datasite

Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions. Our customers include the world’s leading investment banks, private equity firms, law firms, and corporations, across more than 170 countries. As a global equal opportunity employer, our strength in diversity comes from you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What’s yours? Invest your talents in us, and we’ll return the compliment. Click Here for more information

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🏢 datasite

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👥 5001-10000💰 $4,600,000 Post-IPO Equity about 2 years agoComputer and Network Security

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🏢 Two95 International Inc.

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🔥 Payroll Manager (Remote Opportunity)

Posted 2 days ago

📍 United States of America

💸 90000.0 - 140000.0 USD per year

🔍 SaaS technology and M&A transactions

Bachelor’s degree in accounting, finance, human resources, or a related field.
Certified Payroll Professional (CPP) required.
10+ years of domestic and international payroll processing experience.
Experience with Workday required; CloudPay system experience preferred.
Strong Excel skills at intermediate level or above.
Supervisory experience in a cross-functional, global team environment.
Extensive payroll processing knowledge for domestic and international teams.
Strong analytical and problem-solving skills.
Exceptional interpersonal and communication skills.

Oversee the accurate and timely processing of US payroll for 700+ employees.
Supervise a Sr. Payroll Analyst for international payroll in Canada, Brazil, and Costa Rica.
Ensure compliance with tax regulations and proper payroll tax reconciliation.
Prepare journal entries and account reconciliations during month-end close.
Troubleshoot payroll processing issues and manage tax filings with external vendors.
Collaborate with HR, legal, and finance teams on payroll regulations and communication.
Implement process improvements for payroll operations.

Posted 2 days ago

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🔥 Labeling Annotations Specialist

Posted 5 days ago

📍 United States of America

🔍 Mergers and Acquisitions (M&A)

2-3 years of hands-on experience as a labeling specialist/annotator.
2-3 years of completing various text labeling projects including document classification, NER, and NLP in English.
Training in Computer Science, Machine Learning, AI, Statistics, or related fields.
Experience working in various labeling platforms like Labelbox and Appen.
Ability to work independently and collaboratively with teams and product groups.

Annotate and provide analysis of data labeling projects.
Create meaningful labeling instructions for internal or external use.
Receive Data Science requests and convert them into labeling projects; establish timelines with milestones.
Meet daily, weekly, and monthly labeling annotation goals.
Audit various projects and provide useful feedback to the workforce.

Data AnalysisMachine LearningData science

Posted 5 days ago

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🔥 Sr HA-Systems Engineer

Posted 5 days ago

📍 United States, Canada, Costa Rica

🧭 Full-Time

💸 103050.0 - 179700.0 USD per year

🔍 M&A and high-value transactions technology

Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
8+ years of experience in systems engineering, infrastructure architecture, or related fields.
Proven track record of designing and implementing highly available, fault-tolerant systems in cloud or on-prem environments.
Experience with distributed systems, microservices architecture, and high availability patterns.
Proficient in cloud platforms (Azure, GCP, AWS) or on-prem data centers and cloud-native technologies.
Deep knowledge and understanding of Linux systems.
Experience using monitoring and observability tools (Prometheus, Grafana, Loki, etc.).
Strong coding/scripting skills in Python, Go, or Shell for automation.
Excellent problem-solving skills with a focus on resilience and scalability.
Strong communication skills with the ability to convey complex technical concepts to diverse stakeholders.
Ability to work independently and take ownership of projects from inception to deployment.

Architect and build highly available, fault-tolerant systems to support mission-critical applications.
Collaborate with cross-functional teams to design scalable, robust, and secure cloud-based solutions.
Develop strategies for disaster recovery, data replication, and failover processes.
Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal uptime and performance.
Conduct load testing, capacity planning, and performance tuning to meet high availability requirements.
Utilize monitoring tools to proactively detect issues and minimize downtime.
Develop and maintain infrastructure as code (IaC) using tools like Terraform and Ansible.
Implement automation for deployments, scaling, and configuration management to reduce manual intervention and increase system reliability.
Lead incident response and root cause analysis for system outages, ensuring quick resolution and prevention of future incidents.
Build and maintain robust monitoring, alerting, and diagnostic systems for proactive issue identification.
Provide technical leadership, mentorship, and guidance to junior engineers.

AWSDockerPythonGCPKubernetesAzureGoGrafanaPrometheusCI/CDLinuxTerraformMicroservicesAnsible

Posted 5 days ago

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🔥 Labeling Annotation Specialist

Posted 24 days ago

📍 United States of America

🔍 Mergers and Acquisitions (M&A)

2-3 years hands-on experience as a labeling specialist/Annotator.
2-3 years completing text labeling projects (document classification, NER, NLP) in English.
Training in Computer Science, Machine Learning, AI, Statistics, or related field.
Experience working in various labeling platforms (Labelbox, Appen, etc.).
Ability to work independently and collaboratively on multiple projects.
Professional interaction with internal/external clients/customers.
Ability to rapidly acquire new domain knowledge.

Annotate and provide analysis of data labeling projects.
Create meaningful labeling instructions for internal or external use.
Receive Data Science requests and convert them into labeling projects with viable timelines.
Meet daily, weekly, and monthly labeling annotation goals.
Audit various projects and provide useful feedback for internal and external workforce.

Artificial IntelligenceData AnalysisElasticSearchMachine LearningData scienceCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationMultitaskingDocumentation

Posted 24 days ago

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datasite

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