Forward Deployed Engineer, Post-Sales (AI Data Platform)

A startup whose platform curates data for training AI models is hiring a senior engineer to be the technical advisor strategic customers rely on during complicated rollouts. You should feel equally at home in a client meeting and inside infrastructure configuration files.

What you’ll own

Manage onboarding, installation and production launch of the platform for key accounts, start to finish

Act as the lead technical contact, building lasting relationships and encouraging adoption in intricate on-premise and hybrid setups

Design secure workflows that scale, covering compute, storage and networking, on any of the three major public clouds as well as Kubernetes clusters inside customer data centers

Partner with colleagues in the commercial, product-engineering and research groups to translate client needs into technical plans and pass what you learn back to shape the product

Visit customer sites when required, around fifteen percent of the time

What you bring

Five to ten years in a technical role after the sale, such as solutions or customer engineering or implementation

Experience installing software inside enterprise customer environments and owning the whole post-sale lifecycle

Solid grounding in large-scale distributed architectures, data platforms and compute that runs in customer-owned or mixed environments

Depth across the major clouds including IAM, plus Python or SQL

Hands-on machine learning and model-training background

Comfort with ambiguity, turning fuzzy requirements into concrete architecture

Hybrid in the South Bay Area (Silicon Valley). Visa transfers are considered.