Senior Manager, Software Engineering – AI

🕒 Junho 12

⛷️ Utah – Remoto

⛷️ Utah – Remote

💵 $190.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 45%

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NetDocuments

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1998

🤝 B2B

⚖️ Jurídico

☁️ SaaS

B2B • Legal • SaaS

NetDocuments é uma plataforma de gestão de documentos baseada em nuvem, projetada especificamente para a indústria legal. A plataforma visa ajudar os profissionais do direito a organizarem, gerenciarem e colaborarem em documentos de forma segura, aproveitando tecnologias avançadas como IA e automação para melhorar fluxos de trabalho e produtividade. Com integrações no Microsoft 365 e várias aplicações legais, a NetDocuments permite que escritórios de advocacia e departamentos jurídicos corporativos melhorem a eficiência e a prestação de serviços, garantindo a conformidade e a segurança das informações dos clientes.

Descrição

• Shape and execute the long-term engineering strategy for the AI Search platform • Drive embedding model quality, indexing pipeline reliability, and semantic relevance across verticals • Collaborate with Product, Architecture, and vertical engineering teams to translate customer needs into scalable, production-ready search capabilities • Build and maintain a roadmap balancing model improvements, indexing infrastructure, and cross-team commitments • Oversee delivery execution across multiple teams and ensure high-quality, on-time releases • Manage and mentor engineers and technical staff • Guide hiring, performance management, and career development • Partner with product and engineering teams on domain-specific search requirements • Serve as the technical point of contact for AI Search capabilities • Present technical strategies, roadmaps, and progress to senior leadership • Drive engagement and communication across distributed teams and business units • Guide teams on embedding models, vector indexing, and semantic retrieval • Champion model lifecycle management, indexing pipeline design, relevance evaluation, and scalable architecture • Ensure solutions meet security, compliance, performance, privacy, and data residency standards • Promote responsible experimentation with emerging AI and retrieval technologies • Foster continuous learning, experimentation, collaboration, quality, innovation, and transparency • Encourage open-source contributions and knowledge sharing

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, or related field (advanced degree preferred) • 7+ years of software engineering experience, including 3+ years in engineering management roles • Demonstrated success managing multiple teams or a group of 7+ engineers and leaders • Proven ability to define and execute a technical vision in alignment with business strategy • Strong experience leading distributed, cloud-based product development (Azure or AWS) • Familiarity with machine learning model deployment and lifecycle management, particularly embedding or NLP models • Experience building or owning data pipelines at scale including indexing, transformation, or ETL workflows • Deep understanding of modern engineering practices including CI/CD, microservices, and scalable architectures • Excellent stakeholder management and executive communication skills, with experience navigating cross-team dependencies • Ability to synthesize complex technical information and present it effectively to leadership and cross-functional audiences • Hands-on experience with semantic search or dense vector retrieval including embedding model selection or hybrid search • Experience with Elasticsearch or OpenSearch • Familiarity with retrieval augmented generation (RAG) pipelines and how search quality feeds downstream LLM applications • Background in information retrieval and natural language processing • Experience adapting a shared platform capability across multiple product verticals or customer segments

🏖️ Benefícios

• 90% healthcare premiums company covered • HSA company contribution • 401K match at 4% with immediate vesting • Flexible PTO (typically 3 to 4 weeks a year) • 10 paid holidays • Monthly contributions for life activities & wellness • Access to LinkedIn Learning with monthly dedicated time to explore

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