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Added 2 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Title: Financial Manager - PLM (Product Line Mgmt)
Added 9 mins ago
MM
Client Success Manager - Digital & Performance Marketing
Measure Marketing Results Inc.
Oakville, ON
- Full-time
We are hiring a Growth & Customer Success Manager to join our in-office team in Oakville, ON. This is not a passive account management role. This is for someone who wants to own…
Added 11 mins ago
Sr. Analyst, Digital Analytics
Rogers Communications
Toronto, ON
The Digital Data Analytics Senior Analyst plays a key role in analyzing customer behaviour across digital platforms and translating data into actionable insights that improve customer…
Added 11 mins ago
B
Spécialiste/Stratège SEO Sénior | Senior SEO Specialist/Strategist
Bloom
Montreal, QC
- Full-time
Maîtrise de l'écosystème d'outils : Google Search Console, GA4, SEMrush/Ahrefs, Google Tag Manager.
Added 15 mins ago
T
Ad Sales Assistant Manager
TP
Toronto, ON
- Full-time
As a Cluster Manager, you will play a pivotal role in overseeing and managing a group of team leads or clusters within our organization for our Google Cloud team. Your primary…
Added 15 mins ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Reporting to the Vice President, Corporate Services & Chief Financial Officer, the Manager, Finance, Performance and Analytics supports the hospital's strategic objectives, performance…
Added 17 mins ago
B
Product Owner, AI & Analytics
BMO
Toronto, ON · YNG
- Full-time
As a Product Owner within BMO's AI & Analytics team, you will help shape and deliver innovative products that leverage analytics, artificial intelligence, machine learning, and data-driven…
Added 17 mins ago
Senior Manager, AML Investigations - Canadian Banking
Scotiabank
Toronto, ON · Mississauga, ON
Develop expertise with the applicable case management systems, bank information systems, and analytics reporting tools and share insights, as appropriate.
Added 20 mins ago
KR
AI Architect
KTek Resourcing
Vancouver, BC
- Contract
…planning, website updates, content production, experimentation, and analytics into a unified ecosystem. This also includes driving segmentation initiatives and delivering value through data…
Added 20 mins ago
RA
Senior Marketing Manager - Digital Campaigns & Customer Engagement
Recruit Action inc.
Toronto, ON · Greater Toronto Area, Canada
- $50 to $65 CAD / hour
- Contract
…track record of delivering measurable marketing impact. The Manager will work closely with MarTech and Personalization, Product, Distribution, Creative, Analytics, Customer Centricity and…
Added 20 mins ago
R&
Marketing Manager II
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Marketing Manager II to join our client in support of an existing vacancy.
Added 20 mins ago
L
Associate Planner | Global Inventory
lululemon
Vancouver, BC
- Full-time
Reporting to the Global Inventory & Operations Planning Manager, the Global Associate Planner plays a key role in supporting global inventory planning and visibility across the business.…
Added 20 mins ago
MT
Manager, Corporate Actuarial
MasterHill Talent
Toronto, ON · Greater Toronto Area, Canada
- Full-time
A global insurance company is looking for an Actuarial Manager to join its Corporate Valuation team. This is a high-impact role with exposure across multiple regions, products, and…
Added 20 mins ago
E
Senior Engineering Manager, Analytics
Emburse
Toronto, ON
- Full-time
As Senior Engineering Manager, Analytics, you will lead two data and analytics teams, Emburse Analytics and Travel Analytics, that turn travel and expense data into the dashboards, embedded…
Added 20 mins ago
XI
Manager, Customer Intelligence
Xplore Inc.
Markham, ON
- Full-time
We're looking for a Manager, Customer Intelligence, based in Markham office (2-3 days a week) to help build and operationalize Xplore's customer and market understanding, supporting the…
Added 22 mins ago
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Forward Deployment Engineer Lead - Marketing
''
Toronto, ON
- Full-time
- Other
…functions, including areas such as Brand Marketing, Consumer Insights, Customer Marketing, Digital Marketing, Media & Advertising, Marketing Analytics, Product Marketing, Innovation, or…
Added 22 mins ago
KD
Manager, Revenue Growth Management
Keurig Dr Pepper
Mississauga, ON
- Full-time
The Revenue Growth Manager supports the PASO team through a mandate anchored in three core pillars: trade promotion management and governance, sales and supply planning, and commercial…
Added 25 mins ago
C
Talent Partner
CNIB
Toronto, ON
- $57,768 to $72,210 CAD / year
- Full-time
…mobility across the organization. Using talent data, market insights and a practical understanding of organizational needs, the Talent Partner helps strengthen talent pipelines, improve the…
Added 25 mins ago
A
Chef de l'amélioration des processus / Process Improvement Lead
Altis
Montreal, QC
- $70,000 to $88,000 CAD / year
- Full-time
Are you passionate about building a culture of quality and continuous improvement? We are seeking a Local Quality Manager to lead quality initiatives within a fast-paced, high-volume…
Added 28 mins ago
B
Advisor, Digital Platforms & Operations
BCI
Victoria, BC · CA Victoria
- Full-time
Configures and maintains analytics tracking on all platforms (e.g., Google Analytics 4, Siteimprove, Google Tag Manager, LinkedIn Insights, PowerBI) and partners with the Senior Advisor,…
Added 28 mins ago
B
Specialist, Product & Process
BCAA
*Head Office
- Full-time
As a Specialist, Product and Process, you will support the Senior Manager, Product and Process to navigate day to day issues, engage and deliver in projects, and investigate on the…
Added 28 mins ago
FC
Managed Accounts Portfolio Services Group Analyst
Fidelity Canada
Toronto, ON
- Full-time
…the world and its markets. This allows us to provide unique insights to clients, meaningful thought leadership to the marketplace, and distinctive opportunities for our…
Added 32 mins ago
AB
Marketing Advisor – Marketing & Brand
Alberta Blue Cross
AB · Hybrid
- Full-time
Support manager on strategic planning rooted in business priorities and data driven insights.
Added 32 mins ago
H
Category Business Manager
HP
Mississauga, ON
- Full-time
We are seeking a Category Business Manager to lead strategic product line management and drive business growth. In this role, you will shape category strategies, define business plans, and…
Added 32 mins ago
Transportation Logistics Specialist
Uber Freight
Oakville, ON
Reporting and Analytics (Ability to run BI reports; validate information; understand reports, offer feedback and deliver insights to your manager and or customer contacts on the information…

