5 дней назад
Sales Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sales Engineer (AI) (AI/SaaS): Connecting enterprise customers with an AI agent platform through technical product expertise, demos, proofs of concept, and architecture guidance with an accent on agentic AI, retrieval pipelines, and enterprise deployments. Focus on evaluating and tuning retrieval and agentic pipelines, designing cloud and on-premise architectures, and translating complex technology into customer-facing solutions.
Location: US West Coast required; Bay Area strongly preferred. Travel to customer accounts may be required up to 20% of the time.
Company
provides an AI agent platform for building applications grounded in organizational data and knowledge across cloud, VPC, and on-premise environments.
What you will do
- Provide technical product expertise throughout the customer journey.
- Conduct standard and custom product demonstrations, support proofs of concept, and assist with evaluations.
- Guide customers through application architecture, design, development, and production deployment.
- Scope and plan Professional Services projects and support customer success activities.
- Evaluate and tune retrieval and agentic pipelines to meet enterprise performance requirements.
- Respond to technical and functional RFIs/RFPs and communicate customer feedback to Product, Engineering, and Machine Learning teams.
Requirements
- 5+ years of Sales Engineering experience in AI, ML, search, analytics, or data engineering.
- Experience selling technical products to AI, data, or IT organizations in large enterprises.
- 2+ years of Professional Services or internal development experience designing and developing enterprise applications.
- Experience with agentic AI development, including context layers, agent harnesses, skills, tools, and guardrails.
- Development experience with Python and/or Java, plus experience building applications that consume REST services.
- Understanding of cloud and on-premise architecture, including SaaS, VPC, multi-tenancy, automation, GPUs, virtualization, Kubernetes, and networking.
Nice to have
- Master’s degree in Computer Science, Computer Engineering, or an equivalent field.
Culture & Benefits
- Full-time employees receive equity ownership in the company.
- Medical, dental, and vision coverage is fully paid for employees.
- Health Savings Account or Flexible Savings Account options are available.
- Generous paid time off, paid sick time, and holidays.
- Professional development and training opportunities within a supportive and respectful culture.
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