Jobs in Tel Aviv-Yafo

Description Responsibilities • Reach out to a high volume of outbound leads and follow up on inbound leads from multiple sources • Work against new business goals on a weekly, monthly, quarterly, and annual basis • Partner closely with Marketing and Account Executives to nurture leads from first contact through to valid opportunities • Collaborate across Sales, Marketing, and Product to share critical customer feedback • Regularly monitor leading indicators of success and report on pipeline health • Drive systems, AI tools, and process improvements that grow the new business pipeline • Help build and refine a scalable training and development curriculum for the SDR team • Establish and maintain effective 1:1s, weekly meetings, and outreach cadences About Incredibuild Incredibuild — the pipeline acceleration company — empowers developers to radically accelerate their work by shortening build times, supporting agentic AI development needs, and enabling more iterations and faster product releases. Hundreds of customers, including world-leading brands, trust our platform to streamline and accelerate everything from compilation to release automation, saving significant resources and accelerating time-to-market. We’ve helped over 200,000 developers at tech giants like Microsoft, Samsung, Nintendo, and Amazon build some of the most successful software across industries such as gaming, financial services, embedded software, automotive, and more. In recent years, Incredibuild has been in hyper-growth, expanding globally while adapting our solutions and operations to the changing market landscape to keep growing our market share. This is your opportunity to join a category leader and make a difference. The Position We are looking for an experienced and talented SDR professional to join our fast-growing sales organization! In this role, you’ll help establish our Sales Development function, reaching out to a high volume of outbound leads and following up on inbound leads generated from multiple sources. You’ll work closely with the Marketing and Account Executive teams to nurture leads from initial contact through to valid opportunities and closed-won deals, and you’ll be measured against new business goals on a weekly, monthly, quarterly, and annual basis. We’re looking for someone who can bring structure to 1:1s, weekly meetings, and overall cadences, and who’s comfortable refining processes and implementing new systems. You should be passionate about working in a team environment and bring the accountability needed to grow our business funnel significantly.  Requirements Requirements • At least 1 year of experience in an SDR role • Proven ability to work against aggressive weekly targets • Highest level of self-discipline and professionalism • Strong interpersonal and communication skills, with the ability to work effectively across a wide range of stakeholders • Detail-oriented, organized, and a self-starter • Solid understanding of SDR, sales, and CRM processes and systems • A genuine passion for sales and a desire to grow into additional sales positions Nice to Have • Familiarity with DevOps / developer tools • Experience with sales engagement or AI-assisted prospecting tools Location & Work Model Onsite in Tel Aviv / Hybrid 2 days from home What We Offer Amazing culture and energy Fair compensation for meeting and overachieving targets Company benefits Clear career growth path to join the sales team

Description Member of Technical Staff - Islo Engineering teams want background agents that pick up tasks, run on their own, and hand back real results - PRs, fixes, verified outcomes. Islo is the runtime for autonomous coding agents. We run agents in isolated environments connected to real tools with a policy layer that blocks what you didn't approve. Enterprise teams use us to deploy agents they can actually trust. We're a small team in Tel Aviv. Engineers figure out what to build, talk to customers directly, and ship it. We're growing fast and hiring people who want to own product - not just tickets. If you're ready to solve hard problems in a space that's being invented in real time, come join us. As a Member of Technical Staff You will engineer innovative cloud solutions: - Build robust, scalable cloud services in Rust, Python and TypeScript for Islo's agent runtime. - Design and implement secure, isolated agent environments using MicroVMs, virtualization, containers, and other isolation techniques. - Develop developer-facing surfaces creating clean abstractions over low-level infrastructure. - Build agent orchestration, policy engines, and verification layers that let background agents pick up tasks, use real tools, and hand back results humans can review. - Build resilient, high-performance solutions. You will shape the product: - Own problems end-to-end - from understanding the user's pain to shipping the solution. - Talk to customers regularly: discovery calls, onboarding sessions, debugging their workflows, gathering feedback on what we shipped. - Turn messy, ambiguous requests into clear product decisions - what to build and what to cut. - Write lightweight specs and design docs when it helps the team move fast; skip the ceremony when it doesn't. - Prioritize the backlog based on customer impact and what the team learns in the field. - Demo new capabilities to customers and iterate based on what you learn in the room. - Join customer calls - technical deep-dives, onboarding, troubleshooting live agent runs. - Attend and speak at conferences and meetups on agents, developer tools, and AI infrastructure. - Be the technical face of Islo with early adopters: answer hard questions, collect real-world failure modes, bring insights back to the team. We encourage you to apply even if your experience doesn't perfectly align with all requirements. We prioritize a positive attitude and potential over an exact match in experience or skills. Juniors are welcome - if you've shipped something, enjoy talking to users, and want to learn how autonomous agents actually run in production, we'd love to hear from you.

