This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Domain Expert, Total Rewards based in the Canada .
This role brings deep total rewards expertise into a technology-driven compensation and pay intelligence environment. You’ll advise on complex compensation questions spanning job architecture, market data, pay ranges, offer construction, and geographic differentials. As a senior individual contributor, you’ll own a compensation domain and guide the roadmap for related content, tools, and product capabilities. You’ll work directly with Product, AI, data science, and development teams to translate practitioner expertise into scalable technology. The role also involves engaging with senior customer stakeholders when compensation design decisions require experienced judgment and clear communication. It is an opportunity to shape how compensation expertise is embedded into products while building resources that scale your impact across a broad customer base.
Accountabilities:
- Own a defined area of total rewards content and product capabilities, such as job architecture, market data integration, pay range design, offer intelligence, or a related domain.
- Guide the roadmap for the assigned domain, prioritize initiatives, and maintain a high practitioner standard for content and product outputs.
- Advise customers and internal stakeholders on complex compensation questions, including architecture redesigns, market data conflicts, range strategies, offer logic, and geographic differentials.
- Provide expert guidance on total rewards strategy, explain design tradeoffs, and support defensible compensation decisions.
- Create scalable resources such as customer briefings, design guides, communication templates, frameworks, and worked examples.
- Partner directly with Product and AI teams to embed compensation expertise into product capabilities, including offer recommendation logic, compensation structures, and market data workflows.
- Translate customer analytics, recurring questions, and practitioner needs into product requirements and recommendations for development teams.
- Identify edge cases and design gaps before they affect customers and contribute to product and implementation decisions.
- Participate selectively in customer QBRs, offer strategy discussions, architecture reviews, and other high-impact conversations involving senior HR and compensation stakeholders.
- Surface emerging customer patterns and gaps in existing frameworks and collaborate with senior colleagues and Product teams to continuously improve compensation intelligence capabilities.
Requirements
- 5+ years of hands-on experience in total rewards, compensation, organizational design, or a closely related field.
- Meaningful experience with job architecture, market data, pay range design, organizational design, or enterprise-scale compensation projects.
- Deep knowledge of compensation practices, including leveling frameworks, benchmarking methodologies, salary structures, offer construction, geographic differentials, and incentive design.
- Demonstrated ability to translate compensation expertise into scalable resources such as playbooks, tools, products, standards, or enablement materials.
- Experience communicating credibly with senior HR leaders, CHROs, compensation committees, or HR business partner leadership teams about compensation design and tradeoffs.
- Strong judgment when presenting compensation options versus recommending specific outcomes.
- Proven ability to create high-quality documentation and content that enables broader teams and reduces dependence on one-to-one expertise.
- Comfort considering how compensation expertise can be translated into AI-enabled product capabilities, particularly around offer recommendations and compensation structure design.
- Strong written and verbal communication, analytical thinking, and stakeholder management skills.
- Experience in HR technology, compensation SaaS, or another enterprise technology environment is strongly preferred.
- Curious, collaborative, and adaptable mindset with a willingness to learn and contribute in a rapidly evolving environment.
Benefits
- Salary is listed in the source as $145,000–$165,000 CAD annually, with final compensation based on experience and expertise.
- Equity participation.
- 20 days of annual vacation.
- Paid sick and safe time.
- Compassion leave and voting leave.
- Additional private medical coverage.
- Remote-first work arrangement; the source specifies being within commuting distance of Calgary, which may differ from the United States location stated for this listing.
- Opportunity to shape compensation intelligence and total rewards technology.
- Senior individual contributor scope with ownership of a defined compensation domain.
- Collaboration with Product, AI, data science, development, and applied expertise teams.
- Exposure to enterprise-scale compensation strategy and complex customer challenges.
- Opportunity to build scalable resources and influence product capabilities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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