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We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself.
Your Impact
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.

We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidly prototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.

We're looking for a Backend Developer to join our awesome Core Platform team. The team is responsible for building complex, high-scale, real-time services and infrastructure which is used by all companys studios to support their business.
We are looking for an engineer who views AI not just as a tool, but as a fundamental shift in how we build software. You will be responsible for designing high-performance, distributed systems while leaning heavily into an AI-First engineering culture.
We are looking for strong software engineers with practical experience, the drive, and enthusiasm to succeed in a demanding and professional team environment.
Responsibilities:
You will design, architect, test and implement core services and features in our platform services and data pipeline infrastructure.
You will be responsible for scalable, high-traffic production infrastructure across all our studios.
You will build valuable tools to support the development and business processes across the company
You will integrate AI agents and LLMs (Cursor, Claude Code) into your daily flow to maximize velocity and code quality.
You will deliver high quality and well-structured code
You will own the deliverables end-to-end, from inception, through design and development and production implementation.

We are looking for an experienced, fearless, battle tested Technical Program Manager to drive cross organization execution of technical programs. The successful candidate will thrive in a fast-paced environment where energy, drive, and a collaborative approach are key to success. If you remain completely calm when a project inevitably changes direction at supersonic speed and You are a bold, tenacious driver who can walk into a room of resistant stakeholders, politely dismantle the chaos and build a scalable framework from scratch you belong with us.
Your Impact
Lead and orchestrate enterprise-wide deployment of highly complex and ambiguous programs, focusing heavily on core platform capabilities, architectural dependencies, and shared services.
Ensure predictable, on-time execution of strategic programs spanning multiple R&D groups and external stakeholders. Build the governance mechanisms, escalation paths, and portfolio-level visibility needed for effective cross-group delivery.
Partner with multiple Product and Engineering stakeholders to identify, map, and manage complex cross-platform dependencies. Drive effective prioritization and maintain clear, actionable team backlogs.
Design, implement, and optimize end-to-end operational processes to eliminate friction, scale engineering efficiency, and establish best-in-class release lifecycles, metrics, and quality standards.
Own the overarching communication strategy for your program space. Author and deliver transparent, insightful, and concise status reporting, tailored appropriately for engineering teams up to executive-level stakeholders.
Cultivate a collaborative work environment by proactively driving efforts to resolve key project conflicts, establishing clear resolution paths, and alignment across disparate teams.
Understand the complex systems within your program space, including their limitations, scaling factors, boundary conditions, and the underlying reasoning behind major architectural decisions.

Location: Holon.

Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity.

Job Description:

Development of complex information systems in eMerge.

Learning and expertise in SQL and with unique internal technology.

We are on a mission to redefine how consumers go from noticing a need to buying the right solution online. In an internet shaped by AI, fragmented attention, and constantly shifting platforms, we build, own, and scale top-performing brands and offers - both our own and those of leading partners - by combining proprietary technology, data -driven decision making, and creative excellence at performance scale. We operate at consumer scale, reaching millions of people every day across paid channels, owned funnels, and digital touchpoints. In a world where creative trends, consumer behavior, and platform algorithms shift overnight, we stay ahead of the curve. We move fast, think deeply, and build with purpose. Our culture is rooted in entrepreneurship, innovation, and collaboration - along with shared wins, team dinners, and a whole lot of good food and laughter. Were a team of doers, and boundary-breakers - product, data, R&D, growth, and creative talent who own the Full Stack of how consumer brands are built and scaled today. After 17 years in the game, every funnel, every TEST, every brand decision happens in-house - which means your work moves the needle directly and visibly. If youre ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of consumer brand building, you belong here.?About the role We are looking for a Senior backend engineer who is strong in Python and enjoys building reliable, data -intensive systems. You will help develop our next-generation platform, integrations with external data sources, and the services that collect, process, and expose data throughout our product. This is primarily a backend engineering role-not a pure data engineering or DevOps position. However, you should be comfortable working with data pipelines and taking services through the full lifecycle, from design and implementation to production monitoring. This is a hybrid position, including two work-from-home days per week, with flexibility.
Responsibilities:

* Design, build, and maintain backend services using Python and FastAPI
* Develop reliable integrations with external APIs, platforms, and data providers.
* Build and improve data -collection and processing workflows, including scheduled, asynchronous, and long-running workloads.
* Contribute to our new platform and capabilities such as algorithm execution and data collection orchestration.
* Design efficient data models and queries for operational databases and analytical systems such as Amazon Redshift.
* Handle real-world integration challenges including rate limits, retries, partial failures, idempotency, and changing external schemas.
* Improve the performance, scalability, observability, and reliability of existing services.
* Own features end to end: technical design, implementation, testing, deployment, monitoring, and ongoing improvement.
* Collaborate with product and engineering colleagues to turn ambiguous requirements into pragmatic technical solutions.

