance infrastructure that troubleshoots, remediates, and prevents complex enterprise production incidents.
What you will do
- Lead technical discovery and demo conversations with engineering teams evaluating the platform.
- Translate complex infrastructure problems into tailored pilot evaluations.
- Build and maintain demo environments, technical guides, and internal sales tooling.
- Partner with product and engineering to scope integrations, relay customer feedback, and influence roadmap priorities.
- Support customer onboarding and implementation to drive early value and long-term adoption.
- Track observability trends, SRE workflows, and the broader AI infrastructure ecosystem.
Requirements
- 3+ years of experience in Solutions Engineering, Forward Deployed Engineering, Solutions Architecture, or relevant engineering roles with strong customer instincts.
- Strong background in backend systems, developer tools, cloud infrastructure, or observability platforms.
- Excellent communication skills and the ability to explain complex technical concepts to varied audiences.
- Experience building proofs of concept, leading demos, or owning technical parts of a sales cycle.
- Ability to coordinate multiple internal and external stakeholders, lead recurring meetings, and drive pilots to completion.
- Enterprise experience with complex multi-stakeholder sales cycles involving discovery, POV/POC, security, legal, procurement, and production deployment.
Nice to have
- Familiarity with SRE workflows or observability tools.
- Hands-on experience with Terraform or Kubernetes.
- Experience creating technical enablement content and scaling early sales motions.
- Interest in AI infrastructure and agentic systems.
Culture & Benefits
- Collaborative, hard-working environment focused on building AI-powered software maintenance.
- High ownership, fast execution, and continuous learning.
- Health insurance, equity, flexible time off, and a technical equipment setup.
- In-office snacks and a small, high-impact team environment.
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