Technical Product Manager (AI/MLOps)

TL;DR

Technical Product Manager (AI/MLOps): Defining and prioritizing product backlog for operationalization capabilities of a Data Science Platform with an accent on deploying machine learning models on various infrastructures (Linux, K8S, AWS Sagemaker, Google Vertex AI, Azure ML, Databricks, Snowflake). Focus on understanding market needs, defining user stories, and ensuring smooth feature delivery for production-ready AI/ML applications.

Location: Remote (France, UK, Germany, Spain or Netherlands)

Company

hirify.global is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents.

What you will do

• Be the undisputed expert on product capabilities for your product area.
• Collaborate closely with the product management team to build and prioritize the backlog.
• Own the product backlog, defining and prioritizing with product stakeholders and engineering leaders.
• Define user stories and specifications.
• Create internal documentation about new features, including feature decks and internal demo videos.
• Participate in building the roadmap and collaborate with the Product Marketing team.

Requirements

• BA/BS in Computer Science, Data Science or related technical field or equivalent.
• 5 years of related work experience in software engineering teams as a product owner/manager, software engineer, or DevOps/SRE.
• Previous work in (or with) production-minded teams (IT, ITOps, DevOps, SRE).
• Proven ability to influence cross-functional teams without formal authority.
• Experience developing professional products and technologies.
• Strong interest in Data and Machine Learning.

Nice to have

• Previous experience in Data and Machine Learning.
• Knowledge of multiple functional areas such as product management, engineering, UI, sales, customer support, finance or marketing.
• Working knowledge of one or more Cloud-based machine learning platforms (Google Vertex, AWS Sagemaker, Azure ML, Databricks or Snowflake).

Culture & Benefits

• Be part of a journey to shape the ever-evolving world of AI.
• Work in a company that values innovation, collaboration, and personal growth.
• Contribute to a technology stack that reflects a commitment to quality and innovation, integrating the best of data and AI tech.
• Engage with open source communities and contribute to global tech innovators.
• Work for an equal opportunity employer.