לוח משרות דרושים עבודה היברידית

Required QA Automation Engineer
The QA Automation Engineer will help to continuously improve the quality, reliability and end-user experience of various solutions delivered by our development team. Also, you will help efficiently deliver high-quality solutions to end users through the use of modern quality methodologies and test automation technologies combined with a streamlined release process. The individual must be forward-thinking and share in a common vision of quality, integrity and efficiency.
Responsibilities;
Define, write, maintain & perform manual & automated tests of multiple APIs, UIs & Web services for functionality, correctness and reliability
Maintain, expand and create automation solutions
Create, maintain and execute test, bug, story & other sprint board items in Azure DevOps
Analyze and understand functional and technical requirements to devise Test cases/Test scenarios that fully meets the testing scope to satisfy business/user/system requirements
Ensure prerequisites for testing are fully prepared, test data and test environment setup/configurations
Identify and log bugs during the Software Development life cycle till release to Production
Perform root cause analysis of the bugs and collaborate with the development team to resolve and test them
Work closely with the Support team to investigate and test customer and/or production issues.
Work with your lead on improving QA processes and practices and adhering to them to ensure that quality assurance standards are met.

We are looking for a Product Data Director to lead our global product data strategy and governance. In this role, you will own the vision, implementation, and continuous improvement of how data is captured, structured, and leveraged across our product ecosystem. Youll partner closely with Product, Engineering, BI, and Operations teams to ensure data excellence, enable data-driven decision-making, and unlock insights that enhance our products, customer experience, and business growth.
Responsibilities:
Develop and execute a comprehensive product data strategy aligned with our business goals.
Define and own data standards, taxonomy, and governance frameworks across all product lines.
Partner with Product, BI, and Engineering to design scalable data models and infrastructure supporting product analytics, reporting, and performance tracking.
Lead a cross-functional data excellence initiative, ensuring high-quality, accurate, and consistent data.
Work with product managers to embed data-driven decision-making in product planning, experimentation, and optimization processes.
Oversee the implementation of data instrumentation and tracking for new product launches.
Collaborate with the Analytics and Data Engineering teams to ensure data availability and reliability across systems.

Required Machine learning operations engineer
Your Mission:
As an MLOps Engineer, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across.
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

Required Technical Recruiter
As a Technical Recruiter based in Israel, youll be part of the engine behind our growth - bringing in the talent that drives our global success. Youll own the full recruitment lifecycle across a variety of roles across different locations, from sourcing and screening to stakeholder partnership and offer negotiation. Youll collaborate with hiring managers, build trusted relationships, and deliver an exceptional candidate experience every time. Were open to upskilling across 360 recruitment, but youll already bring solid stakeholder management and sourcing expertise - and if youve worked in payments, fintech, or high-volume hiring, thats even better.
Key Responsibilities:
Manage the end-to-end recruitment process for assigned roles across EMEA and APAC, ensuring a positive and exceptional experience for both candidates and hiring managers.
Source, attract, and engage top talent through various platforms, networks, and creative outreach methods
Build and maintain talent pipelines for critical or recurring positions
Conduct screenings and interviews, ensuring high-quality candidate evaluation and alignment with company culture
Maintain accurate records and data in Workable (ATS) and other tracking tools.
Collaborate with global TA colleagues to share best practices and ensure process consistency

We are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization. The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with our business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

We are looking for a Senior Product Manager to join our fast-growing AI & Data Science group. Reporting to our AI Product Director, you will be supporting the team building products for the next era of AI & Agentic Ecommerce - Where AI agents discover, negotiate, and purchase on behalf of users. You will lead the development of agent-ready experiences, ensuring interoperability with industry protocols, while driving measurable conversion, fraud, and cost outcomes for merchants. The ideal candidate will have a strong background in product management, a deep understanding of AI technologies, a passion for data driven insights, and the ability to translate complex technical concepts into market-leading products.
Responsibilities:
Define and execute the product roadmap for AI & Data Science solutions, aligning with company goals and market needs.
Drive the development and strategic vision for agentic commerce, agent-aware checkout and payment flows. Ensure protocol interoperability and compliance with leading industry standards such as AP2, Visa Trusted Agent Protocol, and Mastercard Agent Pay. Incorporate robust risk and trust signal mechanisms like agent verification, velocity controls, anomaly detection, and human-in-the-loop reviews, all while upholding Responsible AI guardrails.
Collaborate with cross-functional teams, including data science, engineering and commercial teams to bring products from conception to launch.
Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI & Agentic Commerce space.
Work closely with data scientists and engineers to define product requirements, prioritize features, and ensure technical feasibility.
Develop and implement go-to-market strategies, ensuring products meet user needs and achieve commercial success.
Monitor product performance, gather feedback from users and stakeholders, and iterate quickly to enhance product offerings.
Stay abreast of advancements in AI & Agentic technologies to continually innovate and improve our product portfolio.

Alice is seeking a driven and compassionate leader to serve as Research Team Lead - Online Child Safety. In this vital role, you'll oversee a skilled team tackling online child exploitation, including CSAM, grooming, sextortion, trafficking and more. You’ll manage workflows, ensure exceptional delivery, and foster a culture of innovation. If you’re a motivated leader passionate about creating safer digital spaces, we encourage you to apply. Responsibilities:
* Oversee research initiatives to deliver impactful insights and address risks.
* Develop data feeds and maintain databases to track harmful trends.
* Mentor team members, fostering professional growth and collaboration.
* Streamline workflows and implement automation for greater efficiency.
* Ensure timely, accurate, and high-quality client deliverables.
* Expand knowledge resources and monitor emerging threats like GenAI.

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.


Hybrid:
Yes