Principal Technical Product Manager (R5249)

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• 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.

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• 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.

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• 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.

#LI-KC3 #LF

Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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