Solutions Engineering Lead, Consumer

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 Machine Learning Engineers to carry solutions from initial design through early implementation.
• Translate patterns across your accounts into structured, prioritized input for Product and Engineering, and influence the roadmap on behalf of the vertical.

Ideally you'd have:

• A strong engineering background with significant experience in a customer-facing technical role (solutions engineering, solutions architecture, forward-deployed engineering, or technical consulting), including hands-on development in Python or similar.
• Experience leading or mentoring technical individual contributors. Formal people management is welcome, but a credible track record as a tech lead or team lead matters more than title.
• Experience with high-scale consumer-facing systems such as recommendation and personalization, search, content moderation, or conversational products, and real fluency in the performance and cost constraints that come with them.
• Presentation skills with high technical credibility in front of both product or executive stakeholders and front-line engineers, plus the intellectual curiosity, empathy, and velocity to operate in a fast-moving vertical.

Nice to haves:

• Hands-on GenAI, LLM, or applied machine learning experience, especially evaluation and quality measurement at high volume.
• Background in retail, e-commerce, media, gaming, marketplaces, or social platforms.
• Experience standing up a new vertical, practice, or team from an early stage.