
501 - 1000 funcionários
Fundada em 2015
🤖 Inteligência Artificial
🚀 Aeroespacial
🎖️ Defesa
Artificial Intelligence • Aerospace • Defense
A Shield AI é uma das principais desenvolvedoras de soluções militares impulsionadas por IA, focada em aprimorar a autonomia das missões e a consciência situacional no campo de batalha. Sua plataforma, Hivemind, permite a rápida implantação de sistemas inteligentes para diversas aplicações de defesa, incluindo operação de drones e vigilância. Com um compromisso em utilizar tecnologia avançada, a Shield AI visa proteger membros do serviço e civis, revolucionando tecnologias de defesa por meio de sistemas autônomos.
🕒 Julho 20
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $280.000 - $420.000 / ano
⏰ Tempo Integral
🔴 Especialista
🤖 Inteligência Artificial
👻 Score fantasma 4%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

501 - 1000 funcionários
Fundada em 2015
🤖 Inteligência Artificial
🚀 Aeroespacial
🎖️ Defesa
Artificial Intelligence • Aerospace • Defense
A Shield AI é uma das principais desenvolvedoras de soluções militares impulsionadas por IA, focada em aprimorar a autonomia das missões e a consciência situacional no campo de batalha. Sua plataforma, Hivemind, permite a rápida implantação de sistemas inteligentes para diversas aplicações de defesa, incluindo operação de drones e vigilância. Com um compromisso em utilizar tecnologia avançada, a Shield AI visa proteger membros do serviço e civis, revolucionando tecnologias de defesa por meio de sistemas autônomos.
• Own the single demand pipeline across Workplace AI: intake, shaping, prioritization, buy/build recommendation, rollout, adoption, and value measurement. • Partner directly with business leaders, including senior executives, to surface needs, pressure-test requests, and distinguish real opportunities from low-value noise. • Translate ambiguous business problems into clear requirements, decision-ready use cases, and a prioritized portfolio of AI opportunities. • Identify where AI can create the most leverage, whether through productivity, cycle-time reduction, quality improvement, risk reduction, or better decision support. • Lead build-versus-buy decisions, including market scans, vendor evaluation, recommendation development, and ownership of purchased-solution rollout. • Establish baselines, define success metrics, and build the ROI cases that show whether a solution is working after deployment. • Own adoption as seriously as selection: partner with the business on training, behavior change, communications, and local champion models so tools actually stick. • Serve as the senior business-facing counterpart to the VP, integrating business pull and technical push into one clear prioritization and operating rhythm. • Build, lead, and develop a team responsible for demand shaping, triage, and business-facing execution, establishing standards and processes that scale as the function matures. • Prepare decision memos, frame tradeoffs, and resolve most prioritization questions before they reach the VP. • Act as the trusted AI advisor to non-engineering leaders, communicating in the language of outcomes, constraints, and business value. • Own the strategic roadmap and budget for the demand-to-value function, aligning it to enterprise priorities over multi-quarter horizons.
• 15+ years in business transformation, product, strategy, operations, enterprise technology, or related leadership roles. • 5+ years leading cross-functional programs or transformations that required influencing senior stakeholders and driving behavior change, including direct people-management experience. • Substantive technical fluency in modern AI and generative AI — including how models are trained, tuned, and evaluated, and where their practical limitations sit — sufficient to assess vendor claims critically, shape technically realistic use cases, and hold a credible technical conversation with engineering counterparts. • Demonstrated ability to distinguish generative AI from traditional ML in terms of technical risk, skill requirements, cost, and timeline, and to apply that distinction to prioritization and staffing decisions. • Proven track record translating business needs into deployed technology solutions with measurable business impact. • Strong judgment on build versus buy decisions, including vendor evaluation, external market scanning, and procurement partnership. • Experience defining baselines, KPIs, and ROI frameworks for new tools, workflows, or transformation efforts. • Exceptional executive communication skills, especially with non-technical leaders and sponsors. • Proven track record building, leading, and developing high-performing teams, including hiring and mentoring talent. • Strong operator instincts: comfortable with ambiguity, able to create structure where little exists, and willing to own outcomes rather than hand off work.
• Pay within range listed + Bonus + Benefits + Equity • Temporary benefits package (applicable after 60 days of employment)
Candidatar-se🕒 Julho 17
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