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The role has two focus areas: customer research, and hands-on design for several small engineering pods that ship monthly. Research finds where customers get stuck and tests better ways to guide them. Design improves existing features, shapes new features and products, and puts research findings into practice.

Were looking for a pragmatist: someone who meets the organization where it is, adapts their approach to our culture, and raises the bar through partnership rather than prescription.

What You Will Do?
Make complexity usable
Map where customers stall: onboarding, setup, and the jump to advanced features.
Design guided workflows, smart defaults, templates, and in-product help that lead users to value without training.
Turn recurring how do I questions from Customer Success and Support into design fixes.
Design
Own user flows, information, interaction, and visual design, from sketch to high fidelity.
Redesign core workflows in our new design system, extending its rollout across a mature, 15-year-old product.
Partner with Engineering through build and QA so what ships matches what was tested.
Research and testing
Run interviews, contextual inquiry, and journey mapping with analysts, product managers, CX leaders, and engineers with enterprise customers.
Recruit participants through Customer Success and account teams, within customer NDAs and security requirements.
Synthesize findings into insights, personas, and opportunity areas the team can act on.
Test low-fidelity concepts before we build with expert analysts (who need depth) and less analytics-mature teams (who need guidance). Recommend pursue, pivot, or kill.
Test how users judge and act on AI-generated insights, and what evidence builds trust.
Run moderated and unmoderated usability tests; track issues by severity through resolution.
Research maturity
With product managers and product and engineering leadership, assess how we gather and use customer insight today, across research, Customer Success, Sales, Support, and in-product feedback.
Build and lead a roadmap to where you think we should be: how feedback is captured, prioritized, acted on, and reported back to customers.
Mentor product managers and designers on research methods and tools so research scales beyond you.
Stand up a lightweight research repository so insights compound.

We are looking for a Senior Software Developer to join our development team and build complex, interactive, data-driven applications with advanced visualization capabilities. The role combines hands-on development, software design, technical leadership, and end-to-end ownership of solutions from early-stage prototypes and MVPs through production.

How you will make an impact:
Design, develop, and maintain complex software applications.
Initiate and build new projects from the ground up, including early-stage prototypes and MVPs.
Translate product ideas and requirements into well-structured software designs.
Build interactive user interfaces with a focus on usability and performance.
Implement and maintain backend services and APIs.
Participate in software design and architecture discussions.
Work with cloud-based infrastructure and deployment pipelines.
Collaborate closely with product, design, and engineering teams.
Write clean, maintainable, well-documented, and well-tested code.
Participate in code reviews and technical decision-making.

We are seeking a seasoned Senior DevOps Engineer to join our innovative and fast-growing startup poised to transform the risk assessment industry.
Responsibilities:
Design and implement scalable, resilient infrastructure across major cloud platforms to support our high-demand applications.
Manage and optimize container orchestration using Kubernetes and Docker, ensuring efficient deployment and operation of services.
Drive the adoption of FinOps practices to optimize cloud spending and resource utilization.
Develop automation strategies to enhance continuous integration and deployment (CI/CD) processes.
Collaborate with cross-functional teams to ensure seamless, scalable, and robust application performance.
Provide leadership and mentorship to junior team members, promoting a culture of technical excellence and innovation.

We are looking for a Rockstar backend developer to join our team. Its a great opportunity to join an innovative, interesting, and fast-growing start-up that will change the world of risk assessments
In this role, you will be responsible for the development of complex Microservices with high-scale architecture.
Responsibilities:
Responsible for designing and develop the platform from research to delivery
Drive the architecture and collaborate with a cross functional team on the overall design
Provide technical leadership and mentor junior team members
Design the platform for scale and high performance with the ability to handle large amount of data.

We are seeking an experienced Senior Frontend Team Lead to join our innovative and fast-growing startup poised to transform the risk assessment industry.
Responsibilities:
Lead a team of developers in designing and developing frontend web and mobile applications.
Ensure high performance and responsiveness throughout the deployment process of these applications.
Oversee the end-to-end frontend development lifecycle from design through deployment, guaranteeing applications are robust and market-ready.
Architect scalable, maintainable, and efficient code and services utilizing modern web technologies.
Drive collaboration with cross-functional teams to design and implement new features, enhancing application functionality and user experience.
Provide technical and project leadership, mentoring junior team members, and promoting a culture of excellence and innovation.
Stay abreast of the latest industry trends and technologies to continuously improve our platforms and development practices.

You will build the services behind every app our users generate - provisioning, databases, auth, billing and the APIs that hold it together. Reliability here is the product.

