As a Principal Solutions Engineer at Scale, you will play a critical role in powering the next generation of AI applications across the enterprise. You will operate as a senior technical leader on the front lines, shaping how the world's most innovative companies adopt, deploy, and scale AI with Scale.
You will own technical strategy and execution for the company's most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the 'technical win'. You will serve as a trusted advisor to executive stakeholders, guiding long-term AI/LLM adoption strategies.
Key responsibilities include:
- Architecting and leading end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
- Driving cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
- Defining and shaping large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
- Leading high-impact customer engagements, including executive presentations, technical deep dives, and workshops
Ideal candidates will have a deep technical background with significant experience in customer-facing engineering roles at enterprise scale. They will have a proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises.
Additionally, they will have 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, and the ability to prototype and validate solutions when needed.
Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility, is also essential. Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams is required.
Exceptional communication skills, with the ability to translate between business, product, and technical audiences, are necessary. A high degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments is also expected.
Nice to have qualifications include deep experience with Generative AI/LLM applications in enterprise environments, background in forward-deployed engineering or building production-grade ML systems, and experience in regulated industries such as financial services, insurance, or healthcare.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. 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.
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