7 часов назад
Customer Engineer (AI)
160 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Engineer (AI) (AI/ML APIs and infrastructure): Leading technical enterprise sales cycles by conducting discovery, designing solutions, delivering customized demonstrations, and managing proof-of-concept environments with an accent on API integration, model requirements, data residency, and compliance. Focus on architecting solutions under pressure, addressing technical objections, and translating customer needs into product roadmap feedback.
Location: Remote (US)
Salary: $160K–$190K plus equity
Company
provides AI products and API infrastructure for enterprise customers.
What you will do
- Lead technical discovery calls covering AI/ML architectures, use cases, and customer requirements.
- Develop expertise in products and design solutions for business problems.
- Assess API integration, model requirements, data residency, and compliance fit.
- Create and deliver customized product demonstrations and manage proof-of-concept environments.
- Partner with account executives from discovery through close, including customer meetings, QBRs, executive briefings, proposals, and technical contract discussions.
- Address technical objections, analyze competitive positioning, and provide product and engineering feedback based on customer needs and market requirements.
Requirements
- 5+ years of experience as a Sales Engineer, Customer Engineer, Solutions Engineer, or Solutions Architect in B2B SaaS, API, or infrastructure platforms.
- Strong technical background with hands-on experience in software development, APIs, or cloud infrastructure.
- Excellent presentation and problem-solving skills, including the ability to explain complex technical concepts to varied audiences.
- Ability to architect solutions under pressure and support customers throughout the sales cycle.
- Customer-first mindset and a genuine desire to help customers succeed.
Nice to have
- Sales engineering experience with AI/ML technologies, LLMs, or machine learning platforms.
Culture & Benefits
- Full-time employment in a remote US role.
- Equity offered as part of compensation.
- Cross-functional collaboration across sales, engineering, and product.
- Opportunity to contribute to product roadmap prioritization through customer feedback.
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