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Staff Product Manager- AI Platform

Jobgether · Remote
RemoteFull-timeGeneralSenior$140,000–$208,000/yr
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About the Staff Product Manager AI Platform role

Staff Product Manager AI Platform positions focus on delivering results in their domain. This page aggregates open Staff Product Manager AI Platform roles and what employers typically expect.

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Product Manager- AI Platform based in Canada.** This role offers the opportunity to define the future of enterprise AI platforms by shaping the systems that power next-generation intelligent experiences. You will own the vision, strategy, and roadmap for a foundational AI platform supporting agentic workflows, automation, and AI-driven products at scale. Working across engineering, data, security, and product teams, you will translate complex technical challenges into scalable product solutions. The position requires a strong systems mindset, deep technical judgment, and the ability to balance innovation with enterprise reliability. You will influence how AI capabilities are built, governed, evaluated, and adopted across a growing technology ecosystem. This is a high-impact opportunity for a product leader passionate about AI infrastructure, developer experience, and building trusted intelligent systems. ### Accountabilities: As a Staff Product Manager, AI Platform, you will lead the development and evolution of a shared AI platform that enables teams to build reliable, scalable, and secure AI-powered experiences. You will operate as a senior individual contributor, driving product strategy while collaborating with technical and business stakeholders to deliver enterprise-grade AI capabilities. - Own the product vision, strategy, and roadmap for an AI platform focused on reliability, safety, scalability, and measurable business outcomes. - Define how AI agents operate in production, including orchestration patterns, context management, tool usage, workflows, and execution models. - Establish scalable platform standards, including APIs, configuration frameworks, versioning strategies, and lifecycle management practices. - Partner with engineering, data, security, and product teams to make decisions around architecture, infrastructure, performance, and operational complexity. - Create adoption strategies through developer tools, shared components, documentation, and standardized workflows that enable teams to build efficiently. - Establish quality, governance, and safety frameworks including evaluation processes, monitoring, access controls, and auditability. - Shape the developer and product experience for building, testing, debugging, and managing AI-powered solutions. - Evaluate build-versus-buy decisions and guide external technology integrations through well-defined platform approaches. - Define success metrics and measure platform impact through adoption, performance, quality, reuse, and cost efficiency. - Stay informed on advancements in AI agents, orchestration frameworks, and evaluation methodologies to guide practical product decisions. ## Requirements: The ideal candidate brings extensive product leadership experience combined with strong technical understanding of AI systems, platforms, and enterprise software environments. You should be comfortable influencing cross-functional teams, defining complex platform strategies, and making decisions that balance innovation, reliability, and scalability. - 8+ years of product management experience, including significant experience building platforms, infrastructure products, or developer-facing solutions. - Strong technical foundation through engineering, computer science, or equivalent hands-on experience with complex software systems. - Deep understanding of AI-powered systems, distributed architectures, LLM-based agents, retrieval workflows, multi-step automation, and tool-based interactions. - Experience defining and scaling platform contracts, APIs, configuration models, and lifecycle management strategies. - Proven ability to introduce governance, standards, and quality frameworks while maintaining product velocity. - Strong knowledge of AI system evaluation, observability, monitoring, and regression testing practices. - Experience…

Salary estimate

$140,000 – $208,000/yr
Provided by the employer.

Skills for this role

LLMLeadershipSecurityAutomation

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About Jobgether

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