• Lead technical execution on Domino’s most strategic F100 deployments - multi-cloud, on-prem, and hybrid - powering enterprise AI/ML at scale.
• Design end-to-end reference architectures that hold up in regulated environments across data, identity, security, and infrastructure.
• Build and document field integrations across the AI/ML ecosystem (data platforms, model registries, MLOps tooling), then enable the rest of Solutions on them.
• Partner with account and SE teams on scoping, custom demos, and PoCs that map to real customer AI use cases - not generic ones.
• Translate what you see in the field into roadmap input Product and Engineering actually act on., Architects and presents enterprise IT, hardware, software, services, and XaaS solutions to meet customer business and technical outcomes. Develops proposals, demonstrations, proofs of concept, technical designs, comparative analyses, and business-value cases. Partners with sales teams, customers, and technology providers throughout the sales cycle, supports account and pipeline planning, identifies expansion opportunities, manages forecasts, and builds executive relationships. The role also tracks technology trends, contributes to industry events, and mentors junior team members., Develops hybrid infrastructure solutions in a field-based technical pre-sales role. Provides consultative guidance, creates architectures and statements of work, analyzes technical requirements, supports partner sales, and builds customer and vendor relationships. Leads territory strategy, technical discussions, enablement, training, and mentoring while serving as a subject matter expert across solution families. Requires strong customer engagement, presentation, solution design, and communication skills, plus willingness to travel up to 25%. Top Skills: HpeHybrid Infrastructure M-Files

Architect

2 Days Ago In-Office or Remote United States Senior level Senior level Information Technology * Productivity * Professional Services * Software * Business Intelligence Leads customer discovery, requirements workshops, stakeholder interviews, process analysis, and solution design for M-Files implementations. Defines integrations, technical architectures, acceptance criteria, documentation, testing, deployment, migration, and training. Partners with project management, product, and R&D teams; identifies AI and automation opportunities using Claude; mentors consultants; supports presales and manages multiple customer engagements. Top Skills: .NetAPIsAzureC#ClaudeClaude CodeClaude CoworkClaude ProjectsClaude.AiM-FilesMcp IntegrationsUmlVb.Net

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 5+ years hands-on with Kubernetes in production - upgrades, migrations, multi-region DR, cluster management at scale.
• End-to-end enterprise K8s implementations in the wild, cloud or on-prem (OpenShift a strong signal). PoCs and Terraform-only don’t count.
• Direct experience owning strategic customer relationships at CTO / platform-lead level, not one step below.
• Hands-on with at least one major cloud (AWS, Azure, or GCP) - Azure a strong plus - and comfort translating security and compliance requirements into architectures that pass audit.
• Hands-on AI/ML or data platform experience (Domino or comparable MLOps tooling), especially in regulated environments - a strong plus.

• 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

LI-Remote

The annual US base salary range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $200,000-$250,000 USD, In-Office or Remote 4 Locations 152K-355K Annually Expert/Leader 152K-355K Annually Expert/Leader

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. 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 a decade but are still a small team operating with the spirit of a startup. Especially 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