Philo jobs

Sr. Technical Program Manager San Francisco, CA, Brooklyn, NY, Cambridge, MA or remote within the U.S. About Philo At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback. About the Program Management team Philo's Program Management team is the connective tissue that makes our most complex technical and product initiatives actually land. We're a small, high-leverage function within Business Operations, built to bring structure and execution rigor to cross-functional work that cuts across Product, Engineering, and the business. The team is led by the Head of Program Management, who reports to our COO and partners closely with our Head of Product and Engineering leadership. We own the portfolio of major programs across the company - things like platform feature rollouts across six distribution surfaces, billing infrastructure changes, and new product launches - and we make sure the right people are coordinating, dependencies are tracked, and delivery doesn't fall through the cracks. The Program Management team at Philo is in growth mode- we've proven the model works, and now we're adding our

Director of Data Engineering San Francisco, CA, Brooklyn, NY, Cambridge, MA or remote within the U.S. Philo: a streaming service for TV and movie lovers At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company. Philo's Data Engineering team encompasses both data engineering and analytics engineering, and we're looking for people who are comfortable working on complex data infrastructure and modeling challenges that

Head of Data San Francisco, CA or remote within the U.S. Philo: a streaming service for TV and movie lovers At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback. Data at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company. On the Data team, we're looking for people who are comfortable working on a variety of interesting engagement, content discoverability, experimentation, acquisition, and retention-related data projects across our streaming service. You'll be working closely

Lead Backend Software Engineer (Product) San Francisco, CA, Brooklyn, NY, Cambridge, MA or remote within the U.S. About Philo Philo is building the future of television. Our product lets you watch your favorite shows on all the devices you care about, with seamless playback, insightful discovery, and effortless sharing. In short, we're building the TV experience that we've always wanted for ourselves. We're a company that puts people first - both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV. We believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E. Lead Backend Software Engineer (Product) Philo aims to connect customers with their favorite shows, help them discover new favorites, and get them seamlessly into the video player watching their next shows. The Product API team is central to this mission and powers virtually every

Sr. Backend Software Engineer (Video Engineering) San Francisco, CA, Brooklyn, NY, Cambridge, MA or remote within the U.S. At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Backend Software Engineer (Video Engineering) Video is at the core of Philo and what customers engage with the most: watching their favorite shows. The Video Infrastructure team is crucial for delivering on this high expectation, and - together with the Ads team - for generating significant revenue through advertising. We own the systems that get every frame of Philo to every screen: live and video on demand transcoding, DRM and license servers, manifest generation that holds up under peak live events, and Server-Side Ad Insertion (SSAI). We support playback across all major streaming platforms, and partner closely with the Ads, Client, and Data teams to build out the end-to-end video player and ad experience. We increasingly apply machine learning to inspect both content and ads - surfacing quality issues, optimizing encodes, and improving the viewing experience in ways that weren't possible

Senior Business Insights Analyst San Francisco, CA or remote within the U.S. Philo: a streaming service for TV and movie lovers Philo is building a modern TV company that combines high-quality streaming technology with a clear point of view on value, simplicity, and the viewing experience. Our product now spans paid subscription plans, premium bundles, add-ons, and a growing free-channel experience - creating a business that sits at the intersection of product, content, subscriptions, billing, and a rapidly changing media landscape. That mix creates unusually rich analytical problems. At Philo, strong business judgment matters just as much as technical depth: the best work helps leaders understand what is happening in the business, why it is happening, and what to do next. Data and Business Insights at Philo Data underpins nearly every important decision at Philo. The company operates in an event-rich environment with large-scale behavioral, subscription, billing, and content data that inform work across acquisition, retention, product experience, streaming quality, pricing, content discovery, and long-term customer value. Philo's data organization spans data science, data engineering, analytics engineering, and business-facing analytical partners who work closely with Finance, Product, Growth, Lifecycle Marketing, Content, Customer Experience, Operations, and other teams. As Philo continues to evolve its plan structure across paid plans, free channels, and add-ons - and as customers interact through both direct and partner billing experiences - trusted business insights become even more important. The Role We're looking for a Senior Business Insights Analyst to help Philo make better, faster decisions through

Sr. Machine Learning Engineer (Recommendation Systems) San Francisco, CA or remote within the U.S. At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Machine Learning Engineer (Recommendation Systems) Philo's recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and viewing habits. We want users to be confident that Philo will have something they want to watch every time they open the app. We are seeking a Senior Machine Learning Engineer to lead our content personalization efforts, shaping experiences that impact millions of users. In this role, you will research, design, and build advanced algorithms and large-scale systems that power Philo's recommendation engine. As a senior member of a growing team, you will tackle complex machine learning challenges and collaborate with data science, product, infrastructure, and backend engineering teams to deliver innovative, data-driven personalization solutions. Your work will directly impact content discovery, deepen user engagement, and drive long-term retention. Responsibilities: - Lead development of recommendation systems: Design, build, and optimize advanced algorithms for