Senior Manager, Total Rewards

Camunda; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Camunda is a leading enterprise platform for orchestrating AI agents, people, and systems across complex business processes. This role heads global Total Rewards, owning compensation, benefits, equity, and recognition, and partners with People, Finance and Legal to ensure competitive, compliant programs worldwide.

You will shape an AI-forward Total Rewards strategy, drive the annual compensation cycle, manage job architecture and leveling, and apply data-driven methods to benchmarking and

Qualifications

• Minimum 8+ years in Global Total Rewards operations.
• Experience with compensation, benefits, equity, and recognition.
• Strong data analytics and modeling skills.

Responsibilities

• Own global Total Rewards strategy across compensation, benefits, equity, and recognition.
• Lead AI-informed compensation design roadmap.
• Oversee annual compensation cycle including merit, promotion, and equity planning.
• Manage job architecture, leveling, and job catalog accuracy.
• Apply AI and data-driven methods to leveling and calibration.
• Conduct market benchmarking and provide data-driven leadership recommendations.

Skills

Global Total Rewards

Compensation design

Equity planning

AI/automation in rewards

Benchmarking analytics

Job description

About the role

Camunda is an enterprise platform for agentic orchestration that coordinates AI agents, people, and systems across complex business processes. This role leads global Total Rewards, owning compensation, benefits, equity, and recognition and partnering with People, Finance, and Legal to ensure competitive, compliant programs in every country Camunda operates.

What you'll do

• Own the global Total Rewards strategy across compensation, benefits, equity, and recognition
• Set an AI-forward vision for compensation design and translate it into a practical roadmap
• Lead the annual compensation cycle including merit, promotion, and equity planning
• Own job architecture, leveling, and grading frameworks and keep the Job Catalog accurate
• Apply AI and data-driven approaches to job leveling, calibration, and level-drift detection with human oversight
• Run market benchmarking and provide data-driven recommendations to leadership

What they're looking for

• 8+ years of Global Total Rewards experience in technology or SaaS
• Hands-on experience leading global compensation cycles and market benchmarking tools
• Experience managing benefits, EOR, and equity vendor relationships
• Strong analytical and modeling skills with the ability to translate data into practical recommendations
• Working knowledge of pay transparency, pay equity, and compensation regulations across multiple jurisdictions
• Experience using AI and automation to improve rewards analytics and workflows

For applicants in Nigeria

• The listing states worldwide eligibility, fully remote, global; Nigeria is allowed given worldwide eligibility
• Timezone expectations are not specified; confirm during interview
• Contract type not specified; not enough information to determine if EOR or payroll applies
• Pay currency or range not specified in the listing
• No visa or work-authorization notes beyond worldwide eligibility