Philo

Role Description We're looking for a Senior Technical Program Manager to own end-to-end execution of multi-platform technical programs at Philo. This is a hands-on execution role — you'll be embedded in the product development process, working daily with Product Managers, engineering domain leads, and QA to coordinate rollouts, enforce process standards, and keep complex cross-team programs on track. - A large part of this role is about bringing structure to work that doesn't have it yet. - Philo ships features across a lot of surfaces: web, iOS, Android, Roku, Amazon Fire TV, Samsung, Vizio, and more. - Getting a feature from its first platform to the rest of the lineup requires careful dependency management, clear communication, and someone who can hold teams accountable without being a bottleneck. You'll report to the Head of Program Management and work closely with the Head of Product and Engineering and Business leadership. Responsibilities Program Execution - Own 5–8 active multi-platform rollouts at any given time (e.g., a new feature that was already proven on Roku now being rolled out to web, iOS, and Android; or billing flow changes across all distribution platforms). - Drive programs end-to-end: scoping, requirements, technical design coordination, implementation tracking, testing, launch, and post-launch retro. - Build and maintain project schedules, milestone tracking, and dependency maps across engineering domains. - Track sprint and marathon commitments across domain teams; surface blockers early and drive resolution. - Document decisions, action items, and outcomes in Notion; track action items through to completion. - Lead program-level meetings including kickoffs and cross-team syncs. - Present program progress in planning meetings and other forums as needed. Cross-Domain Coordination - Coordinate work across Philo's engineering domain teams on complex multi-domain programs. - Ensure platform-specific requirements are captured and that no surface gets left behind. - Partner with domain leads on what is being prioritized each cycle; identify resource gaps and bottlenecks early. - Coordinate with QA as part of the standard rollout process; testing coordination is part of the job. Process Standards - Review PRD quality for complex cross-platform and cross-domain projects; flag missing requirements before they surface in implementation. - Identify opportunities for better definition or optimization in the development planning process, run quarterly retros on the process, and work with leadership to implement recommended changes. - Complete process administration milestones, e.g., setting up the project database for a new quarter and communicating it out. - Support Philo's Product Managers with tactical execution, ensuring teams are following established process and that the Project Tracker is consistently accurate. - Build repeatable mechanisms for planning, dependency management, readiness checks, and executive visibility — bring structure without unnecessary process overhead. Stakeholder Partnership - Partner daily with the Head of Product and his PMs on what needs coordination; own how that coordination happens. - Coordinate with Engineering leadership on resourcing and launch timelines. - Escalate to the Head of Program Management when blockers cannot be resolved at the program level. - Bridge communication between technical and non-technical stakeholders. Qualifications - 10+ years of technical program management experience, with a track record of owning complex, multi-team software programs end-to-end. - Experience at a consumer technology company shipping products across multiple platforms or surfaces (mobile, web, connected TV, or similar). - Strong grasp of software development lifecycle: you can engage meaningfully with engineers on technical approach, understand system-level tradeoffs, and facilitate design discussions. - Demonstrated ability to coordinate across multiple engineering domains simultaneously, managing dependencies and keeping programs moving in ambiguous environments. - Disciplined about documentation and process— you make things findable, traceable, and repeatable. - Comfortable operating as an individual contributor in a lean organization where you own execution, not just coordination. - Experience with Jira, Notion, or similar project tracking and documentation tools. - Background in streaming or subscription consumer products. Preferred - Familiarity with multi-platform distribution environments (Apple, Google, Roku, Amazon, or similar). - Experience in a startup or scale-up environment where the program management function was still being built out. What we’re NOT looking for - Someone who works best in a large team or heavy process infrastructure to be effective. - A project coordinator who tracks status without influencing outcomes. - Someone who conflates program management with Jira administration. Benefits - Full health, dental and vision coverage for you and your family. - 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay). - Flexible working hours. - Up to 20 weeks of fully paid parental leave. - Unlimited paid time off for vacation and sick leave. - $2,000 annual vacation bonus (we pay you to take a two week vacation). - $5,250 annually for professional development and educational assistance. - $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter). - $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco). - Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps. - Dog-friendly office. - And much more!

