OKX

3 months ago

Senior Product Manager, Conversational AI Chatbot & Agent Quality

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the end-to-end product strategy and execution for AI agent infrastructure that powers internal AI product teams. Own vision, roadmap, and success metrics for foundational platforms enabling data pipelines, agent evaluation, workflow orchestration, and tool ecosystems. Collaborate with engineering, AI/ML research, and business stakeholders to translate complex capabilities into shippable features that scale agent development, testing, and deployment.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Own the end-to-end product lifecycle for AI agent infrastructure: from problem discovery and requirement definition, through development and launch, to post-launch iteration
•Define product vision, strategy, and roadmap for infrastructure that serves internal AI product teams as primary customers
•Partner closely with engineering, AI/ML research, and business stakeholders to translate complex technical capabilities into well-scoped, shippable product requirements
•Establish evaluation frameworks and quality metrics that drive continuous improvement of agent performance, reliability, and safety
•Build feedback loops connecting production signals (user ratings, task success/failure, escalations) back into model and data improvement pipelines

Pay and Benefits

Perks:Health InsuranceMeal AllowancesLearning BudgetWellness Stipend

Key Requirements

•5+ years of product management experience, with at least 2 years focused on AI/ML products or developer infrastructure
•Demonstrated experience shipping AI products or platforms to production (consumer or enterprise)
•Strong technical acumen: comfortable discussing model architectures, prompt engineering, API design, and system trade-offs with engineers
•Solid understanding of the AI agent development lifecycle: from data collection and annotation, through model training and evaluation, to production deployment and monitoring
•Data-driven mindset with experience defining KPIs, running experiments, and making decisions under uncertainty

Experience:5+ yearsAIMLDeveloper toolsData infrastructure

Skills:CommunicationLeadershipProblem-solving

Languages:English

Company Brief

OKX

Global cryptocurrency exchange and Web3 technology provider offering spot and derivatives trading, custody, wallet services, and blockchain infrastructure to retail and institutional users worldwide.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Victoria, Seychelles

Founded: 2017

Website LinkedIn

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OKX