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 ₪
As we continue to push the boundaries of AI-driven advertising, We are looking for an experienced ML product manager to join our product department and lead the evolution of our ML-based product capabilities.
In this role, youll work cross-functionally with Data Scientists, Engineers, BI, and Product peers to develop and scale ML solutions that power our DSP enhancing ad targeting, budget allocation, real-time bidding, attribution, and measurement. Youll own the roadmap and strategy for AI/ML features and help translate complex technical models into impactful business outcomes.
Responsibilities:
Own the ML Product Roadmap: Define and prioritize AI/ML initiatives that align with business goals and drive measurable impact.
Bridge Product and Data Science: Translate model concepts into product requirements and ensure smooth execution from research to production.
Drive Experimentation: Lead A/B testing efforts to validate model performance and ensure optimizations directly improve advertiser outcomes.
Define Success Metrics: Connect technical ML metrics (e.g., model accuracy, recall, latency) to business KPIs (e.g., ROAS, eCPM, LTV).
Collaborate on AI Infrastructure: Partner with Data Science and Engineering to enhance our ML pipeline efficiency, scalability, and monitoring.
Ensure Model Adoption: Work closely with client-facing teams to ensure ML-driven products are adopted and drive tangible campaign value.
Stay Ahead: Keep up with industry trends in ML, LLMs, recommendation systems, and MLOps to maintain a competitive edge.
In this role, youll work cross-functionally with Data Scientists, Engineers, BI, and Product peers to develop and scale ML solutions that power our DSP enhancing ad targeting, budget allocation, real-time bidding, attribution, and measurement. Youll own the roadmap and strategy for AI/ML features and help translate complex technical models into impactful business outcomes.
Responsibilities:
Own the ML Product Roadmap: Define and prioritize AI/ML initiatives that align with business goals and drive measurable impact.
Bridge Product and Data Science: Translate model concepts into product requirements and ensure smooth execution from research to production.
Drive Experimentation: Lead A/B testing efforts to validate model performance and ensure optimizations directly improve advertiser outcomes.
Define Success Metrics: Connect technical ML metrics (e.g., model accuracy, recall, latency) to business KPIs (e.g., ROAS, eCPM, LTV).
Collaborate on AI Infrastructure: Partner with Data Science and Engineering to enhance our ML pipeline efficiency, scalability, and monitoring.
Ensure Model Adoption: Work closely with client-facing teams to ensure ML-driven products are adopted and drive tangible campaign value.
Stay Ahead: Keep up with industry trends in ML, LLMs, recommendation systems, and MLOps to maintain a competitive edge.
Requirements:
Requirements:
5+ years of experience in product management, with at least 2 in ML/AI-heavy roles.
Hands-on experience working closely with data scientists and engineering teams on ML projects.
Strong understanding of machine learning concepts, experimentation, and the end-to-end model lifecycle.
Experience defining product KPIs and connecting model outputs to business performance.
Strong technical foundationcomfortable with data pipelines, model serving, and experimentation platforms.
Bachelor's degree in Computer Science, Engineering, or a quantitative field.
Bonus Points:
Experience in ad-tech, mar-tech, or gamingespecially in real-time bidding, user modeling, or attribution.
Familiarity with causal inference, graph-based systems, or GenAI use cases in performance marketing.
Experience in Python, SQL, or with cloud platforms (e.g., GCP, AWS).
Knowledge of feature stores, ML model monitoring, and MLOps practices.
Prior experience working in a fast-paced startup environment.
Requirements:
5+ years of experience in product management, with at least 2 in ML/AI-heavy roles.
Hands-on experience working closely with data scientists and engineering teams on ML projects.
Strong understanding of machine learning concepts, experimentation, and the end-to-end model lifecycle.
Experience defining product KPIs and connecting model outputs to business performance.
Strong technical foundationcomfortable with data pipelines, model serving, and experimentation platforms.
Bachelor's degree in Computer Science, Engineering, or a quantitative field.
Bonus Points:
Experience in ad-tech, mar-tech, or gamingespecially in real-time bidding, user modeling, or attribution.
Familiarity with causal inference, graph-based systems, or GenAI use cases in performance marketing.
Experience in Python, SQL, or with cloud platforms (e.g., GCP, AWS).
Knowledge of feature stores, ML model monitoring, and MLOps practices.
Prior experience working in a fast-paced startup environment.
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.
אונליין
ערב
4 חודשים