• Own and evolve the core business scorecards, dashboards, and ad-hoc analyses leaders use to monitor subscriber growth, revenue, billing health, retention, engagement, content performance, and monetization trends. • Translate ambiguous questions from stakeholders into structured analytical plans, clear findings, and actionable recommendations that inform real decisions. • Build deep expertise in Philo's billing and subscription ecosystem, including trials, conversion, renewals, churn, reactivation, plan migration, add-on attach, refunds, credits, failed payments, involuntary churn, and direct vs. partner billing flows. • Identify the operational and product levers that improve subscriber health, reduce friction, and strengthen revenue retention across the lifecycle. • Partner with Growth and Lifecycle Marketing on acquisition quality, funnel performance, cohort health, promotional effectiveness, winback programs, and LTV/CAC context. • Partner with Product, Design, and Data Science on customer journey analysis, feature adoption, experimentation readouts, and insight generation across the viewing and account experience. • Partner with Content, Programming, and Marketing to understand which channels, titles, and viewing patterns drive acquisition, engagement, retention, upsell, and free-to-paid conversion opportunities. • Support customer-facing and operational teams with insights into support contact drivers, account issues, billing friction, and subscriber pain points where analytical clarity can improve the customer experience. • Build executive-ready materials that connect numbers to narrative, synthesize tradeoffs, and help technical and non-technical stakeholders make decisions with confidence. • Improve the quality and trustworthiness of business data by partnering with analytics engineering and data engineering on instrumentation, metric governance, source-of-truth logic, and data quality issues. • Help raise the analytical bar across the organization through clear documentation, thoughtful prioritization, and a pragmatic balance of speed and rigor.

Role Description We are seeking an enthusiastic Senior Software Engineer to help us build and optimize the next generation of our video ingest, transcode and delivery platform. This is a high impact role that influences every video stream that Philo serves. If you endeavor to see how your work directly impacts end-users this is the role for you. - Design, implement, deploy and monitor the next generation of Philo’s video streaming pipeline, using a combination of in-house technology and open source software. - Collaborate with content partners to engineer systems that deliver the best possible TV watching experience for Philo’s users. - Build scalable and resilient data pipelines for ingesting video and analytics events using distributed computing and micro-services architecture principles. - Collaborate with internal stakeholders across video delivery, ad operations, and data science teams to ensure we are measuring and optimizing every aspect of our video delivery process and our users’ viewing experience. - Drive continuous improvements to the reliability, performance, latency and security of Philo’s video streaming platform. - Drive evaluation, selection, and development of video encoding technologies to optimize video quality and reduce CDN delivery costs. - Assist our client engineering teams in testing and improving video streaming QoE as we develop Philo apps for several new platforms. Qualifications - 8+ years of software development experience. - Proven track record of building highly efficient and highly available software using Golang, Java, C++ or similar programming languages. - Deep experience with concurrent programming. - Experience building concurrent HA and high throughput RESTful web services. - Experience operating in cloud computing environments using modern software deployment technologies (e.g. Docker, Kubernetes). - Demonstrated ability to own and drive complex architectural/development tasks to completion by following Scrum/Agile methodologies. - Experience working with large amounts of data and making data-based decisions to prioritize projects, including familiarity with relational and non-relational databases and modern data warehousing and querying. - Experience and aptitude for collaborating and communicating with internal and external stakeholders in both business and technical roles. - Familiarity with cloud video transcoding services such as AWS Elemental and Azure Media Services. Knowledge of FFmpeg is a plus. Requirements - Experience building or integrating audio and video codecs such as AAC, H.264/AVC, H.265/HEVC and AV1. - Experience with video quality assessment tools such as VMAF, SSIM, etc. - Experience with video streaming protocols such as MPEG-DASH, HLS, MPEG TS, fMP4, CMAF, Zixi, and SRT. - Experience with OTT video packaging and DRM. - Familiarity with Server-Side Ad Insertion (SSAI). Benefits - Full health, dental and vision coverage for you and your family. - 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay). - Flexible working hours. - Up to 20 weeks of fully paid parental leave. - Unlimited paid time off for vacation and sick leave. - $2,000 annual vacation bonus (we pay you to take a two week vacation). - $5,250 annually for professional development and educational assistance. - $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter). - $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco). - Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps. - Dog-friendly office. - And much more!

