Sales Compensation Manager at Docebo

Toronto, Ontario, Canada

Docebo Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, EdTech, TechnologyIndustries

Requirements

  • Bachelor’s degree in Finance, Business Administration, Human Resources, or a related field
  • 5+ years of experience in sales compensation, financial analysis, or related roles
  • Strong analytical and quantitative skills with the ability to interpret complex data and trends
  • Proficient in advanced Excel and Google Sheets functionalities
  • Experience with provision and rollout of tools that improve compensation processes
  • Demonstrated expertise in crafting presentations that effectively convey narratives through compelling visuals
  • Skilled in interpreting metrics to generate actionable insights, integrating diverse data streams, and constructing interactive dashboards using data visualization platforms such as CRMA, Tableau, and Google Sheets
  • Familiarity with statistical modeling methods, including multivariable regression analysis
  • Exposure to querying languages like SQL, SAQL, or SOQL for consolidating data

Responsibilities

  • Oversee the compensation processes, compensation policies, and SPIFF execution and modeling
  • Maintain open communication with sales management across all levels to address inquiries on sales compensation policies, fostering a collaborative relationship
  • Conduct monthly meetings with Go-To-Market (GTM) partners to evaluate system requirements, disseminate training/policy updates, and optimize commission processes
  • Provision and rollout of compensation tool for Docebo
  • Perform audits and generate reports on compensation using various databases and systems to ensure accurate and punctual payments to the sales team, while aiding in upholding appropriate accounting and internal controls
  • Investigate and communicate trends and commission-related issues to Revenue Operations (RevOps) leadership and sales management to align GTM team incentives with Docebo's strategy
  • Develop and maintain documentation outlining departmental procedures to ensure consistency in calculations, audits, and financial processes
  • Prepare and verify the accuracy of sales data for commission and sales incentive calculations, supplying timely data to payroll to meet weekly deadlines
  • Review the end-to-end commission processing, including customization and integration with commission data and technology
  • Analyze GTM data, commission payouts, and quota attainment data to craft presentations featuring evidence-based recommendations, tailored for both technical and non-technical audiences

Skills

Key technologies and capabilities for this role

Sales CompensationCompensation DesignCommission ModelingSPIFF ExecutionGTM StrategyRevenue OperationsSaaSCross-Functional Collaboration

Questions & Answers

Common questions about this position

What is the employment type for this Sales Compensation Manager role?

This is a full-time position.

Is this Sales Compensation Manager role remote or office-based?

This information is not specified in the job description.

What key skills are needed for the Sales Compensation Manager position?

The role requires skills in compensation processes and policies, data analysis using databases and systems, commission modeling, auditing, reporting, and cross-functional communication with sales and GTM teams.

What is the company culture like at Docebo?

Docebo emphasizes the 'Docebo Heart' with values like trusting each other, assuming positive intent, and making space for differences; they foster a collaborative team environment that challenges the status quo in a fast-paced SaaS setting with 900+ employees worldwide.

What makes a strong candidate for the Sales Compensation Manager role?

Strong candidates will have experience designing compensation programs, analyzing GTM data, optimizing commission processes, and collaborating with sales leadership in a SaaS revenue operations context.

Docebo

Corporate e-learning platform with AI integration

About Docebo

Docebo creates software and support systems to assist businesses in training their employees and stakeholders. Its platform combines various learning methods, such as formal, social, and experiential learning, enhanced by artificial intelligence to make the learning experience more personalized and engaging. This approach sets Docebo apart from traditional learning management systems that focus solely on formal courses. The company primarily targets corporate clients across different industries, recognizing the growing need for effective training solutions in the corporate e-learning sector. Docebo operates on a Software-as-a-Service (SaaS) model, where clients subscribe to access its platform, allowing for flexible usage based on their needs. The company's goal is to provide a comprehensive learning platform that supports continuous employee development and adapts to the evolving demands of the workforce.

Toronto, CanadaHeadquarters
2005Year Founded
$5.6MTotal Funding
IPOCompany Stage
Enterprise Software, EducationIndustries
1,001-5,000Employees

Benefits

Paid Vacation
Employee Stock Purchase Plan
Hybrid Work Options
Remote Work Options

Risks

Dayforce's new LMS launch could increase competition in the e-learning market.
CFO transition might cause temporary instability in Docebo's financial management.
Warburg Pincus's share acquisition may lead to increased influence over company decisions.

Differentiation

Docebo integrates formal, social, and experiential learning methods, enhancing learning personalization.
The platform leverages advanced AI capabilities for dynamic and personalized learning experiences.
Docebo's SaaS model allows scalable and flexible learning solutions for corporate clients.

Upsides

Docebo's partnership with Class Technologies enhances virtual instructor-led training capabilities.
Recognition with nine Brandon Hall Awards reinforces Docebo's leadership in learning innovation.
The alliance with Deloitte supports building robust learning ecosystems for large organizations.

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