Principal Technical Product Manager - R5249

Job Description:

What you'll do:

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.

Required qualifications:

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.
Exceptional written communication — requirements, strategy docs, executive briefs.
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

Preferred qualifications:

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.