Remote Otter LogoRemoteOtter

Member of Technical Staff, Field Engineer - Remote

Posted 10 weeks ago
Sales / Business
Full Time
Worldwide

Overview

Anyscale is on a mission to democratize distributed computing, making it accessible for software developers. As a Member of Technical Staff, Field Engineer, you will advocate for customers and work closely with sales, product management, and engineering to enhance customer engagement.

In Short

  • Serve as the technical face of Anyscale, advocating for customers.
  • Build product demos, tutorials, and reference architectures.
  • Educate customers on using Ray for application development.
  • Collaborate cross-functionally with engineering and product teams.
  • Manage stakeholder communications effectively.
  • Identify product improvement opportunities based on customer feedback.
  • Work with various customer levels from C-suite to developers.
  • Drive impactful solutions alongside marketing and Go-to-Market teams.
  • Demonstrate technical concepts to both technical and non-technical audiences.
  • Help shape the future of distributed applications at scale.

Requirements

  • 5+ years of pre- and post-sales experience.
  • Strong technical skills with knowledge of Python and Ray.
  • Experience in enterprise SaaS, infrastructure, or ML/AI technologies.
  • Familiarity with public cloud and enterprise infrastructure.
  • Customer success orientation with a focus on building value.
  • Cross-functional collaboration experience.

Benefits

  • Market-based compensation approach.
  • Stock options and equity offerings.
  • 99% healthcare premium coverage for employees and dependents.
  • 401k retirement plan.
  • Education and wellbeing stipend.
  • Paid parental leave and fertility benefits.
  • Paid time off and commute reimbursement.
  • 100% of in-office meals covered.
Anyscale logo

Anyscale

Anyscale is dedicated to democratizing distributed computing, making it accessible to software developers of all skill levels. The company is commercializing Ray, a widely-used open-source project that fosters an ecosystem of libraries for scalable machine learning. Major companies such as OpenAI, Uber, and Spotify utilize Ray to enhance their AI applications. Anyscale aims to provide the optimal environment for running Ray, enabling developers and data scientists to scale machine learning applications seamlessly from their laptops to clusters without needing extensive expertise in distributed systems. Backed by prominent investors like Andreessen Horowitz and NEA, Anyscale has raised over $250 million to date.

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