What you'll do
Design and build .NET services that provision and run user applications.
Own data modelling, migrations and query performance as usage grows.
Build internal APIs consumed by the web, mobile and AI teams.
Improve observability so we find problems before users report them.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.
What You'll Be Doing:
Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

Required DevOps and Data Engineer
Job Location:
Israel, Hod HaSharon (Hybrid)
Job Brief:
Design, develop, and maintain internal data services, automation flows, CI/CD infrastructure, and database-related tooling.
Job Description:
Design, develop and maintain data pipelines, ETL/ELT flows, and integrations between internal engineering systems
Design and own the DevOps framework for the company and enable the automation infrastructure used by engineering teams
Build automation tools to improve data processing, tooling, and development workflows
Develop and help optimizing the in-house database-related services, including SQL queries, indexing, stored procedures, performance tuning, and monitoring
Ensure data security, permissions, access control, and data integrity across internal systems
Collaborate with cross-functional teams to understand requirements, solve technical issues, and improve internal developer and customer-facing platforms.

We are seeking a System & DevOps Engineer to join our DevOps and IT team.
Responsibilities:
Continuously improve our infrastructure to be more secure, scalable, and robust
Apply new technologies for internal and external services
Design, build, and maintain CI/CD pipelines and IaC for our infrastructure
Control and develop the monitoring and observability solutions
Manage and maintain the companys IT infrastructure, including both Ubuntu and Windows workstations, servers, and networking equipment
Provide technical support to the team, ensuring minimal disruption to daily operations.

We are looking for a talented and experienced DevOps Team Leader to join our infrastructure team. As the DevOps Team Lead, you will manage and lead the DevOps team. You will provide strong technical skills, enhance operational efficiency, design and implement scalable systems to keep Cycode running smoothly, and support our significant business growth. You will be part of an innovative, high-performance R&D department, working with cutting-edge technologies in a dynamic and agile environment.

We're looking for a hands-on Senior backend Engineer to join the App Studio & Intelligence team within Earnix's GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across Earnix and our customers to design and deploy AI-driven solutions. In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.
?What You'll Do Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS. Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security. Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system. Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases. Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence. Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.

Position Intro:
Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnixs AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, Real-Time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

we are looking for a Staff Data Scientist.
The Data Science department powers core engine by building production-grade algorithmic solutions at immense scale. As a Staff Data Scientist on the Identity team, you will drive the innovation roadmap for our Identity Graph Engine. You will architect, research, and deploy state-of-the-art machine learning models - spanning graph neural networks, transformers, and deep tabular architectures - to solve complex entity resolution and fraud prevention challenges at scale.
What You'll Be Doing:
Drive Identity Graph Innovation: Architect and advance the next generation of our Identity Graph Engine using state-of-the-art graph models, transformers, and machine learning techniques.
Technical Leadership: Define the research roadmap for identity resolution, setting technical standards and guiding complex research projects from initial concept to high-throughput production systems.
Large-Scale Modeling: Build scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets.
Cross-Functional Architecture: Collaborate closely with Data Engineering, Core Software, and Product teams to seamlessly integrate complex ML pipelines into real-time production environments.
Mentorship & SOTA Research: Benchmark and import cutting-edge academic research into practical business solutions while mentoring senior data scientists on modern modeling paradigms.

As a Senior Staff Product Manager for QuickBooks Bill Pay, you will define and drive the strategic vision for a critical pillar within QuickBooks Money Movement ecosystem-one of Intuits most important growth and engagement bets.

This is a highly influential leadership role, operating across multiple teams and product surfaces, where you will shape long-term strategy, unlock new business opportunities, and drive step-function improvements in how small businesses manage and move money.


Responsibilities

Identify and size market opportunities using deep customer insights, competitive analysis, and data
Set and drive a coherent product strategy across multiple teams and time horizons (near-, mid-, long-term)
Lead complex, cross-functional initiatives that span multiple systems, teams, and business units
Influence company-wide priorities and ensure alignment between product, business, and technical strategies
Establish scalable processes and frameworks for product discovery, delivery, and measurement
Drive operational excellence across the product lifecycle-from ideation to launch to iteration

We are seeking a visionary and hands-on Staff AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses to thrive. In this role you will define, design, and build groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.

You will collaborate closely with cross-functional experts across AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.

As a Staff Scientist you set technical direction beyond your own projects. You are a builder-scientist - a creative thinker who develops novel model architectures and training paradigms and also drives their implementation and validation in real-world applications - and you raise the scientific bar for the teams around you. You will help shape the AI foundation that powers transformative products serving millions of customers.


Responsibilities

Set technical direction. Define the technical strategy and roadmap for next-generation agentic and foundation-model systems, and drive innovation and scientific excellence across the organization.

Build foundational models and agents. Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.

Advance the science. Explore novel approaches in large-scale pretraining, fine-tuning (SFT and RLFT/GRPO), retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.

Solve real financial work. Build intelligent agents that understand financial data, customer context, and business workflows - from bookkeeping and autonomous accounting to planning, communication, and insight generation.

Leverage Intuits data moat. Turn Intuits unique ecosystem signals - counterparty behavior, two-sided transaction visibility, and business twins - into defensible modeling advantages.

Ship end-to-end. Take work from experimentation to production, owning evaluation frameworks and metrics that prove real-world impact.

Elevate others. Mentor scientists and engineers, review technical designs, and grow the craft of the wider team - a core expectation at the Staff level.

Collaborate across functions. Partner with AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.

Share knowledge. Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.