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About the Role

As a Senior Product Manager on the Discovery team, you will own the experience that helps viewers find creators worth coming back for, across search, browse, and serendipitous discovery in the live feed. Your work will focus on helping viewers form their first creator connection and every connection after it, because that bond is what turns an occasional visit into a daily habit. You will be the voice of the viewer for recommendations: defining what viewers want, surfacing what they are not seeing but should, owning the discovery roadmap, and partnering with our ML teams to turn those needs into better ranking and relevance. You will define and execute a product strategy grounded in customer needs, working closely with applied science, design, and engineering to ship and measure your way there.

Responsibilities

Own the discovery experience across search, browse, and the live feed, helping viewers find creators worth returning for and form their first connection and every one after it.
Define what viewers want from recommendations and what they are not seeing but should, and own the discovery roadmap that closes those gaps.
Partner closely with applied scientists, ML product managers, and engineers to translate viewer needs into better ranking and relevance, setting the requirements without building the models yourself.
Be hands-on in execution with design, data science, and engineering, shipping through experimentation and measuring impact.
Be the voice of the viewer across teams, working with ML, App Experience, and Notifications to align surfaces and roadmaps and to navigate ambiguity.

Requirements

5 or more years of Product Management experience
Experience with discovery, search, recommendations, or other ML-powered consumer products
Strong analytical skills, ability to understand data trends, insights, and experiments, but also when to drive through product intuition
Strong written and verbal communication skills with a talent for precise articulations of customer problems
History of shipping products through experimentation, analyzing insights and measuring impact
Bachelor's or Master's degree in computer science or a related field
Familiarity with streaming and Twitch's ecosystem
Experience partnering with applied science or ML teams to define requirements that improved ranking, relevance, or personalization
Knows how to write basic SQL and how to use experimentation and analytics tools

Skills

Product Management
Discovery
Search
Recommendations
ML-powered consumer products
Analytical skills
Data trends
Insights
Product intuition
Written communication
Verbal communication
Customer problem articulation
Experimentation
Impact measurement
Computer science
Streaming
Twitch ecosystem
Applied science
ML teams
SQL
Analytics tools

Location

San Francisco, CA
New York, NY
Irvine, CA
Los Angeles, CA
Seattle, WA

Work Type

Remote
Hybrid

Experience Level

Senior

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$151,200—$204,600 USD
$173,900—$235,200 USD
$166,300—$225,000 USD
$151,200—$204,600 USD
$151,200—$204,600 USD

Benefits

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

About the Company

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more.
It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out.
You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together.
We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog.
Be sure to explore our Interviewing Guide to learn how to ace our interview process.

Equal Opportunity

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.