Назад
5 дней назад

Account Engineer (AI Data Cloud)

105 000 - 137 812$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Account Engineer (AI Data Cloud): Deliver technical expertise and build relationships with prospects and customers exploring the Snowflake AI Data Cloud with an accent on technical evaluations, proof-of-concept demonstrations, and future-state architecture. Focus on solving customer problems through tailored demos and hands-on labs while aligning technical solutions to business outcomes.

Location: US (Remote) or Denver, CO

Salary: $105,000 – $137,812

Company

Snowflake powers the era of the agentic enterprise with an AI Data Cloud.

What you will do

  • Support customer engagements by presenting Snowflake’s technology and vision to technical and business audiences.
  • Collaborate on technical evaluations and proof-of-concept demonstrations, tailoring solutions to customer needs.
  • Partner with customers and technical champions to build trust and contribute to long-term customer success.
  • Develop technical expertise through tailored demos, hands-on labs, and learning resources.
  • Work with Account Executives, Marketing, and partners to help customers realize value.

Requirements

  • Some experience in a technical role (solution engineering, solutions architecture, or software development), preferably in SaaS, data analytics, or cloud.
  • Basic familiarity with SQL and/or Python, or strong willingness to learn.
  • Ability to communicate effectively in written and verbal form with diverse audiences.
  • Customer-focused mindset and willingness to solve customer problems.
  • Collaborative, team-player approach working with peers, partners, and customers.

Nice to have

  • Experience with modern data technologies (e.g., Snowflake, Databricks, Fabric, BigQuery) and related tooling (CI/CD, Spark, containers, DevOps, orchestration, Git).
  • Familiarity with public cloud platforms (AWS, Azure, GCP).
  • Experience with data science, machine learning workflows, or governance tools.

Culture & Benefits

  • Supportive, growth-minded team focused on collaboration, curiosity, and inclusion.
  • Comprehensive benefits including 401(k), health/dental/vision, and flexible PTO.
  • Professional development budget and mentorship opportunities.
  • Compensation includes base salary plus variable compensation and equity (OTE mentioned as $140,000–$210,000).

Hiring process

  • Interviews focused on technical problem-solving, customer-facing communication, and fit for solution engineering work.
  • Evaluation of experience with technical evaluations and proof-of-concept style engagements.

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