Description Who We Are: Incredibuild is the leading platform empowering developers and enterprises to radically accelerate their development cycles. We help world-leading brands like Microsoft, Citi Bank, GM, Amazon, and Adobe shorten build times, allowing for more iterations, faster product releases, and significant resource savings. Our technology streamlines and accelerates everything from compilation to release automation, dramatically expediting time to market for our clients. You aren’t just "fixing CI/CD pipelines" - you are building a robust Internal Developer Platform (IDP) and creating the tools that enable our engineers to ship high-performance code at scale. If you love writing clean code and get equally excited about a perfectly orchestrated Kubernetes cluster or an elegant Terra grunt module, you’ll fit right in. What you'll do: • Architect & Build: Take full ownership of our infrastructure, from backend services to cloud resources. • Empower Developers: Develop and maintain our homegrown IDP, ensuring a seamless "golden path" for engineering teams. • Scale the Stack: Design and manage scalable, reliable environments using AWS, Argo CD, and Helm. • Automate Everything: Build sophisticated CI/CD workflows using GitHub Actions and manage stateful infrastructure with Terra grunt. • Innovate: Evaluate and integrate new CNCF tools and internal utilities to keep our platform at the cutting edge. Requirements • 3-5 years of hands-on experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or Cloud Infrastructure roles within modern SaaS environments. • Hands-on experience deploying, operating, and troubleshooting Kubernetes environments in production. • Strong experience working with AWS services and containerized workloads. • Proven experience using Terraform or Terragrunt to provision, manage, and maintain cloud infrastructure at scale. • Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions. • Familiarity with GitOps practices and technologies including Argo CD and Helm. • Strong scripting and automation skills using Python, Bash, Go, or similar languages. • Ability to develop internal tools and operational automation that improve developer productivity and platform reliability. • Passionate about solving infrastructure challenges related to scalability, reliability, security, and operational efficiency. • Committed to reducing developer friction and improving the overall engineering experience. How We Work We are a small, highly collaborative team with a strong sense of ownership. Engineers are encouraged to take initiative, contribute to technical decisions, and have a meaningful impact on the platform's evolution. We move quickly while maintaining high engineering standards, balancing pragmatism with long-term maintainability. Our Tech Stack AWS | Kubernetes | Terraform | Terragrunt | GitHub Actions | Argo CD | Helm | Homegrown Internal Developer Platform (IDP).

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We are looking for a Senior Backend Engineer to architect the high-performance backbone of ZyG. You will build the Agentic Architecture- the distributed systems, task-orchestration layers, and real-time execution environments that allow AI agents to perceive the market and act autonomously What you'll do • Architect Agentic Service Infrastructure: Design and scale the high-concurrency backend services and distributed systems that power our AI agents' real-time decision-making. • Build the RAG & Execution Engine: Engineer the backend services for vector search, context-aware retrieval, and the "memory" layers required for agentic workflows. • Develop High-Performance Extraction Systems: Build resilient, distributed crawling and scraping services that function as the "sensory" input for our engine. • System Orchestration: Manage the integration of LLMs and predictive models into the core product API, ensuring low-latency execution and high system reliability. • Define Engineering Excellence: Establish backend architectural patterns, coding standards, and service-oriented best practices for the entire engineering team. Requirements • 8+ years of experience: Deep expertise in Backend Engineering with a software-first approach to complex systems. • AI-Native Workflow: You have a significant advantage if you leverage modern, agentic development environments like Claude Code to accelerate system design and iteration. • The Tech Stack: Strong proficiency in building scalable services. While we value architectural skill over specific syntax, experience with Go (Golang) and GCP (BigQuery/Cloud Run/Postgres) is a major "force multiplier" for our stack. • Agentic Systems Knowledge: Familiarity with the infrastructure needed for LLMs, Vector Databases, and RAG-based application logic. • Architectural Ownership: You excel at taking a high-level business need and designing the full-stack service architecture required to solve it.

