Domino Data Lab

Domino Data Lab

Forward Deployed Engineer

New York, New York · Junior

Sponsorship not specified$165k-$200kDetected 27 days ago
PythonSQLSnowflakeAWSGCPAzureDockerKubernetesCI/CDSite Reliability EngineeringMachine LearningData ScienceLLMsMLOpsCommunication

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

$589 more — $165,589 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,589 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 441 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • 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.
  • 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.

Requirements

  • 1-3 years of experience working in a customer-facing technical role

Compensation

  • $165,000 - $200,000 USD

Benefits

  • Execution 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Company info

  • 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.
  • 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.
  • 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
  • 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
  • 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.
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This listing is sourced directly from Domino Data Lab's careers page and normalized into a canonical job model.