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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. Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization.
Job Responsibility:
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 have:
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