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We're looking for a DevOps Engineer to join a fast-moving, AI-native engineering team. This is not a traditional ops role. A large share of our code is written and shipped by AI agents. The platform underneath them has to keep up. You'll be expected to help our dev teams ship, debug, and monitor fast, using AI wherever it fits. This is a ground-floor seat on a startup with serious growth ambitions. If you want to build the platform that lets a team of humans and agents ship at machine speed, this is your role What you'll do • Run CI/CD end to end: GitHub Actions, Bazel builds, and Argo CD deploys. Make them faster, greener, and safe for agents to trigger unattended • Build and maintain the infrastructure as code behind the platform on GCP with Terragrunt and OpenTofu: GKE, VPC networking, IAM, Secret Manager, Cloud SQL • Run the data platform: Cloud Composer (Airflow), dbt, and the BigQuery layer the business reports on. Keep pipelines on schedule, cheap, and trustworthy • Keep production observable: Datadog and Grafana, alerts people trust, error tracking that points at the real fault • Put AI to work on ops: extend the agent-driven alert triage, wire Claude Code into pipelines, automate the toil you'd otherwise do by hand • Work with backend and data engineers to make services and pipelines resilient, observable, and easy to deploy Requirements • Minimum 4 years of hands-on DevOps/SRE experience • Kubernetes in production: you've deployed it, upgraded it, and debugged networking on it • GCP: GKE, Cloud SQL, BigQuery, Secret Manager, IAM, VPC networking • Infrastructure as code with Terragrunt and OpenTofu (Terraform experience counts) • CI/CD depth: good knowledge of GitHub Actions, and GitOps on Kubernetes with Argo CD, Flux, or equivalent • DataOps: Airflow, dbt, and a warehouse like BigQuery. You've operated pipelines in production, not only written them • Monitoring and alerting with Datadog, Grafana, or similar • Comfortable scripting and reading code in Go, Python, or TypeScript • A pulse on what's actually breaking in production right now • Someone who thrives with responsibility, moves fast, and wants to build something big Nice to have • Bazel: you've managed the build of a big monorepo • Crossplane • Istio or another service mesh in production • Temporal or another durable workflow engine • Helm chart authoring and Kubernetes operators • Supply-chain security tooling: Trivy, gitleaks, SBOM

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for an experienced Squad Lead to lead a newly formed squad responsible for building Personetics’ business-facing application layer, which directly impacts end users. The role combines hands-on backend development, technical leadership, and strong product thinking. The Squad Lead will drive engineering standards, improve SDLC processes, and promote the adoption of AI-powered development practices within the team. This position requires deep backend expertise ability to lead frontend developers, strong system design capabilities, and the ability to work closely with Product, Design to build scalable, flexible, and user-centric solutions that deliver clear business value. Responsibilities • Lead the design and development of scalable, high-quality backend services powering user-facing features • Own architectural decisions and ensure alignment with product and business needs • Contribute hands-on to development, especially in complex or critical areas • Drive adoption of AI-assisted development practices and modern SDLC methodologies • Improve development velocity, code quality, and testing practices • Mentor and elevate team members, increasing overall squad seniority and engineering standards • Collaborate closely with softwere architects, product managers, and designers to deliver cohesive solutions • Establish and enforce best practices for code reviews, system design, and delivery Requirements • 6+ years of development experience with a backend orientation. • Proven experience in technical leadership or leading engineering initiatives • Hands-on mindset with the ability and willingness to actively code • Strong understanding of system design, scalability, and performance considerations • Experience working on user-facing systems and leading frontend developers • Experience improving engineering processes, SDLC, and development workflows • Familiarity with AI-assisted development tools and practices • Strong communication skills and ability to lead within a cross-functional squad • Education: B.Sc. in Computer Science or equivalent Nice to have • Experience leading teams through organizational transitions (e.g., to squads) • Experience in fintech or data-driven products • Experience working on SaaS products with a focus on scalability, multi-tenancy, and customer-centric architectureproductivity • Hands-on experience integrating AI into development workflows

