Product Data Operations

Engineering Team Lead - Activate

Customer Operations Specialist

Engineering Squad Lead - Engage

Data Analyst

Senior Product Manager

Marketing Analyst

Admin Manager

Talent Acquisition Specialist

VI is seeking a strategic Product Operations Specialist in Tel Aviv to ensure operational excellence in data-driven solutions for health, pharma, and wellness clients. This role involves translating client needs, conducting quality checks, collaborating on workflow improvements, documenting processes, and identifying automation opportunities to scale operations within a fast-paced startup environment.

Customer Operations Associate

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Description</h3>VI is the market-leading Enterprise-AI platform for health, powering the world’s largest health organizations. from Fortune 500 health providers to pharma and consumer brands- helping them maximize acquisition, enrollment, engagement, retention, and health outcomes. Vi offers 3 main product lines: Activate, Engage, and Transform.Backed by $125M+ in R&D, our powerful platform serves over 180 million members daily, and growing. We are based in New York, Austin, Nashville & Tel Aviv.We are looking for a strategic and driven Product Operations Specialist to join our growing team in Israel. This role will focus on ensuring operational excellence in the delivery of data-driven solutions, while supporting scalable processes that connect product, data, and client needs. You will work closely with cross-functional teams to maintain quality, streamline workflows, and contribute to the ongoing evolution of our platform and operations.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Responsibilities</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Support the creation and delivery of data-driven solutions for health, pharma, and wellness clients.</li><li class="leading-relaxed">Translate client needs into structured and actionable outputs.</li><li class="leading-relaxed">Conduct quality checks to ensure accuracy and feasibility.</li><li class="leading-relaxed">Collaborate with cross-functional teams to drive workflow improvements and operational efficiency.</li><li class="leading-relaxed">Contribute to process documentation and development of best practices.</li><li class="leading-relaxed">Assist in identifying and implementing automation opportunities to scale operations.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">1–3 years of experience in operations, product operations, data analysis, or campaign management (healthcare/marketing/tech background a plus).</li><li class="leading-relaxed">Strong analytical skills with the ability to structure complex problems into clear, actionable outputs.</li><li class="leading-relaxed">Excellent attention to detail and ability to manage multiple projects in parallel.</li><li class="leading-relaxed">Strong communication skills — able to explain technical work in simple, clear language.</li><li class="leading-relaxed">Proficiency in Excel/Google Sheets; experience with AI tools (e.g., ChatGPT prompt writing) is a plus.</li><li class="leading-relaxed">Self-starter with strong organizational skills, eager to grow in a fast-paced startup environment.</li></ul>

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PlayStation operates one of the largest digital commerce platforms globally. The Fraud & Payments Data Science team protects the PlayStation Network from abuse by building and maintaining real-time machine learning systems for risk evaluation, authorization optimization, and fraud detection. This role involves leading data scientists to develop fraud detection models, optimize payment outcomes, build experimentation frameworks, and drive operational insights across the commerce lifecycle, partnering with Fraud Operations, Payments Strategy, Finance, and Engineering.

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<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Why PlayStation?</h1>PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Data Science Manager, Fraud & Payments</h2>PlayStation | Store Publishing Operations & Commerce (SPOC)<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Who We Are</h3>PlayStation operates one of the largest digital commerce platforms in the world. The Fraud & Payments Data Science team protects the PlayStation Network from abuse while enabling seamless, secure purchasing experiences for millions of players. We build and maintain machine learning systems that evaluate risk in real time, optimize authorization performance, detect emerging fraud patterns, and drive measurable business impact across the payments ecosystem.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the Role</h3>We are hiring a Data Science Manager to lead the data scientists who develop fraud detection models, optimize payment outcomes, build standardized experimentation frameworks, and drive operational insights across the commerce lifecycle. You will partner closely with Fraud Operations, Payments Strategy, Finance, and Engineering to balance fraud prevention, revenue growth, and frictionless customer experience.This role is hands-on. You will guide modeling and analysis work directly, while also developing the team’s technical maturity, roadmap, and long-term capabilities.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Responsibilities</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead, coach, and develop data scientists working on fraud detection, risk modeling, and payment optimization</li><li class="leading-relaxed">Hire and grow talent; set clear expectations and provide ongoing career development and performance feedback</li><li class="leading-relaxed">Design, evaluate, and productionize machine learning models for real-time decisioning and post-transaction review</li><li class="leading-relaxed">Build standardized processes for experimentation, including champion vs challenger model evaluations, holdouts, and policy impact testing</li><li class="leading-relaxed">Apply causal inference to measure the incremental impact of controls and payment routing strategies</li><li class="leading-relaxed">Develop automated monitoring, anomaly detection, and alerting for emerging fraud patterns and behavior shifts</li><li class="leading-relaxed">Establish predictable operating rhythms with Fraud Ops, Payments, and Engineering to align objectives and drive execution</li><li class="leading-relaxed">Drive adoption of shared metrics, dashboards, and measurement frameworks across stakeholder teams</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Qualifications</h3>Required<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">8+ years of experience building and deploying machine learning models in production, ideally in fraud, trust & safety, risk scoring, or payments</li><li class="leading-relaxed">2+ years of demonstrated leadership of data scientists (formal management or senior technical leadership)</li><li class="leading-relaxed">Strong Python and SQL, and experience with ML toolkits (scikit-learn, XGBoost, etc.)</li><li class="leading-relaxed">Hands-on experience evaluating risk controls using experimentation, holdouts, or causal inference methods</li><li class="leading-relaxed">Ability to navigate tradeoffs between fraud loss, authorization success, revenue impact, and user friction</li><li class="leading-relaxed">Ability to simplify complex findings and influence product and operations decisions</li></ul>Preferred<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with real-time scoring systems or streaming data architectures</li><li class="leading-relaxed">Background in e-commerce, fintech, gaming, or digital marketplaces</li><li class="leading-relaxed">Experience with causal inference frameworks in applied / non-ideal conditions</li><li class="leading-relaxed">Familiarity with LLM classification or graph-based detection approaches</li></ul>*PlayStation offers a global hybrid office/remote working model — Flex Modes — which aims to combine the flexibility of remote working with the magic of in-person collaboration. The model is built upon the principle of working together in-person as work requires, with the freedom to work remotely otherwise.**Please refer to our <a href="https://www.playstation.com/en-us/legal/careers-privacy-notice/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Candidate Privacy Notice</a> for more information about how we process your personal information, and your data protection rights.*At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click <a href="https://careers.playstation.com/benefits" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">here</a> to learn more.This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below.$186,000 - $279,000 USDEqual Opportunity Statement:*Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.**We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.**PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.*

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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