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עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

Senior Product Manager - Agentic Surfaces

monday.com

monday.com monday.com

  • תל אביב - יפו
  • LinkedIn
LinkedIn

Senior Product Manager - Agentic Surfaces

monday.com

monday.com monday.com

  • תל אביב - יפו
  • bag_icon מלאה, היברידית
  • coins_icon 30,000-45,000 ₪ (הערכה מבוססת AI)
    זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק
  • LinkedIn
LinkedIn


Description

monday.com is a global AI-driven work platform used by 250,000+ customers to run operational work, build business processes, and create custom solutions at scale. Our product has evolved into an AI Work Platform: autonomous agents are moving from experiments into how work actually gets done.

Models will keep racing. Capabilities will keep climbing. Soon, every vendor will ship agents. The question is no longer who has the cleverest model — it's who owns the moment where software meets real work and turns it into real outcomes.

Agentic Surfaces sits inside Human–Agent Collaboration — a core organization on the AI Work Platform. Our mission is to bring millions of users into the agentic world: a place where humans and agents share the same context, collaborate on the same artifacts, delegate work, review what matters, and move outcomes forward together — in the surfaces where work actually lives.

About The Role

Agents changed what's possible. The next leap is how work feels when humans and agents share a room.

Today, many teams live in two worlds: workflows with agents bolted on, and workflows without them. Our customers already run critical work on monday — that trust is the foundation. Agentic Surfaces is how we earn the next chapter: new work surfaces for human–agent collaboration, and an evolution of monday's core experiences — boards and dashboards — into the agentic era.

As Senior Product Manager for Agentic Surfaces, you'll own product strategy and execution for how humans and agents work together on the platform. You'll report to the Group Product Manager for Human–Agent Collaboration and partner tightly with Design, Engineering, and product leaders across the AI Work Platform.

You won't solve this alone. You'll work shoulder-to-shoulder with a strong group of PMs across Human–Agent Collaboration and the broader platform — each bringing depth in their domain, all rowing toward the same north star. The problems we tackle shift quickly as models, user expectations, and the competitive landscape evolve; success means collaborating openly, sharing context, and adapting the plan without ego when the answer changes.

This is a client-facing role. You'll hear how teams delegate to agents, where collaboration breaks down, and what "review" means when multiple agents contribute to the same outcome — and you'll turn that into product that ships.

Reimagine work surfaces for the agentic era

Boards and dashboards are where millions of users already do their jobs. You'll help define what they become when agents are first-class collaborators: shared context, co-editing artifacts, task delegation, feedback loops, and review — not as afterthoughts, but as part of how work gets done.

Build new collaborative surfaces

You'll shape surfaces anchored around business goals: where humans and agents coordinate, observe progress, assign and reassign work, and stay aligned on the same artifacts and outcomes. Conversation and chat matter on the platform — and other groups invest deeply there. Our focus is the work layer: the places users return to for context, control, and collaboration beyond a single thread.

Evolve the dynamic UI layer

Widgets, blocks, and composable UI are how monday adapts to every team's workflow. You'll help define the next generation of that layer — including agentic capabilities teams can compose, reuse, and trust — so agentic work scales beyond one-off demos.

Design for real collaboration mechanics

The hard problems are product and UX: How does a human delegate without losing control? How do you review work from one agent — or many? How do you surface uncertainty without killing momentum? How do you connect conversational intent to durable work on the board? How do you earn the "aha" moments that pull users from "with agents" to "without agents feels broken"?

Thrive when the problem space moves

We're building in a domain that redefines itself quarter to quarter. You'll stay curious, update your mental model as we learn, and help the group make sharp calls under ambiguity — without waiting for perfect certainty.

Move fast with product sense

We win on speed and execution: raise a hypothesis, ship the version that proves it, learn in days — not quarters. You'll operate in tight loops with design and engineering, shared outcomes and shared urgency. You're comfortable evolving mature product land when the mission demands it, and you raise flags when old patterns slow the agentic bet.

Treat context as a first-class artifact

Shared context — what the human sees, what the agent knows, what's on the board — is our edge. You'll think in terms of compounding context: captured, queryable, and useful across sessions, handoffs, and reviews.

Partner across the platform

 Agentic Surfaces intersects communication, layout, workspaces, docs, blocks, and more. You'll align with peer PM groups, influence without authority, and treat shared land as a feature — not a coordination tax.

Requirements

  • 5+ years in product management, shipping user-facing products end-to-end.
  • Strong product sense and UX orientation — you think in journeys, moments, and outcomes, not feature lists.
  • AI product experience — you've shipped or significantly shaped products powered by ML/LLMs, or you've been deep in AI-native workflows long enough to know what breaks in production.
  • You work frequently with agents — you use AI agents and tools in your own workflow; you have informed opinions on delegation, review, and where autonomy helps vs. hurts. (Deep LLM/agent PM experience is a plus, not a gate.)
  • Collaborative PM — you've shipped alongside other PMs on interconnected problems; you share context, divide ownership cleanly, and align without needing a single hero PM.
  • Comfort with a moving target — you've delivered in spaces where requirements, technology, or user behavior shifted mid-flight — and you stayed constructive, not brittle.
  • 0→1 and evolution at scale — you've taken ambiguous problem spaces from insight to shipped product, including evolving mature surfaces without breaking what millions rely on.
  • Customer-facing grit — you're energized by live customer conversations, enterprise nuance, and turning objections into roadmap.
  • Cross-functional leadership — you partner deeply with design and engineering, and you communicate clearly to leadership and peer PMs.
  • Data-informed, experience-obsessed — you care how the product feels , not only how it's used; you combine qual, quant, and instinct under ambiguity.
  • Bold and adaptable — you make calls with ~70% of the information, course-correct quickly, and don't cling to past decisions when users or reality say pivot.

Nice to have

  • Experience with platform or builder products (widgets, blocks, configurable UI, dynamic layouts).
  • Background in collaboration, work management, or operational software.
  • Familiarity with multi-agent or human-in-the-loop patterns (review queues, approvals, oversight UX).
  • Technical depth (CS or equivalent) — enough to go deep with engineers on client architecture and dynamic UI.
  • Exposure to evals, agent quality, or reliability framing for non-deterministic systems.

Why this role matters

More than 250,000 customers already run critical work on monday. Agentic Surfaces is how we open the next chapter — for them and for new markets — by making agentic collaboration genuinely better, not merely available.

The industry is converging on the same insight: the artifact where work happens becomes the interface for directing, observing, and coordinating agents. We're building that layer on the platform where work already lives — with the context, governance, and scale enterprise teams expect.

You'll help define how millions of users transition into a world where humans and agents share one platform, one context, and one definition of "done" — alongside PMs who care as much about getting the hard parts right as you do.

If you want a narrow feature lane with a playbook already written — this isn't it.

If you want to shape how the world works with agents on the surface where it actually happens — let's talk.


במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

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