Technical Product Manager

The AES Group • San Diego, CA

1d

About The Position

The Technical Product Manager will lead product strategy and development across AI-powered platforms, developer tools, and enterprise technology solutions. The role translates strategic technology objectives into product roadmaps, requirements, milestones, KPIs, and measurable outcomes, and guides products from early-stage incubation through adoption and organizational handoff.

The position focuses on the Office of the CTO’s agentic AI portfolio, including an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data modernization and application development. The Product Manager will shape products involving LLM-based applications, AI agents, foundation-model-based autonomy architectures, model evaluation, fine-tuning, verification, deployment, and model lifecycle tooling.

The role partners with engineering teams, operators, stakeholders, and senior leadership to discover needs, prioritize backlogs, improve platform onboarding and adoption, and evaluate emerging technologies. It also involves producing strategy documents and executive updates, recommending build/buy/partner approaches, and managing transitions from incubation to established product and engineering teams. The position requires operating effectively amid ambiguity, competing priorities, small teams, and aggressive timelines. Travel to designated locations is expected approximately 1–3 times per quarter.

Requirements

• At least 8 years of technical product management experience.
• Technical background in Computer Science, Engineering, or a related field, or equivalent experience.
• Ability to read code, work with APIs and command-line interfaces, and prototype using AI coding tools.
• Experience launching developer tools, internal platforms, or AI/ML products and driving adoption.
• Working knowledge of LLM-based systems, AI agents, model evaluation, context management, and fine-tuning.
• Strong KPI definition, product analytics, and performance measurement skills.
• Excellent written and verbal communication and executive stakeholder management skills.
• Ability to navigate ambiguity, manage competing priorities, and deliver within aggressive timelines.
• Willingness to travel to designated locations approximately 1–3 times per quarter.

Nice To Haves

• Previous software engineering experience.
• Experience in defense, aerospace, robotics, or regulated industries.
• Familiarity with CUI/ITAR requirements and restricted or disconnected deployments.
• Experience with enterprise data platforms such as Databricks and ERP integrations.
• Knowledge of safety-critical software processes, requirements traceability, verification, and validation.
• Experience taking products from concept through launch, adoption, and organizational handoff.
• Familiarity with robotics or autonomous systems.

Responsibilities

• Own product strategy, roadmaps, requirements, and success metrics across AI platforms and developer tools.
• Translate technology and CTO strategy into product specifications, milestones, exit criteria, KPIs, and measurable outcomes.
• Drive adoption of internal platforms by improving onboarding, reducing friction, instrumenting usage, tracking engagement and NPS, and supporting developer advocacy and objection handling.
• Shape product direction for LLM-powered applications, AI agents, foundation-model-based autonomy architectures, and model lifecycle tooling, including evaluation, fine-tuning, verification, and deployment.
• Gather feedback through continuous discovery with engineers, operators, stakeholders, and executives, and turn findings into prioritized backlogs.
• Prioritize competing initiatives and product improvements across small teams and aggressive timelines.
• Evaluate emerging technologies and the agentic tooling, enterprise AI platform, and foundation model ecosystem; recommend build, buy, or partner strategies to leadership.
• Prepare product briefs, strategy documents, and executive updates that support decision-making.
• Manage product transitions from incubation to established product and engineering teams or owning organizations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed