4 часа назад
AI Product Manager II
102 100 - 153 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Manager II (LLM platforms and agentic AI): Building and managing F5's enterprise AI model ecosystem, developer-facing tooling, APIs, and token economy with an accent on secure model integration, developer enablement, and platform efficiency. Focus on designing model-onboarding pipelines, enabling multi-agent workflows, tracking usage and cost metrics, and implementing governance controls for responsible AI adoption.
Location: Seattle, United States
Annual base pay: $102,100–$153,100
Company
builds cybersecurity and application delivery solutions that help organizations create, secure, and run digital applications.
What you will do
- Own the lifecycle of internal AI models, including evaluation, onboarding, access management, and secure integration.
- Manage developer-facing AI tooling, SDKs, APIs, documentation, sample code, and onboarding resources.
- Enable engineering teams to move from prompt engineering to multi-agent workflows and agentic systems.
- Own token usage, capacity forecasting, pricing, chargeback models, and platform efficiency metrics.
- Partner with Finance, Cloud FinOps, platform engineering, systems engineering, and security teams to manage AI spend and risk.
- Prioritize the product backlog and lead Agile sprints for model hosting, API routing, token metrics, and developer enablement tools.
Requirements
- At least 3 years of Product Management experience delivering developer platforms, APIs, SaaS, or technical infrastructure.
- Strong knowledge of generative AI fundamentals, including LLMs, API integrations, context windows, token consumption, and model routing.
- Familiarity with tool-calling, agent frameworks, MCP, orchestrators, and multi-agent development.
- Analytical experience with technical metrics, usage data, cloud spend, or subscription economics.
- Excellent technical communication skills and the ability to build trust with engineering teams.
Nice to have
- Experience with developer platforms, technical documentation, or internal developer relations.
- Knowledge of cloud governance, FinOps, or API platform usage-cost management.
- Experience with LangChain, LlamaIndex, Gemini, Azure AI, or AWS Bedrock.
Culture & Benefits
- Work at the intersection of AI strategy, platform engineering, governance, and business impact.
- Help establish a secure internal AI ecosystem for responsible innovation across the company.
- Potential incentive compensation, bonus, restricted stock units, and employee benefits.
- supports a diverse workplace and provides reasonable accommodations during the application process.
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