Remote Data Product Manager — AI & Analytics

TalentHop; United States; A distancia; USD 140.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

TalentHop is seeking a Product Manager (Data) to lead data-driven features that turn analytics into customer value. You will collaborate across teams to prioritize initiatives and integrate AI/ML to forecast demand and boost marketing performance.

Responsibilities include translating customer needs into clear requirements, working with Data & Analytics leadership to set data priorities, and guiding Engineering on new capabilities. Strong SQL and data modeling skills are essential.

Formación

• 3-5+ years in product management or product analytics for data-focused products.
• Proficiency in SQL, data modeling, metrics, and experimental design.
• Ability to translate customer inquiries into analytic questions and product capabilities.
• Experience working with customers to derive actionable requirements.

Responsabilidades

• Engage with customers and internal teams to capture decision-making needs and translate them into clear requirements.
• Collaborate with Data & Analytics leadership to prioritize and define customer-facing data initiatives.
• Work with Engineering to plan, build, and release new capabilities.
• Identify opportunities to apply AI and machine learning to enhance product offerings.
• Ensure data insights are accurate, understandable, and integrated within customer workflows.
• Define success metrics and use experimentation to refine product features.
• Utilize AI tools to enhance personal productivity and share best practices.

Conocimientos

SQL

Data modeling

Experiment design

Requirements translation

AI tools

Roadmaps

Stakeholder comms

B2B domain

Descripción del empleo

TalentHop is seeking a Product Manager (Data) to lead data-driven features that turn analytics into customer value. You will collaborate across teams to prioritize initiatives and integrate AI/ML to forecast demand and boost marketing performance.

Responsibilities include translating customer needs into clear requirements, working with Data & Analytics leadership to set data priorities, and guiding Engineering on new capabilities. Strong SQL and data modeling skills are essential.