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Scale AI

Staff Solutions Engineer, Enterprise

Scale AI · New York, NY; San Francisco, CA

Posted about 2 months ago

or apply directly on Scale AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Scale AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
192 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

As a Staff Solutions Architect at Scale, you will lead the technical execution of complex enterprise AI projects, focusing on high-value opportunities within your vertical. You will establish technical standards, mentor other architects, and maintain executive relationships while influencing product direction through your insights and methodologies. This role requires a blend of technical expertise, strategic thinking, and the ability to communicate effectively with senior stakeholders.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.

What you need

  • Deep engineering background with substantial experience in customer-facing technical roles at enterprise scale
  • Hands-on proficiency in Python or equivalent language
  • Track record owning the technical outcome on complex, multi-stakeholder deals with Fortune 500 or equivalent enterprises
  • Strong systems thinking across cloud, data, and AI/ML architecture
  • Production experience in Generative AI and LLM systems
  • Demonstrated ability to define evaluation methodology for problems without established metrics

Nice to have

  • Recognized externally in your domain: conference speaking, published technical writing, industry forums, or customer advisory participation
  • Experience with domain compliance requirements
  • Background in forward-deployed engineering or shipping production ML systems
  • Experience creating large-scale evaluation datasets alongside domain experts
  • Experience building or scaling a solutions architecture practice, playbook, or vertical from an early stage

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend

Worth weighing

  • No specific mention of remote work options
  • Role is individual contributor with mentorship responsibilities, not a management position
  • Salary range provided, but actual compensation may vary based on several factors

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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