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, and guide teams in making high‑quality architectural decisions that balance delivery speed with long‑term sustainability. This is a hands‑on, senior technical leadership role: you will spend most of your time shaping architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment. Responsibilities Architecture & technical leadership • Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security). • Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps. • Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines. • Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders. • Push forward the agentic mindset and implementation. Working with squads (R&D) • Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture. • Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early. • Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues. Partnering with Product • Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives. • Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs. Standards, reuse, and platform mindset • Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt. • Champion platform thinking: design services and components that can be safely reused across teams and products. • Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads. Quality, reliability, and continuous improvement • Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response. • Identify areas of high technical debt or architectural risk and lead structured remediation initiatives. • Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions. Mentoring and leadership • Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills. • Foster a culture of thoughtful design, documentation, and constructive technical debate. • Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them. Requirements • 8+ years of experience in software engineering, including several years in a senior / staff / architect role designing complex systems. • Strong experience with modern backend and distributed architectures (microservices or modular monoliths, event‑driven patterns, robust APIs). • Solid understanding of cloud‑native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure‑as‑code practices. • Proven ability to design for scale, performance, security, and reliability in production SaaS environments. • Hands‑on experience with at least one major language and ecosystem used in our stack (e.g., Java, Python, Node.js, or similar). • Proven agentic experience – as hand-on experience and as architecting GenAI systems • Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations. • Experience working with product teams in an agile / kanban environment; able to balance long‑term architecture with near‑term delivery. • Strong communication skills: can explain complex technical concepts clearly to engineers and non‑engineers. Nice to have • Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks). • Background in data platforms, analytics, or ML‑adjacent systems. • Familiarity with domain‑driven design, event sourcing, or CQRS patterns.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for a Senior Product Manager to own an Engage product domain end to end: strategy, roadmap, prioritization, delivery, and rollout. The role requires strong product ownership in a complex multi-team environment, with dependencies across Product, Engineering, Design, Sales, Support, and customer-facing teams. The PM must create clarity, make trade-offs, manage risks early, and improve how the team works. Responsibilities • Own product strategy, roadmap, and priorities for an Engage domain and drive AI and GenAI based solutions. • Lead initiatives from problem framing through delivery and rollout. • Make trade-offs between customer needs, business impact, technical constraints, and capacity. • Partner with Engineering and Design on scope, requirements, and delivery readiness. • Manage cross-team dependencies, risks, blockers, and stakeholder alignment. • Communicate priorities, decisions, timelines, and risks clearly. • Improve product processes, documentation standards, and cross-functional execution. Requirements • 5+ years of product management experience in B2B SaaS, enterprise software, preferably in fintech, banking technology, or similar complex environments. • Proven ownership of a product domain or major product initiative end to end. • Experience with AI/ML-based products and data-driven product capabilities. • Experience working with Enterprise customers, gathering feedback and presenting roadmap. • Strong product judgment and prioritization under ambiguity. • Strong execution discipline, including risk management and follow-through. • Experience improving product processes, documentation, or team operating rhythms. • Strong collaboration with Engineering, Design, and business stakeholders. • Clear written and verbal communication in English. Nice to have • Fintech, banking, digital banking, customer engagement, or personalization experience. • Experience with configurable, platform, or admin products. • Experience in B2B2C environments.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders - yes, we really are leaders - we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are seeking a visionary who reports to the CEO, to serve as the focal point of our internal AI strategy and lay the groundwork for an AI-enabled future across our organization. In this newly created role, you will act as the primary change agent bridging business strategy, technology infrastructure, and human capital. Your mission is to transition the company into a structured, secure, and value-driven operation - driving targeted AI adoption specifically where it yields the highest impact to boost efficiency, achieve core business goals, and foster long-term growth. Responsibilities • Authoring, shaping, and continuously updating the company's AI Transformation Strategy for internal operations, engineering enablement, knowledge management, and workforce productivity, aligned with business goals and operational excellence. • Process Optimization & Internal Efficiency: Mapping existing workflows across various departments (Marketing, Sales, HR, Delivery, R&D, Product, etc.) to identify bottlenecks. • Deploying recurring autonomous workflows (e.g., automated reporting, monitoring) using AI agents to streamline day-to-day operational work. • Architect and manage a centralized, machine-readable repository of enterprise knowledge- leveraging AI to continuously ingest, structure, and update company data to ensure it is instantly accessible and optimized for AI context engines, RAG (Retrieval-Augmented Generation) pipelines, and employee query systems. • Democratizing Development via AI-Assisted Development: Enabling business units to leverage AI-assisted development methodologies and platforms to build custom operational workflows. • Agents Platform: Building a company-wide layer for creating, managing, and sharing AI agents that integrate directly with internal enterprise systems to support operational execution. • Governance, Security, AI Cost Management (AI FinOps)& Economics: • Measuring adoption, usage, and the true cost of AI tools and workflows across all platforms to understand their impact and optimize organizational investment. • Establishing control mechanisms for "AI cost management" and AI FinOps - making techno-economic decisions (e.g., choosing between heavy models vs. specialized open-source models). • Specialized open-source models) to optimize compute costs. • Creating a balanced AI Acceptable Use Policy with the CISO and Legal that protects organizational data while acting as a secure foundation for rapid innovation. Requirements • Strategic Visionary: Experience in defining and executing a technological