招聘
monday.com is building the AI work platform that not only helps manage and orchestrate work, but also does the work for you. Over 250,000 customers across departments worldwide use monday.com to bring people, workflows, and AI agents together on one flexible platform, where AI doesn't just assist, it executes. From work management and CRM to service and dev, every product in our ecosystem runs on the same AI layer, automating tasks, running workflows, and helping teams deliver exponentially more with less effort.
We move fast with big impact, fueled by a vibrant, ownership-driven culture where you’re empowered to shape how organizations achieve more and outpace their competition.
Our product teams build features and architect roadmaps with a level of ownership rarely seen at our scale. You have the autonomy to navigate complex problems, moving from ideation to production at speed. Your challenge is building agentic technology and creating a bridge between AI and everyday workflows. You’ll shape the way the world works by delivering instant, autonomous impact to millions.
Developer Experience sits within Core Engineering at monday.com. Our customers are ~1,000 internal developers and builders. Our charter: enable every engineer and PM at monday to build with AI — by building the infrastructure, tools, and agent platforms they need.
You'll own the agentic and AI products for developers — setting direction, driving adoption, and iterating relentlessly based on what internal users actually need. This is not a strategy-deck role. You'll talk to developers daily, measure everything, find where things break, and fix them.
You'll work closely with engineering leadership (Director, VP-level) and drive cross-org initiatives that touch teams well beyond Core Engineering. The AI landscape shifts fast — we need someone who moves faster.
Key Responsibilities:
- Own product vision and roadmap for developer tools and AI agent infrastructure
- Drive adoption across the org: user research, metrics, breakpoint analysis, continuous iteration
- Lead cross-organizational initiatives with engineering directors and VPs
- Define and ship AI-powered developer workflows — agents, pipelines, integrations with tools like Claude and Cursor
- Set quality bars for developer tools and measure impact rigorously
- 7+ years in product management, with a Lead-level track record
- Engineering or technical background — you've written code, led a dev team, or come from a deeply technical role
- Understand repos, Git, CI/CD pipelines natively
- Real AI experience — you've worked with AI agents, LLM pipelines, or AI-powered products in practice, not just on slides
- Adoption-obsessed — you default to talking to users, measuring outcomes, and iterating. You care more about whether people
- actually use it than whether the strategy doc is polished
- Ability to operate independently and lead cross-org initiatives with senior stakeholders
- Experience in large-scale tech organizations (enterprise, cyber, or equivalent complexity) is a strong plus
- B2B SaaS or platform product background preferred
Why this role
This is arguably the best seat in the house right now. monday.com has made a strategic bet that everyone builds with AI — and Dev Ex is the team making that happen. You'll be at the frontier of AI tooling, working with the most advanced models and frameworks, and shaping how 1,000+ engineers work every day.
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关于Monday.com

Monday.com
PublicA platform built for a new way of working.
1,001-5,000
员工数
Tel Aviv
总部位置
$7.8B
企业估值
评价
4.1
10条评价
工作生活平衡
3.8
薪酬
2.7
企业文化
4.3
职业发展
3.9
管理层
3.5
78%
推荐给朋友
优点
Flexible hours and schedules
Supportive and collaborative team
Growth and advancement opportunities
缺点
Compensation not competitive
Heavy workload and overwhelming pace
Limited remote work flexibility
薪资范围
2个数据点
Junior/L3
Senior/L5
Junior/L3 · Product Manager
0份报告
$400,964
年薪总额
基本工资
-
股票
-
奖金
-
$340,819
$461,109
面试经验
2次面试
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Take-home Assignment
4
Hiring Manager Interview
5
Final Interview
常见问题
Behavioral/STAR
Technical Knowledge
Past Experience
Case Study
新闻动态
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