Jobs in Tel Aviv-Yafo

We're reimagining enterprise Identity and Access Management from the ground up. Founded by serial entrepreneurs Shai Morag and Tal Marom and backed by a $60M seed round from Greylock, Accel, and CRV, we're building the next generation of identity security. Identity is the gateway to everything- who's let in, who's kept out, and it's now the number one attack vector in the enterprise. The tools built to govern it were designed for a slower world of human users and static environments. That world is gone. Identities are exploding across human, machine, and AI agents faster than legacy systems can track, and security teams are left patching together five disconnected tools that still can't answer "who has access to what, right now." We think the answer isn't another point solution- it's a new foundation. Oak is the AI-native Identity Operating System: an AI connector framework that reaches any application, a live identity graph built from raw evidence, and a team of AI agents that governs the full lifecycle of every identity in one platform. We're building Oak's AI-native core from day one-engineered for what enterprise identity is becoming, not patched onto what it used to be. And we're just getting started. About the Role: Oak's Vulnerability Research is the sharpest edge of our technical work - the team that takes systems apart to learn how they truly work, and where they break. We go deep into the mechanisms, protocols, and architectures that modern technology is built on, and we pressure-test the assumptions the rest of the industry takes for granted. Sometimes that work sharpens the platform, sometimes it stands entirely on its own, as an original research novelty. As a Vulnerability Researcher, you'll build first-principles understanding of the technologies and systems you investigate, then go looking for what's wrong with them: the flawed assumptions baked into established paradigms, the gap between how a system is meant to behave and how it actually behaves, and the novel vulnerabilities and exploitation techniques no one has named yet. This is hands-on, deep technical work - reverse-engineering, breaking, and finding what's exploitable before an attacker does. You'll have the room to follow the research where it leads, and the backing of an ecosystem created to set you up for success by providing every tool and access that could help. Some threads will feed directly into how Oak understands what's genuinely exploitable, grounding the platform in real attacker reality rather than theoretical risk. Others will be pure discovery, pursued because the problem is hard and the finding truly matters, and published to move the field forward. Either way, your work establishes Oak's authority in the field. Through original research, disclosures, and technical thought leadership, you'll build a body of work that earns the respect of the security community and sharpens how the industry thinks about what's truly secure. What you will Do: • Hunt for what established security paradigms miss: flawed assumptions, gaps between specified and actual behavior, and novel vulnerability classes and exploitation techniques that don't yet have names. • Reverse-engineer and deeply understand systems, protocols, and architectures at the implementation level - developing a precise understanding of how they actually work, rather than what their designers intended. • Develop hypotheses and convert them into working proof-of-concept exploits that demonstrate real-world risk before attackers do. • Own research threads end-to-end, from an early exploration, developing and following hunches all the way through to a proof of concept, responsible disclosure or publication, following the evidence wherever it leads without waiting for a defined playbook. • Ground Oak's understanding of exploitability in attacker reality - when research surfaces findings relevant to how the platform models identity attack surface across human and non-human identities, bring that signal in. • Promote Oak's standing in the security community through original research, CVEs, and technical thought leadership that advances the field and earns trust on its merits. What you will bring: • 6+ years of hands-on vulnerability research, reverse engineering, or offensive security, with a proven track record of finding non-trivial flaws and the depth in systems, protocols, and architectures to understand precisely why they exist. • A first-principles approach to how things actually work, not how they're documented to work: you pull the thread until you hit ground truth, and you're not satisfied until you do. • The instinct and ability to see what others overlook - the unquestioned assumptions in established systems, the edges no one has tested, the failure modes that live in the gap between spec and implementation. • End-to-end ownership of research: you drive hypotheses to conclusions through dead ends, changes of directions and reach hard proofs • Strong hands-on expertise, converting theories and research into a working chain and proof of concept. • Result driven depth: you go as far as a problem deserves, because the result is worth it, and you know when it is. • A track record of original significant discoveries - published CVEs, novel vulnerability classes or exploitation techniques, research that named a problem the field didn't have words for yet. Nice to have: • History of presenting original research at Black Hat, DEFCON, OffensiveCon, Hexacon or a comparable security conference. • Significant CVEs (CVSS High or Critical) under your name.

Description You'll design the architecture that lets AI run compliance at scale. Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. AI isn’t a feature at Sedric — it’s the product. Every agent, LLM flow, and retrieval pipeline that runs a customer’s compliance program runs on backend systems someone has to design, build, and keep fast, accurate, and cost-efficient at scale. We’re looking for a hands-on AI engineer who designs those systems and writes the code. You’ll own the architecture of our AI backend end to end, ship it to production, monitor how it performs with real customers, and raise the bar for the engineers around you through code reviews, design reviews, and mentoring. The mission? We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product — they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business. This role reports to the AI team Dev Team Lead and is based in Tel Aviv (hybrid model). This is a hands-on engineering role. It’s not a research position and not a people-management role. You’ll spend most of your time designing and building production systems. What You’ll Own You'll own Sedric's AI reference architecture end to end — the patterns, standards, and platform capabilities that every AI initiative across engineering builds on. You'll lead architecture reviews, set the technology roadmap, and make the call on what we adopt, pilot, or retire. • Design and build the backend architecture for Sedric’s AI agents, LLM pipelines, and retrieval systems, and write a large share of the production code yourself • Take AI capabilities from prototype to production in a multi-tenant SaaS environment • Optimize for scale and cost: model selection, prompt and token efficiency, caching, batching, latency, and infrastructure spend • Build monitoring and evaluation for AI quality in production (accuracy, false positives, drift, cost per customer) and act on what it shows • Set engineering standards for AI development and mentor engineers through pairing, code reviews, and design reviews • Bring new AI techniques into the product when they solve a real customer problem, and prove it in production Requirements You're a fit if… • You have 5+ years of ML/AI architecture experience in a SaaS company • 3+ Backend development experience • You bring both the technical depth and the leadership range this role demands. • You've built agentic systems with tool use, planning, and multi-step reasoning in production, not just in a notebook • You've set up AI governance and evaluation harnesses from scratch • You have proven, hands-on experience with AI in production systems • You can take a project from concept to shipped and interface with stakeholders the whole way • You hold a relevant degree; an advanced degree in CS, ML, Statistics, or a related field is a plus • You're comfortable in front of customers and executives, translating technical tradeoffs into business terms You're probably not a fit if… • You want to execute against someone else's architecture, not design your own • You'd rather avoid customer or stakeholder conversations than lead them • You think about the technology and skip the business context it lives in • You need long runway before shipping — this role moves fast and mixes design with execution • You want a playbook handed to you rather than writing the first one What Success Looks Like Your first 90 days goals: • Day 30 — You understand the AI architecture of the platform end to end — the systems, the constraints, the decisions already made. • Day 60 — You've shipped LLM-driven improvements and optimized existing flows for latency and reliability. • Day 90 — You own AI design across the platform — teams come to you before they build, not after. Compensation & Benefits • Competitive salary aligned with industry standards • Meaningful equity in a high-growth compliance AI company • Direct access to leadership — no bureaucracy between you and impact • Flexible, output-first culture — we care what you ship, not when you log on • Work on problems that matter in an industry that’s ready to change How to Apply & Important Notice Do you think that this is for you? apply directly or send your resume to [email protected]. Equal Opportunity Employment Sedric.Ai is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or protected veteran status. AI & Recording Disclosure: To streamline our hiring process and ensure a thorough review, Sedric.Ai utilizes AI-powered tools to evaluate resumes, and our interviews may be recorded or assisted by an AI note-taker. By submitting your application, you acknowledge and consent to the use of these technologies during the recruitment process. If you prefer to opt out of AI resume screening or interview recordings, please notify our recruiting team at [Insert Contact Email/Link] to request a manual review or unrecorded interview.

