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As the DevOps Infrastructure Team Leader, you will manage a team of five engineers, focusing on building and maintaining robust, scalable systems. You will play a pivotal role in Load Balancer logic, Web Application Firewalls (WAF), Identity Management, and Secret Management. Your expertise in automation, virtualization, and orchestration tools will help us improve our infrastructure processes while ensuring high availability and performance.
What you'll do:
Manage a team of 5 DevOps engineers in a hands-on tech leadership role.
Design, implement, and manage Load Balancer architectures and WAF configurations.
Oversee Identity and Secret Management processes to ensure secure and efficient access control.
Maintain server infrastructure using Infrastructure as Code (IaC) principles via Terraform and Ansible.
Drive automation initiatives to improve operational efficiencies and reduce manual interventions.
Work with virtualization and orchestration tools to streamline deployment processes.
Build reliable and robust systems that can handle high loads and ensure performance standards are met.
Manage multiple projects simultaneously while maintaining a keen eye on delivery timelines and quality.
Collaborate with cross-functional teams to enhance system configurations, deployment pipelines, and monitoring solutions.

Were looking for a Full Stack Team Leader who is a tech enthusiast with a drive for excellence and an out-of-the-box mindset to deliver business solutions in a complex payment environment.
What Youll Do
Lead an autonomous team of software engineers working closely with Product Management to achieve business goals.
Collaborate with Product, Design/UX, DevOps, and other R&D teams.
Provide technical authority through hands-on leadership and mentorship.
Drive the overall design, development, architecture, code quality, and deployment of your teams solutions.
Focus on developing and growing your team members.
Ensure engineering best practices (code reviews, testing coverage, agile methodologies).

we are hiring a Senior Frontend Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
Design and maintain features in scalable and high-performance web applications
Implement and optimize design systems to ensure consistency, usability, and maintainability
Improve build processes and frontend architecture to enhance efficiency and developer experience
Write clean, maintainable, and testable code following best practices
Debug, troubleshoot, and upgrade software to ensure stability and performance
Collaborate with cross-functional teams, including product managers, designers, and backend engineers, to deliver high-quality features
Stay up-to-date with emerging frontend technologies, frameworks, and best practices to drive continuous improvement

We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:Empty heading
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.

Required Director of Product - Payroll Ecosystem
About us:
We help modern, mid-size businesses transform the way they manage people, money and finance, giving managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the People platform of choice for over 4000 midsize and multinational companies.
Our platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies across the globe such as Monzo, Happy Socks, Fiverr, and VaynerMedia rely upon Bob to help them create the best work experiences for their people.
Come and be you with us:
We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
Our best-in-class product is expanding its offering into the CFO office including an end-to-end Payroll & Benefits and launching additional Fin-tech modules. The Director Of Product role will oversee several products in the IL and EU, expand our native in-house payroll solutions as well as a wide variety of payroll integration solutions, working closely with our strategic partners and lead the way to plan, build and launch new modules for the Finance persona.
Drive 0-to-1 new module expansion in the FinTech space - from concept, discovery, validation, execution to launch and early-market adoption. Build an AI-first roadmap, using agentic capabilities to deliver differentiated solutions.
Own the payroll & benefits marketplace strategy ,identify high-value use cases and strategic partners-led opportunities across workforce and fintech ecosystems. Oversee the execution of scalable, monetizable API/MCP/Data-Feed solutions.
Collaborate with Marketplace teams - both tech and business - to expand the ecosystem and unlock new Partner-led commercial opportunities.
Champion modern AI product practices (Cursor, Make, Speckit, BMAD, vibe coding/prototype) and elevate PM AI capabilities through coaching and leadership.
Lead multi-geo, cross-functional initiatives with Engineering, TPM, Design, Compliance, PMM and Customer-Facing teams to deliver high-quality, compliant, scalable products. Lead work streams across various modules that act as inputs or outputs to payroll, such as Time & Attendance, Compensa.

