
1001 - 5000 funcionários
📚 Educação
☁️ SaaS
🤝 B2B
💰 Private Equity Round - Instructure em 2024-07
Education • SaaS • B2B
Instructure é uma empresa de tecnologia educacional que desenvolve plataformas de aprendizado e avaliação baseadas na nuvem, mais conhecida pelo Canvas LMS. Oferece um ecossistema integrado de produtos e serviços SaaS — incluindo gerenciamento de aprendizado, avaliação alinhada a padrões (Mastery), credenciamento e registros (Parchment), análises e ferramentas para educação básica (K–12), ensino superior e treinamento corporativo/governamental. A Instructure foca no sucesso dos alunos, nas integrações com parceiros e em soluções escaláveis para instituições e organizações no intuito de oferecer, avaliar e credenciar o aprendizado.
🕒 Junho 30
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🔴 Especialista
🤖 Inteligência Artificial
🦅 Patrocina Visto H1B
👻 Score fantasma 22%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
📚 Educação
☁️ SaaS
🤝 B2B
💰 Private Equity Round - Instructure em 2024-07
Education • SaaS • B2B
Instructure é uma empresa de tecnologia educacional que desenvolve plataformas de aprendizado e avaliação baseadas na nuvem, mais conhecida pelo Canvas LMS. Oferece um ecossistema integrado de produtos e serviços SaaS — incluindo gerenciamento de aprendizado, avaliação alinhada a padrões (Mastery), credenciamento e registros (Parchment), análises e ferramentas para educação básica (K–12), ensino superior e treinamento corporativo/governamental. A Instructure foca no sucesso dos alunos, nas integrações com parceiros e em soluções escaláveis para instituições e organizações no intuito de oferecer, avaliar e credenciar o aprendizado.
• Build the foundation. Stand up and run the shared AI infrastructure — integrations, data boundaries, the approved-model registry, and a standard AI stack with single sign-on and data-loss prevention that every function can build on. • Set the guardrails. Charter and run the governance council, and put in place the security, privacy, approval, and quality monitoring that let teams move fast without creating risk. • Own the roadmap. Set AI COE priorities in collaboration with other departments • Prove the impact. Define the standard metrics for cost, throughput, and quality, and report progress through the AI efficiency scorecard. • Build capability. Create centralized training libraries and enablement programs along with HR team, and build the place where teams share what works so the whole company benefits. • Lead the operating model. Run a centralized-expertise, decentralized-execution model where the Center of Excellence owns the system, functions own the outcomes • Build and grow the team. Hire, coach, and develop the Center of Excellence team, including forward-deployed AI engineers, admins etc
• 12 or more years of experience in technology, data, or product roles, including 5 or more years leading teams, with a track record of delivering measurable operational impact at scale — not just pilots. • 2 or more years working directly with AI or machine-learning systems, including hands-on familiarity with modern AI tooling, agentic systems, and large language models. • Deep understanding of the infrastructure, data, and security that production AI requires, including model registries, integrations, single sign-on, and data-loss prevention. • Strong governance instincts. You know how to set guardrails for security, privacy, and quality that speed teams up rather than slow them down. • Proven ability to influence across an organization, from individual contributors to executives, and to build coalitions in a decentralized operating model. • A bias for clear metrics and honest reporting. You measure what matters and you tell the truth about progress. • Experience building enablement and training programs that change how people actually work. • Excellent written and verbal communication skills, with the ability to make complex technical topics clear to non-technical audiences. • A bachelor's degree in computer science, engineering, data, business, or a related field, or equivalent practical experience. An advanced degree is a plus.
• Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. • Comprehensive wellness programs and mental health support • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth • The technology and tools you need to do your best work • Motivosity employee recognition program • A culture rooted in inclusivity, support, and meaningful connection
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