NLP Jobs in Budapest.
All active NLP roles based in Budapest.
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Quantitative Researcher
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Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
- Your core objective is to create high quality predictive signals.
- By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
- Share and discuss research results, methodology, data sets and processes with other researchers.
- Implement the signals and the relevant datasets within the global execution platform.
- Monitor signal behaviour and model performance over time.
- You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
- Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
- Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
- Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
- Experience in exploring large datasets across multiple time frames is a plus.
- Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
- Capacity to work with autonomy within a collegial and collaborative environment.
- Strong capacity to communicate with technologists, data scientists and traders across the globe.
- Proven track record in delivering successful systematic strategies.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Ready to apply?
Apply to Qube Research & Technologies2026 - Internship, Quantitative Research/Trading
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Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.
Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.
We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.
Your future role at QRT
Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact.
As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies:
Research
Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.
Trading
You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production.
We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us.
Your present skillset
- Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering
- High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus
- Coding skills required in at least one leading programming language (Python and C++ or C#)
- Experience in exploring large datasets across multiple time frames is a plus
- Capacity to multi-task in a fast-paced environment while keeping strong attention to detail
- Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.
- Excellent communication skills
- Fluent in English, any other language is a plus
Interviewing:
- Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.
- Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.
We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance
Ready to apply?
Apply to Qube Research & Technologies
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
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
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
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:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
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:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
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:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
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:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
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
- Data & Reporting
- Build Power BI dashboards for workforce insights
- Track key metrics (hiring, headcount, attrition, performance)
- Deliver actionable insights to leadership
- 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:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Director, Software Engineering
Share this job
Position Overview
Lead the Future of GRC (Governance Risk & Compliance) Technology!
We’re looking for a strategic technical leader with a track record of building great teams, delivering scalable systems, and transforming engineering organizations. If you thrive in complex problem spaces, love building world-class platforms, and want to play a key role in our AI-native transformation, we want to talk to you.
Key Responsibilities
- Build high-performing, AI-enabled teams that deliver real value fast—especially within our Budapest Global Center for Product Innovation
- Lead engineering for one or more of our strategic products, driving design, delivery, and quality across multiple agile teams
- Architect for the future: Define technical strategy, system architecture, and integration of AI/ML-powered components
- Champion engineering best practices—from design and security reviews to continuous delivery and reliability
- Infuse AI into the product: Identify, prioritize, and implement opportunities for machine learning, NLP, and intelligent automation
- Be a cultural builder: Create a space for innovation, ownership, and continuous learning
- Partner across disciplines—Product, Design, Data Science—to deliver high-impact outcomes
- Ensure ethical, secure, and privacy-conscious implementation of AI and data capabilities
- Inspire through leadership: Mobilize the team in moments that matter, from solving critical customer issues to celebrating key wins
- Contribute to company-wide strategy and help shape the future of Diligent's global technology organization
Requiered Experiences/Skills
- 7+ years of engineering leadership experience, including multiple years building SaaS products
- A strong track record of scaling products and teams, especially in fast-moving, innovative companies
- Passion for mentoring engineering leaders and building inclusive, high-performance cultures
- Deep familiarity with modern cloud-native architecture
- Experience with AI/ML platforms and integrating AI into customer-facing products
- Understanding of AI ethics, data governance, and responsible AI principles
- Proven success in leading agile delivery at scale and fostering DevOps/SRE mindsets
- Sharp business instincts, with the ability to collaborate cross-functionally and drive product strategy
- Excellent communication and influence skills at executive and organizational levels
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Manager, Software Engineering
Share this job
Position overview:
We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform.
You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development.
This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who:
- Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences.
- Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands.
- Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions.
- Wants to lead by example and elevate the team — technically, culturally, and strategically.
Key Responsibilities
- Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery.
- Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value.
- Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices.
- Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches.
- Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility.
- Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration.
- Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability.
- Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly.
- Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions.
What You’ll Bring
- 7+ years of professional software engineering experience, including 3+ years in a people management role.
- A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs.
- A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right.
- Strong experience leading teams in agile environments, balancing delivery speed with technical quality.
- Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc.
- Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development.
- Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible).
- Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly.
Preferred Experience
- Hands-on background in .NET, Angular, Python or Node.js
- Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases
- Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems.
- Track record of shipping high-quality, user-centered products.
- A natural drive to push boundaries, learn fast, and make others better around you.
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation