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Solutions Engineering Lead, Consumer

Scale AI•New York, NY; San Francisco, CA
Full-timeLead
👁️ 0 views•📝 0 applications•Posted 9/24/2026•Expires 10/24/2026
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Job Description

Scale plays a vital role in the development of AI applications, and consumer businesses are where those applications meet the most users, the most traffic, and the least patience for a bad experience. Retail and e-commerce, media and streaming, gaming, marketplaces, and social platforms are deploying GenAI into products used by millions of people daily, where latency, unit economics, and quality at volume decide whether a system ships or gets pulled. As Solutions Engineering Lead for Consumer, you'll be a player-coach: managing and growing a team of 3 to 5 Solutions Engineers while personally owning our most strategic consumer accounts. You'll set the technical bar for how Scale designs solutions that hold up at consumer scale, build the reusable assets and playbooks your team runs on, and be the person Sales, Product, and Engineering turn to when a deal hinges on a hard performance, cost, or quality question. You will: Manage, coach, and grow a team of 3 to 5 Solutions Engineers, setting expectations, running deal reviews, developing careers, and hiring as the vertical scales. Personally own the technical win on our most strategic consumer accounts, staying hands-on in demos, prototypes, and architecture conversations rather than managing from a distance. Build the vertical's technical playbook: reference architectures, demo environments, evaluation frameworks, and SOW patterns your team and the broader GTM org can reuse. Serve as the domain authority on GenAI at consumer scale, including agentic customer experience, personalization and search relevance, trust and safety and content moderation, and the latency, throughput, and cost-per-inference tradeoffs that come with millions of users. Partner with AEs and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production deployments. Work with forward-deployed Software and Mach

Required Skills

Go-to-Market StrategyLeadershipLearning & DevelopmentMachine LearningPresentation SkillsPythonRecruitment

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