Avatar for Domino Data Lab
Domino Data Lab
Actively Hiring
Unleash the power of AI for sophisticated and regulated enterprises
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • +2

Forward Deployed Engineer

Posted: 2 days ago• Recruiter recently active
Job Location
Visa Sponsorship

Not Available

RelocationNot Allowed

About the job

Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

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.

What your impact will be

  • 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.

What we look for in this role

  • 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 we value

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

Visa Sponsorship: Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status.


#LI-Remote

About the company

Domino Data Lab company logo

Domino Data Lab

Actively Hiring
Unleash the power of AI for sophisticated and regulated enterprises201-500 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • 4.6
    Highly rated
    Domino Data Lab is highly rated on Glassdoor, with 4.6 out of 5 stars
  • 4.3
    Strong Leadership
    Employees rate Domino Data Lab 4.3/5 on Glassdoor for faith in leadership
Learn more about Domino Data Lab image

Funding

AMOUNT RAISED
$223.6M
FUNDED OVER
7 rounds
Rounds
F
$100000000
Series F - Oct 2021+6

Perks

Healthcare benefits
We provide competitive health benefits including a free option for employees and their families.
Paid Parental Leave
We love kids and even have a Slack channel dedicated to them. New parents will receive 6 weeks of fully paid parental leave.
Annual Education Reimbursement
Growth is a pillar of our culture but we also have a diverse employee population with different learning needs. Thus, we offer an annual educational reimbursement for all employees.
Flexible PTO
We believe it’s important to disconnect.
Meals & Snacks
Our kitchen is full of snacks and enjoy lunch in the SF office 3x a week. Picnics, outings, and happy hours dot our social calendar.
Flexible Work Schedule
We trust our employees to “own the outcome” and get their work done regardless of their work location. Employees and managers determine what makes sense, balancing personal and business needs.
Commuter benefits
Uber, Lyft, Bus, Train. We want to help you in your daily commute.

Founders

Nick Elprin
Co-founder & CPO
San Francisco
image
View the team image

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