Description Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. Our data lives in silos — Postgres, Snowflake, product usage, customer interactions, billing, infrastructure costs. Each one tells part of the story. Nobody sees the whole picture. When leadership asks “why did our cloud costs jump 30%?” or “which customers are actually driving growth?”, we spend days stitching together an answer that should take an hour. That gap slows down the decisions that matter most. We’re hiring our first Data Lead to close it. This is an engineer who thinks like an operator: you’ll build the foundation — architecture, pipelines, models — and then use it to connect product behavior, customer outcomes and business performance into one view that drives strategy. No inherited warehouse, no dashboard graveyard, no analyst backlog. A blank page, and a company that needs you to fill it. The Data Lead reports to our Head of Product, is based in Tel Aviv (hybrid), and works daily with Product, Engineering, Operations (GTM) and Finance. What You’ll Own The full data lifecycle — from raw data and modeling to insight, recommendation and measurable impact. You build the infrastructure, but the job is the decisions it enables. You go from data to analysis to action, and you own the outcome. • Data architecture — design and evolve the stack connecting Postgres, Snowflake, product usage, customer interaction, billing and infrastructure cost data into one source of truth • Pipelines and models — build and maintain production-grade ETL pipelines and clean, reusable data models in Snowflake and dbt • Data quality — set up checks and monitoring so nobody has to wonder whether a number is right • Product KPIs — define the metrics that matter across product, operations and the business, with one shared definition per metric • Strategic analysis — connect product usage, customer behavior, revenue and costs to answer the questions leadership is actually asking: where we grow, where we leak margin, what to build next • Product enablement — give Product the usage, adoption and retention insight it needs to prioritize, and make our own AI measurable: model accuracy, false positives, customer outcomes • Business operations enablement — give GTM and Finance self-serve dashboards, alerting and analysis on pipeline, revenue, unit economics and cloud costs • Impact — turn findings into initiatives with Product, Operations, Engineering and Finance, then measure whether they worked • AI-driven execution — use AI tools to write, review and debug SQL and dbt faster, so your time goes into judgment, not boilerplate Requirements You’re a fit if… You bring a data engineer’s foundation, an analyst’s business instinct, and the judgment to know when a simple query beats a sophisticated pipeline. • You have 5+ years of hands-on experience in data engineering or analytics engineering, with real exposure to business analytics • Your SQL is strong — this is a must — and you have deep experience with relational databases • You’ve built production-grade ETL pipelines and data models, not one-off scripts — ideally on Snowflake and dbt, with Python where it’s needed • You’ve built BI dashboards (Looker, Tableau, Omni or similar) and defined KPIs people actually trust • You connect the dots across domains — product usage to revenue, customer behavior to cost — and turn to an ambiguous question like “why did costs go up?” into a validated answer and a recommendation • You explain complex analysis clearly to engineers and executives, and you use it to move decisions, not just inform them • You’re skeptical of numbers that don’t add up, and won’t ship a dashboard you don’t trust yourself • You’ve been the first or only data person somewhere before, or you’re ready to be • Bonus: experience with product analytics or customer interaction data (calls, chats, messages), early-stage high-growth startups, or AI-driven products You’re probably not a fit if… • You want a fully built warehouse and a backlog of tickets waiting for you • You’d rather build the perfect pipeline than answer the business question in front of you • You’re a pure analyst who hands off the moment data needs engineering — or a pure engineer who stops at the pipeline • You need someone else to tell you which metrics matter • You see BI as a reporting function, not a decision-making one • You’re uncomfortable being the only data person in the room What Success Looks Like Day 30 — Mapped every data source across product, customer interactions, billing and infrastructure, and shipped a data quality audit flagging the biggest gaps and inconsistencies. Day 60 — Shipped the core data models and the first set of high-value product and business dashboards, with KPI definitions every team has signed off on. Day 90 — Delivered a data roadmap, moved at least one core metric from disputed to trusted, and brought leadership a data-driven recommendation that changed a decision. Compensation & Benefits • Competitive salary aligned with industry standards • Meaningful equity in a high-growth compliance AI company • Direct access to leadership — no bureaucracy between you and impact • Flexible, output-first culture — we care what you ship, not when you log on • Work on problems that matter in an industry that’s ready to change How to Apply & Important Notice Do you think that this is for you? apply directly or send your resume to [email protected] Equal Opportunity Employment Sedric.Ai is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or protected veteran status. AI & Recording Disclosure: To streamline our hiring process and ensure a thorough review, Sedric.Ai utilizes AI-powered tools to evaluate resumes, and our interviews may be recorded or assisted by an AI note-taker. By submitting your application, you acknowledge and consent to the use of these technologies during the recruitment process. If you prefer to opt out of AI resume screening or interview recordings, please notify our recruiting team at [Insert Contact Email/Link] to request a manual review or unrecorded interview.

