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DuMate策略PM(Agent评测方向)(J104381)

北京市💼 Full-time🗓 2026-08-10 → 2026-09-28

Core

Build and execute an evaluation system for long-horizon AI Agents, defining testing standards, cases, and processes to quantify strategy performance and drive product iteration.

Role type

Strategy Product Manager (Agent Evaluation)

Builds

Evaluation frameworks, testing suites, and product capabilities for long-horizon AI Agents

Domain

Artificial Intelligence / Large Language Models / Agent Systems

Deliverable

production ML models

Required skills

Strategy formulation, requirement decomposition, data-driven optimization, logical reasoning, problem analysis, cross-functional collaboration

Preferred skills

Computer Science/AI/Software Engineering/Data Science background, hands-on experience with AI/Agents/LLMs, understanding of long-horizon task pain points

Technologies

AI frameworks, Agent platforms, LLMs

Responsibilities

Design long-horizon task evaluation standards and test cases; Validate and review core skills and kits for product launch; Iterate evaluation schemes and metrics based on business scenarios; Establish SOPs for the evaluation platform to manage annotation tasks

Seniority

Mid-level, hands-on IC

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