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 SVOD, Live TV, and FAST personalization. - Drive ML innovation at scale: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across regions and product areas. - Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment. - Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set clear expectations, and deliver measurable improvements in user engagement. - Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to develop state-of-the-art recommendation models. - Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback. - ML Vision and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs. - Explore advanced architectures: Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus. Qualifications: - 8+ years of experience in backend engineering and/or data science, including 4+ years focused on machine learning. Experience with recommendation systems is a big plus. - Strong coding skills in Python, as well as proficiency in using ML frameworks like PyTorch or TensorFlow. - Excellent analytical and problem-solving skills, with the ability to translate complex technical challenges into business solutions. - Proven track record of leading projects and delivering impactful machine learning solutions. - Strong communication and documentation skills; capable of explaining complex, technical concepts to non-technical stakeholders and to diligently document your work to help the team as a whole learn and move quickly. - Experience with Amazon SageMaker or similar MLOps platforms More about Philo At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. 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. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: - San Francisco, New York City: $175K - $235K - Boston, DC Metro, Los Angeles, Seattle: $165K - $225K - Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $215K - Texas, Florida: $150K - $205K We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: - Full health, dental and vision coverage for you and your family - 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay) - Flexible working hours - Up to 20 weeks of fully paid parental leave - Unlimited paid time off for vacation and sick leave - $2,000 annual vacation bonus (we pay you to take a two week vacation) - $5,250 annually for professional development and educational assistance - $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter) - $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco) - Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps - Dog-friendly office - And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack, as well as insights and modeling work that leverages the platform to deliver business value. In addition, you’ll work with stakeholders in other departments to understand our business needs, build highly reliable and accurate data pipelines that the company can trust, and deliver business-focused data insights to help the entire team thrive. We are passionate about problem-solving and providing data-informed insights for the entire company, using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, Redshift, Snowflake, SageMaker, AWS Glue, Mode, Omni, Avo, and BigEye. Some of the recent projects our Data Science team members have worked on include: - Building marketing mix models and multi-touch attribution models to optimize customer lifetime value and predict RoAS (Return on Ad Spend) - Modeling to determine which early product behaviors predict conversion - Running experiments to evaluate and improve our ML-based content recommendation/personalization system - Building data models for analysis of lifecycle marketing communications impact - Modeling to analyze the impact of Quality of Experience events (e.g. rebuffering) on customer engagement and other business metrics. - Data infrastructure engineering work including data warehouse cluster upgrades, per-query infra cost optimization, implementation of Apache Iceberg data storage, and evaluating alternative data warehouse technologies. - Ongoing analytics engineering work to reliably and accurately model complex billing and subscription data, enabling it to be easily queried for business insights. - Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data to lead and evolve our growing team of Data Scientists, Data Engineers, and Data Analysts – an effective, collaborative and empathetic leader who will help scale the team to meet our evolving data needs. This leader will work with stakeholders across the company to ensure that every department at Philo has the reliable and accurate data required to deliver the data-driven insights we need in order to achieve and exceed our goals as a company. Responsibilities - Own all things data at Philo: ensure that stakeholders at Philo have access to the timely and accurate data driven insights that they need to do their jobs. - Oversee the core data science work executed in cross-functional teams to drive product goals, including product experiments and A/B tests, Growth & Acquisition modeling, and product insights, including customer journey analysis and measuring effectiveness of content search and recommendation systems. - Own the quality and performance of the data platform at Philo, including platform architecture and instrumentation, data collection/processing/validation, data governance, and security and compliance. - Ensure that we are collecting the right data and events, processing them in a scalable and modular way, and building a foundation of reliable data that teams across the company can build insights from. - Collaborate closely with the engineering team and AI/ML engineers to support the development and delivery of Philo’s content recommendation system. - Collaborate closely with data roles in our business and finance teams (business insights, business analysts and financial analysts) to help them build a deep understanding of the Philo business, customers, and content trends. - Manage the data team: train, mentor and coach members of the data team, direct their work and support their career growth; identify the roles we need as we grow and hire fantastic people to fill those roles. Qualifications - 15+ years of experience across analytics, data science, data engineering, or related data functions, with significant proven experience leading multidisciplinary data teams through ambiguity, in both a strategy and personnel management capacity. (Startup experience preferred.) - Strong skills as a hands-on data scientist who can lead by example, including demonstrated understanding of data architecture, statistical modeling in either Python or R (Python preferred), A/B/n experimentation practices, SQL, and experience independently developing data driven insights. Demonstrated ability to train and coach team members in these skills. - Strong written and verbal communication skills; you are a strong communicator who can explain complex trends, data findings and analytical methodology to broad audiences with varying technical backgrounds. - A deep understanding of business priorities and the ability to partner with both technical and non-technical stakeholders. - Experience working in a fast-paced, high-growth startup environment (or ability to adapt to this environment very quickly). - Experience in consumer subscription, streaming, media, ad-supported products, or other event-rich digital businesses is preferred. - Experience with Machine Learning and Deep Learning is a strong plus. More about Philo At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. 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. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: - San Francisco, New York City: $255K - $300K - Boston, DC Metro, Los Angeles, Seattle: $240K - $285K - Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $225K - $270K - Texas, Florida: $215K - $260K We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: - Full health, dental and vision coverage for you and your family - 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay) - Flexible working hours - Up to 20 weeks of fully paid parental leave - Unlimited paid time off for vacation and sick leave - $2,000 annual vacation bonus (we pay you to take a two week vacation) - $5,250 annually for professional development and educational assistance - $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter) - $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco) - Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps - Dog-friendly office - And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