Papaya is one of the world’s fastest-growing mobile gaming companies, delivering engaging, high-performing games to millions of players. Based in Tel Aviv, our mission is to create exceptional gaming experiences through outstanding product thinking, innovation, and execution. At the VP of Product you are the connective tissue between business strategy, customer needs, and technical execution. The VP of Product ensures the organization is building the right product for the right business outcomes. This role requires a deep understanding of Gaming Market trends, User acquisition and onboarding, player motivation and engagement, platform design, live operations and meta features, and monetization strategies. You will work closely with Engineering, Data, Customer success, Marketing and business teams to develop a scalable, high-performance gaming ecosystem that enhances player experiences and drives business growth. You will lead a team of ~15 product managers, Artists and Game Designers across multiple domains, including Core Gameplay, backend services, data infrastructure, payments, game economy tools, meta-features, live-op tools, personalization, and more. You will work cross-functionally with company leadership, engineering, data, and game teams to build great games and a scalable and robust platform that powers our games and player experiences. If you thrive in fast-paced, high-growth environments and are passionate about building world-class platform solutions and working in a super exciting gaming company, keep reading, this might be just what you are looking for! Responsibilities Vision & Strategic Alignment: Market & Business Integration, from Vision to Product Strategy. Translates the company vision and mission into a cohesive product strategy that ensures we can deliver our promise while meeting our business goals (revenue, conversion, retention). Portfolio Ownership: Decides where to invest resources, when to launch new products and features, and when to sunset underperforming ones. Competitive Positioning: Keeps a pulse on market trends, competitor moves, and customer shifts to keep the product ahead of the curve. Team Leadership & Scalability: Building the Org: Recruits, develops, and mentors Product Managers, Designers, and Game Design professionals. Process & Tooling: Implements scalable frameworks for discovery, prioritization, and roadmapping without stifling speed. Cross-Functional Bridge Building: Partner closely with the CEO and executive leadership to shape company strategy and product direction. GTM Synergy: Partners closely with Business Owners, Marketing and Customer Success to ensure products can be effectively positioned, scaled, and supported. Engineering Partnership: Works hand-in-hand with the VP of Engineering, VP Data and CTO to balance speed-to-market with technical debt. Metrics & Accountability: North Star Metrics: Defines and tracks top-tier product metrics (e.g., LTV, CAC payback, retention, adoption). ROI of R&D: Ensures engineering and product investments yield clear business value. Requirements At least 10 years of experience in product management, with experience in the Gaming industry and mobile apps specifically. Exceptional leadership and stakeholder management skills, with experience working closely with CEO, company leadership, game units, and cross-functional teams. Strategic mindset with strong execution skills, able to balance long-term vision with day-to-day decision-making. Proven track record of launching and scaling platform-level products in the gaming or entertainment industry. Experience leading product teams of ~15 people, including managing managers, hiring, mentoring, and scaling teams in high-growth environments. Experience with monetization strategies, matchmaking, social features, and live operations. Strong technical acumen – Ability to work closely with engineering teams and understand complex technical architectures. Data-driven mindset with expertise in analytics, KPIs, and player behavior insights. Passion for gaming and deep knowledge of player communities and trends. Experience in fast-growing startups or environments with strong founder influence. Strong change management skills and adaptability.

Papaya is one of the world's fastest-growing mobile gaming companies, delivering engaging, high-performing games to millions of players. Based in Tel Aviv, our mission is to create exceptional gaming experiences through outstanding product thinking, innovation, and execution. We are looking for an experienced and strategic Director of Performance to lead our Performance Marketing organization and drive sustainable growth across Papaya's portfolio of mobile games. In this role, you will own the overall User Acquisition, Retargeting, and Performance Marketing strategy, leading a high-performing team and overseeing multi-million-dollar marketing budgets across multiple games, markets, and channels. You will combine strategic thinking, deep performance expertise, strong analytical capabilities, and people leadership to identify growth opportunities, optimize investment, and continuously improve the efficiency and scale of our acquisition efforts. You will work closely with senior leadership and cross-functional teams across Marketing, Creative, Product, BI, Monetization, and Data to translate business goals into measurable growth. Responsibilities Own and define the overall Performance Marketing, User Acquisition, and Retargeting strategy across Papaya's portfolio of mobile games. Lead, mentor, and develop the Performance/UA organization, building a high-performing, data-driven team and developing future leaders. Own and optimize multi-million-dollar marketing budgets, ensuring efficient allocation across games, channels, markets, and platforms. Drive growth and profitability through continuous optimization of ROAS, LTV, CAC, retention, and user growth. Identify new growth opportunities, channels, platforms, and markets, and lead their evaluation and implementation. Set performance goals, KPIs, processes, and best practices across the organization. Oversee campaign strategy and performance across major self-serve platforms, while driving GTM and product marketing initiatives to support growth and successful product launches. Leverage data, attribution, experimentation, and market insights to make informed investment and growth decisions. Partner closely with Creative to shape creative strategy, testing frameworks, and the development of high-performing ad creatives. Work cross-functionally with Product, BI, Monetization, Data, and other stakeholders to identify opportunities and improve the full acquisition and monetization funnel. Build strong relationships with key advertising partners and stay ahead of industry trends, platform developments, and emerging growth opportunities. Establish a culture of experimentation, continuous learning, and data-driven decision-making across the Performance organization. Present performance results, business insights, forecasts, and strategic recommendations to senior leadership. Requirements 7+ years of experience in Performance Marketing / User Acquisition, with significant experience in mobile gaming. 3+ years of people management experience, including leading managers and/or a multi-layered Performance/UA organization. Proven experience owning large-scale UA and Retargeting operations across multiple games, markets, and channels. Excellent stakeholder management and communication skills, with the ability to influence senior leadership and drive alignment across multiple functions. Strong strategic, organizational, and problem-solving skills, with the ability to operate effectively in a fast-paced environment. Extensive experience managing and optimizing multi-million-dollar marketing budgets, with clear ownership of business and growth outcomes. Deep expertise in performance marketing metrics, including ROAS, LTV, CAC, retention, payback, and user growth. Extensive hands-on knowledge of major self-serve advertising platforms, including Social (Meta, Tiktok…), DSP+SDK (Applovin, Unity, Liftoff, Moloco, Mintegral), content, CPE (rewarded traffic), ASA, CTV, and others. Strong understanding of mobile attribution and measurement, including platforms such as AppsFlyer and Adjust, and the broader mobile measurement ecosystem. Strong analytical and business acumen, with the ability to translate complex data into strategic decisions and clear business recommendations. Proven experience partnering with Creative teams to develop, test, and scale high-performing ad creatives. Strong understanding of experimentation, performance optimization, and growth strategy in a mobile gaming environment. Advanced Excel skills; experience with SQL, Tableau, or other BI tools is a strong advantage, along with a demonstrated ability to leverage AI and adopt new tools, technologies, and methodologies to improve analytical processes and efficiency. Fluent English, both written and spoken.

