NYC Tech Jobs and Startup Jobs

5

Product Marketing Manager

JW Player
Greater NYC Area
5 days ago
+19
JW Player is looking for a creative, entrepreneurial, and customer-focused Product Marketing Manager with 5+ years experience to help drive our continued growth. This is an excellent opportunity for experienced, self-starting product marketers to contribute to developing and scaling a world-class product marketing function.

Software Engineer, Backend

JW Player
Greater NYC Area
1 week ago
+19
Video delivery APIs that scale to tens of thousands of requests per second at petabyte scale. Log-based architecture using Kafka. Recommendations engine serving 15MM+ daily unique viewers. A next generation transcoding pipeline. A data science/machine learning pipeline using Airflow and Tensorflow. A search API powered by Elasticsearch. A video metadata extraction platform using machine learning.

Vice President, Demand Generation Marketing

JW Player
Greater NYC Area
1 week ago
+19
Are you a B2B marketer who loves activating demand and building pipeline? JW Player is seeking an experienced leader to oversee our Demand Gen Marketing efforts. This role will report to the CMO and work closely with our growth and product marketing teams to support our global sales team with a steady flow of high quality leads with strong product/market fit. The ideal candidate will have experience with MarTech or AdTech SaaS products, and a

Content Marketing Manager

JW Player
Greater NYC Area
1 week ago
+19
JW Player is seeking a Content Marketing Manager to help drive growth through thought leadership and our demand generation marketing initiatives. The ideal candidate is a passionate storyteller with experience supporting technical SaaS products, and executing content initiatives targeted at developers and engineers across a wide variety of formats.

Software Engineer, Data Discovery

JW Player
Greater NYC Area
1 week ago
+19
Maintain and develop a high-volume delivery API for playlists and recommendations. Build data-oriented products to provide our publishers with thoughtful analytics to better understand their audience and useful levers to increase viewer engagement. Collaborate with our Data Science team by productionizing machine learning models to extract video metadata, such as best thumbnails for videos. Use streaming technology for data enrichment, model training and database synchronization. Improve the Discovery team’s infrastructure and tooling around deployments, testing, monitoring and container orchestration. 

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