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Lead the Product Growth engineering function, setting technical direction and managing full-stack engineers building user-facing experiences that improve discovery, activation, engagement, retention, and adoption. Partner with Product, Design, Data Science, Marketing, and Applied AI; establish experimentation and measurement practices; contribute to architecture and code; own initiatives end to end; and hire, coach, and develop the team.

Design Engineer responsible for creating polished product experiences across web, desktop, and mobile applications. The role combines product design and frontend engineering, including design-system development, components, tokens, documentation, AI-ready design guidelines, motion, accessibility, prototyping, and code review. The engineer will partner closely with designers and engineers to establish a high standard of frontend craft and encode design expertise for AI coding agents.

Manage day-to-day office operations, including supplies, food and beverage services, badging, employee events, facilities, vendors, equipment, laptop resets, budgets, expenses, and internal communications. The role ensures a clean, safe, welcoming, and productive onsite office environment while coordinating with employees, management, vendors, contractors, suppliers, and Finance.

Own Glean’s organic social strategy and content across LinkedIn, X, Instagram, TikTok, and YouTube. Create multimedia content, manage executive social accounts, lead live event coverage, scale employee advocacy, and develop technical social listening. Partner cross-functionally with Communications, PR, Product Marketing, Sales, and R&D while managing vendors, tracking performance, measuring pipeline influence, and protecting brand reputation.

Develop production machine learning systems for Glean’s Enterprise Brain, focusing on user understanding, task prediction, LLM workflows, personalization, reinforcement learning, ranking, and agentic systems. Build scalable evaluation and benchmarking loops, maintain ML pipelines and knowledge graphs, improve data and model quality, and collaborate cross-functionally to deliver reliable enterprise AI solutions.

Designs, builds, and operates resilient cloud infrastructure for reliable production services. Responsibilities include improving SLOs, automating deployments and operational tasks, managing incidents and on-call processes, optimizing performance and costs, implementing monitoring and alerting, supporting security and compliance, and advising on system architecture and software development.

Partners with Account Executives to help enterprise customers across Latin America evaluate Glean’s AI and search platform. Leads technical discovery, solution design, tailored demonstrations, architecture workshops, proofs of value, technical evaluations, ROI cases, and executive presentations. Explains integrations, data flows, identity, permissions, security, and architecture tradeoffs while translating technical fit into business value. Requires collaboration with Product, Engineering, and Solutions Engineering teams, plus fluent Spanish and Portuguese and professional English.

Partner with enterprise customers across Latin America throughout the sales cycle. Lead technical discovery, solution design, tailored demonstrations, architecture workshops, proofs of value, technical evaluations, and business value development. Explain AI, search, SaaS architecture, integrations, identity, security, and operational tradeoffs to technical and executive audiences. Collaborate with Account Executives, Product, Engineering, and Solutions Engineering while delivering regional demos and customer insights.

The Product Manager for Growth will define and implement strategies for product growth, user activation, and retention across multiple platforms. They will collaborate with cross-functional teams to enhance user experiences and ensure the product meets customer needs while managing metrics and experiments to guide decision-making.

Define and drive the Enterprise Intelligence product strategy and roadmap. Conduct customer research, identify enterprise intelligence use cases, and build actionable workflows, dashboards, recommendations, and proactive experiences. Partner with engineering, design, data, go-to-market, and customer-facing teams to translate ambiguous concepts into detailed product experiences with clear user flows, quality standards, and measurable outcomes. Prioritize initiatives, support customer adoption, and establish product foundations for a new enterprise intelligence category.