Papaya is one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. The company is headquartered in the heart of Tel Aviv. We are seeking a talented, highly motivated Assistant Controller to join our finance team. In this role, you will report directly to the Corporate Controller and take an active role in the day-to-day financial operations of a global gaming leader. This is an ideal opportunity for a top-tier CPA looking for their first challenge in the high-tech industry. You will be part of a dynamic team, learning how to manage complex global finances while supporting our scale-up journey. Responsibilities Execute monthly, quarterly, and annual closing processes to ensure timely and accurate financial reporting Prepare consolidated financial statements and management reports in strict accordance with US GAAP Coordinate the annual audit process by working closely with external auditors and preparing all necessary schedules Manage the preparation of data and documentation for global tax filings, including VAT, Corporate Tax, and US Sales Tax Oversee intercompany reconciliations and ensure the accuracy and integrity of global financial records Partner with the Corporate Controller to streamline financial workflows and implement new tools and automation Support the finance team with analytical projects and provide insights to improve financial performance Requirements At least 3 years of relevant experience in accounting or financial reporting. Licensed CPA; Big 4 internship experience is a must. Direct experience auditing high-tech companies. Solid command of US GAAP principles. Advanced Excel skills and strong analytical capabilities. Excellent interpersonal and communication skills. Fluent English proficiency Tech-savvy with a proven ability to independently master new systems and ai tools. A highly organized "self-starter" who balances attention to detail with a team-oriented approach.

Papaya is a leading skill-based mobile gaming company, bringing together fun, competition, and real rewards for millions of players worldwide. Driven by our vision to create one of the world's most exciting player communities, we develop games powered by a large-scale B2C platform that supports tens of millions of daily tournaments and connects players around the world through social competitions. Located in the heart of Tel Aviv, we offer a fast-moving environment, culture of innovation, professional growth, and the opportunity to make a true impact. About the Team Optimus is the backbone of Papaya's product: we build and run the core infrastructure behind nearly every player-facing feature, at the scale of millions of players and tens of millions of daily tournaments. What we own: The core product platform: shared backend services every squad builds on, built for high throughput and low latency. Live configuration and experimentation: A/B testing, targeting and real-time tuning for every feature. Scale, reliability and cost: keeping the platform fast, stable and cost-efficient as it grows. We also own Optimus, our internal back-office tool, which the whole company uses to run games and features live. We are a senior, high-ownership team that sets technical standards, partners with every product squad, Client (Unity), Product and BI, and leads in AI-assisted development. Responsibilities You'll design, build and own the infrastructure behind Papaya's games and features, and set technical direction for shared platform services. You'll make our systems scale better and cost less, handling heavy API traffic and request spikes when new events go live. Responsibilities Build and own high-scale backend infrastructure that powers most of our products. Lead solutions end to end, from challenging requirements through design and production to measuring results. Drive architecture decisions and mentor developers through design and code reviews. Own your systems in production: actionable alerts, incident investigations and root-cause analysis. Build with AI every day using Claude Code and our internal agent tooling, and help shape the team's shared skills, connectors and agent workflows. Evaluate and adopt new technologies and frameworks where they fit. Tech stack: AWS, Kubernetes, Node.js, TypeScript, Redis, MySQL Requirements 4+ years of hands-on experience designing and building complex server applications. Proven experience operating high-load systems in production. B.Sc. in Computer Science, Software Engineering, or a related field. Strong hands-on experience with a major cloud provider (AWS, GCP or Azure). Backend experience in Node.js, Java or C#. Solid grasp of data modeling and caching (MySQL, Redis). A drive to adopt cutting-edge technologies for complex engineering challenges. A proactive, problem-solving mindset and a high bar for production-ready code. Hands-on use of AI coding agents (Claude Code, Cursor, Copilot or similar) in real production work, not just autocomplete. You know how to break down tasks, give the agent context and verify its output. Advantages Extensive experience with high-scale, high-throughput distributed systems. Experience building platform services for other engineering teams. Background in mobile gaming or large-scale B2C mobile platforms. Data-driven product work: A/B tests, BI, SQL analytics (e.g. Snowflake). Knowledge of client-side development in C# (e.g. Unity).

Papaya is a leading skill-based mobile gaming company, bringing together fun, competition, and real rewards for millions of players worldwide. Driven by our vision to create one of the world's most exciting player communities, we develop games powered by a large-scale B2C platform that supports tens of millions of daily tournaments and connects players around the world through social competitions. Located in the heart of Tel Aviv, we offer a fast-moving environment, a culture of innovation, professional growth, and the opportunity to make a true impact. We're looking for a Treasury Manager to lead Papaya's global treasury operations in a high-scale, international gaming environment. This role combines hands-on ownership with strategic responsibility and meaningful impact. Responsibilities Manage global cash and liquidity, including daily cash positioning, funding needs, and coordination with the Accounting team. Own cash flow forecasting and analysis, including monthly Free Cash Flow analysis, monitoring performance against budget and forecast, and explaining key variances. Develop and maintain the company's investment policy and manage its investment portfolio across marketable securities and bank deposits. Manage global FX exposure and hedging activities, including risk analysis, execution, and reporting. Manage relationships with banks, financial institutions, and payment service providers, optimize banking structures and costs, and support financing activities. Oversee treasury reporting, financial statement disclosures, internal controls, and compliance with applicable requirements and policies. Requirements Bachelor's degree in Finance, Economics, or Accounting. At least 5 years of experience in treasury management. Experience working with domestic and international financial institutions. Experience with treasury and online banking systems, including system implementation and process improvement. Strong analytical and problem-solving skills, attention to detail, and ability to work independently in a fast-paced environment. Excellent communication skills in English and Hebrew, with the ability to build strong relationships with internal and external stakeholders.