• Design, build, and maintain Philo's core dimensional models and data marts in dbt, serving as an owner of the analytics engineering layer of our data stack • Define and govern key business metrics and KPIs, ensuring consistent definitions and reliable calculations across all downstream reporting and analytics • Partner with stakeholders across the organization (Finance, Product, Marketing, Ad Sales, Content, and others) to understand their data needs and translate business questions into well-modeled, performant data products • Establish and enforce best practices for dbt project structure, model design patterns, documentation, and testing — raising the quality bar for analytics engineering at Philo • Build and maintain comprehensive data documentation and a data catalog so that analysts, data scientists, and business users can confidently self-serve • Implement and maintain data quality checks and monitoring (e.g., via dbt tests, BigEye, or similar tools) to proactively catch issues before they reach stakeholders • Optimize query performance and warehouse cost efficiency in Snowflake through thoughtful model design, materialization strategies, and incremental processing patterns • Collaborate with data engineers on pipeline design and data ingestion to ensure raw data lands in forms that support clean, efficient downstream modeling • Drive alignment across teams on data definitions, naming conventions, and a single source of truth — building stakeholder trust in data and reporting over time • Contribute to the evolution of Philo's overall data platform strategy, particularly as it relates to the semantic/metric layer, data governance, and analytics engineering tooling

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 support critical business functions across our streaming services. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack. In addition, you’ll work with departments across the organization to understand their data needs and deliver high-performance, reliable data systems to help the entire team thrive. We are passionate about building robust, scalable data infrastructure and providing a high-quality data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. To complete our work, we build on modern tools including AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, BigEye and more. Some of the recent projects that data and analytics engineers at Philo have worked on include building new models for key financial data, dbt model design, data warehouse cluster upgrades and maintenance, per-query infra cost optimization, implementation of Apache Iceberg data storage, benchmarking & improving data warehouse performance, and evaluating alternative data warehouse technologies. The Role We're seeking a senior technical and foundational leader to own and drive the vision, strategy, and execution of our Data Engineering team, encompassing both the data engineering and analytics engineering functions at Philo. This is a strategic and high-impact role: you'll set the long-term direction for our entire data platform, lead and grow a team of data and analytics engineers, and roll up your sleeves to architect and build alongside them. The ideal candidate has owned both disciplines before — data infrastructure and analytics engineering — and brings strong opinions on how to structure a high-velocity, high-trust data organization. Responsibilities: - Own the vision and technical strategy for data engineering and analytics engineering at Philo, setting the direction for how data is ingested, modeled, and delivered across the organization - Own the team’s roadmap, balancing strategic long-term investments with near-term stakeholder needs - Lead and grow the Data Engineering team, including hiring, career development, performance management, and supporting the team in generally thriving - Lead the design and implementation of Philo's data platform architecture, including setting technical standards and best practices for data engineering and analytics engineering work - Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions - Build and maintain stakeholder trust in data and reporting — ensuring that business teams have reliable, well-documented, and well-understood data products - Design scalable data pipelines and infrastructure; drive technical decisions with a focus on long-term sustainability - Implement data governance, security, and quality control processes as needed - Ultimately, deliver on the alchemy of transforming raw, messy application data into trusted business insight through scalable dimensional modeling and a metric layer that faithfully reflects product and customer behavior. Key Qualifications: - 10+ years of professional experience spanning data engineering and analytics engineering, ideally with a few years working on high-volume data platforms - 4+ years of experience managing and leading data teams, with demonstrated experience owning both data engineering and analytics engineering functions at a prior organization - Deep expertise in modern data stack technologies, particularly AWS data services, Snowflake, dbt, Airflow, Airbyte, Python, and SQL - Deep expertise in analytics engineering, including dbt model design, dimensional modeling, and delivering trusted, business-facing data products - Strong people management skills with experience providing coaching, performance feedback, and career development guidance to direct reports. - Track record of improving stakeholder trust in reporting and data quality across an organization - Strong track record of designing and implementing data platforms - Excellent communication skills with technical and non-technical stakeholders, simplifying complex data concepts for various business audiences Ideal Qualifications: - Experience in media/streaming industry with understanding of video delivery analytics and metrics - Demonstrated experience driving organizational alignment around data definitions, metrics, and a single source of truth - Experience with data governance and compliance requirements - Background in implementing data quality frameworks More about Philo At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs. Philo offers 70+ top-rated networks streaming live and on-demand, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. 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. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: - San Francisco, New York City: $240K - $275K - Boston, DC Metro, Los Angeles, Seattle: $225K - $260K - Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $215K - $250K - Texas, Florida: $200K - $235K We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: - Full health, dental and vision coverage for you and your family - 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay) - Flexible working hours - Up to 20 weeks of fully paid parental leave - Unlimited paid time off for vacation and sick leave - $2,000 annual vacation bonus (we pay you to take a two week vacation) - $5,250 annually for professional development and educational assistance - $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter) - $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco) - Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps - Dog-friendly office - And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