or operational strategy, with a proven ability to translate AI trends into a structured corporate roadmap. • Deep Technological Understanding of GenAI & Autonomous Systems: • Always up-to-date with the most recent AI technologies and capabilities, with a strong grasp of software architecture, Data engineering, and modern AI paradigms (LLMs, RAG, API integrations). • Deep understanding of how autonomous agents and AI reshape modern job functions, with the ability to set new standards for workforce assessment and collaboration between humans and machines. • Hybrid Tech & Business Background: • Significant experience in technological leadership, Internal Product Management, Platform Engineering, or digital transformation. • Experience overseeing the lifecycle of internal applications is an advantage, particularly with exposure to AI-assisted development platforms and modern AI generation tools from ideation to deployment. • Entrepreneurial Spirit & Matrix Leadership: • An "Enabler" by nature - someone who builds secure foundations for teams to innovate rapidly. • Exceptional communication skills - the ability to articulate complex concepts to R&D teams, Legal, and C-Level executives. • The ability to step into a "blank canvas" environment, establish methodologies, prove immediate business value, and subsequently build a team and budget around that success. • Proven ability to orchestrate company-wide transformations.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position Personetics is looking for a Business Application Manager to own our SaaS and business application portfolio end to end, and to lead how AI is actually implemented inside it. This is the bridge role between IT and the business. The person in this role makes sure every system we pay for is used correctly, by the right people, at the right depth, and drives the practical rollout of AI and agentic AI across our internal systems and processes. It is a hands-on role that combines three disciplines: system administration, business application ownership, and AI implementation and governance, Reports to the Head of IT. Because we serve banking and fintech clients, this role operates inside a regulated environment. Access control, data handling and audit evidence are part of the day job, not an afterthought. Responsibilities • Monitor business system health, resolve integrations, API, sync, and availability issues, and escalate to vendors when needed. • Ensure that we fully utilize existing systems by activating unused features, optimizing configurations, and automating manual processes. Permission model (role-based access, JML, SSO/SCIM, access reviews) • Self-service request and approval workflows • SaaS inventory, overlap mapping, consolidation and decommissioning • Evaluate and approve new tools across technical fit, security/compliance, and commercial value. Manage vendors, renewals, and licenses. • Partner with departments to translate business needs into system configurations, automations, and integrations. • AI implementation and agentic AI governance Requirements • 5+ years in business applications, SaaS operations, including hands-on ownership of at least three business platforms end to end - configuration, integrations and permissions, not first-line support. • Hands-on administration of a work management platform such as Monday.com, Jira or Asana: building boards, automations, integrations and permission structures. • Strong Microsoft 365 administration with real depth in SharePoint Online - site architecture, permissions, document management and lifecycle. • Proven experience designing and enforcing access and permission models, including SSO and SCIM or directory-based provisioning. • Practical experience implementing AI tools and AI-driven automation in a business environment, with a track record of streamlining real processes and showing the time or quality gain. • Experience working directly with business departments and translating their needs into system solutions. • Project management skills: able to run a multi-stakeholder implementation or migration from scoping through rollout and adoption, managing timelines, dependencies, vendor coordination and stakeholder communication. Formal certification is not required. • Excellent written and verbal communication in English and Hebrew. Nice to have • Experience with SaaS management platforms such as Torii or Zluri. • Hands-on experience with enterprise LLM platforms and agentic AI - Claude Enterprise, MCPs, connectors or agent frameworks. • Experience leading a system consolidation or migration project.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for a highly technical, hands-on Platform Backend Engineer to join our Platform team. This is a key technical leadership role for a senior backend/platform engineer who combines deep platform expertise with strong collaboration and communication skills. You will help shape the foundations of our engineering platform, lead important technical initiatives, and drive improvements in the way we build, deliver, and operate software. The role is ideal for someone who is not only technically strong, but also a true people person — someone who enjoys working closely with others, building trust, creating alignment, mentoring teammates, and leading through influence. You will partner closely with engineers, product, and architects, and play a central role in improving both the platform itself and the engineering environment around it. Responsibilities • Lead the design and evolution of core platform capabilities by translating business, product, and customer needs into robust technical solutions that support multiple products and teams • Harness AI in day-to-day engineering work through practical adoption of AI-assisted development tools and workflows, while helping shape platform capabilities that support product-facing agentic applications • Bring a strong problem-solving mindset to complex platform challenges, proactively identifying gaps and driving improvements across architecture, infrastructure, reliability, observability, security, and SaaS readiness • Drive meaningful improvements in SDLC, engineering standards, and development processes to support high-quality and fast delivery • Act as a technical leader by setting direction, creating alignment, mentoring others, and raising the bar for technical excellence and accountability Requirements • 5+ years of hands-on experience in backend and platform engineering roles • 5+ years of experience designing and building large-scale backend systems using Java • 2+ years of experience working with Python (Advantage) • 3+ years of hands-on experience with Kubernetes and modern cloud-native architectures in production environments • Strong experience designing and architecting scalable, reliable, and maintainable production systems • Solid experience working with relational databases and SQL • Proven experience improving engineering processes, development workflows, and technical standards, with strong understanding of software engineering best practices, clean design, and functional and non-functional requirements • Proven ability to lead technical initiatives, influence without authority, and drive alignment across teams through strong communication and interpersonal skills, with a proactive, supportive, and ownership-driven mindset • Practical experience with AI development tools such as Cursor or similar tools, with curiosity and passion for applying them in day-to-day engineering work Nice to have • Experience with CI/CD, observability, reliability, and production operations • Experience working in environments with a strong focus on security and compliance • Experience supporting or driving SaaS transformation • Familiarity with Azure and AWS