Papaya is a leading skill-based mobile gaming company, bringing together fun, competition, and real rewards for millions of players worldwide. Driven by our vision to create one of the world's most exciting player communities, we develop games powered by a large-scale B2C platform that supports tens of millions of daily tournaments and connects players around the world through social competitions. Located in the heart of Tel Aviv, we offer a fast-moving environment, culture of innovation, professional growth, and the opportunity to make a true impact. We are looking for people who play for real and want to shape the future of gaming with us. Now, our top-performing Solitaire studio is looking for a Game Economy Team Lead to lead its team of game economists. This is a hands-on leadership role. You'll own the health of the Solitaire economy end to end, from feature ideation to post-launch tuning, while growing a team of talented economists and shaping how economic decisions are made across the studio. Responsibilities Lead, mentor, and develop a team of Game Economy Managers, fostering high-quality execution, knowledge-sharing, and continuous professional growth. Own the economic health of our Solitaire games: monitor and balance currencies, resources, sinks and sources, and inflation using data analysis and simulations. Stay hands-on by building economic models and simulations, tuning feature configurations, and diving into data to solve the most complex economy challenges. Drive the economic design of new and existing features, including tournaments, LiveOps events, progression systems, and rewards, making sure economy aspects are properly scoped from day one. Plan, prioritize, and review complex A/B tests, and translate results into clear, actionable recommendations. Implement and uphold the economy guidelines, processes, and standards set by the Head of Game Economy, and help evolve them across the portfolio. Partner closely with Product, Monetization, Game Design, Analytics, and Engineering to balance revenue goals with player engagement and long-term retention. Be a key voice in studio roadmap discussions, bringing economic insights that influence feature priorities, pricing, and reward strategies. Present findings and recommendations to studio and company leadership. Manage team workload and priorities, provide ongoing feedback, and take part in hiring and onboarding new team members. Requirements 4+ years of experience in a Game Economy role within the gaming industry, ideally in free-to-play mobile games- A must. Experience leading or mentoring analysts or economists, formally or informally- A must. Deep understanding of game economies: sinks and sources, inflation control, reward systems, progression, and their impact on retention and monetization. Proven experience designing, running, and analyzing A/B tests. Strong proficiency in SQL, and experience building economic models and simulations in Excel, Google Sheets, Python, or R. Experience using AI tools and LLMs (e.g., Claude, ChatGPT) to streamline analysis, modeling, and research. An advantage. Experience with skill-based, competitive, or tournament-based games. An advantage. B.A. / B.Sc. in Industrial Engineering, Mathematics, Statistics, Economics, Computer Science, or an equivalent background. Soft Skills A natural leader who raises the bar for the team while staying close to the details. Ability to turn complex economic concepts into clear, actionable recommendations for both technical and non-technical stakeholders. Excellent communication skills in English, both written and verbal. A pragmatic mindset that balances data-driven rigor with creativity and player empathy. Thrives in a fast-paced, fast-growing environment with a can-do approach. Why Join Us? Lead the team that owns and shapes the economy of Solitaire games played by millions of players worldwide. Work with one of the industry's top-performing teams. Grow your leadership career in a company that values creativity, ownership, and continuous learning.

Papaya is a leading skill-based mobile gaming company, bringing together fun, competition, and real rewards for millions of players worldwide. Driven by our vision to create one of the world's most exciting player communities, we develop games powered by a large-scale B2C platform that supports tens of millions of daily tournaments and connects players around the world through social competitions. Located in the heart of Tel Aviv, we offer a fast-moving environment, culture of innovation, professional growth, and the opportunity to make a true impact. We run real-money skill-based games where many product decisions are prediction problems: who will churn, who will deposit again, what a fair match looks like, and whether a marketing cohort will pay back. We're hiring a Growth Data Scientist to replace heuristics with production models that directly influence what players see and do. This is not a research role you'll own problems end to end, from problem definition and labeling to data, modeling, backend integration, and measuring impact. Responsibilities Cohort LTV & Churn Prediction. A per-player risk score for depositors, labelled against repeat-deposit KPIs wired to real interventions, and cohort-level LTV:CAC maturation modelling to tell marketing in-month whether a cohort will pay back within a year. CRM & Lifecycle Optimization. Building models to trigger personalized Push and Email notifications at the exact right moment, matching the right communication journeys to the player's specific lifecycle stage and behavior. Deposit-after-N-days-without-deposit probability. A conditional/hazard model for the likelihood a lapsed depositor deposits again given N days of inactivity feeding RV model targeting and treatment timing. Lobby suggestion. Which tournaments and which entry-fee tiers to surface to which player. Today the lobby is driven by hand-built segmentation rules; we want a learned ranking model that trades off engagement, monetization, and matchmaking liquidity. Store suggestion. Personalized offer and pack ranking in the store, replacing static store-segmentation configs picking the right offer, at the right price point, at the right moment. Requirements 4+ years of applied data science in growth, monetization, retention or lifecycle with models you personally got into production and can point to a business decision they changed. Prior domain experience is required, not a bonus: mobile gaming, real-money gaming/iGaming, or a consumer app with a live in-app economy. You should already think in LTV, ARPDAU, D-n retention, offer elasticity, entry fees and payback windows without being taught the vocabulary. Hands-on propensity, churn, uplift, survival/hazard and LTV modelling. Recommendation or ranking experience is a strong plus. Python at production quality (LightGBM/XGBoost; PyTorch or TensorFlow for embedding-based work) and strong warehouse SQL (Snowflake, BigQuery). Real experimentation depth designed tests, sized them, and read them honestly. Including at least one case where a clean A/B wasn't available and you still produced a defensible impact claim.

