Transformative Product Manager - Enterprise AI/ML Platforms

Join the forefront of innovation and be part of a dynamic team that's revolutionizing the way we approach Enterprise AI/ML Platforms. As a Product Manager at American Express, you will have the unique opportunity to lead the development and implementation of cutting-edge AI and ML solutions that drive business growth and customer satisfaction. With a competitive compensation package and a salary range of $90,000 to $165,000 annually, plus bonus and benefits, you'll be rewarded for your contributions and have the support you need to thrive.

We're looking for a highly motivated and experienced Product Manager to join our team, with a strong background in AI, ML, and data science. You will be responsible for designing, developing, and deploying scalable machine learning models on hybrid cloud environments, ensuring seamless integration with business processes. Your expertise in both data science and advanced computing methods for modeling will enable us to accelerate model development life cycle and optimize compute resource utilization.

Key Responsibilities:

• Lead the development and implementation of AI and ML solutions, leveraging expertise in machine learning, deep learning, natural language processing, and generative AI.
• Collaborate with cross-functional teams, including stakeholders, product managers, engineers, and analysts to integrate data insights into business strategies and inform product roadmaps.
• Develop and deploy scalable data pipelines and modeling solutions using cloud-based technologies and programming languages like Python, BigQuery, and Spark.
• Lead innovation through external perspective, researching emerging trends and advancements in machine learning, deep learning, NLP, and generative AI, and applying this knowledge to solve complex problems.
• Communicate insights effectively to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations.
• Mentor junior team members, guiding them on project execution, best practices, and professional development.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related field.
• At least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environments.
• Strong programming skills in at least one language (Python, SQL, Spark, C++).
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent written and verbal communication skills.
• Ability to collaborate effectively across functions and levels.
• Strong problem-solving skills, with attention to detail and analytical rigor.

Preferred Qualifications:

• Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related field.
• 5+ years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environments.
• In-depth knowledge of deep learning techniques (CNNs, RNNs, Transformers), NLP concepts and tools, generative AI models, and cloud platforms (AWS, GCP, Azure).
• Proficiency in multiple programming languages (including Python, SQL, Spark, C++, CUDA) and familiarity with containerization (Docker) and orchestration (Kubernetes).

What We Offer:

• Competitive base salaries and bonus incentives.
• 6% Company Match on retirement savings plan.
• Free financial coaching and financial well-being support.
• Comprehensive medical, dental, vision, life insurance, and disability benefits.
• Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need.
• 20+ weeks paid parental leave for all parents, regardless of gender.
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location).
• Free and confidential counseling support through our Healthy Minds program.
• Career development and training opportunities.

Apply Now and join our team of innovators who are shaping the future of Enterprise AI/ML Platforms.