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack. Responsibilities • Design, implement, and maintain CI/CD pipelines. • Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP. • Develop and maintain Infrastructure as Code using Terraform. • Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize. • Lead and support the migration of enterprise applications and infrastructure from on-premises environments to scalable SaaS and cloud-native architectures. • Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence. • Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization. • Collaborate with Engineering, QA, Product, and AI teams. • Support the deployment, operation, and monitoring of AI and Generative AI services. • Build and maintain monitoring, logging, and alerting systems. • Troubleshoot and resolve infrastructure, deployment, and production issues. Requirements • 5+ years of experience as a DevOps Engineer or similar • infrastructure-focused role. • Hands-on experience with Azure, Aws, or GCP. • Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms. • Strong knowledge of Terraform and Infrastructure as Code practices. • Experience with Docker, Kubernetes, Argo CD, and Kustomize. • Experience designing and operating production-grade Kubernetes saas platforms or enterprise environments. • Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK. • Strong troubleshooting, analytical, and communication skills. • B.Sc. in Computer Science, Computer Engineering, Information Systems, or a related field (or equivalent practical experience). Nice to have • Experience supporting AI • Machine Learning or Generative AI workloads, including familiarity with MLOps concepts. • AI deployment platforms or cloud-based AI services.

Description Join Personetics as an Intermediate Applied Data Scientist, where you'll work with a dynamic team to analyze complex data and deliver innovative solutions for our clients. Utilize your expertise to drive data-driven decision-making and support the development of cutting-edge financial technology. About the position We are hiring an Applied Data Scientist to build the models that turn raw transaction data into the insights our banks’ customers see every day. The stack is deliberately wide: classical ML on tabular data, deep learning, LLM-based systems, and agentic flows. We choose the right approach for each problem, balancing analytical quality, production readiness, and time to market. You drive the analytical work, working closely with Product and Engineering to take ideas from evidence through production. Responsibilities • Analyze and interpret complex datasets to identify trends and patterns. • Collaborate with cross-functional teams to develop data-driven solutions. • Build and maintain predictive models to enhance business decisions. • Communicate findings and insights effectively to stakeholders. • Stay updated with the latest data science technologies and methodologies. • Contribute to the continuous improvement of data processes and systems. Requirements • Bachelor's degree in Data Science, Computer Science, or related field. • 3+ years of experience in applied data science or a similar role. • Proven experience with machine learning algorithms and statistical modeling. • Proficiency in programming languages such as Python or R. • Strong analytical skills and ability to work with large datasets. • Excellent communication and teamwork skills. • Experience with data visualization tools like Tableau or Power BI. Nice to have • FinTech or banking experience. • Transformer models — fine-tuning and production inference. • Experience taking a model into production, including monitoring and post-launch iteration. • Cloud platforms (AWS, Azure).

Description At ONE ZERO, Israel’s first fully digital bank, we’re building the technology that powers a new era of intuitive, transparent, people-first banking. As our platform grows and our services expand, we’re looking for a team leader to lead a data engineering team. The team is responsible for ingestion, processing, and serving bronze level data to other analytic teams in the organization. In this role, you will define the data architecture of our unified Data Lakehouse, own all ETL and streaming operations, define governance processes and implement tools, make sure our data is fresh, accurate and whole always. Your Day-to-Day • Mentor and lead a team of 4-6 data engineers. • Own sensitive data operations, including monitoring, on-call and production operations. • Build and manage all ETL and streaming operations related to the Data Lakehouse. • Develop, maintain, and optimize robust data pipelines and integrations across multiple systems. • Build a platform for other analytic teams to build data products on top of the Data Lakehouse. • Define and implement quality and governance processes to make sure data is fresh, accurate and whole. • Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions • Work hands-on with data orchestration, transformation, and cloud infrastructure (OCI, Snowflake, AWS) • Support implementation of best practices in data management and observability Requirements • 4+ year of direct management of team of 4-6 data engineers. • 8+ years in data engineering, data architecture, or similar roles. • Experience in financial systems or fintech (big advantage) • Deep hands-on experience with PostgreSQL, Snowflake, Oracle etc’ • Strong experience with ETL/ELT, data integration, Kafka, and other streaming solutions (must). • Proven SQL and Python skills (must). • Experience with cloud environments • Strong ownership, problem-solving ability, and communication skills • Comfort working in a fast-paced, multi-system environment

Description At ONE ZERO, Israel’s first fully digital bank, we’re building the technology that powers a new era of intuitive, transparent, and people‑first banking. As our platform grows and our services expand, we are looking for a skilled Financial Controller to join our dynamic finance team at ONE ZERO. The ideal candidate is a strategic professional with a strong passion for financial excellence in the digital banking sector. As a key member of our team, you will oversee critical financial activities, implement robust financial controls, and ensure accurate reporting within our innovative, AI‑driven banking environment. Your Day-to-Day • Prepare quarterly and yearly financial reports. • Compile monthly reports for management and the Board of Directors, including balance sheets, profit and loss statements, and capital adequacy ratios. • Prepare and submit accurate financial reports to the Bank of Israel in accordance with all applicable regulations and standards. • Enforce financial reporting controls to ensure regulatory compliance and uphold data accuracy. • Prepare the bank's annual tax report. Requirements • Certified Public Accountant (CPA) - must. • Minimum of 5 years of experience in finance, accounting, financial reporting, or related fields. • Experience preparing financial statements and managing financial reporting processes. • Experience in the banking industry or working with financial institutions – an advantage. • Strong knowledge of US GAAP and/or IFRS. • Advanced proficiency in Microsoft Excel. • High level of English, both written and verbal. • Strong communication and interpersonal skills. • Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities. Advantages • Strong knowledge of ERP, with a preference for Oracle and SAP. • Knowledge and experience in preparing disclosures on "Credit to the public".

