Required Content Discovery & Growth Lead – DeviantArt
Job Description
As a Content Discovery & Growth Lead, youll design and shape what users see on the DeviantArt network. Youll be tasked with a dual mission: grow discovery and engagement through relevant and engaging recommendations for a rich and holistic browsing experience, while safeguarding quality and network health. This role involves significant collaboration with remote teams, primarily in Vancouver, Canada. Central to your success will be the ability to close the feedback loop – bridging the gap between human taste and machine learning.
In your day-to-day, you will
Lead the directional framework and principles for content consumption across the network, working collaboratively to balance conflicting KPIs and metrics with stakeholders.
Design comprehensive offline and online evaluation frameworks and set guidelines for content discovery and recommendations by translating community insights and human taste into inputs that inform scalable machine learning signals.
Collaborate with ML teams to bridge the gap between high-level "quality" definitions and low-level feature engineering, ensuring models capture nuances like artistic style, medium, and technical execution while delivering on network KPIs.
Translate user consumption needs into product requirements and help plan the product roadmap to meet those needs.
Job Description
As a Content Discovery & Growth Lead, youll design and shape what users see on the DeviantArt network. Youll be tasked with a dual mission: grow discovery and engagement through relevant and engaging recommendations for a rich and holistic browsing experience, while safeguarding quality and network health. This role involves significant collaboration with remote teams, primarily in Vancouver, Canada. Central to your success will be the ability to close the feedback loop – bridging the gap between human taste and machine learning.
In your day-to-day, you will
Lead the directional framework and principles for content consumption across the network, working collaboratively to balance conflicting KPIs and metrics with stakeholders.
Design comprehensive offline and online evaluation frameworks and set guidelines for content discovery and recommendations by translating community insights and human taste into inputs that inform scalable machine learning signals.
Collaborate with ML teams to bridge the gap between high-level "quality" definitions and low-level feature engineering, ensuring models capture nuances like artistic style, medium, and technical execution while delivering on network KPIs.
Translate user consumption needs into product requirements and help plan the product roadmap to meet those needs.
Requirements:
5+ years of experience in editorial curation, content strategy, or a related field
Competence in data analysis and A/B testing with the ability to run experiments and analyze user behavior
Understanding of how recommendation models work and the ability to communicate effectively with machine learning engineers (embedding-based retrieval, collaborative, content-based filtering).
Strong user empathy and understanding of the psychology of creators and consumers, including how network changes impact their livelihood and creativity
Experience working closely with remote teams and managing cross-location collaboration
Experience with taxonomy design or designing annotation tasks for human-in-the-loop systems to create high-quality training data – an advantage.
5+ years of experience in editorial curation, content strategy, or a related field
Competence in data analysis and A/B testing with the ability to run experiments and analyze user behavior
Understanding of how recommendation models work and the ability to communicate effectively with machine learning engineers (embedding-based retrieval, collaborative, content-based filtering).
Strong user empathy and understanding of the psychology of creators and consumers, including how network changes impact their livelihood and creativity
Experience working closely with remote teams and managing cross-location collaboration
Experience with taxonomy design or designing annotation tasks for human-in-the-loop systems to create high-quality training data – an advantage.
This position is open to all candidates.
