Technical Product Manager

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Provide clear product direction and generate alignment with the platform engineering teams
Establish quarterly objectives and track performance against key results that map to the platform’s overall goals
Build a roadmap for the core team to accomplish the team’s quarterly objectives in a manner consistent with the overall mission and vision of the platform
Prioritize the backlog to balance business priorities, platform goals and user needs
Work closely with stakeholders to understand and catalogue the diverse needs of the organization
Work with the business development team to identify data partnership opportunities and manage partner relationships
Investigate opportunities to accelerate and scale the creation of training datasets
Promote a culture of hypothesis-driven product development by using data and research to inform and validate platform features
Track and analyze key data and model quality and coverage metrics
Document use cases, test and rollout plans for new features
Perform acceptance testing for new features
Promote empathy for the developer as the primary user of the platform core

6-8 years managing digital products
Experience managing product teams
Demonstrated success in creating and improving innovative digital products
Strong organizational skills, self-motivation, and sense of responsibility
Superior verbal and written communication skills
At least three years in a data-intensive role, preferably in a product management capacity but could be engineering, data science or analytics
Understand the basics of machine learning, NLP and Knowledge Management, including taxonomy and ontology based systems
BA/BS in Computer Science, Mathematics, or related technical field
Hands-on experience designing and using APIs
Experience using SQL-based exploratory analytics tools
Experience working in an Agile environment
Knowledge of best practices for managing graph-based datasets
Understanding of technical concerns of APIs and their usage from infrastructure to developer “UX”


Feb 2, 2018


Condé Nast




content management
machine learning
natural language processing