Senior Data Platform Product Manager - AI & MLOps

Jobtailor

Colorado

On-site

USD 180,000 - 230,000

Full time

3 days ago
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Job summary

Jobtailor is seeking a senior product leader to shape the data platform strategy across onboarding, storage, and core services, partnering with data and engineering teams to deliver scalable analytics and AI capabilities. You will own the platform's resiliency, disaster recovery, and operational readiness, and collaborate on model lifecycle management and MLOps to drive enterprise-wide impact.

This role demands deep cloud experience (Databricks, Snowflake, AWS/Azure/GCP) and a proven ability to

Qualifications

  • 7+ years of product management or related roles.
  • Strong understanding of cloud-native architectures and enterprise platforms.
  • Experience with Databricks, Snowflake, or similar data platforms.
  • Experience with SDLC, Agile, and DevOps practices.
  • Ability to align software, data, and platform teams with business goals.

Responsibilities

  • Drive product strategy and roadmap for data platform capabilities.
  • Lead cross-functional teams delivering scalable analytics and AI solutions.
  • Partner with stakeholders to define requirements for data platform capabilities.
  • Own product vision for platform resiliency, disaster recovery, and operational readiness.
  • Collaborate with engineering to evolve ML/AI platform capabilities including MLOps.

Skills

Product Management
Cloud-Native Architectures
Data Engineering
Machine Learning Operations
Stakeholder Management
Cross-functional Leadership
SDLC Methodologies
Agile
DevOps Practices

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field
Advanced degree preferred

Tools

Databricks
Snowflake
AWS
Azure
Google Cloud Platform
Delta Lake
MLflow
Databricks SQL

Job description

Jobtailor is seeking a senior product leader to shape the data platform strategy across onboarding, storage, and core services, partnering with data and engineering teams to deliver scalable analytics and AI capabilities. You will own the platform's resiliency, disaster recovery, and operational readiness, and collaborate on model lifecycle management and MLOps to drive enterprise-wide impact.

This role demands deep cloud experience (Databricks, Snowflake, AWS/Azure/GCP) and a proven ability to

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