Sr Staff Product Manager, Machine Learning
Sr Staff Product Manager, Machine Learning
at Mozilla Corporation Team : Pocket Locations : Remote US, Remote Canada To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.
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Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years.
We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online.
Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies.
Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders only to our mission.
Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role :
Firefox’s Product Management team is looking for an experienced Senior Staff ML Product Manager to shape and lead our vision for delivering high-quality and relevant experiences to our users.
In this role, you will drive the design and integration of new recommendation systems into high-visibility surfaces like the Firefox home page and work cross-functionally to identify and build features for existing products as well as define new product strategies.
As a Senior Staff ML Product Manager for the Firefox New Tab team, you will contribute to shaping the vision for delivering more relevant and personalized content and experiences to our users in line with Mozilla values.
Our objective is to power our product experiences with modern ML to delight our customers while establishing best practices for data stewardship and privacy on the internet.
You will have ownership of the recommender systems we deploy into production and our MLOps. You will work with a team of Applied ML Engineers with the support of Content, User Research, Analytics, Design, Platform and others.
You’ll partner with PMs who own product surface experiences to ensure that they are building for ML-driven products. You’ll chart a path for Firefox to personalize our content recommendations and experiences in line with our values and mission, as well as our user growth and business priorities.
We are a fully remote organization. Your development team is mainly based in PST, but you do not have to be. We work in collaborative teams, using agile methodologies and have an interactive culture of experimentation and learning.
What you’ll do :
- Use your strategic insights, ML knowledge and experience to create, maintain and evangelize the roadmap for your area.
- Build a comprehensive understanding of user problems and guide our engineering team in prioritizing and developing principled ML solutions.
- Work with other PMs to define an exciting and industry-leading ML strategy.
- Collaborate with other Product Managers and XFN team members to deliver your strategy.
- Partner with product teams across the company to integrate ML models and experiences in other product surfaces.
- Establish clear success metrics and measuring outcomes to track the effectiveness of your initiatives.
- Communicate with stakeholders and teams from across the organization to develop and maintain the product roadmap.
- Use agile practices, including augmenting, refining and prioritizing backlogs and verifying sprint deliverables.
- Evolve and build an impactful product culture, directly contributing to our product management best practices.
What you’ll bring :
We think you’ll be a particularly good fit if you’re excited by machine learning and are passionate about responsibly building user-centered solutions.
You’re a self-starter who is motivated by seeing the fruits of your ML-labor in production. You wouldn’t be adverse to the team publishing an industry paper or two after you’ve shipped.
- 8+ years of experience as a product manager of digital products
- 2+ years of experience delivering products in one or more of the following areas :
- A heavy ML modeling component
- ML-first user experience
- ML-Platform
- MLOps
- Strong analytical ability, both numerical and generally - you can process lots of information and prioritize / analyze it to advise product development.
- Excellent communication, execution, and leadership skills.
- An understanding of ML development best practices.
- Appreciation for user privacy, particularly around personalization.
- A passion for building ML-powered products with exemplary user experience.
- Understanding of sophisticated data management problems, and related machine learning techniques.
- Comfort driving complex projects from start-to-finish, with multiple partners from diverse subject areas. Experience integrating customer feedback into product requirements, driving prioritization and pre / post-launch execution
- Technical know-how combined with an inherent appreciation of good user experience.
- Commitment to our values :
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
Bonus Points :
- Higher education or equivalent experience in Computer Science or HCI subject areas
- Prior experience with Recommender Systems or Search products
Don’t tick all of the boxes but think you’d be a great fit? Apply, we’d love to hear from you!
What you’ll get :
- Generous performance-based bonus plans to all eligible employees - we share in our success as one team
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
- Quarterly all-company wellness days where everyone takes a pause together
- Country specific holidays plus a day off for your birthday
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life / AD&D, disability, EAP, etc. - varies by country)