
201 - 500 funcionários
Fundada em 2013
🤖 Inteligência Artificial
🏢 Corporativo
☁️ SaaS
💰 Series F em 2022-06
Artificial Intelligence • Enterprise • SaaS
A Domino Data Lab é uma empresa que capacita empresas impulsionadas por IA a construir e gerenciar IA em escala por meio de sua Plataforma de IA Empresarial. A plataforma oferece uma experiência integrada para desenvolvimento de modelos, MLOps, colaboração e governança, permitindo que empresas globais inovem em diversos setores. A Domino apoia o melhor desenvolvimento de medicamentos, agricultura produtiva e criação de produtos competitivos. Estabelecida em 2013 e apoiada por investidores notáveis como a Sequoia Capital e NVIDIA, a Domino permite que as empresas otimizem o uso da IA de forma eficaz.
🕒 Julho 21
🗽 New York – Remoto
💵 $180.000 - $220.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
👔 Gerente
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

201 - 500 funcionários
Fundada em 2013
🤖 Inteligência Artificial
🏢 Corporativo
☁️ SaaS
💰 Series F em 2022-06
Artificial Intelligence • Enterprise • SaaS
A Domino Data Lab é uma empresa que capacita empresas impulsionadas por IA a construir e gerenciar IA em escala por meio de sua Plataforma de IA Empresarial. A plataforma oferece uma experiência integrada para desenvolvimento de modelos, MLOps, colaboração e governança, permitindo que empresas globais inovem em diversos setores. A Domino apoia o melhor desenvolvimento de medicamentos, agricultura produtiva e criação de produtos competitivos. Estabelecida em 2013 e apoiada por investidores notáveis como a Sequoia Capital e NVIDIA, a Domino permite que as empresas otimizem o uso da IA de forma eficaz.
• Own the customer program end-to-end: from contract signature through expansion. You're accountable for outcomes, not activities, and every engagement you lead has a single owner (you), clear milestones, and a cadence that keeps everyone (internally and externally) moving as the program manager. • Partner with account team to ensure every engagement is scoped to be delivered with excellence, bridging what is sold with what can be executed. • Direct the delivery pod (our Forward Deployed Engineers and Integration & Architecture teams) for customer engagements. Put capacity where it creates the most value and keep programs on track across milestones, stakeholder communication, and account health. • Earn trust at every level: from C-suite sponsors to the data scientists running models in production. You close the gap between strategic intent and day-to-day delivery. • Lead the room in solutioning conversations: connect how Domino builds, scales, and governs AI to the outcomes customer leadership actually cares about. You operate as a peer, not a vendor. • Make adoption real: drive rollout, enablement, and change management so what your team ships gets used, not shelved. • Turn customer engagements into growth in partnership with customer success and sales — proactively uncovering new use cases and expansion opportunities, qualifying them, and routing them back to internal teams to fuel pipeline. • Be the customer's voice inside Domino: convert field intelligence into product feedback, escalations, and commercial signals that make the broader team smarter.
• 3–5 years in an enterprise customer-facing discipline: implementations, consulting, technical program management, or product. Caliber and complexity matter more than the title. • Background in life sciences where reproducibility, auditability, and compliance are non-negotiable is a meaningful advantage. • You move before the problem is fully formed: comfortable when the customer can't yet articulate what's wrong and treating ambiguity as the starting point. • You turn unstructured executive conversations into executable plans: connecting model development, deployment, and governance without losing what actually matters. • You know enough about how enterprise data science teams build, scale, and govern models to ask the right questions before the customer knows they need to answer them. • Real delivery ownership across full cycles, not coordination. You hold an execution rhythm, hold a position when things get hard, and don't create bureaucracy to do it. • Technically fluent across software architecture, predictive modeling, and agentic systems: able to get hands-on when it matters and learn new domains fast. • Solutions-oriented by default. You escalate with a recommendation, not just a problem, and reach for AI to do all of it faster and better.
• equity • company bonus or sales commissions/bonuses • 401(k) plan • medical, dental, and vision benefits • wellness stipends
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