Jobs · Engineering · California

Principal Solutions Engineer, Enterprise

Scale AI · San Francisco Bay Area · 2 wk ago
HybridEngineering$180k–$225k/yrFull-time

About the role

Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines—shaping how the world’s most innovative companies adopt, deploy, and scale AI with Scale.

Responsibilities

  • Own technical strategy and execution for the company’s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win”
  • Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
  • Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
  • Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
  • Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
  • Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
  • Influence Scale’s product roadmap by synthesizing customer insights and advocating for high-leverage feature development
  • Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
  • Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function

Requirements

  • Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
  • Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
  • Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
  • Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
  • Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
  • Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
  • Exceptional communication skills, with the ability to translate between business, product, and technical audiences
  • High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments

Nice to haves

  • Deep experience with Generative AI / LLM applications in enterprise environments
  • Background in forward-deployed engineering or building production-grade ML systems
  • Experience in regulated industries such as financial services, insurance, or healthcare

Pay

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is $180,000 - $225,000 USD.

Benefits

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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