Required Senior Backend Engineer
About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~5000 midsize and multinational companies and over 1 Million users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
Come and be you with us
We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
What will you do?
As a Backend Engineer on the team, youll have a key role in developing our product and its unique features, working closely with our Product team. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders.
About the Platform group
The Platform Group accelerates our productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, youll help shape the technical foundation that supports our entire engineering team.
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

we are seeking an experienced Product Owner to lead operational aspects of our SaaS platform. This role focuses on ensuring supportability, reliability, and scalability across the platform, collaborating closely with R&D and Cloud Operations teams. You will drive requirements and priorities for monitoring for all aspects of operations and cost, tenant management, tools for support, and onboarding. This role is critical to meeting our clients service level expectations for a modern SaaS offering to handle all aspects of Financial Crime and Compliance management.
How will you make an impact?
Embed auditing, compliance, and security controls into operational workflows to reduce risk and ensure regulatory adherence.
Deliver onboarding tools and administrative consoles that accelerate tenant setup and improve operational efficiency for internal support teams.
Implement deployment automation and configuration migration processes that shorten release cycles and minimize errors.
Optimize resource utilization and cost efficiency through measurable KPIs and proactive capacity planning.
Achieve high availability and disaster recovery objectives by validating performance testing strategies in collaboration with R&D and Cloud Ops.
Establish robust monitoring, logging, and troubleshooting capabilities that enhance platform reliability and reduce mean time to resolution (MTTR).

we are seeking a Full Stack Team Lead to drive AI-first development across our core platform.
As an AI-first company, we integrate artificial intelligence into every facet of our operations, from product development to internal processes. In this role, you'll lead a team of 5-6 dedicated full-stack developers, working on cutting-edge technologies to enhance user experiences and data-driven solutions.
You'll have the autonomy to make technical decisions and support other developers in a collaborative environment.
What You Will Do:
Lead Development Initiatives: Guide a team of full-stack developers in building core applications, ensuring the integration of AI-driven features.
Mentorship: Provide technical guidance to engineers, fostering their growth and promoting best practices in AI-assisted development.
Architectural Decisions: Make hands-on technical decisions for backend (Java + AWS) and frontend (React/Angular) components, incorporating AI tools where applicable.
Code Quality: Write clean, maintainable, and efficient code, setting high standards for code quality and review practices.
Cross-Functional Collaboration: Work closely with Product teams to prioritize features, estimate work, and keep projects on track, leveraging AI to streamline processes.
Innovation: Identify pain points and drive improvements in our codebase and processes, utilizing AI to enhance efficiency.
Team Motivation: Ensure daily alignment, remove blockers, and champion best practices within the team.

We are seeking an accomplished Senior Product Analyst to be a strategic analytics partner to product teams throughout the entire product lifecycle. In this role, you will spearhead data-driven discovery, experimentation, optimization, and go-to-market enablement for new products and features. As the analytics expert, you will provide strategic guidance across departments, leveraging your extensive business analysis background. The Senior Product Analyst will be instrumental in decoding product performance and user behavior, identifying opportunities, and driving continuous improvement. If you have a strong product analytics foundation along with excellent storytelling abilities to influence product decisions, this could be an ideal next career step.
Location: Tel Aviv, Israel
Hybrid
Full-time
What youll do: 
Act as the embedded analytics partner for product managers from ideation through discovery, research, planning, execution, and launch.
Conduct deep-dive analyses to uncover customer needs, validate hypotheses, estimate business impact, and monitor KPIs during all product lifecycle stages.
Design and execute experiments and A/B tests to validate new features.
Analyze results, synthesize insights, and deliver product optimization recommendations.
Build robust, self-serve dashboards, reports, and alerting to track core metrics and enable self-serve data-driven product decisions.
Proactively analyze customer data, usage patterns, and market trends to surface opportunities and potential friction areas.
Partner with data engineering to influence the data platform roadmap based on evolving data needs.
Embrace process improvements and automation by championing new analytics capabilities.
Mentor other Product Analysts.

