Marketing Technical Product Owner

Northern Base

Boston, MA, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Software as a Service Cloud Computing Data Governance DevOps Automation of Marketing Scrum Methodology Scaled Agile Framework

+10 more

Systems Architecture Systems Integration Google Cloud Cloud Platform System Technical Debt B2b Software Data Analytics Data Management Api Management Microservices

Job description

Own technical product roadmaps for marketing and distribution technology products
Manage and prioritize product backlogs and requirements
Define detailed user stories and acceptance criteria
Act as the primary product representative for Agile engineering teams
Partner with architects, engineers, and platform teams on technical solutions
Prioritize technical enablers, platform modernization, and technical debt remediation
Use technology, data, and customer insights to drive strategic product decisions
Define measurable success metrics and continuously evaluate product effectiveness
Evaluate emerging technologies including AI, automation, and advanced analytics
Partner with data and engineering teams on customer intelligence, personalization, and automation
Identify and prioritize AI-enabled marketing use cases
Ensure product decisions align with security, data governance, regulatory, and compliance requirements
Communicate emerging technology opportunities and value propositions to technology leadership

Requirements

8 14 years of overall technology/product experience
5 10 years of hands-on experience managing and evolving enterprise marketing technology products and platforms
Deep understanding of Marketing, CRM, Personalization, Digital Experience, Content, and Data platforms
Strong experience translating business needs into technical requirements, user stories, and acceptance criteria
Hands-on experience owning product roadmaps, backlogs, prioritization, and product delivery
Strong experience working within Agile product engineering environments
Experience with quarterly planning, backlog management, product discovery, prioritization frameworks, and incremental value delivery
Strong understanding of system architecture, API integrations, cloud infrastructure, security requirements, and data models
Ability to partner with engineering, architecture, data, platform, and business teams
Experience evaluating technical trade-offs related to scalability, reliability, performance, technical debt, and platform modernization
Experience defining product success metrics and using analytics and performance data to drive product decisions
Experience with marketing enablement, distribution optimization, customer intelligence, personalization, and automation
Experience identifying and prioritizing AI-enabled use cases for customer experience, operational efficiency, and marketing performance
Strong understanding of data governance, security, regulatory, and compliance requirements
Experience within Asset Management, Wealth Management, Financial Services, or another regulated industry; Asset Management strongly preferred
Excellent communication and stakeholder management skills across technical and non-technical teams, * Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager (POPM), or equivalent experience
Experience with SaaS applications and B2B software solutions
Experience working within a product engineering/product operating model
Experience defining product success metrics and using analytics for prioritization
Familiarity with AI-enabled marketing technologies, DevOps, personalization platforms, and marketing automation
Knowledge of AWS, Azure, or Google Cloud Platform
Experience with APIs, integrations, microservices, and data platforms
Familiarity with DevOps, CI/CD pipelines, and platform operations
Background in CRM, ERP, marketing technology, AI/ML, or data-driven products

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