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The Product Manager leads the checkout product strategy, managing features and backlogs, driving conversion optimization, and ensuring alignment with market needs and business goals.

The Product Manager for Billing oversees the billing product vision and roadmap, ensuring alignment with business goals while managing the integration of Stripe Billing within the subscription infrastructure. Responsibilities include stakeholder communication, performance monitoring, and driving product strategy in a fast-paced environment.

The role involves developing LLM-powered systems, managing institutional knowledge, and optimizing AI-driven products, collaborating with teams and deploying services.

Provide first- and second-level technical support and assist customers with implementation of Piano's Web Analytics solution. Gather requirements, configure reports, perform acceptance testing, run trainings, and collaborate with customers' marketing and technical teams to optimize online activity and ensure satisfaction.

Support the global Account Management team by assisting with renewals, deal tracking, customer communications, and account activity monitoring. Coordinate with Product, Support, Sales, and Customer Success, maintain records in Salesforce and Gong, and gradually take ownership of smaller accounts to drive retention and engagement. Provide administrative and operational support in a hybrid, student-friendly role (up to 20 hours/week).

Manage and grow a portfolio of enterprise customers, driving renewals, upsell and cross-sell. Build executive relationships, develop strategic account plans, conduct business reviews, monitor customer health, lead commercial negotiations, manage escalations, and coordinate cross-functional teams to maximize customer lifetime value and ensure long-term success.

Manage and grow a portfolio of enterprise accounts, drive renewals, upsell and cross-sell, develop strategic account plans, conduct business reviews, monitor customer health, lead negotiations, handle escalations, and coordinate cross-functional teams to maximize customer lifetime value.

The ML Engineer will maintain and improve ML models and pipelines, resolve production issues, and collaborate with teams to develop effective ML solutions.