Product Manager, Philo
Data and Machine Learning
$170-240k
+ Company stock options + $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
Live TV streaming service
Open for applications
Live TV streaming service
101-200 employees
Open for applications
$170-240k
+ Company stock options + $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
101-200 employees
Company mission
To provide affordable and accessible television streaming services to everyone.
Role
Who you are
- 8+ years of product management experience with machine learning or data products
- Strong understanding of recommendation systems, personalization algorithms, and content classification
- Experience transforming data insights into actionable product features
- Proficiency in analyzing and interpreting complex datasets to inform product decisions
- Knowledge of ML development workflows and productionization challenges
- Familiarity with video streaming technologies and metrics (e.g., engagement, retention, churn)
- Excellent communication skills with ability to explain technical concepts to non-technical audiences
- Bachelor's degree in Computer Science, Data Science, or related field (or equivalent experience
What the job involves
- The Product Team is responsible for designing, building, testing, and quite literally reinventing television—one of the most engaging products ever created—across web, mobile, and TV platforms
- Just as television is about more than simply watching an episode of your favorite show, so too does our work extend well beyond the play button
- We take into account TV schedules, movie and show metadata, real-time ad auctions, live and on-demand feeds, recordings, cross-device interoperability, and individualized viewing habits, preferences, restrictions, and notifications… massaging it all into a comprehensive and seamless streaming experience while cooking up next generation multi-screen and multi-user playback experiences
- At Philo, every member of the team is responsible for building and supporting a quality product experience
- As such, product responsibilities are fairly decentralized
- Cross-functional groups comprising feature leads from design, engineering, marketing, support, content, business development, data science, and other teams work together to tackle problems, collaborating on the motivation, scoping, design, implementation, release, support, and analysis of the corresponding solutions
- The primary role of the Product team at Philo is to identify problems, vet opportunities, and equip other members of the Philo team in these cross-functional groups to be successful in pursuing solutions
- As our Data & Machine Learning Product Manager, you will ensure that Philo is optimally leveraging data to drive every part of our product development. Working at the intersection of data science, engineering, and user experience, you’ll help transform data insights into compelling product features
- You will ensure that our apps are collecting the right first-party data as users interact with our product, transform and leverage that data to develop user insights and drive product enhancements, and combine Philo’s first-party data with curated third-party data to build a foundation for data-driven features in the product. Building on that foundation, you'll lead the development of AI-powered features that drive engagement, retention, and satisfaction across our video streaming platform
- Own the product roadmap for ML and data-driven features including content recommendation, personalization, and viewer insights
- Own the data pipelines that feed both our ML models and our general product experience, including first-party analytics events and data feeds from 3rd parties (e.g. programming metadata for Philo’s video content)
- Collaborate with data scientists and ML engineers to develop, test, and refine machine learning models that enhance user experiences
- Partner with engineering teams to implement ML solutions into production environments
- Define key metrics and success criteria for ML features and analyze performance data
- Own the definition and calculation of core metrics that drive and measure experimentation and A/B testing across the product
- Identify opportunities to leverage viewer data to improve content discovery and engagement
- Collaborate with content teams to build systems that extract meaningful metadata and insights
- Develop A/B testing frameworks to validate ML models and optimize performance
- Balance technical feasibility, business value, and user needs when prioritizing features
- Ensure compliance with data privacy regulations
- Communicate complex technical concepts to diverse stakeholders across the organization
Application process
- Projected Start Date: ASAP
Our take
Streaming services offer cheaper options than cable TV packages, but prices are beginning to rise. This is partly due to packages beginning to bundle costly sports and other media packages that viewers do not necessarily want.
Philo offers a streaming service that aims to provide a streamlined selection of channels as an affordable, yet comprehensive, viewing option. The streamlined and high-quality channel offerings are available to viewers at $25 per month, a price significantly lower than standard cable subscriptions, with the base option including 60 live channels and over 75,000 on-demand offerings.
Whilst other streaming platforms offer affordable packages, Philo stands out with unique features such as a co-viewing service that allows up to three people to watch the same program together. The company has also proven its dedication to improved user experiences, as it expands its compatibility with devices such as smart TVs.
Steph
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2020
$50m
SERIES D
Jul 2018
$41.4m
SERIES C
Total funding: $155.7m
Company 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!
Company HQ
Telegraph Hill, San Francisco, CA
Leadership
Andrew McCollum
(CEO, not founder)Studied Computer Science at Harvard before co-founding Facebook. Joined Philo in 2014 and has acted as CEO since.
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