12 часов назад
Solutions Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect (AI): Designing and delivering enterprise solutions, demos, and proof-of-value engagements for an AI SRE platform with an accent on technical discovery, multi-cloud environments, Kubernetes, observability, and incident workflows. Focus on translating complex infrastructure into solution architectures, proving measurable customer value, and establishing the solutions engineering function from the ground up.
Location: Pleasanton, California, United States; on-site
Company
is a seed-stage AI-native startup building an AI SRE Teammate for site reliability engineers, with expertise in observability, distributed systems, cloud, cybersecurity, and networking.
What you will do
- Partner with account executives and founders on technical discovery and customer engagement.
- Design and deliver enterprise demos and end-to-end proof-of-value engagements.
- Advise customers on SRE, DevOps, platform engineering, reliability, and business outcomes.
- Translate multi-cloud, Kubernetes, observability, and incident-management environments into solution architectures.
- Collaborate with Product and Engineering to provide field feedback and influence roadmap priorities.
- Create reusable demos, playbooks, solution briefs, integration guides, and processes for scaling the solutions engineering function.
Requirements
- 7+ years of experience in technical pre-sales, solutions architecture, or customer engineering for enterprise SaaS.
- Strong background in SRE, DevOps, or infrastructure software, with hands-on expertise in Kubernetes, observability, incident management, cybersecurity, or cloud platforms such as AWS, Azure, or GCP.
- Proven success meeting or exceeding annual quotas and running customer proof-of-value engagements from scoping through measurable results.
- Excellent communication and presentation skills for both engineering and executive audiences.
- Ability to work independently and collaboratively in a fast-paced, zero-to-one startup environment.
Nice to have
- MS degree in engineering.
- Experience building demos, integrations, or scripts with Python, APIs, Terraform, or modern tooling.
Culture & Benefits
- Medical, vision, and dental benefits, plus 401(k) and commuter benefits.
- Equity with QSBS eligibility for US employees.
- Free lunches, snacks, and espresso.
- Mentorship opportunities from founders and colleagues.
- Collaborative environment with minimal bureaucracy and a focus on high-impact work.
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