Papaya is a leading skill-based mobile gaming company, bringing together fun, competition, and real rewards for millions of players worldwide. Driven by our vision to create one of the world's most exciting player communities, we develop games powered by a large-scale B2C platform that supports tens of millions of daily tournaments and connects players around the world through social competitions. Located in the heart of Tel Aviv, we offer a fast-moving environment, culture of innovation, professional growth, and the opportunity to make a true impact. We are looking for people who play for real and want to shape the future of gaming with us. About the Team: WildCard is a product-facing backend squad in our Features Tribe. We own the systems that keep players coming back beyond the prize: the Store, Collectibles, Ranking & Seasons, the Friends social layer and the Gold Nuggets in-game economy. We work closely with Client (Unity) developers, Product and BI. Everything we ship is A/B tested and configured live through our internal back-office tool. In this role, you'll design and build game features that keep players engaged over the long term by giving them memorable, enjoyable experiences beyond winning rewards. You'll work closely with Client developers, Product and BI to design, ship and measure features that directly affect our global player base. You'll also make our systems scale better and cost less, by building heavy API call volumes and taming request spikes when a new event goes live. Responsibilities Build and own a high-scale backend platform for millions of users. Lead solutions end to end, from challenging the requirements through design and production to measuring the results, with designs that shorten time-to-market. Own your systems in production: set up honest, actionable alerts and find the root cause of every bug. Build with AI every day: use Claude Code and our internal agent tooling to design, write, test, review and debug code. Help shape how the team uses it, including shared skills, internal connectors and agent workflows. Try out new technologies, tools and 3rd-party frameworks, and adopt them where they fit to deliver state-of-the-art tech. Tech stack: AWS, Kubernetes, Node.js, TypeScript, Redis, MySQL Requirements Minimum of 3+ years of proven, hands-on experience in the design, architecture, and development of complex server applications. B.Sc. in Computer Science, Software Engineering, or a highly related technical field. Demonstrated expertise in cloud environment, with substantial practical experience operating within major cloud providers (AWS, GCP, or Azure). Experience in at least one major backend development language (specifically NodeJS, Java, or C#). A relentless drive to evaluate and adopt cutting-edge technologies to solve complex engineering challenges. Solid grasp of data modeling and caching: relational databases (MySQL) and Redis. A highly proactive, problem-solving mindset with a strict commitment to execution excellence and delivering production-ready code. Hands-on use of AI coding agents (Claude Code, Cursor, Copilot or similar) in real production work, not just autocomplete. You can explain how you break down tasks for an agent, give it the right context, and check its output. Advantages Extensive experience designing, building, and maintaining high-scale, high-throughput distributed systems. Prior background working within the mobile industry, particularly in mobile gaming or large-scale B2C mobile platforms. Data-driven product work: A/B tests, working with BI, analytics in SQL (e.g. Snowflake).

Papaya is a leading skill-based mobile gaming company, bringing together fun, competition, and real rewards for millions of players worldwide. Driven by our vision to create one of the world’s most exciting player communities, we develop games powered by a large-scale B2C platform that supports tens of millions of daily tournaments and connects players around the world through social competitions. Located in the heart of Tel Aviv, we offer a fast-moving environment, a culture of innovation, professional growth, and the opportunity to make a true impact. We're looking for a Customer Support Agent to join our team and play a key role in building player trust and satisfaction across our global gaming community. Responsibilities Serve as the primary point of contact for players, providing high-quality email support for everyday gameplay questions and sensitive or complex inquiries. Provide clear and accurate information about Papaya’s products, features, and services. Handle player complaints and de-escalate challenging situations with empathy and sound judgment. Collaborate with Product, Operations, and Legal teams to investigate and resolve complex player inquiries. Collect and share player feedback with Product and Support teams to drive continuous improvement. Requirements 2–3 years of Customer Support experience (email/chat) from a gaming company. Native-level English proficiency, both written and spoken. Strong communication and interpersonal skills, with a customer-centric approach and the ability to handle complaints, resolve conflicts, and de-escalate challenging situations. Strong troubleshooting skills and the ability to navigate multiple applications, tools, and platforms simultaneously. A creative, can-do mindset, with a proactive approach to problem-solving, fresh ideas, and teamwork. Excellent attention to detail and the ability to thrive in a fast-paced, high-pressure environment.

Papaya is one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. The company is headquartered in the heart of Tel Aviv. We are looking for a sharp and passionate Analyst to join our top-notch analytics team. Using your technical and analytical skills, your mission will be to tell the story behind the numbers, understand how players interact with our games, and leverage our data to propose new ideas that you'll then see implemented. We encourage the use of AI tools and expect our Data Analysts to leverage them alongside strong hands-on analytical skills. Responsibilities Use statistical and mathematical methods to recommend new ways to optimize and maximize player retention and game revenue. Analyze large, complex data sets to solve business questions and be a data-oriented users behavior expert. Build dashboards and reports to facilitate understanding of key business metrics and players' experience. Work closely with developers and product teams to execute new features and processes that optimize user experience. Requirements Minimum of 4 years experience in business analysis, product analysis, or a related field. At least 4+ years' experience in B2C analyzing large datasets centric role B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background. Strong SQL with experience in querying large complex data sets - must have. Strong statistical and mathematical background - Advantage Vast knowledge in A/B testing including statistical methods Hands-on experience using AI tools for analytics. Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical teams. Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) - Advantage.

We are looking for an outstanding and passionate Legal Counsel to join our legal team. This is a unique opportunity to work in an innovative and dynamic environment, handling a wide range of commercial agreements and regulatory matters while collaborating closely with various teams across the company. Responsibilities Draft, review, and negotiate a variety of commercial agreements (advertising, licensing, distribution, service agreements, SaaS and much more). Provide practical, business-oriented legal advice on a wide variety of legal matters. Monitor and provide guidance on applicable laws and regulations. Lead and support cross-functional legal and business projects that require a strategic legal perspective. Requirements 3+ years of experience in a commercial, technology, or international M&A department at a leading law firm or a high-tech company. Experience with drafting and negotiating international commercial agreements in the technology sector. English at a mother-tongue level. Excellent business orientation – ability to align legal advice with the company's strategic goals. High level of curiosity, problem-solving skills, and attention to detail. Ability to thrive in a fast-paced environment while managing multiple tasks efficiently. A strong team player with excellent communication skills and the ability to work effectively both independently and as part of a team.

