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Added 10 days ago
T
Business Information Management Specialist
TD
Toronto, ON
- Full-time
Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues.
Added 10 days ago
C
Senior Automation Developer
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Senior Automation Developer for a fully hands-on, programmatic engineering role dedicated to architecting, refactoring, and maintaining scalable, distributed…
Added 10 days ago
UH
Postdoctoral Researcher
University Health Network
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- Full-time
We seek a postdoctoral fellow with strong expertise in computational biology, bioinformatics, biomedical data science, and/or AI/ML to join a major interdisciplinary initiative focused on…
Added 10 days ago
II
DevOps Developer - Hybrid
ISAAC Instruments
Saint-Bruno-de-Montarville, QC
- Full-time
…secure and reliable delivery of our software solutions and our data and AI platforms. You ensure the automation, stability and evolution of application environments and act as a facilitator…
Added 10 days ago
GS
Business Systems Developer
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Added 10 days ago
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Added 10 days ago
SI
Lead Analytics Engineer - Payments, Identity & Trust and Safety
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
The team. Data & Analytics is building the DNA of an AI native Scribd, Inc. Bringing together Analytics Engineering, Data Science, and Data Analytics, D&A turns fragmented data and…
Added 10 days ago
SI
Lead Analytics Engineer, AI Native Self Service Analytics
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…guide technical decisions credibly. You will connect Analytics Engineering investments to company priorities, communicate tradeoffs clearly to senior leaders, and contribute thoughtfully to…
Added 10 days ago
C
Développeur/Développeuse GenAI / IA Générative | GenAI / Generative AI Developer
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- Full-time
Solides compétences en Python dans un contexte ML/AI, et bonne maîtrise de JavaScript / TypeScript pour l'intégration et le déploiement web.
Added 10 days ago
A
Senior Software Engineer, Builder Studio
Apollo.io
Canada
- Full-time
…sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these…
Added 10 days ago
T
Business Information Management Specialist
TD
Toronto, ON
- Full-time
Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues.
Added 10 days ago
SI
AI/ML Engineer
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Canada
- Full-time
Collect, clean, preprocess, and analyze structured and unstructured data.
Added 10 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 10 days ago
TG
Digital Solutions Developer
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Toronto, ON
- $80,000 to $90,000 CAD / year
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We are seeking an Digital Solutions Developer with strong software development and cybersecurity expertise to rapidly build secure internal applications, automations, and integrations using…
Added 10 days ago
FE
Frontier Deployed Engineer
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Added 10 days ago
BR
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The work combines Python, AI, financial data, APIs, and microservices, with opportunities to contribute across the full stack.
Added 10 days ago
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Embedded Software Developer
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As an Embedded Software Developer, you will contribute to complex engineering projects and products through designing, coding, testing, and maintaining software applications using object…
Added 10 days ago
T
Data Engineer II
TD
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Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment…
Added 10 days ago
C
Lead Software Engineer – Margin Technology - VP
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- Full-time
…of transformation in margin and collateral domain. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced…
Added 10 days ago
B
Factory Test Specialist
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Calgary, AB
- Full-time
Brunel is currently seeking a Factory Test Specialist, Mechanical to support a growing manufacturing and engineering operation. This role is responsible for developing, implementing, and…
Added 10 days ago
K
Senior Analytics Engineer - Finance
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Added 10 days ago
SH
Software Quality Assurance Specialist Co-op
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Added 10 days ago
KG
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Added 10 days ago
R
Founding Engineer
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…analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the…
Added 10 days ago
II
DevOps Developer - Hybrid
ISAAC Instruments
Saint-Bruno-de-Montarville, QC · St-Bruno-de-Montarville, QC
- Full-time
…secure and reliable delivery of our software solutions and our data and AI platforms. You ensure the automation, stability and evolution of application environments and act as a facilitator…

Scribd, Inc.

Lead Analytics Engineer - Payments, Identity & Trust and Safety

Toronto, ON, Canada
Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 8+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline
Posting language: English
Posted: Oct 16, 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.

About the team and role

The team. Data & Analytics is building the DNA of an AI native Scribd, Inc. Bringing together Analytics Engineering, Data Science, and Data Analytics, D&A turns fragmented data and inconsistent definitions into trusted, production-quality data foundations - and builds the AI agents and analytical tools that bring reliable intelligence directly into how teams make decisions.

The role. This role supports the pillars that own payments, identity, security as well as trust & safety systems - the foundations that let Scribd securely monetize and protect its products. It is the senior-most analytics engineering role for these pillars and a purely technical leadership position with no direct reports. You will report to the Director, Analytics Engineering, and work embedded alongside Product Analytics, Data Science, Product, and Engineering partners.

