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This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

As a Senior Software Engineer, you'll scale the Scale Generative AI Platform, owning product areas, working across multiple tech stacks, and solving engineering challenges.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Own the strategy and roadmap for Scale’s enterprise core AI platform, including developer experience, deployment, runtime, security, observability, and customer capabilities. Lead cross-functional alignment with engineering, forward-deployed teams, customers, and business leaders. Define requirements, prioritize investments, measure adoption and outcomes, and productize reusable customer solutions. Build, manage, and coach a high-performing product management team while remaining hands-on with critical product decisions.

Lead initiatives to drive revenue and growth in Generative AI, collaborating with teams and developing strategies aligned with market needs.

Leads and develops a team of Solutions Engineers while personally managing technical wins for strategic consumer accounts. Builds reusable architectures, demos, evaluation frameworks, and sales playbooks for GenAI solutions at consumer scale. Partners with Sales, Product, and Engineering on account strategy, pilots, implementations, and roadmap feedback. Requires strong customer-facing engineering experience, technical leadership, and expertise in high-scale consumer systems, with GenAI or applied machine learning experience preferred.

Lead and grow the enterprise product design team: set design direction, hire and develop designers, drive end-to-end design execution, raise craft standards, contribute to the design system, root decisions in user research, and define human-agent interaction patterns for AI workflows.

Lead Scale’s Connectivity engineering team, owning architecture, strategy, and development of API integrations, distributed systems, and data-platform capabilities. Build and ship end-to-end product features, collaborate with internal and external stakeholders, manage the full product lifecycle, and deliver high-quality experiments rapidly. The role also includes mentoring engineers, influencing team culture and processes, and translating business and product ideas into scalable engineering solutions.

Leads product design for Scale’s enterprise AI data business, covering 0-to-1 initiatives and established products. Designs user flows, wireframes, mockups, prototypes, dashboards, data visualizations, editors, and forms for desktop web applications. Partners with product, engineering, data science, and operations teams; advocates for users; contributes to the design system; identifies product gaps; and drives solutions in a fast-paced, ambiguous environment.

Manage and grow a large global contributor community for Scale’s Generative AI business. Develop engagement, retention, communications, feedback, and dispute-resolution strategies; oversee community platforms, virtual events, sentiment monitoring, and contributor messaging. Use metrics and feedback to improve operations and product strategy, coordinate cross-functional stakeholders, remove blockers, and maintain cohesive communications. The role also includes managing at least one direct report and executing operational initiatives directly.