Biz Dev:
R&D
Remote/Part time:
Hybrid

We are seeking a skilled and experienced InfoSec & SecOps Lead to join Alice (Formerly ActiveFence) CISO team. The ideal candidate will be responsible for driving the security initiatives. Responsibilities:
* Maintain holistically security corporate architecture and Hardening, including network, systems, applications. Evaluate and implement security remediations to enhance the organization security posture.
* Corporate Security: Oversee security measures, including access control, surveillance, and emergency response planning. Manage relationships with external security vendors related to TPRM and IR.
* Experience among others on SSPM/SaaS security, IDP, SIEM/SOC, Including conducting threat modeling exercises to identify potential vulnerabilities and risks where required.
* Security Operations: Oversee the day-to-day security operations, including monitoring, incident response, Analyze security logs and alerts to identify & respond to security incidents. Conduct regular security assessments and manage the remediations program. Develop and maintain an effective incident response plan.Conduct post-incident reviews to identify lessons learned and improve future response efforts.
* Experience with Vulnerability Management: Identify, prioritize vulnerabilities. Monitor and track vulnerability remediation efforts.
* Collaborate with other teams within the organization to ensure the overall security posture is maintained. This may include working with IT, Devops, R&D, G&A to implement security policies and technical security procedures. Including all business units, educate employees on security best practices.
* AI Governance: Partner with Business Units to create safe-use guardrails for AI. Conduct security reviews for internal AI implementations, ensuring adherence to frameworks like the OWASP Top 10 for LLMs.
* Data Driven Metrics: Develop automated dashboards that track real-time security health, focusing on MTTR and reducing manual "toil" for the Security.



About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

HW Application Engineer - Job description: we are a leading supplier of microcontrollers and security hardware solutions for tier-1 customers in the computing and servers business. It is a self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. The group works closely with major customers, primarily key OEMs in the computing space, to develop semi-custom, innovative solutions for a wide range of application platforms. We are looking for a Hardware Application Engineer, to maintain and support our strong collaboration with our customers.
What You Will Be Doing
* Lead customers through all stages of designing their systems based on Nuvoton manageability and security microcontrollers (i.e., BMC, EC, SIO and TPM) from planning till production.
* Respond and resolve customer hardware related issues and requests, reported by the regional support team (FAEs) or directly by customers.
* Work closely with R&D, architects and PMs to provide issue resolutions, workarounds, and implement product features or support tools.
* Key contributor in complex debug tasks for issues found by customers; build debug strategies and hands-on work with the design team through the debug.
* Develop deep knowledge of customer applications and systems, recommend application solutions, design ideas and products to customer design teams.
* Develop and maintain technical documentation (e.g., reference schematics, application notes, design guidelines).
* Provide inputs and participate in next generation ICs definition based on customer inputs.
* Contribute to the definition of innovative and differentiated products.

We're looking for a seasoned Digital Native Account Executive to help expand our footprint among Israel's digital native companies - AI-native startups, cloud-first scale-ups, and next-generation tech companies - and shape the future of adoption in the region. This is an exciting opportunity to join after the general availability of our serverless Cloud product and play a pivotal role in defining how it is positioned and adopted with this fast-moving segment of the market.

Our ideal candidate brings both business acumen and technical depth, capable of guiding digital native customers with specialized expertise to help them achieve their objectives and unlock the full value .



What You'll Be Doing

Identify and nurture opportunities, build pipeline, and close short term Cloud monthly contracts with high-growth digital native companies, while simultaneously developing a strategic Enterprise business with complex sales cycles.
Evangelize vision and solutions across Israel's digital native ecosystem - from early-stage AI startups to scaling cloud-first companies - to secure strategic commercial commitments.
Take a solution-based approach to selling, delivering clear business value for customers.
Champion the innovation behind Cloud, driving awareness and adoption among fast-moving, cloud-native teams.
Manage customer details, including use cases, timelines, and forecasting, within Salesforce.
Deliver accurate monthly business forecasts.
Contribute to the ecosystem by engaging in local developer meetups and helping organize specific community events.

As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness speed and scale in the frameworks they already use.

We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with as a vector store, ML feature stores, and LLM-powered data applications.

columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do
Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

Who We’re Looking For – The Team Lead & Architect We’re looking for an experienced, hands-on AI Engineering Squad Lead to lead the team building the AI agents, intelligent workflows, and decision-making systems powering Chargeflow’s products. This role combines technical and architectural leadership with people leadership. You’ll lead engineers, build alongside them, and own production systems that must operate reliably, securely, and at scale. Our AI platform brings together models, data, tools, business logic, and intelligent workflows to solve complex problems across the chargeback and fraud lifecycle. These systems must understand context, make decisions, and take action in real time and under uncertainty. This isn’t a pure infrastructure or AI research role, and it isn’t about building impressive demos. It’s about turning rapidly evolving AI capabilities into reliable, production-grade products with measurable business impact. If you’re looking to manage tasks and stay above the code, this probably isn’t the role for you. About Chargeflow Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model. Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud. What You’ll Own
* Lead, mentor, and develop a team of strong software engineers while remaining deeply involved in architecture and code.
* Own the architecture and evolution of Chargeflow’s AI platform.
* Design and build production-grade AI agents, intelligent workflows, and decision-making systems.
* Combine LLMs with business logic, company data, external tools, and deterministic software to solve complex product problems.
* Own AI systems throughout their lifecycle, from design and implementation to deployment, evaluation, monitoring, and continuous improvement.
* Make thoughtful architectural tradeoffs across accuracy, latency, scalability, reliability, security, and cost.
* Turn ambiguous product and business problems into clear technical direction, milestones, and measurable outcomes.
* Build evaluation frameworks that measure system quality, correctness, reliability, and business impact.
* Raise the bar for code quality, system design, observability, and engineering execution.
* Review designs and code, challenge assumptions, and help strong engineers become exceptional.
* Partner closely with Product, Data, and other R&D teams to turn emerging AI capabilities into meaningful customer value.
* Help define how engineering teams at Chargeflow build software with AI while maintaining high standards for correctness, security, and maintainability.

Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness incredible speed and scale.