Senior AI Product Manager – Agent Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the adoption lifecycle by defining onboarding pathways, recruiting pilot teams, and transforming successful pilots into reusable reference implementations.

• Evaluate adoption results and their business impact.

• Lead the complete builder journey from discovery to deployment.

• Approach documentation and self-service onboarding as integral product surfaces, aiming to minimize friction.

• Oversee platform demand while maintaining a transparent, user-facing capability roadmap.

• Manage roadmap areas that include agent registration, model routing, identity, logging, and governed access.

• Collaborate with Security, Infrastructure, Risk, and Compliance teams to integrate enterprise governance into the platform.

• Eliminate adoption barriers, ensuring that the compliant path is also the quickest route.

• Own the lifecycles of alpha, beta, and GA for platform components.

• Set release entry and exit criteria, coordinating releases across interdependent components.

• Define and monitor success metrics centered on production use cases, time-to-value, recurring usage, and overall business outcomes.

⛳️ Requirements

• A Bachelor’s degree in marketing, business, or a related field, or equivalent practical experience.

• Senior-level experience in Product Management, with a focus on owning a platform, developer tooling, API products, infrastructure, or shared services utilized by other teams.

• In-depth understanding of applied generative AI, agentic systems, LLMs, retrieval and grounding, tool usage, and orchestration.

• Proven success in driving platform adoption, managing the developer/builder experience, and producing actionable documentation, quick starts, and reference patterns.

• Strong knowledge of enterprise controls, including authentication, identity management, least-privilege access, audit logging, and risk tiering.

• Capability to configure systems, call APIs, utilize AI-assisted tools, and analyze execution logs or traces.

• Familiarity with Markdown, JSON, and YAML.

• Exceptional written and verbal communication skills, with the ability to convey complex platform concepts and influence technical, security, and executive stakeholders without direct authority.

• Experience with an AI/agent platform, model gateway, integration gateway, or tool-access protocols like MCP.

• Experience in evolving an internally-focused platform to cater to external customers or partners.

• Background in AI governance, model risk management, agent registries, or responsible AI initiatives.

• Experience in launching low-code/no-code tools alongside developer-facing capabilities.

• Experience in highly regulated sectors such as payments, fintech, or healthcare.

• Familiarity with cloud IAM, service-to-service authentication, or AI evaluation frameworks.

🏝️ Benefits

• Health, dental, and vision insurance.

• Retirement savings plan.

• Paid time off.

• Health savings account.

• Flexible spending accounts.

• Life insurance.

• Disability insurance.

• Tuition reimbursement.

• Eligibility for quarterly or annual bonuses for non-sales roles.