Veriff

👥 501-1000💰 $100,000,000 Series C about 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Fraud Detection Information Technology Cyber Security Identity Management💼 Private Company

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Veriff is a leading online identity verification company protecting businesses and their customers from digital fraud. We provide a highly automated platform that connects companies with trustworthy individuals, leveraging the power of machine learning and human expertise. Our unique approach combines AI for rapid, immediate feedback with manual checks by our verification specialists, ensuring robust security and a seamless user experience. We're a fast-growing, globally distributed company with a strong remote-first culture. Our technology stack includes NodeJS with TypeScript, Python, Docker, Kubernetes, GraphQL, RabbitMQ, and Salesforce, reflecting our commitment to modern, scalable solutions. We foster a collaborative engineering culture emphasizing code quality, innovation, and the ownership of features from initial ideation to final deployment. Our team thrives on tackling complex challenges and pushing the boundaries of online identity verification. Veriff's mission is to create a safer, more trustworthy online world. We're driven by our values of innovation, collaboration, and excellence. Backed by prominent investors like Accel, Alkeon, IVP, Tiger Global, and Y Combinator, we've experienced significant growth and have expanded our global presence to include offices in the U.S., U.K., Spain, and Estonia. We offer a rewarding work environment with full remote work options in several eligible locations, a comprehensive benefits package including extensive health insurance, stock options, and opportunities for professional growth and development. Join us in building the future of online trust.

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Jobs at this company:

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🔥 Senior Software Engineer

Posted 10 days ago

📍 United States, United Kingdom, Spain, Estonia

🔍 Software Development

🔧 Requirements

Prior experience building large-scale applications and approach problem-solving thinking in systems.
A curious and adaptable mindset when tackling complex challenges, applying a holistic perspective to develop well-thought-out, effective solutions.
A demonstrated ability to grow and foster growth within teams by setting new standards.
Experience in delivering, curating, and improving specific components, features, or systems.
A proven track record of developing, debugging, and shipping software products within large codebases in high-volume, high-traffic, and challenging environments.
Extensive experience working with various programming languages and technical stacks across different domains (frontend, backend, data science, mobile, etc.).
A Bachelor's degree in Computer Science, Computer Engineering, or a relevant engineering field.

💡 Responsibilities

Build & Scale: Design high-performance, maintainable, and secure systems that handle millions of verifications.
Lead & Mentor: Set the bar for technical excellence, sharing knowledge and guiding engineers.
Innovate & Optimize: Improve automation, scalability, and reliability.
Own & Deliver: Take responsibility for end-to-end development in collaboration with product and design.
Solve with a Holistic Mindset: Apply curiosity, adaptability, and multi-skill problem-solving to technical challenges.

AWSBackend DevelopmentLeadershipNode.jsPostgreSQLPythonSoftware DevelopmentFlutterFrontend DevelopmentFull Stack DevelopmentKotlinKubernetesRabbitmqReact NativeSoftware ArchitectureSwiftTypeScriptAlgorithmsAPI testingData StructuresREST APIReactCommunication SkillsAnalytical SkillsCI/CDProblem SolvingMentoringDevOpsTerraformWritten communicationMicroservicesAdaptabilityTeamworkSoftware EngineeringDebugging

Posted 10 days ago

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🔥 Verification Quality Control Specialist

Posted 26 days ago

📍 California, Colorado, Florida, Georgia, Idaho, Illinois, Massachusetts, New Jersey, New York, Oregon, Pennsylvania, Texas, Vermont, Virginia, Washington

🧭 Full-Time

💸 46400.0 - 58000.0 USD per year

🔍 SaaS

🔧 Requirements

Excellent verbal and written English skills.
A great communicator and can adapt your communication style to different audiences. You’re not afraid to challenge something when you need to!
Punctual, independent, proactive, and quick to get things done.
Able to assist and coordinate multiple focus areas and tasks.
Project management skills - You are able to identify, create and apply processes, methods and knowledge.
A keen eye for detail and looking for opportunities that will allow us to foster a continuous improvement mindset.