We are looking for a highly talented individual to fill the role of Strategic Partnerships Manager - Demand side. Has to be a people person – a relationship wizard with analytical skills. The ideal candidate will be in charge of our partners' day-to-day growth and will need to show technical skills, creativity in finding solutions and people skills in obtaining all the internal information for the partners' needs. Also, the candidate will be representing the activity in summits and client-facing meetings that will require native English levels and presentation skills. Day-to-day work within a team, while collaborating with cross-teams as well. The Strategic Partnerships Manager should be a team player! Responsibilities Manage and grow strategic relationships with leading SSP, DSP, and programmatic ecosystem partners. Own day-to-day partner success by driving revenue growth, monetization performance, and optimization initiatives across accounts. Build trusted relationships with key stakeholders, including executives, commercial leads, technical teams, and decision-makers. Analyze performance trends and identify opportunities related to spend growth, traffic quality, fill rate, bid rate, CPM performance, and overall monetization efficiency. Proactively identify and execute growth opportunities through strategic optimization, upselling, cross-selling, and new product adoption. Serve as the main point of coordination between external partners and internal Product, Operations, Technical, and Business teams to ensure smooth execution and issue resolution. Investigate and troubleshoot operational and technical challenges, including discrepancies, delivery issues, trends, traffic quality concerns, and integration-related topics. Maintain a strong understanding of the company's products, technical capabilities, market positioning, and industry trends. Lead Quarterly Business Reviews (QBRs) with partners by delivering data-driven insights, strategic recommendations, and actionable growth plans. Requirements 3-5 years of Customer Success, Account Management, or Partner Management experience within the AdTech / Programmatic advertising industry Strong understanding of the programmatic ecosystem, including SSPs, DSPs, publishers, exchanges, identity solutions, and supply path optimization dynamics. Strong analytical and data-driven mindset with the ability to interpret large-scale performance data and translate insights into actionable recommendations. Experience analyzing monetization KPIs such as spend, CPM, fill rate, bid rate, discrepancies, traffic quality, and revenue performance. Excellent communication, presentation, and relationship-management skills with the ability to engage both commercial and technical stakeholders. Proven ability to manage strategic accounts and drive partner retention, growth, and long-term business relationships. Strong organizational and multitasking abilities with excellent project ownership and prioritization skills. Ability to work independently in a fast-paced environment while collaborating effectively across multiple internal teams. High level of English proficiency – written and verbal. Experience with CRM systems, AI tools, reporting platforms, Excel, and other analytical/business tools. Bachelor's degree in Business, Marketing, Economics, or a related field – advantage.

We are looking for a Professional Services Engineer to join our Professional Services team. This is a hands-on role for someone who can take ownership, work independently, solve complex problems, and collaborate with customers and teams across the company. Our team works across technical, operational, business, and customer-facing areas, so we are looking for someone versatile, responsible, and comfortable working in a dynamic environment. Responsibilities Own technical and operational issues end-to-end. Troubleshoot complex issues and identify root causes using logs, data, APIs, and system flows. Understand customer needs and provide practical solutions. Lead technical and business discussions with customers and internal stakeholders. Work closely with R&D, Product, Data, and Customer Success. Build tools, automations, and custom solutions when needed. Contribute to team knowledge, processes, and ongoing improvements. Participate in the team's on-call rotation and take ownership during incidents. Requirements 5+ years of Professional Services / Operations or equivalent experience - a MUST. Strong technical and troubleshooting skills. Strong SQL skills and experience working with data. Strong understanding of APIs, HTTP, web technologies, and Internet protocols. Ability to investigate complex issues independently. Strong ownership and accountability. Ability to manage multiple tasks and priorities. Strong communication skills and confidence working with customers. Strong written and verbal English. Advantages Programming or scripting experience. Experience with cloud platforms, monitoring tools, or distributed systems. Experience in AdTech, SaaS, or high-scale production environments. Experience in Professional Services, Solutions Engineering, Technical Support, or similar customer-facing technical roles. Previous on-call or production incident experience.

We're looking for a Business AI Solutions Engineer to join our newly established role at our professional services team at Rise. In this role, you'll identify opportunities, develop AI-powered solutions, and automate business processes across the organization. We're looking for someone who combines strong technical skills, creativity, and a problem-solving mindset, with the ability to turn ideas into working solutions. Responsibilities Identify opportunities to improve business processes using AI and automation. Design, develop, and deploy AI-powered tools, agents, and workflows. Build integrations between internal systems, APIs, and AI platforms. Collaborate with different departments to understand needs and deliver practical solutions. Own solutions end-to-end, from initial concept to deployment and optimization. Evaluate new AI technologies and drive their adoption across the organization. Requirements 2+ years of experience in automation, software development, technical solutions, or similar roles. Hands-on experience with AI tools, LLMs, and AI-assisted development. Experience with Python and/or JavaScript. Strong understanding of APIs, webhooks, and system integrations. Ability to independently design, build, and troubleshoot technical solutions. Strong analytical thinking, ownership, and problem-solving skills. Excellent communication skills in English. Advantages Experience with automation platforms such as n8n, Make, or Zapier. Experience building AI agents, RAG solutions, or LLM-based workflows. Familiarity with SQL, cloud services, and data platforms. Experience with Claude Code, Cursor, or similar AI development tools. Background in AdTech or SaaS environments.

