Senior AI Product Manager (Agent Platform)
New
J
JobgetherEnterprise AI
Based in the United StatesFull-TimeSenior
Salary$125,300–$154,100
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Job Details
- Required Skills
- Product ManagementRESTful APIsJSONGenerative AI
Requirements
- Significant product management experience.
- Demonstrated ownership of a platform, developer tools, APIs, infrastructure, or shared services used by multiple teams.
- Strong understanding of applied generative AI, agentic systems, large language models, retrieval and grounding techniques, tool use, and orchestration.
- Ability to drive platform adoption and improve builder or developer journeys.
- Ability to create documentation, onboarding materials, quick-start guides, and reusable implementation patterns.
- Understanding of enterprise security controls, including authentication, identity management, least-privilege access, audit logging, and risk tiering.
- Ability to configure systems, work with APIs and AI-assisted tools, and interpret execution logs and traces.
- Familiarity with Markdown, JSON, and YAML.
- Bachelor's degree in marketing, business, or a related field, or equivalent practical experience.
- Preferred: experience with AI agent platforms, model gateways, integration gateways, or the Model Context Protocol (MCP).
- Preferred: experience with platform transitions to external customers or partners, AI governance, model risk, agent registries, responsible AI programs, or low-code/no-code tools.
Responsibilities
- Own the platform adoption lifecycle, develop onboarding strategies, recruit pilot teams, and turn successful implementations into reusable reference solutions.
- Manage the end-to-end builder journey and improve self-service capabilities, documentation, quick-start guides, and reference patterns.
- Manage incoming platform requirements and maintain a roadmap for agent registration, model routing, identity management, logging, and governed access.
- Collaborate with security, infrastructure, risk, and compliance teams to incorporate enterprise controls into standard development workflows.
- Lead alpha, beta, and general availability releases for platform components and coordinate delivery across products and technical teams.
- Define and monitor success metrics, including production use cases, time to value, recurring usage, adoption rates, and business outcomes.
- Align engineering, security, infrastructure, risk, compliance, and business stakeholders on priorities and technical challenges.
- Establish repeatable product patterns and governed workflows for secure, consistent AI agent development and deployment.
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