Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring.
Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle.
Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform.
Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration: CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance.
Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM), Real-time personalization and bidding, Audience segmentation and targeting, Predictive analytics for campaign performance.
Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time and batch model consumption.
Translate business needs into detailed product requirements, user stories, and technical specifications, and manage delivery using agile methodologies.
Drive platform adoption by evangelizing best practices in ML operations, model governance, and responsible AI.
Requirements
5+ years of product management experience, with at least 2 years in AdTech, MarTech, or digital media platforms.
Proven experience building ML platforms or infrastructure from scratch, ideally in a cloud-native environment.
Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization.
Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt.
Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision.
Benefits
Join a multicultural and inclusive team environment.
Enjoy a supportive atmosphere promoting work-life balance.
Engage in exciting national and international projects.
Hybrid work.
Your career growth is central to our mission.
Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
Training and certifications programs.
Health and life insurance.
Referral program with bonuses for talent recommendations.
Great office locations.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
MLOpsML model developmentCI/CD for MLmodel versioningmodel monitoringmodel governanceprogrammatic advertisingattribution modelingcampaign measurementmedia mix optimization
Soft skills
communicationstakeholder managementcross-functional team alignmentproduct vision definitionagile methodologies