Description About the role We're looking for a sharp and business-oriented Data Analyst to join ONE ZERO and help shape the future of digital banking. In this role, you'll work across product, marketing, finance, and technology teams to identify opportunities, translate complex needs into actionable solutions, and drive impactful initiatives. This is an opportunity to influence key customer journeys, optimize processes, and support strategic decisions in a fast-paced, data-driven environment. Why join us? At ONE ZERO, we're redefining banking through technology, data, and exceptional customer experience. You'll work with talented people, influence meaningful decisions, and help build products used by thousands of customers. Your Day-to-Day • Analyze business processes, customer journeys, and workflows to identify improvement opportunities. • Gather and translate business requirements into clear functional specifications and actionable recommendations. • Partner closely with Product, Marketing, Finance, Technology, and additional stakeholders to drive cross-functional initiatives. • Support the design, implementation, and rollout of new products, features, and internal processes. • Build business cases, define KPIs, and measure impact of initiatives. • Conduct data analysis to identify trends, inefficiencies, and growth opportunities. • Design and build views and aggregation layers in the data warehouse to support reliable, performant, and self-serve analytics. • Develop and maintain semantic layer definitions – including metrics, dimensions, and business logic – to ensure consistent reporting across teams. • Create and optimize aggregations and summary tables to enable fast, scalable analysis across large datasets. • Create documentation, process flows, and presentations for stakeholders and management. Requirements • 4+ years of experience as a Data Analyst / Business Analyst / Product Analyst or a related role. • Strong analytical thinking with the ability to turn complexity into clarity. • Experience working with cross-functional teams in dynamic environments. • Proven ability to manage multiple stakeholders and priorities simultaneously. • Strong SQL skills, including the ability to design views, CTEs, and complex aggregations – required. • Hands-on experience building or working with a semantic layer (e.g., dbt metrics, Looker LookML, Cube, or similar) – advantage. • Familiarity with data modeling concepts – star/snowflake schemas, fact and dimension tables, aggregation strategies – advantage. • Experience in fintech, banking, financial services, or regulated environments – significant advantage. • Familiarity with Agile methodologies and product development processes. • Strong communication and interpersonal skills. You'll thrive here if you: • Enjoy solving complex problems. • Are proactive and take ownership. • Can move between strategic thinking and hands-on execution. • Feel comfortable in fast-changing environments. • Want to shape the future of banking.

Description We are seeking a skilled Securities Front Office Specialist to join our dynamic financial team. The ideal candidate is a detail-oriented professional with a strong passion for capital markets and trading operations. As a valued member of our team, you will be responsible for managing complex securities transactions, ensuring smooth and accurate trading platform operations, and enhancing the client experience in the capital markets. Your Day-to-Day •⁠ ⁠Manage securities front office operations •⁠ ⁠Monitor trading platforms and transaction requests •⁠ ⁠Provide real-time market updates •⁠ ⁠Coordinate with internal and external stakeholders •⁠ ⁠Support new partner integration processes Requirements •⁠ ⁠Undergraduate degree in business, finance, or related field •⁠ ⁠Minimum 3 years experience in trading environments •⁠ ⁠Deep understanding of stock trading lifecycle •⁠ ⁠Strong knowledge of capital markets •⁠ ⁠Excellent communication and technical skills Advantages Licensed investment advisor, or license in investment marketing/portfolio management

Description At ONE ZERO, we’re building a new kind of banking experience, powered by Ella, our AI private banker and the face of the bank, handling the vast majority of customer interactions. We’re looking for a Product Manager to lead the evolution of customer service at ONE ZERO, shaping how Ella and our human bankers work together to deliver a better banking experience. We’re looking for someone AI-native, highly curious, analytical, and hands-on, someone who goes deep into problems, gets things done, and is focused on measurable impact. Your Day-to-Day • Own the customer service experience end-to-end, across both Ella and the bank’s human bankers and service teams. • Define how Ella and human bankers should work together, and turn that into product and operational improvements. • Work hands-on with AI and LLMs every day: exploring, testing, prototyping, and improving customer interactions. • Dive into conversations, service data, and operational metrics to identify root causes, opportunities, and areas with the highest potential impact. • Solve problems hands-on - not just define them, and drive initiatives from insight through execution. • Define clear success metrics, measure impact and ROI, and use data to continuously prioritize what matters most. • Work closely with bankers and service teams, turning frontline insights into scalable improvements. • Lead initiatives across Product, Engineering, Data, Operations, and Customer Service. Requirements • 3-5 years of experience in Product Management or another high-ownership, analytical role in a technology company. • Strong hands-on experience with AI and LLM tools - Must. • Proven ability to drive measurable results and take ownership from problem definition through execution. • Strong analytical and problem-solving skills, with the ability to go deep and get to root causes. • Ability to define and measure product and business impact, including ROI and operational outcomes. • Independent thinker with strong judgment, curiosity, and creativity. • Comfortable getting into the details, getting your hands dirty, and solving problems directly when needed. Advantages • Experience with AI-powered customer experiences, conversational AI, or customer service. • Experience in fintech, banking, or another regulated environment. • Technical orientation and experience prototyping AI-based workflows or solutions.

