A on-site Product Management role at Shield AI.
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Original listing text, shown exactly as published by the company.
Own product definition, roadmap, and metrics across the office of the CTO's agentic AI portfolio: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data modernization and app development.
Translate CTO strategy into crisp requirements, milestones, exit criteria, and KPIs — then hold the line on them.
Drive adoption of internal platforms: reduce onboarding friction, instrument usage, track NPS and active users, and run developer advocacy and objection handling.
Shape product direction for foundation-model based autonomy architectures and model lifecycle tooling (evaluation, fine-tuning, verification, deployment).
Run continuous discovery with engineers, operators, and executive stakeholders; turn findings into prioritized backlogs.
Prioritize ruthlessly across competing initiatives with small teams and aggressive timelines.
Analyze the agentic tooling, enterprise AI platform, and foundation model ecosystem; recommend build/buy/partner positions to leadership.
Author strategy documents, product briefs, and executive updates that drive decisions.
Manage transitions of maturing products from incubation to owning organizations.
8+ years of product management for deeply technical products; engineering or CS background.
Technical fluency: you read code, work APIs and CLIs from a terminal, and prototype with AI coding tools yourself.
Shipped developer tools, internal platforms, or AI/ML products — and drove their adoption.
Working fluency in LLM-based systems: agents, evaluation, context management, fine-tuning trade-offs.
Metrics-driven operating style: you define KPIs, instrument products, and report against thresholds and objectives.
Proven stakeholder management up to the executive level across engineering, product, and business functions.
Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply.
This role requires travel to a Shield AI location 1-3 times per quarter
Prior experience as a software engineer.
Experience in defense, aerospace, or other regulated environments (CUI/ITAR, restricted or disconnected deployments).
Experience with enterprise data platforms (e.g. Databricks) and ERP/business-system integration.
Experience with safety-critical or assurance-driven software processes (requirements traceability, V&V, certification artifacts).
Experience taking zero-to-one internal products through incubation, adoption, and handoff.
Experience with robotics or autonomy products.
Shield AI
Product Management
306 open roles on Sydicom
Shield AI, Inc. is an American aerospace and defense technology company based in San Diego, California, United States. It develops artificial intelligence-powered fighter pilots, drones, and technology for defense operations. Its clients include the United States Special Operations Command, US Air Force, US Marine Corps, US Navy and several international militaries. The company’s small-unmanned aircraft system (sUAS) Nova became the first AI-powered drone to be deployed for defense purposes in US military history.
Source: Wikipedia
