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Salary: USD 212,000 - 265,000 / annual
Scale is seeking a Solutions Engineering Lead for Consumer to manage and grow a team of 3–5 Solutions Engineers while personally owning strategic consumer accounts. You'll be a player-coach, setting the technical bar for how Scale designs solutions at consumer scale, building reusable playbooks and reference architectures, and serving as the domain authority on GenAI deployment in high-traffic consumer environments.
You will manage, coach, and develop your team while staying hands-on with demos, prototypes, and architecture conversations on the most strategic deals. You'll build the vertical's technical playbook—reference architectures, demo environments, evaluation frameworks, and SOW patterns—that your team and the broader GTM organization can reuse. You'll serve as the domain expert on GenAI at consumer scale, including agentic customer experience, personalization and search relevance, trust and safety, content moderation, and the latency, throughput, and cost-per-inference tradeoffs that come with millions of users.
You'll partner with Account Executives and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production deployments. You'll work with forward-deployed Software and Machine Learning Engineers to carry solutions from initial design through early implementation. You'll translate patterns across your accounts into structured, prioritized input for Product and Engineering, influencing the roadmap on behalf of the vertical.
Scale plays a vital role in developing reliable AI systems for the world's most important decisions. The company provides high-quality data and full-stack technologies powering leading AI models, helping enterprises and governments build, deploy, and oversee AI applications. Scale works with industry leaders including Meta, Ernst & Young, Mayo Clinic, Time Inc., and U.S. government agencies.
Requirements:
- 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, with real fluency in performance and cost constraints.
- Presentation skills with high technical credibility in front of both product/executive stakeholders and front-line engineers, plus 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.