💡 Responsibilities

Performing tasks relevant to the QA function.
Maintaining a systematic overview and improving the overall execution of quality control services by conducting quality control checks.
Answering any questions from team members or clients related to the QA function.
Understanding and working with OKRs and executing on agreed Key Results and projects.
Creating structure and overseeing tasks and goals for both QA processes and related purposes.
Keeping our internal guidelines up to date and developing QA tool-related processes.
Working with data and conducting data analysis.
Creating and updating retrospectively traceable process change log for compliance purposes.
Sharing insights, knowledge, and learnings that reduce risk, complexity, effort, and challenges of the team.

Project ManagementSQLData AnalysisData MiningQAComplianceQuality AssuranceRisk ManagementProcess improvementData modelingSaaS

Posted 26 days ago

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🔥 Senior Data Curator

Posted about 1 month ago

📍 California, Colorado, Florida, Georgia, Idaho, Illinois, Massachusetts, New Jersey, New York, Oregon, Pennsylvania, Texas, Vermont, Virginia, Washington

🧭 Full-Time

💸 100000.0 - 125000.0 USD per year

🔍 Software Development

🔧 Requirements

Proficiency in Python (mid-level experience), with the ability to work in libraries like TensorFlow or PyTorch.
Strong SQL skills (mid-level), capable of querying and manipulating data efficiently for analysis and annotation purposes.
Experience with cloud platforms, especially AWS or Azure, and a familiarity with cloud computing best practices
Knowledge of version control systems such as Git, ensuring proper management of code and data.
A solid understanding of machine learning algorithms (supervised and unsupervised learning) and data analysis techniques, with a focus on improving model performance through data quality optimization.
Experience in data annotation and extraction: Familiarity with data annotation processes and an understanding of how data is labeled for machine learning use cases.
A strong interest in machine learning and a desire to transition into a more advanced data scientist role.
Ability to communicate effectively with both technical and non-technical stakeholders, providing clear insights from data and ensuring the alignment of models with business objectives.
A commitment to data quality: An understanding of best practices in data curation, quality assurance, and validation.

💡 Responsibilities

Curating, annotating, and preparing high-quality data to feed into machine learning models, ensuring data is accurate, clean, and aligned with the company’s standards.
Extracting and manipulating large datasets from various sources to support machine learning efforts and contribute to data model creation.
Interfacing with machine learning models: You’ll not be responsible for creating new models but will adapt and modify existing models as needed to enhance performance.
Ensuring data quality: Implement data validation techniques to assess data integrity and ensure the quality of annotations and datasets used in training.
Using version control systems like Git to track changes and maintain efficient workflows within the data team.
Applying statistical methods and machine learning algorithms (such as supervised and unsupervised learning techniques) to optimize data models.
Collaborating cross-functionally with data scientists to help interpret and utilize data in machine learning projects.
Continuing to enhance your skills in machine learning and data science, with a strong focus on using Encord (a data annotation tool) for optimizing data processing.

AWSPythonSQLCloud ComputingData AnalysisGitMachine LearningPyTorchTensorflowCommunication SkillsAnalytical SkillsProblem SolvingRESTful APIsData visualizationData modeling

Posted about 1 month ago

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🔥 Senior Database Engineer

Posted about 1 month ago

📍 California, Florida, Georgia, Idaho, Illinois, Massachusetts, Colorado, New Jersey, New York, Oregon, Pennsylvania, Texas, Vermont, Virginia, Washington

🧭 Full-Time

💸 157500.0 - 200000.0 USD per year

🔍 Software Development

🔧 Requirements

7+ years of experience as a Database Engineer, Data Platform Engineer, Software Engineer or similar role, with a proven track record in building and scaling database infrastructure.
Strong expertise in cloud infrastructure, particularly AWS, Kubernetes, and Terraform, with deep hands-on experience in deploying and maintaining large-scale database systems (e.g., PostgreSQL).
Experience managing large database deployments, having previously worked with and supported 10+ databases across multiple environments, ensuring seamless integration, high availability, and performance tuning.
Advanced knowledge of data architectures, including data lakes, warehouses, and pipelines, with the ability to design solutions that can handle high-throughput, real-time data processing.
Proficiency with Dataform for managing data workflows and transformations, enhancing the flexibility and efficiency of the data platform.
Experience in leading and mentoring teams, with a demonstrated ability to manage complex projects and collaborate with multiple stakeholders across engineering and product teams.
Proficiency in Python for automation, building data pipelines, and optimizing workflows across data systems.
Strong experience in automating processes and building infrastructure-as-code solutions using Terraform and other modern tools.
A deep understanding of networking and security practices, including managing network security for databases and protecting sensitive information.

