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We are looking for a Builder rather than just a developer. You will own features completely end-to-end. In this modern era of development, you should know how to effectively utilize AI tools to accelerate your velocity, while simultaneously acting as the ultimate gatekeeper of high quality, ensuring that highly sensitive, mission-critical code meets the highest standards of formal verification and security.
What Youll Do:
Design, build, scale, and support the digital asset custody and financial software systems for our financial services customers.
Work directly with product and business teams to iteratively deliver software to production.
Solve highly challenging technical problems and untangle complex, deep-production bugs in large-scale environments.
Influence the technical direction for the financial services business.
Contribute to team roadmap discussions and planning.
Interact with cross-functional partners from other Departments.
Manage identity and access management (IAM), user management, data security, and product-specific security measures.
Work in coordination with cross-functional teams to ensure security measures are effectively integrated into various business processes.
Work closely with the SecOps team (and SOC) to make sure all required security logs and events are available for them.

The Yield Team is looking for an experienced Backend Developer who views security as a core feature, not an afterthought. In this role, youll drive growth in the digital asset space by architecting and integrating Digital Asset Yield protocols.
We handle the worlds most valuable assets, and our work demands a security-first engineering culture. You will collaborate with industry leaders to deliver innovative, native products-ranging from decentralized lending to institutional staking-where the safety of customer funds and the integrity of protocol interactions are the highest priorities. Join us to shape the future of the digital assets space by building resilient, trustless solutions for asset optimization.
What Youll Do:
Architect for Resilience: Design and implement scalable backend systems hardened against the complex attack vectors inherent in Digital Asset Yield environments.
Secure Protocol Research: Deep-dive into new blockchain technologies, smart contracts, and liquidity protocols, identifying potential vulnerabilities or risks before integration.
Integrate AI for Enhanced Security & Optimization: Explore and deploy AI/ML-driven solutions to automate the detection of security anomalies, optimize capital efficiency, or enhance the operational resilience of core yield services.
Mission-Critical Engineering: Solve hard engineering problems where precision is paramount; youll ensure that seamless interactions with Digital Asset Yield products never come at the cost of asset security.
Lead by Example: Champion secure coding practices within the team, participating in rigorous code reviews and threat modeling for all financial logic.

We're not hiring a "technical writer". We're hiring someone who thinks of knowledge as a product - one with architecture, users, feedback loops, and a lifecycle. You'll own how our technology is understood: by customers integrating our B2B platform, by engineers documenting their own work, and by internal teams making decisions in a fast-moving R&D environment.

What Youll Be Doing:
Design and maintain the external documentation system: API references, integration guides, onboarding flows, and troubleshooting content - treating it as a living product with real users and measurable outcomes.
Define AI-augmented documentation workflows: where LLMs assist with drafting, where they validate accuracy, and where human judgment is irreplaceable.
Work directly with engineers, PMs, and researchers to extract knowledge: you interview, synthesize, and structure what others know but haven't written down.
Own content quality signals: broken links, outdated docs, low-rated articles, search dead-ends. You set up the loops that catch decay before customers do.
Contribute to the information architecture: taxonomy, versioning strategy, content type standards, and the toolchain that supports them.
Lead content localization efforts, including multilingual adaptations, knowledge base structuring, and format alignment.
Manage the creation and distribution of release notes in collaboration with Product and R&D teams.
Contribute to building and stewarding the internal knowledge base for our own employees: capturing decision logs, architecture notes, research summaries, and runbooks so institutional knowledge doesn't live only in people's heads.

Were looking for a Senior Software Engineer to join our Core Infrastructure team. In this role, you will be responsible for designing and implementing core components crucial to the products scalability.
As part of your role, you will be expected to find creative solutions to various architectural and implementation challenges, designing and executing solutions for a unique set of problems we encounter as a state-of-the-art technical product.
you will be expected to take full ownership of your work - from initial design and implementation through to deployment and production support. You drive features end-to-end, see them through to completion, and take responsibility for their success

We are expanding our Fraud Intelligence Unit and need passionate, sales-focused, fraud fighters to join our team.

Reporting to the Global Fraud Intelligence Director, you will be responsible for conducting deep-dive, targeted analysis of fraud patterns to support high-impact, engagement strategies for prospective customers, with the goal of supporting the sales team and business in securing revenue growth. Unlike broader trend analysis roles within the team, this position focuses on generating highly tailored insights for a defined set of priority prospects, helping articulate the need for our advanced fraud and financial crime prevention solutions.

You will work closely with internal stakeholders to analyse us and external data with a hypothesis-driven approach, uncovering specific vulnerabilities, attack patterns, and risk exposures relevant to individual organisations or segments. Your work will translate complex data into compelling, evidence-based narratives that highlight both the impact of fraud and the urgency of addressing it.

