Senior Domain Expert, Total Rewards
Jobgether
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Skills named in this job
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This role on the market
61 open rewards roles across 43 companies are on ApplySarthi right now, most of them in Bengaluru (3), Hyderabad (1), Delhi NCR (1).
- Director, People Operations & Total RewardsFiligran
- Senior Global Rewards AnalystOutreach
- Senior Associate- Rewards ProductJPMorgan
- Lead - Rewards 3Genpact
- Senior Specialist - Rewards OperationsJll · delhi ncr
What rewards roles keep asking for: Stakeholder management (18%), Excel (16%), Workday (15%) — counted across their open postings here.
Jobgether has 3,942 open roles listed here.
- AI Researcher — Distillation
- AI Researcher — Distillation
- Art Director
- Applied ML Engineer
- AI Science Writer, Nebius Academy (Contract)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for rewards roles keep coming back to Stakeholder management, Excel, Workday. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with SaaS? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Domain Expert, Total Rewards at Jobgether interview free →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.
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Listed on lever · posted 2026-09-24. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.