At Rise, we operate at the intersection of extreme scale, real-time decisioning, and high-frequency data. As a cloud-native adtech company, our platform processes massive request volumes where every millisecond of latency and every fraction of a cent in cloud compute directly impacts our bottom line. Driven by rapid growth, we need engineers who love analyzing system bottlenecks to maximize efficiency—connecting the dots between technical innovation, system performance, and revenue growth. This is a core Back-End Engineering role. You will build high-performance, ultra-low-latency backend services that execute complex business logic, integrate with Data Science models, and serve billions of real-time requests. Our Engineering Mindset We move fast, automate aggressively, and relentlessly optimize everything we touch—from network I/O and query costs to workflow automation. We actively integrate AI tools and workflows directly into our daily SDLC to move faster, elevate code quality, automate routine overhead, and accelerate shipping cycles. Our developers operate with a full ownership mindset, communicating across multiple cross-functional stakeholders with a broad, business-oriented perspective. We thrive on a "can-do" culture and take pride in engineering elegant, cost-optimized solutions. Responsibilities Drive Business Impact Through Feature Delivery: Own full-lifecycle feature development from concept to deployment. Translate ambiguous business goals into clear technical execution plans, align with cross-functional stakeholders, and deliver features that directly drive revenue and operational efficiency. Engine for High Throughput: Design, build, and optimize low-latency backend microservices using Golang and Rust to handle heavy adtech workloads. Leverage AI Across the SDLC: Integrate AI-driven coding assistants and automated tooling into your everyday workflow—from code generation and automated testing to debugging, refactoring, and documentation—to maximize developer velocity. Relentlessly Optimize Infrastructure & Costs: Analyze system bottlenecks, conduct CPU/memory profiling, optimize resource utilization, and drive down our GCP compute and data transfer costs without sacrificing reliability. Bridge Backend & Data Science: Integrate production-ready Data Science models and complex ad-server business logic into fast, reliable execution paths. Manage Cloud-Native Architecture: Deploy, maintain, and scale microservices on GCP using Google Kubernetes Engine (GKE), Docker, and modern CI/CD pipelines. Automate Everything: Identify manual processes, operational overhead, or inefficient code paths across our stack and build automated solutions to eliminate them. Requirements 3+ years of hands-on experience in backend engineering, building high-concurrency, low-latency applications (strong proficiency in Golang and/or Rust required, or deep background in Java/C#). AI-Augmented Development Mindset: Experience leveraging modern AI developer tools (e.g., Claude Code, Cursor, LLM-driven testing or debugging tools) across the SDLC to ship high-quality code faster. High-Scale System Design & Profiling: Proven track record of designing microservices and optimizing applications for performance, throughput, and memory footprint in production using CPU/memory profiling tools. Modern Data Store Expertise: Hands-on experience with high-performance and analytical data stores such as Redis, Valkey, Aerospike, BigTable, and BigQuery. Cloud-Native Proficiency: Deep familiarity with GCP and container orchestration via Kubernetes (GKE) and Docker. Cost & Performance Mindset: You don't just write code that works; you care about how it runs, how much memory and CPU it consumes, and how much it costs to run at scale. Full End to End Ownership: Ability to manage initiatives independently, navigate loosely defined tasks, and communicate effectively with cross-functional teams to keep projects moving forward. Relentless Curiosity & Autonomy: A pragmatic, "can-do" problem solver who loves learning new tech and taking complete ownership of solutions. Advantages Experience with probabilistic data structures (e.g., Bloom filters, HyperLogLog). Familiarity with Lua scripting for in-memory databases. Experience with gRPC for high-performance microservice communication.

Rise is looking for a talented and motivated System Administrator to join our IT Team. We're looking for someone with extensive experience in IT support, strong problem-solving abilities, and excellent communication skills to collaborate effectively with teams across the company. This role requires the ability to diagnose and resolve technical issues efficiently while providing clear and patient support to users from various departments. The goal is to ensure that our technology infrastructure operates smoothly and efficiently, enabling the organization to function at its best. Responsibilities Manage and maintain ALL IT Infrastructures, Including Firewalls/Switches/Access Points/Servers/VMs IT Supports the company employees via a ticketing system or frontal support. Manage the Onboarding / Offboarding procedure from the IT side, take care of the company's live events and Meeting Rooms/Multimedia Equipment. Maintain and monitor IT Assets and equipment via the ITAM system. Requirements 2 years experience as an IT Specialist, Junior Sys Admin or similar role. Troubleshooting common macOS and Windows issues Experience with Okta (SSO), Google WorkSpace, Microsoft Office 365 Experience with Virtualization OS such as VMware or HyperV Basic knowledge of managing and configuring networking equipment such as firewalls, switches, and access points. (FortiGate experience is a plus). Experience with Atlassian Administration, Fresh Service, GCP, AWS, Iru, Intune, Synology, VPN, Linux, PowerShell Fast & self-learner, team player, organized and responsible, dynamic, and motivated.

We are looking for an outstanding and passionate Data Scientist with expertise in Machine Learning and AI to join our team. You will have the opportunity to research, design, implement, and evaluate a variety of advanced ML algorithms and AI models, while working with huge-scale, real-time data and taking projects end-to-end, from the business problem definition up to production. Responsibilities Apply cutting-edge solutions while leveraging our vast amounts of data, utilizing Machine Learning and AI techniques. Implement model usages from research to production, in a scalable and resilient architecture (and be part of creating and maintaining this architecture). Take projects end-to-end, from business questions and data exploration all the way to production. Collaborate with Data Scientists, Big Data Engineers, Product Managers, and Developers from across the organization to solve complex problems. Contribute to continuous learning and knowledge sharing within the Data Science group, to stay ahead of the curve in Machine Learning and AI advancements. Lead innovation initiatives and stay in tune with the latest technologies and algorithms. Requirements 3+ years of experience in Data Science / Machine Learning, or equivalent hands-on experience. Strong SQL knowledge. Solid programming skills - Python. Solid understanding of Machine Learning, statistics, and probability. Experience solving complex business problems using state-of-the-art Machine Learning and AI algorithms. Experience building and deploying ML models in production environment. Experience working with large-scale data - big data. Understanding of data pipelines, APIs, and cloud infrastructure. Good understanding of probability and statistics. Familiarity with ML frameworks and platforms such as Databricks, SageMaker, or Vertex AI. Ability to independently solve complex problems and make architectural decisions. Ability to mentor others, work in teams, and teach peers, and learn from them. Ability to handle several tasks simultaneously. Independent, out-of-the-box thinker. Advantage: Experience in AdTech, particularly programmatic advertising, bidding, targeting, or user-level modeling. Advantage: Experience with real-time ML systems, deep learning, LLMs, or reinforcement learning.