💡 Responsibilities

Designing and implementing scalable, reliable data architecture that supports Veriff’s high-volume identity verification services.
Providing technical leadership to the Data Platform team, driving the vision, strategy, and implementation for data infrastructure, including databases, data pipelines, and abstraction layers.
Overseeing the lifecycle management of data systems, from database deployment and patching to backups, upgrades, and maintenance, ensuring reliability and compliance.
Managing and optimizing large database deployments, with experience handling 10+ databases at scale, ensuring performance, reliability, and data consistency.
Architecting cloud infrastructure solutions using AWS, Kubernetes, and Terraform, enabling the deployment and maintenance of large-scale, mission-critical database systems.
Leading efforts to implement and optimize Dataform for transforming and managing data workflows, and driving improvements in data pipeline efficiency.
Guiding on best practices for managing network security, data access, and privacy, ensuring sensitive data is secure throughout its lifecycle.
Collaborating with cross-functional teams (Product, Engineering, Data Science) to design data solutions that drive business value and ensure operational efficiency.
Monitoring and improving data system performance, scalability, and availability, ensuring Veriff’s data platform supports ever-growing demand.
Leading initiatives to optimize data systems, automate manual processes, and maintain high levels of data quality and consistency across services.
Participating in on-call shifts as part of an engineering leadership rotation, ensuring swift resolution of incidents and continuous improvement of operational processes.

AWSPostgreSQLPythonSQLApache AirflowCloud ComputingKubernetesMachine LearningData engineeringGrafanaPrometheusCI/CDRESTful APIsTerraformMicroservicesNetworkingJSONData visualizationAnsibleData modelingSoftware EngineeringData management

Posted about 1 month ago

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🔥 Senior Account Manager - USA

Posted about 1 month ago

📍 California, Colorado, Florida, Georgia, Idaho, Illinois, Massachusetts, New Jersey, New York, Oregon, Pennsylvania, Texas, Vermont, Virginia, Washington

🧭 Full-Time

💸 120000.0 - 155000.0 USD per year

🔍 SaaS

🔧 Requirements

8+ years experience as an Account Manager within the SaaS industry
Proven track record of meeting or exceeding quotas
Experience in data-driven performance assessments
Fluency in English; additional languages are a plus
Previous CSM/AM experience within the IDV/IDVaaS industry

💡 Responsibilities

Develop and maintain trust with customers
Ensure growth and product utilization
Identify opportunities for cross-selling and up-selling
Communicate effectively between customers and internal teams
Resolve customer issues and maintain trust

Data AnalysisCommunication SkillsAnalytical SkillsAccount ManagementFluency in EnglishCross-functional collaborationRelationship managementStakeholder managementCustomer SuccessSaaS

Posted about 1 month ago

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🔥 Senior Python Engineer (Fraud Engineering)

Posted 3 months ago

📍 Tallinn, Barcelona

🧭 Full-Time

🔍 Identity verification

🔧 Requirements

Over 5 years of experience building large-scale applications with Python.
Strong understanding of modular design approaches and SOLID principles in distributed systems.
Hands-on experience with building scalable and maintainable APIs and message-queuing concepts.
Proficiency in various test strategies, ensuring robust software solutions.
Solid understanding of fundamental relational database concepts.
Familiarity with structured logging systems.
Exceptional communication skills able to articulate technical ideas clearly.

💡 Responsibilities

Taking charge of the design, documentation, and validation processes for product and system development, ensuring top-notch quality and innovation.
Building, testing, and maintaining our automation services using Python, contributing to the efficiency and effectiveness of our platform.
Collaborating closely with a diverse team of engineers, data scientists, and machine learning experts to tackle complex challenges.
Owning and nurturing cross-functional partnerships to align goals and strategies.
Mentoring and guiding the team to ensure they are well-equipped with the necessary skills.

PythonMachine Learning

Posted 3 months ago

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