Job
Description
As a Product Manager at Amex GBT, you will have the opportunity to define and execute the product roadmap for Machine Learning-powered features. Your collaboration with the Engineering Manager and the Machine Learning Engineers will be crucial in developing and deploying machine learning models into production. Prioritizing Machine Learning initiatives based on impact, feasibility, and alignment with user needs and company strategy will be a key responsibility. You will need to translate complex Machine Learning concepts into business-friendly language to effectively communicate with stakeholders. Additionally, defining key success metrics for Machine Learning models and tracking their performance over time in collaboration with the team will be essential. Gathering user feedback and analyzing market trends to inform future Machine Learning-driven features will also be part of your role. Key Responsibilities: - Define and execute the product roadmap for Machine Learning-powered features, ensuring alignment with business goals. - Collaborate with the Engineering Manager and the Machine Learning Engineers to develop and deploy machine learning models into production. - Prioritize Machine Learning initiatives based on impact, feasibility, and alignment with user needs and company strategy. - Translate complex Machine Learning concepts into business-friendly language to effectively communicate with stakeholders. - Define key success metrics for Machine Learning models and track their performance over time in collaboration with the team. - Gather user feedback and analyze market trends to inform future Machine Learning-driven features. Qualifications Required: - Bachelor's degree or equivalent with at least 2+ years of experience. - Solid understanding of Machine Learning fundamentals, including model lifecycle, data quality, and performance metrics. - Experience collaborating with data scientists and engineers to bring Machine Learning models from concept to production. - Knowledge of emerging concepts like Machine Learning and predictive analytics. - Strong communication skills to convey complex concepts to technical and business teams, peers, and leadership. - Data-driven approach by understanding key performance indicators and the importance of metrics in defining success. - Demonstrated ability to lead a cross-functional engineering team in collaboration with the Engineering Manager. - Influencing skills, including experience working within a large matrix organization. - Experience working in an agile environment, managing backlogs, and prioritizing using data. - Knowledge of the business travel domain is appreciated. In addition to the exciting role responsibilities, Amex GBT offers flexible benefits tailored to each country, including health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more. Employees can also enjoy travel perks, global tuition assistance, leadership courses, and wellbeing resources for mental and emotional health. If you are passionate about contributing to Amex GBT's mission and believe you can make a valuable addition to the team, you are encouraged to apply. Your qualifications and fit for the role will be considered beyond meeting every requirement, as diversity and inclusion are valued within the company. As a Product Manager at Amex GBT, you will have the opportunity to define and execute the product roadmap for Machine Learning-powered features. Your collaboration with the Engineering Manager and the Machine Learning Engineers will be crucial in developing and deploying machine learning models into production. Prioritizing Machine Learning initiatives based on impact, feasibility, and alignment with user needs and company strategy will be a key responsibility. You will need to translate complex Machine Learning concepts into business-friendly language to effectively communicate with stakeholders. Additionally, defining key success metrics for Machine Learning models and tracking their performance over time in collaboration with the team will be essential. Gathering user feedback and analyzing market trends to inform future Machine Learning-driven features will also be part of your role. Key Responsibilities: - Define and execute the product roadmap for Machine Learning-powered features, ensuring alignment with business goals. - Collaborate with the Engineering Manager and the Machine Learning Engineers to develop and deploy machine learning models into production. - Prioritize Machine Learning initiatives based on impact, feasibility, and alignment with user needs and company strategy. - Translate complex Machine Learning concepts into business-friendly language to effectively communicate with stakeholders. - Define key success metrics for Machine Learning models and track their performance over time in collaboration with the team. - Gather user feedback and analyze market trends to inform future Machine Learning-driven features.