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projects-from data exploration to deployment-helping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecycle-from problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

What youll be spending your time on: 
Shape the Future: Lead the charge in growing our business by crafting new and exciting products and features that resonate globally.
Own the innovation journey: Be the mastermind behind products that leave a lasting impact on millions of businesses worldwide.
End to End Excellence: Take charge of the entire product life cycle, from sparking ideas to launching and beyond. Dive into market and user research, define KPIs, and execute with precision.
Strategic Roadmapping: Plan and execute product roadmaps, navigating the dynamic landscape of Fintech with creativity and precision.
Innovation First: Innovate and prioritize products that stand out in a crowd, bringing fresh ideas to the table and shaping the future of finance.
Collaborative excellence: Interact seamlessly with other company teams, maximizing your influence on our growth trajectory and overall business success.

We are looking for a Senior Researcher who wants to move beyond tactical testing and into the heart of business strategy. You will lead the research agenda for entire product domains, working across our global ecosystem to solve complex problems for both SMBs and large enterprises. This is a rare opportunity for someone who wants to see their insights directly influence pricing, market entry, and product roadmaps with a high level of organizational adoption. If you want to tackle high difficulty puzzles in the fintech space while having a clear and measurable impact on company growth, this is the team for you.
What you'll do:
Research Leadership and Strategy: Lead research across domains like FX and compliance to align insights with company goals. You will define the research agenda and bring clarity to ambiguous customer problems.
Methodological Excellence: Design and execute mixed-methods research while maintaining high ethical and methodological standards. Synthesize multi-segment data into clear strategic direction for the business.
Cross-Functional Influence: Partner with Product, Design, and Engineering teams to integrate customer insights into decision-making. Use engaging storytelling to advocate for customer needs and influence prioritization.
Impact and Outcomes: Deliver strategic studies that drive measurable improvements in retention, activation, and market entry. Your work will directly shape product launches and pricing strategies through data-backed evidence.
Mentorship and Team Growth: Coach junior researchers to strengthen the teams analytical and storytelling capabilities. Foster an inclusive environment focused on accountability and continuous improvement.

we are looking for a Senior DevOps Engineer with a strong software development background to build and evolve our internal DevOps platform. You will sit at the intersection of Platform Engineering, SRE, and MLOps - owning the infrastructure and tooling that powers production and enables our developers and data teams to move fast, safely, and with confidence.
If you believe DevOps should be a self-service platform, love automation, and naturally think in systems and end-to-end flows, keep reading.
What You Will Do:
Build a DevOps Platform (Platform-as-a-Product): Create internal services and golden paths that scale across teams (self-service over ad-hoc, repeatable over personal support).
Own CI/CD End-to-End: Design, build, and maintain Jenkins and GitHub Actions pipelines that move code from commit to production with high reliability, visibility, and safety.
Operate and Evolve Our AWS Stack: Hands-on ownership of AWS, including services such as ECS, EKS, Lambda, WorkSpaces, DynamoDB, Redshift, S3, DocumentDB (and the surrounding networking, IAM, observability, and deployment patterns).
Enable MLOps and Data Workflows: Support and automate ML and data pipelines using tools like Airflow, MLflow, and Jupyter Notebooks (plus integrations with compute, storage, and security controls).
Automation First: Eliminate manual work through Infrastructure-as-Code, scripting, and internal tooling. Build reusable components instead of one-off solutions.
Cost Optimization (FinOps): Drive cost visibility and optimization (tagging, budgets/alerts, rightsizing, workload efficiency, and practical trade-offs between cost and reliability).
Security Ownership: Bake security into pipelines and infrastructure (least privilege, secrets management, supply chain controls, vulnerability scanning, hardening, and incident readiness).
Leverage AI to Move Faster: Use AI tools such as Cursor, GitHub Copilot, and Claude Code to accelerate delivery (without compromising quality, security, or reliability).
Cross-Team Collaboration: Partner with Engineering, Data, and AI teams to unblock delivery, improve developer experience, and keep production stable.