Forward Deployed Engineer

🔥 1 hour ago

🗽 New York – Remote

🗽 New York – Remote

💵 $165k - $200k / year

⏰ Full Time

🟢 Junior

👷🏻‍♀️ Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Domino Data Lab

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

Artificial Intelligence • Enterprise • SaaS

Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.

📋 Description

• Master Domino platform mechanics and core user/admin functionalities during onboarding • Shadow customer environments and pair with a senior Forward Deployed Engineer • Learn customers’ data, tooling stacks, and commercial objectives • Take full ownership of customer engagements and execute against prioritized backlogs managed by an Engagement Manager • Build and deploy production-grade AI solutions across the MLOps lifecycle, including development, deployment, and monitoring • Advise data science teams on Domino best practices • Lead and advise key accounts as a trusted advisor to technical and business stakeholders • Author reusable playbooks, integration templates, and deployment guides • Translate field intelligence into product feedback for SRE, Support, and Product teams • Build and deploy specialized AI and inference workflows, custom cloud and data integrations, interactive applications, CI/CD and platform extensions, and solutions meeting strict security, compliance, and governance requirements

🎯 Requirements

• 1-3 years of experience working in a customer-facing technical role • Strong engineering roots with deep proficiency in Python • Familiarity with SQL, R, and Bash • Experience with Kubernetes and managed K8s solutions such as EKS, AKS, or GKE • Experience with Docker and cloud architecture using AWS, Azure, or GCP • Ability to troubleshoot networking, compute, and platform issues • Proven track record delivering machine learning workflows, model deployment and monitoring, GPU workloads, and generative AI or agent frameworks • Experience operating within or consulting for highly regulated or constrained environments • Ability to navigate strict compliance rules, data security hurdles, and infrastructure limits • Exceptional communication skills across technical and business audiences • Ability to run structured discovery conversations and lead technical solutioning sessions • Ability to translate customer requirements into buildable, tested solutions • Ability to thrive in ambiguity and become productive quickly inside an unfamiliar codebase

🏖️ Benefits

• Equity • Company bonus or sales commissions/bonuses • 401(k) plan • Medical, dental, and vision benefits • Wellness stipends • Visa sponsorship may be available depending on business considerations and role requirements

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