Forward Deployed Engineer, Domino Data Lab
$165-200k
More information about location
Enterprise AI platform
Open for applications
Enterprise AI platform
201-500 employees
Open for applications
$165-200k
More information about location
201-500 employees
Company mission
To unleash AI to address the world's most important challenges.
Role
Who you are
- 1-3 years of experience working in a customer-facing technical role
- Core Technical Stack: Strong engineering roots with deep proficiency in Python (primary), alongside familiarity with SQL, R, and Bash
- Cloud & Infrastructure: Experience with Kubernetes and managed K8s solutions (such as EKS, AKS, or GKE), Docker, and cloud architecture (AWS, Azure, or GCP). You should be capable of troubleshooting networking, compute, and platform issues
- AI & MLOps Experience: A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks
- Regulated Environment Navigation: Experience operating within, or consulting for, highly regulated or constrained environments. You can expertly navigate multi-factor constraints like strict compliance rules, data security hurdles, and infrastructure limits
- Consultative Mindset: Exceptional communication skills across both technical and business audiences. You are comfortable running structured discovery conversations, leading technical solutioning sessions, and translating messy customer requirements into buildable, tested solutions
- Execution Style: An "act fast, own it" mentality. You thrive in ambiguity, do not let blockers sit, and are comfortable making yourself productive inside an unfamiliar codebase quickly
What the job involves
- The Customer Engineering Solutions Team at Domino is the primary delivery engine working inside some of the world’s most regulated, complex, and demanding organizations—where security, reliability, governance, and production readiness are critical
- A Forward Deployed Engineer is a software engineer with solutions instincts, embedded in a customer’s environment and building AI workflows on Domino that the customer couldn’t have built as fast, or as well, without you. We write production code, ship it inside the customer’s environment, and stay close to the problem until Domino is fundamentally part of how they work
- We build and deploy production-grade AI solutions against real, high-impact use cases. That can mean specialized AI and inference workflows, custom cloud and data integrations, interactive applications, CI/CD and platform extensions, or solutions designed to operate within strict security, compliance, and governance requirements
- Day 0–30 (Onboard & Shadow): You will be given the resources to master Domino platform mechanics and learn core user/admin functionalities. You will closely shadow the customer’s environment, pairing with a senior FDE to learn the client’s unique data, tooling stack, and commercial objectives
- By Month 6 (Full Ownership): You will step into full customer ownership across your engagements, executing independently against a prioritized backlog managed by your partner Engagement Manager (EM). You will build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring) while actively advising data science teams on Domino best practices
- By Year 1 (Strategic Scale & Leverage): You will lead and advise on key accounts, serving as a trusted advisor to technical and business stakeholders alike. You will author reusable playbooks, integration templates, and deployment guides for our shared knowledge base, measurably lifting the delivery speed of the entire FDE practice. Additionally, you will translate field intelligence into critical product feedback, routing platform signals to our SRE, Support, and Product teams to shape Domino’s roadmap
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by he end of 2026, Domino Data Lab is meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Thomas Robinson
(COO)Thomas joined Domino in 2016 as CPO, moving into the role of VP of Strategi Partnerships & Corporate Development in 2020 and then into the role of COO in 2022. Previously, he spent 10 years at Bridgewater Associated in various roles, including Director of Engineer and GM of Tech Talent Transformation.
Tom Gleason
(CFO)Prior to joining Domino in 2021, Tom was a VP of Finance & Strategy at Avalara. Before that, he spent 9 years at Tableau Software in various roles, including Director of Financial Planning & Analysis and VP of Finance.
Thomas Been
(CMO)Prior to joining Domino in 2023, Thomas was a CMO at DataStax and Druva. He also spent nearly 15 years at TIBCO Software in various roles, including VP of Product Management and CMO.
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