Enterprise Technical Architect

Nebius Inc.
Center Township, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 280K

Job location

Remote
Center Township, United States of America

Tech stack

API
Artificial Intelligence
Data analysis
Computing Platforms
Systems Engineering
Big Data
Business Systems
Software as a Service
Cloud Computing
Distributed Systems
Middleware
Automation of Marketing
Salesforce
Software Deployment
Systems Integration
Enterprise Software Applications
Large Language Models
Snowflake
Multi-Agent Systems
Zapier
Technical Debt
Event Driven Architecture
AI Platforms
Information Technology
Service Stack

Job description

The Enterprise Technical Architect will lead the architecture strategy for GTM systems, focusing on CRM, AI integration, and enterprise platforms. Responsibilities include designing scalable architectures, defining integration strategies, and ensuring system governance and modernization., We are looking for an Enterprise Technical Architect to lead the long-term architecture strategy for Nebius' Go-To-Market systems ecosystem.

This role will define the technical roadmap across CRM and adjacent business platforms, drive enterprise integration strategy, and lead AI-enabled transformation initiatives across Sales, Marketing, Customer Success, Sales Operations, and Commercial Operations.

You will operate as a senior technical leader across business systems architecture, balancing strategic vision with hands-on technical depth. This role requires strong enterprise architecture expertise, executive communication skills, and experience building scalable and intelligent business platforms in fast-growing environments.

Your responsibilities will include

  • Define and evolve the long-term architecture strategy for GTM systems and enterprise business platforms

  • Design scalable architectures across CRM, CPQ, CLM, billing, support, customer success, analytics, and automation ecosystems

  • Own enterprise integration patterns between Salesforce and internal/external platforms.

  • Establish architecture standards, governance frameworks, and platform best practices

  • Lead AI and agentic systems strategy across GTM workflows and business operations.

  • Evaluate and implement AI-native workflows, automation agents, and intelligent orchestration capabilities.

  • Partner closely with Engineering, Security, Data, and Enterprise Applications teams on APIs, middleware, and event-driven architectures

  • Drive technical modernization and platform consolidation initiatives

  • Provide technical oversight for large-scale systems transformation programs

  • Mentor senior administrators, developers, and systems engineers

  • Reduce technical debt and improve scalability, reliability, and maintainability across business systems

  • Support vendor evaluations and build-vs-buy technical assessments, Responsible for the design and implementation of enterprise AI solutions, leading teams and collaborating with stakeholders to drive AI transformation in global operations. Top Skills: Anthropic ClaudeCi/CdDockerGoogle GeminiKubernetesLangchainMicrosoft Copilot StudioOpenaiPythonPyTorchScikit-LearnSemantic KernelTensorFlow, Enverus, As a Principal Software Engineer, lead the design and implementation of features, mentor engineers, and ensure high software quality and performance across the PET product suite.

Requirements

  • 12+ years of experience in enterprise systems architecture, CRM platforms, or GTM technology ecosystems

  • Deep expertise with Salesforce architecture and enterprise platform design

  • Strong experience with APIs, integrations, middleware, and distributed systems

  • Experience leading enterprise-scale transformation initiatives

  • Strong understanding of modern GTM technology stacks including CRM, CPQ, CLM, customer systems, analytics, and automation platforms

  • Experience implementing AI-enabled workflows, intelligent automation, or agentic systems

  • Strong communication and stakeholder management skills.

  • Ability to operate strategically while remaining technically hands-on when needed

  • Salesforce Architect certifications (Application, System, or Technical Architect)

  • Experience with AI platforms, LLM orchestration, or enterprise AI governance

  • Experience in SaaS, cloud infrastructure, or AI-native technology environments

  • Familiarity with platforms such as Workato, Zapier, Snowflake, dbt, or similar ecosystems

  • Experience building governance frameworks for enterprise business systems, Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

Benefits & conditions

Key employee benefits in the US:

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan: Up to 4% company match with immediate vesting.
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement: Up to $85/month for mobile and internet.
  • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage., We offer competitive salaries, ranging from $195,000-$280,000 OTE based on your experience., We offer competitive compensation packages based on experience. Compensation Range $195,000-$280,000 USD

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and work-life balance
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI, 26 Minutes Ago In-Office or Remote United States 170K-200K Annually Mid level 170K-200K Annually Mid level Big Data * Information Technology * Software * Analytics * Energy The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes. Top Skills: PythonSQL

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

About the company

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

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