
501 - 1000 employees
Founded 2015
🤖 Artificial Intelligence
🚀 Aerospace
Artificial Intelligence • Aerospace • Defense
Shield AI is a leading developer of AI-driven military solutions, focusing on enhancing mission autonomy and battlefield awareness. Their platform, Hivemind, enables rapid deployment of intelligent systems for various defense applications, including drone operation and surveillance. With a commitment to utilizing advanced technology, Shield AI aims to protect service members and civilians by revolutionizing defense technologies through autonomous systems.
🔥 16 hours ago
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501 - 1000 employees
Founded 2015
🤖 Artificial Intelligence
🚀 Aerospace
Artificial Intelligence • Aerospace • Defense
Shield AI is a leading developer of AI-driven military solutions, focusing on enhancing mission autonomy and battlefield awareness. Their platform, Hivemind, enables rapid deployment of intelligent systems for various defense applications, including drone operation and surveillance. With a commitment to utilizing advanced technology, Shield AI aims to protect service members and civilians by revolutionizing defense technologies through autonomous systems.
• 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)
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