Personetics

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 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 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 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 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 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 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 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