About Nebius:
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.
The Role
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
We expect you to have
- 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
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.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- 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
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
If you need accommodations during the application process, please let us know.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