Mandate. Give core business concepts one authoritative definition, and make sure the numbers survive a PSP migration, a schema change, or a new market launch without silently going wrong. For Trust & Safety, make it possible to say with confidence how much violating content exists on Scribd and how much of it users see with numbers that stay comparable as moderation models, policies, and review processes change.

Core philosophy. A metric definition is an engineering artifact. We care about lineage, observability, and data quality as much as the dashboard on top - because a number that quietly breaks upstream is worse than no number at all.

About you

You are equally comfortable as the modeler and the analyst. You can build the pipeline, define the metric, and defend the number in a room full of executives.
You are skeptical by default. When payment success rate drops four points, your instinct is to go find the field that changed meaning, not to write the narrative. You have opinions about how payments data should be structured to prevent misleading narratives.
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 model documentation are part of the deliverable.

You will

Own the canonical data models for payments, billing, and subscriptions in Databricks modeled once across Scribd, Everand, and Fable so a new market, or payment method doesn't require a rewrite, and built with the next engineer and the AI tools on top as explicit consumers.
Own the KPI and semantic layer for payments and identity exposed through self-serve dashboaring/AI tools.
Extend the same discipline to Trust & Safety, owning the models and metrics behind prevalence and exposure, including evaluation of AI-generated moderation labels.
Drive quality, observability, and lineage so a regional login challenge rate change or processor routing change is caught in days, not quarters and root-cause discontinuities to separate real customer or processor behavior from migration artifacts and data quality issues.
Build AI tools on trusted foundations, grounded in certified metrics and tables, kept in sync as definitions change, and validated with evaluation sets that prove the answers are right.
Raise the technical bar, set modeling and metric conventions, influence source-system changes before they land, and mentor analysts and analytics engineers in these domains.

You have

8+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline
Deep, hands-on payments expertise: including direct experience with processor data from Stripe, Adyen, Braintree, PayPal, or similar.
Practical experience with identity and authentication data
Depth in governed, canonical data models and semantic layers, and a track record of defining a metric, defending it under scrutiny, and versioning it when its inputs changed.
Advanced SQL and production experience with Databricks, AWS, Looker, Airbyte, Fivetran, or comparable platforms, including orchestration, transformation frameworks, and automated testing.
Experience making data reliable for AI consumption
Proven ability to influence senior product and engineering leaders and translate complex payment economics into clear business trade-offs.

Nice to have

Advanced Python and experience building AI agents or LLM-based pipelines.
Experience with trust and safety or integrity measurement
Experience with local payment methods across LATAM, APAC, or EU markets, and with stored-credential and network compliance frameworks.
Experience with on-call rotations and incident response for production data systems.

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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 $179,000 [minimum salary in our lowest geographic market within California] to $253,500 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $149,000 [minimum salary in our lowest US geographic market outside of California] to $240,500 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $178,000 CAD[minimum salary in our lowest geographic market] to $227,000 CAD[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.

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More about this job

Responsibilities

Own canonical data models and KPI definitions for payments, billing, subscriptions, identity, and Trust & Safety across Scribd, Everand, and Fable. Improve data quality, observability, and lineage; build AI tools on certified data; and set technical standards while influencing partners and mentoring colleagues.

Requirements

Requires 8+ years in analytics engineering, data engineering, business intelligence engineering, or a related field, with hands-on payment processor data experience and practical identity and authentication data experience. Candidates should have advanced SQL and production experience with Databricks and comparable data platforms, strong data modeling and semantic-layer expertise, and the ability to influence senior product and engineering leaders.

Skills

Analytics Engineering
Payments Data
Identity and Authentication Data
Trust and Safety Measurement
Data Modeling
Semantic Layers
Advanced SQL
Databricks
AWS
Looker
Airbyte
Fivetran
Data Orchestration
Automated Testing
Data Quality and Observability
AI Data Readiness

Benefits

Health Insurance
Dental Insurance
Vision Coverage
Mental Health Support
Disability Coverage
Paid Time Off
Paid Parental Leave
Family Support Benefits
Retirement Matching
Employee Equity
Learning and Development Programs
Wellness Stipend
Home Office Stipend
Complimentary Product Access
Enterprise Access to AI Tools

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Payments
Billing
Subscriptions
Identity
Authentication
Trust and Safety
Databricks
AWS
Looker
Airbyte
Fivetran
SQL
Python
Stripe
Adyen
Braintree
PayPal
Canonical Data Models
Semantic Layer
Data Lineage
Data Observability
Data Quality
Automated Testing
Data Orchestration
AI Agents
LLM Pipelines
Moderation Labels
Local Payment Methods
Incident Response

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