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.
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:
- 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.
- 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.
- 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.
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.
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.