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.
מלאה
35,000-50,000 ₪
we are looking for a AI-Native Pod Leader.
The AI-Native Team Leader is a new kind of engineering leader at Payoneer - equal parts technical authority, people developer, and AI-first builder. Youll lead a small AI Pod that owns its problems end-to-end: from understanding the business need, through architecture and implementation, to production monitoring. There are no hand-offs, no tickets, no specs thrown over a wall. Your team builds with AI as a primary tool, ships fast, and sets the methodology for how R&D works next.
What youll do:
Lead and develop a small 3-4 engineers AI Pod, with a clear focus on their technical growth, autonomy, and delivery outcomes
Provide technical authority hands-on - code, architect, review, and ship alongside your team
Own the full delivery loop: understand the business problem, define the solution, architect it, ship it, monitor it - no one hands you a spec
Collaborate directly with Product, Design/UX, DevOps, and business stakeholders to define decision logic, risk thresholds, and success metrics - building capabilities, not features
Drive AI-native development - Claude Code, Cursor, and whatever tools give your team the most leverage; build in a day what used to take a team a week
Build the harness before you ship - evaluation frameworks, monitoring, and observability go in on day one, not after the first incident
Be accountable for overall design, architecture, code quality, and production environment across your team
Set a higher technical bar - run design reviews, champion engineering best practices, and push for continuous improvement in code quality and team craft
Define the methodology - this is early-stage work within Payoneer; you wont inherit a playbook, youll write it
The AI-Native Team Leader is a new kind of engineering leader at Payoneer - equal parts technical authority, people developer, and AI-first builder. Youll lead a small AI Pod that owns its problems end-to-end: from understanding the business need, through architecture and implementation, to production monitoring. There are no hand-offs, no tickets, no specs thrown over a wall. Your team builds with AI as a primary tool, ships fast, and sets the methodology for how R&D works next.
What youll do:
Lead and develop a small 3-4 engineers AI Pod, with a clear focus on their technical growth, autonomy, and delivery outcomes
Provide technical authority hands-on - code, architect, review, and ship alongside your team
Own the full delivery loop: understand the business problem, define the solution, architect it, ship it, monitor it - no one hands you a spec
Collaborate directly with Product, Design/UX, DevOps, and business stakeholders to define decision logic, risk thresholds, and success metrics - building capabilities, not features
Drive AI-native development - Claude Code, Cursor, and whatever tools give your team the most leverage; build in a day what used to take a team a week
Build the harness before you ship - evaluation frameworks, monitoring, and observability go in on day one, not after the first incident
Be accountable for overall design, architecture, code quality, and production environment across your team
Set a higher technical bar - run design reviews, champion engineering best practices, and push for continuous improvement in code quality and team craft
Define the methodology - this is early-stage work within Payoneer; you wont inherit a playbook, youll write it
Requirements:
5+ years as a backend or full-stack engineer with real production experience - youve watched systems run in the real world and fixed what breaks
2+ years leading engineering teams - youve grown people, driven delivery, and you know the difference between managing and developing engineers
Experience shipping production AI systems - agentic architectures, orchestration, multi-step workflows, fallback and error logic; you think in workflows, not endpoints
Real fluency with AI coding tools - not familiar with, genuinely fast with them
Strong eval instincts - you define metrics, build test sets, and dont ship until you can measure; evaluation frameworks are part of the architecture, not an afterthought
Full-stack comfort - you move from the prompt to the RAG pipeline to the orchestrator to the backend and back; you go where the right solution is
Experienced and passionate about managing and growing people - strong opinions, held loosely; you make space for different perspectives and help the people around you grow
Honest communicator - you flag problems early, give direct feedback, and say what you actually think; experienced with engineering best practices (code reviews, testing coverage, agile methodologies)
Grounded confidence - you trust your abilities, move forward with incomplete information, make a call, and own it; when youre wrong, you update and move on
5+ years as a backend or full-stack engineer with real production experience - youve watched systems run in the real world and fixed what breaks
2+ years leading engineering teams - youve grown people, driven delivery, and you know the difference between managing and developing engineers
Experience shipping production AI systems - agentic architectures, orchestration, multi-step workflows, fallback and error logic; you think in workflows, not endpoints
Real fluency with AI coding tools - not familiar with, genuinely fast with them
Strong eval instincts - you define metrics, build test sets, and dont ship until you can measure; evaluation frameworks are part of the architecture, not an afterthought
Full-stack comfort - you move from the prompt to the RAG pipeline to the orchestrator to the backend and back; you go where the right solution is
Experienced and passionate about managing and growing people - strong opinions, held loosely; you make space for different perspectives and help the people around you grow
Honest communicator - you flag problems early, give direct feedback, and say what you actually think; experienced with engineering best practices (code reviews, testing coverage, agile methodologies)
Grounded confidence - you trust your abilities, move forward with incomplete information, make a call, and own it; when youre wrong, you update and move on
This position is open to all candidates.
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.
תל אביב - יפו
