Senior Product Manager, AI & Data Platform

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Product Manager, AI & Data Platform in the United States.

In this role, you will lead the strategic development, execution, and market delivery of AI-powered products and data platforms that transform the way enterprise clients manage events and venues. You will partner closely with engineering, data science, and customer-facing teams to define product strategy, prioritize features, and oversee the lifecycle from concept to launch. By leveraging AI, machine learning, and data-driven insights, you will help create scalable, impactful solutions that enhance operational efficiency, improve user experience, and drive business growth. This is a high-visibility position with the opportunity to shape innovative AI products in a fast-paced, collaborative environment.

Accountabilities:

·         Define and own the product vision and strategy for AI and data platform initiatives.

·         Drive go-to-market strategies for AI products, including conversational AI, predictive analytics, and AI agent solutions.

·         Translate complex business and technical requirements into clear product specifications, user stories, and actionable roadmaps.

·         Prioritize the product backlog to balance platform investment with high-value, market-facing AI features.

·         Collaborate cross-functionally with engineering, data science, marketing, and customer teams to ensure impactful product delivery.

·         Define and track key performance metrics to assess adoption, user satisfaction, and commercial success.

·         Stay ahead of industry trends and emerging technologies to inform product innovation and maintain competitive advantage.

·         Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

·         5+ years of product management experience, preferably focused on AI/ML products, data platforms, or technical infrastructure.

·         Proven experience leading products from concept to successful market launch in agile environments.

·         Strong understanding of the machine learning lifecycle, including data collection, model training, deployment, and monitoring.

·         Familiarity with MLOps tools, feature stores, or large-scale data processing systems.

·         Experience with modern data stack technologies (e.g., Spark, Kafka, Kubernetes) and cloud platforms (AWS, GCP, or Azure).

·         Exceptional communication, collaboration, and leadership skills with the ability to influence cross-functional teams.

·         Ability to thrive in a fast-paced, growth-oriented environment and manage multiple priorities effectively.

·         Competitive base salary with performance-based incentives and equity opportunities.

·         Exceptional 401(k) match with up to 8K annual contribution.

·         Unlimited PTO with a recommended minimum of 15 days.

·         Paid parental leave to support work-life balance.

·         Flexible remote work arrangements with no strict dress code.

·         Wellness programs to support physical, mental, and emotional health.

·         Professional development through unlimited training and learning opportunities.

·         Collaborative and supportive team environment that encourages growth and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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