19 часов назад
Forward Deployed Engineer, Agentic Product Management (AI)
170 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer, Agentic Product Management (AI): Building and shipping production AI agents embedded in NetApp product functions, using LLMs, tools, retrieval, sub-agents, and integration code with an accent on reliable, auditable, and safe live workflows. Focus on designing agent architectures, evaluating non-deterministic systems, navigating security and data-owner reviews, and delivering working systems across time-boxed consulting engagements.
Location: Morrisville, North Carolina, United States; hybrid work with in-office and/or in-person expectations.
Salary: $170,000–$220,000 USD per year, with a comprehensive benefits package.
Company
provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise workloads and AI.
What you will do
- Embed with product organization functions such as product operations, program management, UX design, and product management to understand real workflows and build relationships with function leaders and operators.
- Scope technical solutions, define architectures, and determine where AI agents can reduce toil while keeping human judgment and accountability in the loop.
- Build and ship production AI agents end to end using prompts, tools, retrieval, sub-agents, and integration code connected to live systems and data.
- Create evaluations, golden sets, and regression checks to measure the quality of non-deterministic systems and maintain auditability.
- Own reliability and safety in production, secure workflow approvals, and partner with security, IT, and data owners.
- Deliver time-boxed consulting engagements, enable handoffs, rotate across teams, and contribute reusable agent patterns and infrastructure improvements.
Requirements
- 8+ years of experience shipping production software and a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Hands-on experience with LLMs, prompt and context engineering, tool and function calling, retrieval, agent frameworks, evaluation of non-deterministic systems, and Model Context Protocol.
- Strong problem discovery, structured thinking, stakeholder management, and communication skills.
- Ability to operate in high ambiguity, explain technical limitations to non-technical stakeholders, and work across unfamiliar product functions.
- Ability to navigate security, IT, and data-owner reviews and deliver production systems through consulting-style engagements.
Nice to have
- Experience with Cursor and Claude Code.
- Strong experience with LangGraph and/or LangSmith.
- Experience with other orchestration platforms and agent frameworks.
Culture & Benefits
- Hybrid working environment focused on collaboration and connection.
- Health, life, retirement or pension, paid time off, and leave benefits, subject to regional policies.
- Performance-based incentives, employee stock purchase plans, and/or restricted stock units may be available.
- Culture emphasizes initiative, impact, ownership, flexibility, and inclusive collaboration.
Hiring process
- Applications are reviewed only through the company website.
- Some stages may use AI tools to support application evaluation and candidate selection alongside human decision-making.
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