Staff Product Manager- AI Platform

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 United States.

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 working in enterprise or multi-tenant environments where security, privacy, compliance, and reliability are critical.

Strong developer empathy with experience improving adoption through tooling, documentation, and streamlined workflows.

Demonstrated ability to make complex tradeoffs involving latency, cost, quality, scalability, and reliability.

Exceptional communication and stakeholder management skills with the ability to align engineering, product, data, and business teams.

Experience with agentic AI frameworks, real-time systems, voice or streaming technologies, enterprise SaaS, or regulated industries is a plus.

Benefits:

Competitive base salary range of $140,000–$208,000 , plus bonus potential.

Fully remote work environment for eligible candidates in the United States.

Flexible paid time off policy designed to support work-life balance.

16 paid U.S. holidays, including a company winter break.

Medical, dental, and vision insurance options starting on the first day of employment.

Fertility assistance and family support benefits.

401(k) retirement plan with company match contributions.

Stock options allowing employees to participate in company success.

Paid family leave and paid medical leave programs.

Mental health and wellness support programs.

Wellness subsidy for fitness memberships and related activities.

Opportunities for professional growth, learning, and career development.

Collaborative culture focused on innovation, inclusion, and continuous improvement.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1