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We are looking for a Product Security Engineer to join our Product Security team and help strengthen security across our products and software development lifecycle.
The role is hands-on and engineering-focused, working closely with development and product teams to identify security risks, improve application security, and implement practical security solutions throughout the development lifecycle.
In this role, you will be responsible for:
Work closely with development and product teams on application and product security throughout the software development lifecycle.
Perform hands-on security reviews of applications, APIs, services, and code.
Identify, investigate, validate, and assess product security vulnerabilities and security findings.
Provide practical remediation guidance and work with development teams through remediation.
Perform threat modeling and security analysis for new and existing product capabilities.
Work with application security tools and technologies including SAST, SCA, DAST, API Security, WAF, and related security controls.
Improve and automate Product Security processes, tooling, and security checks across the development lifecycle.
Assess security across modern application environments including web applications, APIs, microservices, containers, Kubernetes, and cloud-native services.
Support secure coding practices and provide practical security guidance to development teams.
Support vulnerability disclosure and Bug Bounty activities, including technical validation, risk assessment, and remediation follow-up.
Contribute to the continuous improvement of Product Security practices and capabilities across our engineering organization.

We are looking for a Senior Product Security Architect to join our Product Security team and help strengthen security across our products and software development lifecycle.
The role is hands-on and engineering-focused, working closely with development and product teams to identify security risks, improve application security, and implement practical security solutions throughout the development lifecycle.
In this role, you will be responsible for:
Work closely with development and product teams on application and product security throughout the software development lifecycle.
Perform hands-on security reviews of applications, APIs, services, and code.
Identify, investigate, validate, and assess product security vulnerabilities and security findings.
Provide practical remediation guidance and work with development teams through remediation.
Perform threat modeling and security analysis for new and existing product capabilities.
Work with application security tools and technologies including SAST, SCA, DAST, API Security, WAF, and related security controls.
Improve and automate Product Security processes, tooling, and security checks across the development lifecycle.
Assess security across modern application environments including web applications, APIs, microservices, containers, Kubernetes, and cloud-native services.
Support secure coding practices and provide practical security guidance to development teams.
Support vulnerability disclosure and Bug Bounty activities, including technical validation, risk assessment, and remediation follow-up.
Contribute to the continuous improvement of Product Security practices and capabilities across our engineering organization.

We are looking for a skilled and passionate IT Engineer to join our IT team! If you have a strong service orientation, deep technical expertise across diverse environments (Windows & Mac), and the drive to take end-to-end ownership of endpoint management, security, and cutting-edge IT tools (including AI)- this is the place for you.
In this role, you will be responsible for:
Primary responsibility is user support and service. Respond to help desk calls, online submittals, walk-ins, and emails in a timely manner. Document help desk resolutions and follow up with users to ensure the resolution is satisfactory.
Assist users with account logins, password resets, VPN connections, FW permissions, server access, certificates & more.
Setup, install, and configure new computers, networks, and software (Windows and Mac).
Responsible for the Onboarding and Offboarding processes in IL site (part of a team)
Support Microsoft AD and 3rd party applications and platforms (Google Workspace, Office 365, Intune, Zoom etc.)
Manage and support Windows and Mac endpoints using Microsoft Intune, including device enrollment, application deployment, configuration policies, and troubleshooting.
Support hardware problems (printers, projectors, peripherals, etc.).
Working with vendors (Orders, support, licensing)
Create and follow standard IT procedures.
Use AI tools to assist with troubleshooting, documentation, automation, and day-to-day IT tasks.
Manage and maintain the IT ticketing system and support its day-to-day operation.

We seek a dynamic and experienced Cyber Security Engineering Tech Lead to join us! This role presents an exciting opportunity to work in a fast-growing company with great opportunities to make a difference.
In this role, you will be responsible for:
Design, implement, and maintain security architectures and controls across the organization's Cloud, SaaS, AI, and Corporate environments.
Secure enterprise infrastructure by strengthening cloud security, protecting sensitive data, managing identity and access, and continuously improving the organization's security posture.
Deploy, operate, and optimize enterprise security technologies across Identity, Endpoint, Network, Email, Cloud, SaaS, Data Protection, and Security Operations domains.
Identify, prioritize, and remediate security risks, vulnerabilities, cloud exposures, and SaaS security findings.
Lead end-to-end security projects across multiple teams, collaborating with Engineering, DevOps, IT, and Security Operations to implement scalable security solutions and drive automation.
Support the secure adoption of AI technologies while ensuring security controls align with industry best practices and frameworks such as ISO 27001, SOC 2, NIST CSF, and CIS Controls.

We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across our core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
Why join us?
We are the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Our partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in our proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.
Responsibilities:
Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it.

We are seeking for a passionate and skilled Validation Engineer to join our core R&D team. As a Validation Engineer, you'll play a critical role in ensuring the quality, reliability, and performance of our state-of-the-art quantum control systems. You will design, develop, and execute validation plans for complex hardware-software systems, contributing directly to the advancement of quantum technologies.
This role is ideal for engineers with good programming skills, a strong technical culture, and a passion for working at the intersection of software, hardware, and quantum science.
Main Responsibilities:
Design and Implement Validation Methods: Design, implement and execute comprehensive validation test plans for our quantum control platforms and solutions
Automated Tests and Automation Frameworks: Contribute to the development of automated testing infrastructures to streamline validation processes and implement system tests based on the defined test plans
AI/ LLM Tools: Apply AI/LLM tools to accelerate test code generation and continuously improve the validation toolchain, driving measurable gains in engineering productivity
Data Analysis: Collect, interpret, and document data from system tests/experiments to assess system performance and identify areas for improvement
System Debugging & Troubleshooting: Identify, reproduce, and analyze issues across system components with other engineering teams
Collaborate Across Teams: Collaborate closely with R&D and product teams to define test coverage and quality acceptance criteria
Release & Quality Assurance Process: Participate in regression testing and CI/CD for new feature rollouts and product releases
Maintain and Improve Test Setups: Oversee the setup, calibration, and enhancement of test equipment and environments.