Scribd, Inc.

Lead Product Analyst

Toronto, ON, Canada
Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 4+ years of experience in product analytics or a closely related role for Senior, or 7+ years for Lead, with a record of influencing product or business decisions.
Posting language: English
Posted: Oct 13, 2026

Original job description

Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.

Culture at Scribd, Inc.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.

This posting reflects an approved, open position within the organization.

The team. Data & Analytics at Scribd brings together Analytics Engineering, Data Science, and Product Analytics to turn fragmented data and inconsistent definitions into trusted foundations, and to build AI-assisted tools that bring reliable intelligence into how teams make decisions.

The role. This role supports Content Supply & Understanding, the team that owns Scribd’s library of more than 400 million documents, which reaches over 250 million monthly active users. The team’s remit covers who contributes the content, how well we understand it, and how it reaches users. You will report to the Senior Manager, Data Analytics, and work embedded alongside Product, Engineering, Machine Learning, Data Science, and Analytics Engineering partners. The role is open at the Senior and Lead levels, and we will level based on the experience you bring. At the Senior level you own analytical workstreams within a defined area. At the Lead level you also set the measurement strategy for the area, take on the most open-ended problems, and raise the bar for the analysts around you.

Mandate. Make it possible to say with confidence what is in the corpus, where it falls short of what users look for, and whether enrichment is making content easier to find and use, with numbers that stay comparable as content sources, models, and pipelines change.

Core philosophy. A metric definition is a shared artifact. We care about documentation, versioning, and data quality as much as the readout on top, because a number that quietly breaks upstream is worse than no number at all.

About you

You are at your best when the question is not yet well formed. You look at an incomplete picture, work out what matters, and produce an answer a product team can act on, with the limits of the evidence stated plainly.
You are equally comfortable as the strategist and the analyst. You can size an opportunity, model its return, write the SQL behind the metric, and defend the number in a room full of product and executive leaders.
You are skeptical by default. When a metric moves sharply, your instinct is to find the field or pipeline that changed before you write the narrative.
You are pragmatic. You ask what the right next version is, and you use AI where it creates measurable value.
You communicate early and plainly, and you write things down. Methodology and metric documentation are part of the deliverable.