Key responsibilities:
Support the Sales team in the generation and progression of revenue-generating opportunities.
Conduct deep, targeted analysis of our data to identify customer- or segment-specific fraud patterns, risks, and vulnerabilities.
Apply advanced analytical techniques and hypothesis-driven investigation to uncover insights that are not visible through high-level trend analysis.
Leverage AI-assisted analytical tools to enhance the scale and speed of analysis, while applying rigorous data validation and expert judgment to ensure accuracy and relevance.
Translate analytical findings into tailored, prospect-relevant narratives that clearly articulate fraud exposure, business impact, and the value of mitigation strategies.
Develop insight-driven materials that support commercial engagement, including customer-specific briefings, strategic reports, and pre-sales narratives.
Collaborate closely with sales, marketing, and regional teams to align analytical tasks with customer priorities and commercial objectives.
Design and develop effective data visualisations that simplify complex findings and strengthen the impact of customer-facing storytelling.
Present findings internally as well as directly to customers, demonstrating credibility through data-backed insights and clear articulation of fraud risks.
Build and maintain analytical frameworks, datasets, and repeatable methodologies that support scalable customer-focused analysis.
Identify opportunities to enhance analytical workflows through automation and AI, while ensuring critical thinking and professional judgment guide all conclusions.
Stay current with emerging fraud trends, analytical techniques, and AI capabilities, applying them to continuously improve the precision and impact of insights.

We are looking for a JavaScript-savvy developer to join our SDK team, focusing on the development and enhancement of our web & mobile SDKs.

In this role, you will participate in designing, building, and maintaining a high-performance SDK that is integrated into customer applications and used by customers worldwide.

We are looking for a JavaScript Savy that will take part in

You will work closely with other engineers, product managers, and solution teams to ensure the SDK's high quality, maintainability, and performance. If you are passionate about web and mobile technologies and enjoy solving complex challenges, wed love to meet you.

What Youll Do:
Take responsibility for a major project in the product, including feature development and releases.
Design and implement new features and improvements for our SDKs.
Ensure the SDK is robust, secure, and easy for third-party developers to integrate.
Collaborate with cross-functional teams, including data engineers, data scientists, and backend engineers.
Maintain high code quality through code reviews, testing, and best practices.
Monitor and optimize SDK performance and resource usage.
Write clear technical documentation and integration guides.

We are looking for a Data Scientist to join our team.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.


Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

We are looking for a talented, tech-driven Leader with a strong entrepreneurial spirit to head one of our backend teams. In this role, you will remain deeply hands-on, driving technological agendas, architectural decisions, and system-wide optimizations.

Our teams take full end-to-end ownership over their domains, balancing high-quality feature delivery with deep engineering excellence. If you are passionate about building robust systems, love solving complex technical challenges at scale, and have the inner calm to lead through growth and change, this is the place for you.

What Youll Do:
Lead & Mentor: Foster a self-driven team culture, mentor experienced developers, and provide constructive feedback.
Stay Deeply Hands-On: Work closely with the code, designing and building low-latency, high-concurrency server-side components.
Own the Architecture: Drive architectural decisions and resolve complex challenges (performance, scalability, infrastructure costs).
Champion AI Adoption: Implement AI-driven development methodologies to elevate the teams productivity.

we are looking for a Field CTO.
This is a hybrid role at the intersection of customer-facing technical leadership, security expertise, and field enablement. You'll lead high-stakes architecture conversations and proof-of-concept engagements, serve as an escalation point for both customer-facing technical challenges and internal Product/Engineering alignment, and build the playbooks and materials that make every Sales Engineer and Pre-Sales professional more effective.

we are looking for a Senior Backend Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principles
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews, and Code Reviews

we are looking for a Senior Software Engineer.
Responsibilities:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

we are looking for a Tech Lead Engineer.
Responsibilities:
Drive the technical strategy for cross-platform endpoint agent, focusing on C#/.NET core logic while ensuring production readiness across macOS, Windows, and Linux.
Provide technical leadership to a distributed team of engineers, raising technical expertise and engineering practices across the organization.
Own features from discovery to delivery, solving complex domain problems across a managed fleet of enterprise devices.
Maintain a hands-on approach by writing code and mentoring engineers to elevate the organization's technical capabilities.
Architect the agent using C# and platform-specific extensions, ensuring performant integration with each operating system's security frameworks.
Own high-impact technical decisions that balance velocity, security, and reliability.
Deliver maintainable features supported by comprehensive testing, metrics, and monitoring.
Shape the agent roadmap and ensure resilient production systems in collaboration with cross-functional leadership.
Participate in design and code reviews to maintain high engineering standards.
Champion AI-assisted engineering across the team - set the bar for how coding agents accelerate delivery, and establish the practices and guardrails that keep output production-grade.

We're looking for a ML Engineer to join our Data team in Tel Aviv. Our team sits at the heart of our data stack - we build and maintain the infrastructure, pipelines, and AI-powered systems that DS, product, marketing and other stakeholders rely on to move fast and make smart decisions.

What you'll work on:

Integrate and productionize LLM-based systems: from prompt registries and model gateways to agentic workflows - with a focus on reliability, observability, and cost efficiency.

Own our core MLOps infrastructure: build and maintain our feature store, vector database, training and monitoring tools, etc.- so DS and product teams can ship AI features without infrastructure becoming the bottleneck.

Build AI-powered Python microservices that integrate LLMs, scraping, pipelines and internal data into product features used by hundreds of thousands of businesses.

Collaborate deeply with data scientists, engineers and product managers to turn ideas into reliable, scalable ML systems, iterating quickly from prototype to production.

Own initiatives end-to-end: from design doc to production deployment, including monitoring, documentation, and handoff.

We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of HoneyBooks most critical product areas.

You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.

A few of the things you will do:

Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.

Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.

Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.

Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.

Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.

Translate company and product strategy into clear engineering direction and measurable outcomes.

Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.

Improve how teams collaborate across domains by refining planning, processes, and communication.

Lead cross-team initiatives and manage dependencies across multiple stakeholders.

Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.

As a Full Stack Software Engineer, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.