Title:  Technical Program Manager

Job Responsibilities

•    Lead end-to-end technical program management for product launches, ensuring integration of cloud-native architectures (AWS, GCP, Azure) with enterprise product platforms.
•    Understand solution requirements and engage subject matter experts across domains such as subscription billing engines (Zuora, Aria), CRM systems (SFDC), and API-driven product platforms.
•    Act as a liaison between product, engineering, and IT teams to deliver functionality across internal commerce tools including UCPQ, Salesforce, ServiceNow, and microservices-based order management systems.
•    Identify opportunities for process automation and collaborate with engineering to modernize toolsets through AI/ML models, workflow orchestration (Airflow, Kubeflow), and API integration pipelines.
•    Coordinate hyperscaler marketplace listing updates in alignment with product team needs and Azure/AWS Marketplace compliance frameworks, metadata schemas, and deployment pipelines.
•    Design and lead migration programs for transitioning customer bases between marketplace listings using data migration scripts (SQL, Python), ETL pipelines, and API connectors.

Job Requirements

•    8+ years of technical program management work experience in cloud SaaS, enterprise platforms, or hyperscaler marketplace ecosystems, leading large and complex cross-functional programs
•    Proven ability to drive programs involving APIs, microservices, data pipelines, and marketplace integrations.
•    Experience coordinating cross-functional engineering teams in containerized environments (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, Azure).
•    Experience managing AI/ML initiatives, including training data pipelines, model deployment, and integration with customer-facing applications.
•    Familiarity with IT systems such as UCPQ, SFDC, ServiceNow, and ERP connectors (SAP, Oracle NetSuite).
•    Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI), Infrastructure-as-Code (Terraform, CloudFormation), and automated testing frameworks.
•    Strong background in data analysis using SQL, Python, or BI tools (Tableau, Looker, Power BI) to support program decision-making.
•    Knowledge of subscription-based licensing, entitlement management, and marketplace billing integration.
•    Strong collaboration skills across engineering, product, data science, and GTM teams, working in distributed and global environments.
Education:
 
•    A Bachelor’s degree in Analytics, Data Science, Computer Science or Engineering is required. A Master’s degree in the same fields is highly preferred.