Senior Manager, Total Rewards
Camunda | Remote
Περιγραφή εμπορευμάτων
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.
Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team.
Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies, We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading.
About the Role:
We are hiring a Sr. Manager, Total Rewards to lead the design, delivery, and continuous improvement of Camunda’s global compensation, benefits, and equity programs. This person will partner closely with the People team, Finance, and Legal to make sure our rewards are competitive, equitable, compliant, and easy to understand in every country where we operate. This is a hands-on, strategic role for a rewards leader who wants to build and run programs as a trusted business partner, not just administer them. The right candidate will bring deep technical rewards expertise, strong AI and analytical skills, and a passion for a great employee experience. We also expect this leader to be AI-forward in how we approach compensation strategy and job leveling, not only in how they use AI to get their own work done. That means using AI and data-driven methods to shape pay philosophy, benchmark and model market data, design and calibrate our job architecture and leveling framework, and make faster, more consistent, and more transparent rewards decisions.
What you'll be doing:
• Own the global Total Rewards strategy across compensation, benefits, equity, and recognition, and make sure it helps Camunda attract, retain, and motivate top talent. Set an AI-forward vision for how Camunda designs and runs compensation, and turn it into a practical roadmap.
• Lead the annual compensation cycle, including merit, promotion, and equity planning, in partnership with People Business Partners, Finance, and business leaders.
• Own job architecture, leveling, and grading frameworks, and keep the Job Catalog accurate as the company grows. Apply AI and data-driven approaches to job leveling, such as consistent role-to-level mapping, calibration, and level-drift detection, with human oversight.
• Run market benchmarking and compensation analysis, and turn the findings into clear, data-driven recommendations for leadership. Use AI to speed up and improve benchmarking, pay modeling, and scenario analysis.
• Manage benefits programs and vendor relationships across regions, including EOR providers such as Remote.com, brokers, and equity administration platforms, with a clear view of cost, service levels, and employee value.
• Ensure compliance with pay transparency, pay equity, and local compensation and benefits regulations in every jurisdiction where Camunda operates.
• Partner with Finance on compensation budgeting and equity pool management, and track total rewards spend against a clear baseline.
• Advise People Business Partners and hiring managers on offers, pay decisions, and exceptions, balancing internal equity, market data, budget and capturing and retaining strong AI talent..
• Identify and adopt AI and automation tools that improve rewards analytics, benchmarking, and employee communications, and ensure AI use complies with local laws and regulations.
• Lead, coach, and develop the Total Rewards team, setting clear priorities and growth paths.
• Manage Camunda’s Relationship with our EOR.
What you bring:
• Ability and/or willingness to use our product.
• Bachelor’s degree in HR, Finance, Business, or a related field. A CCP, CEBS, or similar certification is a plus.
• 8+ years of Total Rewards experience, including significant compensation and benefits experience at a global, multi-country technology or SaaS company.
• Hands-on experience leading a global compensation cycle (merit, promotion, and equity) and running market benchmarking with tools such as Radford, Pave, or similar.
• Experience managing benefits, EOR, and equity vendor relationships, including platforms such as Remote or similar.
• Strong analytical and modeling skills, with the ability to translate complex data into practical, business-pragmatic recommendations.
• Working knowledge of pay transparency, pay equity, and compensation regulations across multiple jurisdictions, ideally including the EU and USA.
• Experience using AI and automation tools to improve rewards analytics and workflows.
• AI-forward approach to compensation strategy and job leveling, with real examples of using AI or advanced analytics to shape pay philosophy, model market data, build or calibrate job architecture and levels, or improve pay decisions, and the judgment to keep humans accountable for fairness, compliance, and explainability.
• Excellent written and verbal communication, with the ability to build trust across People, Finance, and Legal.
• Experience leading or developing a team and influencing senior stakeholders.
This role is an existing vacancy
#LI-JS1 #LI-Remote #C1
What We Have to Offer:
Compensation
We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech
Απαιτούμενες δεξιότητες
People
Λεπτομέρειες εργασίας
Εμπειρία: 0 έτη
Αναρτήθηκε: 49 minutes Πριν από
Προβολές: 4
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