• Own the vision and technical strategy for data engineering and analytics engineering at Philo, setting the direction for how data is ingested, modeled, and delivered across the organization • Own the team’s roadmap, balancing strategic long-term investments with near-term stakeholder needs • Lead and grow the Data Engineering team, including hiring, career development, performance management, and supporting the team in generally thriving • Lead the design and implementation of Philo's data platform architecture, including setting technical standards and best practices for data engineering and analytics engineering work • Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions • Build and maintain stakeholder trust in data and reporting — ensuring that business teams have reliable, well-documented, and well-understood data products • Design scalable data pipelines and infrastructure; drive technical decisions with a focus on long-term sustainability • Implement data governance, security, and quality control processes as needed • Ultimately, deliver on the alchemy of transforming raw, messy application data into trusted business insight through scalable dimensional modeling and a metric layer that faithfully reflects product and customer behavior.

• Own all things data at Philo: ensure that stakeholders at Philo have access to the timely and accurate data driven insights that they need to do their jobs. • Oversee the core data science work executed in cross-functional teams to drive product goals, including product experiments and A/B tests, Growth & Acquisition modeling, and product insights, including customer journey analysis and measuring effectiveness of content search and recommendation systems. • Own the quality and performance of the data platform at Philo, including platform architecture and instrumentation, data collection/processing/validation, data governance, and security and compliance. • Ensure that we are collecting the right data and events, processing them in a scalable and modular way, and building a foundation of reliable data that teams across the company can build insights from. • Collaborate closely with the engineering team and AI/ML engineers to support the development and delivery of Philo’s content recommendation system. • Collaborate closely with data roles in our business and finance teams (business insights, business analysts and financial analysts) to help them build a deep understanding of the Philo business, customers, and content trends. • Manage the data team: train, mentor and coach members of the data team, direct their work and support their career growth; identify the roles we need as we grow and hire fantastic people to fill those roles.

• Provide technical leadership to members of the Product API team, including input on system architecture and design tradeoffs, as well as coaching other members of the team and mentoring new hires. • Collaborate with product and client engineering teams to design and deliver GraphQL APIs that enable rich, performant user experiences while maintaining clean separation of concerns and optimal client-server interactions. • Own and evolve critical product subsystems including recommendations, catalog, search, in-app notifications, user preferences, viewing history, collections, experiments, and feature flags. • Build and maintain proxy and augmentation layers that integrate domain services from across the organization (such as video infrastructure, recommendations systems, and search) into a cohesive, unified API. • Drive continuous improvements to the reliability, performance, scalability, and maintainability of Philo's product API infrastructure, ensuring sub-second response times and high availability across all endpoints. • Collaborate with data science and product analytics teams to instrument the API layer for experimentation, A/B testing, and feature rollouts, enabling data-driven product decisions. • Build and enhance observability tools to proactively monitor API performance, identify bottlenecks, debug issues, and ensure optimal cache utilization across the system. • Work with infrastructure teams to optimize database queries, implement effective caching strategies, and ensure DataServer scales efficiently as Philo's user base grows.