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you. We love AI and use it to automate our HR processes as much as possible. But technology is only part of the equation - we're looking for someone who brings the human touch to everything we do. :) Someone who can make the employee journey feel personal, seamless, and well taken care of, while bringing curiosity, technology, and fresh thinking into the way we work. At Finout, we believe great employee experiences are built through the small things as much as the big ones. We're looking for a People Operations Specialist who loves people, takes ownership, and is excited about using technology and AI to make HR smarter, simpler, and more scalable. You'll be part of our HR team, working closely with employees and managers across Israel, the US, and the UK. This is a hands-on role for someone who enjoys both the human side of HR and the operational details that make everything work. You'll report to the VP HR and own our global people operations processes throughout the employee lifecycle, from hire to retire. What you'll do • Own the employee journey: Manage onboarding, offboarding, employment changes, leaves, and other employee lifecycle processes from start to finish. • Keep our people operations running: Maintain accurate employee records, documents, and workflows in HiBob and other HR systems. • Be the go-to person: Support employees with HR-related questions, benefits, documents, and day-to-day people processes • Coordinate global payroll: Own the HR side of payroll coordination across Israel and the US, ensuring that new hire information, approved compensation changes, employee status changes, leaves, and terminations are accurately documented and communicated to Finance on time. Partner with Finance and external payroll providers to resolve employee-related questions and ensure a smooth payroll process, while Finance owns payroll calculations, processing, and payments. • Experience managing end-to-end recruitment processes : including sourcing, candidate screening, and working closely with hiring managers. • Own employee benefits: Manage employee benefits processes across Israel and the US, with particular ownership of US employee benefits. Coordinate enrollments, changes, life events, and terminations with external providers, support employees with benefits-related questions, and ensure accurate documentation and timely follow-up. • Bring technology into HR: Explore and implement new tools, AI-powered workflows, and automations that improve efficiency, reduce manual work, and create a better employee experience. • Think beyond the process: Identify gaps, challenge existing ways of working, and proactively suggest smarter, more scalable solutions. • Work across borders: Partner with employees, managers, Finance, Operations, IT, and external providers across Israel and the US. • Ability to balance recruiting responsibilities with ongoing People Operations ownership, adapting to the company's hiring priorities. What you'll bring • 4+ years of experience in People Operations, HR Operations, or a similar role. • Experience owning employee lifecycle processes independently.( hire to retire ) • A genuine passion for technology, innovation, and AI, with curiosity to explore new tools and apply them to real business challenges. • A proactive, tech-savvy mindset and the ability to identify opportunities for automation and process improvement. • Experience working with global teams, including the US market, and an understanding of the cultural and operational differences involved. • Excellent English communication skills, both written and spoken, at a very high professional level. • Experience coordinating payroll-related employee data and changes across multiple countries, working closely with Finance and external payroll providers.. • Strong attention to detail and the ability to manage multiple moving parts without losing the human touch. • Excellent interpersonal skills and a genuine passion for employee experience. • Experience with HR systems; HiBob is a strong advantage. • Hands-on experience with US employee benefits administration, including enrollments, employee changes, and coordination with benefits providers is a plus. • Recruiting experience is a plus. • Bachelor's degree in Human Resources, Psychology, Behavioral Sciences, Business Administration, or a related field. Our Values We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you. About the Role As a Senior Software Engineer at Finout, you’ll play a key role in building and scaling the data infrastructure that powers our platform. You’ll work on complex, large-scale data systems that collect, process, and transform massive volumes of cloud and SaaS usage data into reliable, actionable insights for our customers. You’ll take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, you’ll contribute to architectural decisions and help shape the next generation of Finout’s data platform. This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale. Responsibilities: • Own, enhance, and improve Finout’s core platform • Build and maintain systems for collecting and processing metrics from client environments • Focus on system efficiency and resilient infrastructure • Integrate well-known SaaS platforms into Finout’s big data repository (e.g., major cloud providers, Datadog, Snowflake) • Optimize Spark and Airflow processes • Contribute to data design and platform architecture while working closely with other business units and engineering teams • Face the challenges of testing and monitoring large-scale data pipelines Requirements: • 7+ years of experience developing and operating large-scale, high-availability systems • 7+ years of experience with Python (Experience with Go is a plus) • Experience working with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR) • Familiarity with metrics systems (e.g., Prometheus, cloud monitoring APIs) or time-series data – a strong plus • Autodidact, self-motivated team player with strong communication skills and a passion for solving challenges at scale Our Values We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.