You will

Build measurement for content understanding. Define how we measure classification and metadata coverage, accuracy, and the effect of enrichment on discovery and engagement.
Own analytics for content supply and generate insights on where the corpus falls short: size the gap between user demand and the corpus, estimate the value of closing it, and help prioritize where to invest, using the same market sizing, segmentation, and ROI methods applied in go-to-market analysis.
Partner with Product Managers on strategy and roadmap. Translate product bets into success and guardrail metrics, size opportunities, and make trade-offs explicit.
Design and read experiments (A/B tests and other methods) for content-related product changes, from hypothesis through analysis and readout.
Define and maintain the KPIs, metric definitions, and dashboards for the content domain, and work with Analytics Engineering and Data Engineering on instrumentation and data quality so that metrics stay consistent over time.
Investigate discontinuities and anomalies in content data, and separate real changes in user behavior from pipeline, definition, or instrumentation changes.
Use AI-assisted workflows to speed up analysis and reporting, document how results are validated, and keep AI tools grounded as definitions change.
Present findings and recommendations to product, engineering, and executive audiences, including in regular metrics reviews.
At the Lead level: set analytical standards for the area and mentor other analysts.

You have

4+ years of experience in product analytics or a closely related role for Senior, or 7+ years for Lead, with a record of influencing product or business decisions.
Experience turning ambiguous, loosely defined questions into analysis that changed a decision, in areas where data is sparse or metrics did not yet exist.
Experience with opportunity sizing, segmentation, or business and go-to-market analysis, such as market sizing, pipeline prioritization, or ROI modeling.
Advanced SQL, and experience with Python or R for analysis and statistical work.
Experience with a modern data warehouse such as Databricks, and with BI tools such as Looker or Tableau.
Experience building AI into analytics workflows, such as LLM-assisted querying, analysis, or reporting, to move faster while checking answers against certified metrics or known results. You use AI where it creates measurable value.
Working knowledge of experimentation: A/B test design, hypothesis testing, and statistical analysis.
A record of defining a metric, defending it under scrutiny, and revising it when its inputs change.
Experience partnering with Product Managers and Engineers on strategy, roadmap, and measurement.
Strong written and verbal communication, for both technical and non-technical audiences.
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science, or equivalent practical experience.

Nice to have

Experience with content-heavy platforms such as marketplaces, catalogs, publishing, or user-generated content, including supply or content quality analytics.
Experience with classification, taxonomy, or metadata systems, or with search and recommendation, including evaluating ML or LLM outputs against labeled data.
Experience with experimentation platforms such as Statsig.
For Lead candidates: experience mentoring analysts and setting measurement standards for a product area.

At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.

In the state of California, the reasonably expected salary range is between $153,000 [minimum salary in our lowest geographic market within California] to $216,500 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $127,000 [minimum salary in our lowest US geographic market outside of California] to $205,500 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $152,000 CAD[minimum salary in our lowest geographic market] to $ 194,000[maximum salary in our highest geographic market].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Working at Scribd, Inc.

Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:

United States:

Canada:

Ottawa | Toronto | Vancouver

Mexico:

Mexico City

Benefits at Scribd, Inc.

Scribd Flex (flexible work model)
Comprehensive health, dental, and vision coverage
Mental health support and disability coverage
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
Paid parental leave and family support benefits
Retirement matching and employee equity
Learning and development programs and professional growth opportunities
Wellness and home office stipends
Complimentary access to the Scribd, Inc. suite of products
Enterprise access to leading AI tools

Get to Know Scribd, Inc.
About Scribd, Inc.
Life at Scribd, Inc.

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

If you apply for a job with Scribd, Inc. or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.

Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

Apply About employer

More about this job

Responsibilities

You will build measurement frameworks for content understanding and partner with product teams to define success metrics and strategy. Additionally, you will analyze content supply gaps, design experiments, and provide actionable insights to executive leadership.

Requirements

Candidates must have 4-7+ years of experience in product analytics with proficiency in SQL, Python or R, and modern data warehousing tools. Strong communication skills and experience in opportunity sizing, experimentation, and cross-functional collaboration are required.

Skills

Product analytics
SQL
Python
R
Data modeling
A/B testing
Statistical analysis
Market sizing
ROI modeling
Data visualization
Looker
Tableau
Databricks
Machine learning
Communication
Mentoring

Benefits

Health insurance
Dental coverage
Vision coverage
Mental health support
Disability coverage
Paid time off
Paid parental leave
Retirement matching
Employee equity
Learning and development programs
Wellness stipend
Home office stipend
Complimentary access to Scribd products
Enterprise access to AI tools

Visa sponsorship

Not detected in the job text

Keywords

Product Analytics
SQL
Python
R
Databricks
Looker
Tableau
A/B Testing
Statistical Analysis
Machine Learning
LLM
Market Sizing
ROI Modeling
Data Engineering
Analytics Engineering
Content Strategy
Metadata
Taxonomy
Experimentation
Hypothesis Testing
Data Quality
Product Management
Business Intelligence
Segmentation
Pipeline Prioritization
AI-assisted workflows
Data Science
Metrics Definition
Dashboarding
Strategic Planning

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