Senior Product Manager - Sovereign AI
Dream SecurityTel Avivот 7 лет
AIProduct ManagementAnalyticsData PlatformEnterpriseOn-premiseKnowledge GraphsSovereign AI
Описание
Dream is building AI that nations own and control, deployed where almost no one else can operate. The role involves ingesting and structuring complex data, and driving practical actions that can impact the lives of billions of people around the world.
Responsibilities
- Own the roadmap and product decisions for a shared platform capability, such as data ingestion, retrieval, knowledge, AI-agent workflows, evaluation, or deployment readiness
- Run discovery with customers and commercial stakeholders to identify high-value workflows, obstacles to adoption, and market needs
- Translate field insight into focused product opportunities, requirements, success measures, and clear delivery decisions
- Identify which customer needs should become reusable platform capabilities, and protect the product from permanent forks
- Build and partner with engineering and research teams on scope, sequencing, technical trade-offs, and quality requirements
- Help build and improve AI-enabled product workflows, including agentic flows, evaluation harnesses, quality gates, and human\agent-in-the-loop review
- Support product outbound work: product narratives, demos, customer-facing materials, competitive positioning, and input to proposals or commercial conversations
- Help establish a repeatable operating rhythm across discovery, prioritization, roadmap communication, and post-release learning
- Ensure product decisions uphold the needs of sovereign environments: on-premise deployment, data residency, access control, auditability, and resilience
Requirements
- 7+ years of end-to-end product management experience, or equivalent scope and track record
- Experience with AI, data platforms, search/retrieval, knowledge graphs, analytics, or agentic systems
- Have practical experience building, defining, or closely partnering on agentic flows, evaluation harnesses, quality gates, or other AI-assisted product workflows
- Can turn ambiguity into clear choices, requirements, and outcomes
- Can learn a complex domain quickly and communicate effectively with both technical and non-technical stakeholders
- Exercise sound judgment with sensitive information and respect security, privacy, and data sovereignty
- Experience in intelligence, law enforcement, defense, public safety, government technology, or another highly regulated environment
- Experience with on-premise, private-cloud, or air-gapped enterprise products
Nice to have
- Experience supporting enterprise product outbound work, such as product marketing, demos, proposals, sales enablement, or partner conversations
- Familiarity with government procurement, security reviews, or long enterprise sales cycles