AI Product Manager Role

GitLab is hiring a remote Senior AI Engineer.

The position is full-time and remote for EMEA.

Promote key information security practices.

Assess and report security risks.

Promote information security practices.

Identify and report security risks.

Drive PLG activation across products.

Design effective onboarding sequences.

Promote key information security practices.

Assess and report security risks.

Promote information security practices.

Identify and report security risks.

Architect the AI roadmap for GTM.

Prototype using Claude, ChatGPT, or low-code tools.

Develop business cases for acquisitions.

Lead M&A execution from sourcing to closing.

Define product vision and roadmap for Data Agent.

Own the end-to-end product lifecycle from discovery to launch.

Manage day-to-day account activities for assigned clients.

Execute defined account strategies and initiatives.

Engage a product manager to lead initiatives.

Improve customer satisfaction through product enhancements.

Manage day-to-day account activities.

Support account usage and performance analysis.

Develop systems for revenue growth.

Enhance revenue predictability through data insights.

Promote information security practices.

Lead platform configuration for digital marketing.

Manage dispute and chargeback services.

Analyze disputes and submit chargebacks.

Manage and optimize marketing technology stack.

Drive data strategy for targeted campaigns.

Manage product backlog and delivery.

Lead sprint planning and execution.

Manage the marketing technology stack effectively.

Drive optimization of marketing tools for better performance.

Manage the product backlog effectively.

Facilitate sprint planning and execution.

Drive a portfolio of work and collaborate with PMO team members.

Lead cultural change emphasizing transparency and integrity.

Promote key information security practices.

Assess and report security risks.

Drive a portfolio of projects.

Collaborate with PMO team members.

Manage and optimize marketing technology stack.

Drive continuous improvement in marketing tools.

Translate Adobe Analytics data into insights.

Lead reporting discussions and strategy.

Promote awareness of information security practices.

Ensure compliance with data privacy standards.

Translate behavioral data into insights.

Connect cross-channel marketing performance.

Drive and manage a portfolio of digital projects.

Foster collaboration within the PMO team.

Translate behavioral data into insights.

Connect cross-channel performance into reporting.

Promote awareness of information security practices.

Ensure compliance with data privacy standards.

Manage and optimize the marketing technology stack.

Develop and implement data strategy for marketing systems.

Drive a portfolio of digital projects.

Collaborate with PMO team for operational excellence.

Drive a portfolio of digital projects.

Optimize project management tools and processes.

Translate behavioral data into insights.

Connect marketing performance into unified reports.

Manage and optimize marketing technology stack.

Drive data strategy for targeted campaigns.

Manage and support product backlog delivery.

Facilitate sprint planning and execution.

Own and manage marketing technology stack.

Drive optimization of marketing tools and platforms.

Promote awareness of information security practices.

Define and execute AI-powered product capabilities.

Manage the product backlog effectively.

Facilitate agile sprint planning and execution.

Manage and support the product backlog.

Lead sprint planning and execution.

Drive a portfolio of digital projects.

Optimize project management tools and processes.

Lead a team of Operations Specialists in benefits administration.

Implement AI-driven improvements to operational processes.

Enhance People Operations workflows.

Implement automation and system enhancements.

Develop agent infrastructure for orchestration and tool execution.

Create an AI assistant that integrates with Slack and dashboards.

Build and scale AI-powered products in enterprise environments.

Drive adoption and outcomes for AI products.

Promote awareness of information security practices.

Define and execute AI-powered product capabilities.

Design and optimize AI prompts and workflows.

Streamline processes using AI to reduce manual work.

Architect the AI roadmap for GTM.

Prototype using Claude, ChatGPT, or low-code tools.

Streamline business processes through automation.

Develop data solutions for enhanced insights.

Optimize real-time speech processing for voice agents.

Implement conversation intelligence with LLMs.

Build and scale AI-powered products in enterprise environments.

Drive adoption and outcomes for AI products.