The Global Compensation & Benefits Manager plays a critical role in shaping, managing, and continuously improving ABBYY’s global Total Rewards framework. This role combines strategic program ownership with handson operational execution across compensation, benefits, and governance. You will partner closely with the Director, Engagement and collaborate with Talent Acquisition, People Operations, Finance, Payroll, Legal, and thirdparty vendors to ensure our compensation and benefits programs are competitive, equitable, compliant, and aligned with ABBYY’s global philosophy. 

This role requires strong analytical capability, sound judgment, and an ability to translate complex data into clear insights and scalable solutions. You will influence global Total Rewards strategy while ensuring excellence and accuracy in daytoday program delivery.
 

Key Responsibilities 

Global Compensation Management 

• Lead preparation and delivery of the annual compensation cycle, including merit, promotion, market adjustments, and performance bonus administration. 

• Oversee global market benchmarking using compensation surveys (e.g., Radford, Mercer, Culpepper) and recommend adjustments to salary ranges and job architecture. 

• Partner with Talent Acquisition to set salary range positions, advise on offer strategies, and ensure internal equity. 

• Own and maintain global salary structures, ensuring alignment with market data, internal equity, and regulatory requirements. 

• Develop compensation dashboards, insights, and executive-ready recommendations. 

• Manage governance and compliance for all global compensation practices. 

Global Benefits Management 

• Oversee evaluation, design, and delivery of ABBYY’s global benefits programs, including health, retirement, statutory benefits, wellness, and regionspecific offerings. 

• Lead market assessments to ensure competitiveness, costeffectiveness, and alignment with global principles. 

• Manage renewals, broking activities, and open enrollment processes. 

• Develop employee-facing benefits materials (benefits guides, FAQs, communication plans) in partnership with Internal Comms. 

• Drive standardisation and harmonisation where appropriate, while respecting local statutory requirements. 

Data, Reporting & Governance 

• Own all global compensation and benefits data within HR systems and reporting tools. 

• Build and maintain regular and ad hoc C&B reporting covering cost, utilization, distribution, and program effectiveness. 

• Identify data gaps and drive improvements to processes, tools, and controls. 

• Support internal and SOX audit activity through accurate documentation and compliance with governance frameworks. 

• Uphold global data privacy requirements, including GDPR and local regulations. 

CrossFunctional Leadership & Vendor Management 

• Partner with People Operations to ensure accurate and timely execution of compensation and benefits transactions. 

• Collaborate with Payroll and Finance on costing, payments, and budgeting for compensation and benefits programs. 

• Manage relationships with global and regional vendors, ensuring SLA adherence and service quality. 

• Act as a subject matter expert for Engagement Partners and managers, providing guidance aligned with global Total Rewards frameworks. 

• Support clear, effective Total Rewards communication strategies across the organisation. 

Job Requirements

• 5–8 years of experience in Compensation, Benefits, or Total Rewards, with exposure to global programs. 

• Strong command of compensation benchmarking tools (Radford, Mercer, Culpepper). 

• Experience partnering crossfunctionally with TA, People Ops, Finance, Payroll, and Legal. 

• Prior experience supporting multiple countries and navigating diverse regulatory environments. 

• Experience managing vendors and external partners preferred. 

 Skills & Capabilities 

• Advanced analytical skills with exceptional attention to detail and data accuracy. 

• High proficiency in Excel/Sheets; experience with Power BI or Tableau a plus. 

• Ability to convert complex data into actionable insights and recommendations. 

• Strong influencing skills and ability to work in a global, matrixed environment. 

• Excellent organizational skills; able to lead multiple processes across global cycles. 

• Ability to maintain strict confidentiality and exercise sound judgment. 

• A global mindset, cultural awareness, and an inclusive approach to decision-making. 

 Tools & Technology 

• HRIS experience (HiBob preferred; equivalent systems such as Workday or SAP SuccessFactors also valuable). 

• Compensation survey platforms (Radford, Mercer, Culpepper). 

• Familiarity with global payroll or finance systems (e.g., ADP, NetSuite). 

Compliance & Governance 

• Knowledge of global statutory requirements, including statutory benefits, minimums, and local market norms. 

• Awareness of pay transparency regulations (EU/US) and their impact on compensation structures. 

• Strong understanding of data privacy laws (GDPR and local equivalents) and secure handling of compensation data. 

Here are some of our local benefits

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

Job Responsibilities:

Technical Leadership & Architecture

• Guide architectural decisions for computer vision and multimodal systems
• Drive implementation of novel ML approaches and best practices
• Lead technical design reviews and architecture discussions
• Establish patterns for model development and deployment
• Evaluate and introduce new technologies and methodologies
• Ensure technical excellence across ML initiatives

Team Mentorship & Growth

• Mentor senior and junior machine learning engineers
• Foster a culture of engineering excellence and knowledge sharing
• Guide career development of team members
• Lead technical discussions and learning sessions
• Review and provide feedback on technical approaches
• Help build and maintain high engineering standards

Technical Implementation & Scale

• Lead development of complex ML systems and architectures
• Guide optimization of model performance and efficiency
• Establish frameworks for model evaluation and validation
• Drive improvements in development and deployment processes
• Ensure production readiness and system reliability
• Architect scalable ML solutions

Job Requirements:

Education & Experience

• MS or PhD in Computer Science, Engineering, Mathematics, or related field
• 8+ years of experience in Machine Learning/AI
• Deep expertise in computer vision and deep learning
• Proven track record of leading successful ML projects
• Experience mentoring engineers and driving technical excellence

Technical Expertise

• Expert knowledge of computer vision and multimodal architectures
• Deep understanding of ML system design and scalability
• Strong programming skills in Python and modern ML frameworks
• Extensive experience with production ML systems
• Proven ability to solve complex technical challenges
• Strong background in performance optimization

Leadership & Communication

• Demonstrated ability to mentor and grow engineers
• Strong track record of driving technical decisions
• Excellence in technical communication and documentation
• Experience leading architectural discussions
• Ability to influence and drive consensus
• Track record of fostering team growth

This role offers the opportunity to shape both our technical direction and team growth while working on cutting-edge computer vision systems. The ideal candidate will combine deep technical expertise with strong mentorship abilities to drive both project success and team development.

Here are some of our local benefits:

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

About the role:

As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you'll work with experts who are creating market-leading technologies, using Machine Learning, Artificial Intelligence, and an advanced, sophisticated tech stack.

We are seeking a skilled Staff Software Engineer to drive the modernization and evolution of our C++ Computer Vision library, including the development of new algorithms specifically for Intelligent Document Processing (IDP). This role focuses on deep technical expertise to deliver robust, high-performance Computer Vision solutions that support our product teams. Our extensive library incorporates algorithms from Classical Computer Vision, Machine Learning, Deep Learning, to cutting-edge Multimodal models. The ideal candidate will design and implement core library architecture while mentoring team members and collaborating across functions to ensure the long-term success of our vision technology. Strong experience with Computer Vision concepts and algorithms is highly valued.

Job Responsibilities:

Technical Leadership & Innovation

• Design and implement major architectural improvements to our C++ Computer Vision library
• Drive technical decisions for library modernization, scalability, and performance
• Establish technical standards and best practices for C++ development
• Lead implementation of critical algorithms and optimization initiatives
• Design robust error handling, testing, and verification systems
• Develop solutions for code quality, maintainability, and developer experience

Technical Mentorship & Collaboration

• Mentor senior and junior engineers on technical challenges
• Provide expert guidance on complex modernization implementations
• Drive adoption of modern C++ engineering best practices
• Facilitate technical knowledge sharing and design discussions
• Contribute technical insights to roadmap planning
• Elevate team capabilities through knowledge transfer

Architecture & Innovation

• Design and implement high-performance, memory-efficient algorithms
• Lead major refactoring and modernization initiatives
• Develop new Computer Vision algorithms focused on Intelligent Document Processing
• Establish patterns for cross-platform compatibility
• Implement advanced optimization techniques
• Design library architecture for internal product teams
• Ensure robustness and reliability of production systems

Job Requirements:

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of software engineering experience
• Strong background in C++ development and cross-platform library design
• Cross-Platform experience in at least a couple of platforms: Windows, Linux, Mac
• Experience building and maintaining production-grade software systems

Technical Expertise

• Deep knowledge of modern C++
• Expertise in software architecture and design patterns
• Strong understanding of Computer Vision and Machine Learning algorithms and techniques
• Experience with performance optimization and profiling
• Knowledge of low-level system programming considerations
• Background in building maintainable, well-tested software components

Technical Leadership & Communication

• Experience technically guiding a team and mentoring engineers on technical challenges
• Track record of driving architectural and design decisions
• Strong team collaboration and communication skills
• Ability to work effectively across technical teams
• History of solving complex engineering problems

This role offers the opportunity to shape essential Computer Vision technology while growing technical leadership skills. The ideal candidate will combine deep C++, Computer Vision and ML expertise with the ability to implement complex technical solutions and mentor others.

Here are some of our local benefits:

About the role:

ABBYY is seeking an HR Systems Analyst to design, optimize, and scale systems that power the global employee lifecycle. This role sits at the intersection of People, Data, and Operations, ensuring a seamless, data-driven employee experience. 

You will own and integrate our core People tech stack (HiBob, Greenhouse, SharePoint, Power BI), transforming them into a unified, efficient system that drives automation, accuracy, and insight across the organization. 

Job Responsibilities: 

HR Systems Ownership

• Manage and optimize HiBob, Greenhouse, and related tools  

• Ensure data integrity, security, and system performance  

• Drive adoption and continuous improvement  

Workflow & Automation

• Design scalable workflows across hiring, onboarding, employee changes, and offboarding  

• Automate processes using Power Automate and native tools to reduce manual work  

Systems Integration

• Own integrations across HR, Finance, and IT systems (e.g., payroll, NetSuite)  

• Manage APIs and data flows to maintain a single source of truth  

1. Data & Reporting

• Build Power BI dashboards for workforce insights  

• Track key metrics (hiring, headcount, attrition, performance)  

• Deliver actionable insights to leadership  

1. Process Standardization

• Translate business needs into scalable system solutions  

• Establish global standards while supporting local flexibility 

Job Requirements:

• 4–7+ years in HRIS / People Systems roles  

• Experience with HiBob (or similar HRIS) and Greenhouse (or ATS)  

• Strong skills in SharePoint, Power BI, and workflow automation  

• Experience with APIs, integrations, and data pipelines  
• Proficiency in Excel; SQL preferred  
• Strong problem-solving and system-thinking mindset 

Here are some of our local benefits: