The Athletic

Product Designer

• Design and ship high-quality experiences that drive user, product, and business impact.
• Collaborate with cross-functional teams, partnering with Product Managers, Engineers, Content Operations, SEO Strategists, Product Analysts, and fellow designers to lead concepts from ideation to execution.
• Support and direct product strategy, ensuring we're asking the right questions and solving for the most important user needs.
• Lead larger-scale strategic and vision-oriented projects across the team.
• Lead and conduct design and user research as necessary.
• Contribute to the Product Design team through mentorship, knowledge-sharing, and elevating our Design System.
• Own and lead Product Design cultural events and rituals.
• Continually identify new ways to improve both your work and the work of the discipline and team overall, including through the use of new tooling and AI.
• Understand the competitive environment of design and our product. Stay on top of new technologies (like AI) and innovative user experiences, especially within sports apps, sports media, and news related products.

Staff Product Designer

Director

• Own the Data Strategy: Serve as the strategic architect for The Athletic's data future, directly partnering with executive leaders to align the data roadmap with the company's highest-priority growth objectives.
• Be the Data Authority: Collaborate cross-functionally with Product, Engineering, and Executive teams to identify data needs and deliver robust data solutions. Deliver actionable insights and metrics that inform subscription product development, strategic content decisions, and the overall growth strategy.
• Build Trust in Data: Own the strategy for data governance, quality, and definition across the organization, ensuring key metrics are consistent and trusted by all teams, and acting as the final escalation point for data definition disputes.
• Scale Talent and Culture: Direct and grow a diverse team of data professionals across multiple functions, acting as a dedicated mentor and champion for data literacy and a culture of continuous learning.

Director, Data & Analytics

Data Analyst

• Inform our product strategy by developing a deep understanding of sports media, our users, and how they engage with our product.
• Communicate with and advise a variety of stakeholders in the product org.
• Establish a relationship and build trust between them and our team.
• Work closely with product managers to provide insights into user behavior and feature performance and help iterate on products that are loved by our users.
• Build and own self-service analytics tools and dashboards and define new metrics to provide better visibility into business performance and improve forecast accuracy.
• Collaborate closely with engineers to implement event tracking, experiments, and data pipelines.

Producer

• Collaborate with the hosts on all elements of show creative.
• Assist the entire production process from pre-production planning to final delivery.
• Manage scheduling, coordination, and logistics to ensure smooth episode execution.
• Edit episode video and mix audio to produce high-quality content, and publish episodes to our distribution platforms.
• Ensure consistency in style and sound quality across all segments.
• Conduct thorough research to identify compelling topics and trends relevant to our audience, and key stats for our on-air talent.
• Help to develop innovative segments and series that add value and drive listener engagement.
• Collaborate with the R&B team to ensure content is engaging and on-brand.
• Contribute to episode rundowns that outline segment order, timing, and content flow.
• Identify potential video clips for distribution on YouTube and other social channels.
• Provide direction and feedback to external social media editors (when applicable).
• Work closely with the show’s hosts/producers to develop social first content.
• Manage community building through Discord, YouTube, and other social channels.
• Coordinate with hosts, guests, and team members to gather content and feedback.
• Manage deadlines and provide regular updates on production progress.

Senior Producer

Data Scientist

• Design, build, and implement mathematical models to drive key long-term product goals, like training a model that predicts which of our free users are most likely to subscribe, or recommending the right articles to the right users at the right time.
• Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job.
• Use quantitative analysis to deeply understand what our users are saying, and to develop recommendations based on that analysis.
• Design and develop data science pipelines in production.
• Guide complex experiments.
• Cultivate an outstanding data science environment.

Machine Learning Engineer

• Design, build, and maintain machine learning model productionization infrastructure. These models will drive very visible product features at The Athletic, and your infrastructure is key to their success.
• Work with the rest of the data science team to streamline model training, validation, and deployment.
• Implement robust monitoring and alerting for model performance, drift, and data quality, ensuring our models remain accurate in production.
• Cultivate an outstanding data science environment by championing best practices in ML Ops and evaluating and integrating new technologies into our data science stack.

Staff Product Designer

Director, Data & Analytics

Data Analyst

Senior Producer

Data Scientist

Senior Machine Learning Operations Engineer