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Location: Bulgaria, Hungary, Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design and implement end-to-end document intelligence pipelines on AWS Develop and optimize ML models for document classification, segmentation, and field extraction Build scalable data processing systems handling PDFs up to 2000 pages Collaborate with subject matter experts to create and refine requirements for extraction Own features from research through production deployment and monitoring Establish evaluation frameworks and quality metrics for extraction accuracy What You Bring Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic) Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions) Advanced knowledge of SQL and Data Modeling Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs Experience in experiment design (power analysis and hypothesis testing) Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions Experience owning a feature from concept to production, including proposal, discussion, and execution Nice to have Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems) Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow) Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks) Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.) English Level Upper-intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: London Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE Almost any company can produce training video at scale today. Almost none can tell you whether it actually made someone better at their job. We're building the product that closes that gap: an agentic, real-time experience where people practice live, dynamic scenarios, and where organizations finally get genuine signal on readiness, instead of a metric tied to course completion. This is a zero-to-one bet on what comes after content, which is practice, and proof. You'll own one of two of the domains inside that bet, Surveys and Guidance, from strategy through ship. WHY NOW Real-time, agentic AI has only just become good enough to hold a convincing live scenario, and to make sense of what happens inside one. The window to define this category is open now, and we intend to own it. THE PROBLEM YOU'RE SOLVING Today, the most a company can do to check whether someone has genuinely learned something is watch them complete a module or pass a quiz. The behaviors that matter in real roles, in real moments, are rarely tested reliably, and what comes back to the business is a thin, lagging signal. We have the underlying technology to change that. What we need is a product manager who can turn it into something an enterprise will use to prepare its people, and that an end user actually wants to engage with, across two connected domains: - Surveys - capturing structured, trustworthy signal at scale: how people feel, how they're performing, and where the gaps are. - Guidance - giving people direction in the moment they need it, live and in context, rather than as a debrief after the fact. Both sit inside the same bet: give organizations proof of readiness, not just proof of attendance. WHAT YOU'LL BE DOING - Owning the multi-quarter strategy for Surveys and Guidance, setting the direction, identifying the right problems to solve, and making the trade-offs needed to deliver against them. - Defining and evolving the success metrics for both domains, and connecting product outcomes directly to commercial results: retention, expansion, and revenue impact. - Getting close to the customers who matter most: understanding how they think, where current tools leave them exposed, and translating that into a product direction others can act on. - Driving a shared understanding of where these product areas are going and why. Engineering, design, R&D, and commercial counterparts should all be able to articulate the strategy and the reasoning behind it. - Producing written narratives, strategy docs, and PRDs, that move decisions forward and give your team the context to build the right thing without a follow-up conversation. - Balancing short-term delivery with long-term product health: scoping to reflect execution risk, hitting milestones predictably, and iterating based on evidence rather than opinion. - Contributing to improvements in product practice across the team, and actively participating in PM hiring. WHO YOU ARE You've owned a critical product domain before, one where the stakes were real and the strategy was yours to set, not just execute. You're comfortable operating with autonomy on the what, not just the how, and you have a track record of connecting product decisions to commercial outcomes. You understand that zero-to-one products in complex domains require you to hold two things at once: the discipline to deliver predictably in the short term, and the judgment to make the right long-term bets while the evidence is still forming. You don't wait for a clean brief. You identify the right problems, form a view, and bring others along. You're a strong written communicator. Engineering and design partners, commercial leads, and senior leadership should all come away from your docs and updates with a clear understanding of where the domain is going and why, without needing to ask. You care about the quality of the experience. Real-time, agentic products are unforgiving, and you hold a high bar for what "good" feels like, for the user in the moment and for the customer looking at outcomes. YOU MAY BE A GOOD FIT IF YOU BRING - Significant experience in product management, with direct experience owning a critical product domain: setting strategy, not just executing it. - A track record of connecting product outcomes to commercial results: ARR, retention, expansion, or equivalent. - Experience with zero-to-one product development in a complex, experience-driven space. You've navigated the ambiguity of a zero-to-one build and have the scar tissue to show for it. - Experience building agentic or AI-powered products. You understand what makes real-time AI interactions feel natural, and what breaks them. - Strong written communication: strategy docs, PRDs, and decision memos that others can act on without a follow-up conversation. - Experience working alongside enterprise buying motions. You'll be close to the commercial team, and that context matters. We encourage you to apply even if you don't meet every point above. Strong candidates rarely match a list exactly, and we'd rather hear from you. LOCATION Flexible, hybrid role based from our London office. OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21   GLOBAL BENEFITS: - You will be compensated well with a generous salary and equity. - You get 25 days of annual leave + local holidays. - Regular team offsites where you’ll get to collaborate with the product & engineering team in person. - Work from home budget - Work from anywhere policy of 60 days per year - Generous referral scheme - Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country’s government scheme offers more generous support, you receive whichever is greater - our enhanced policy or the local statutory benefit)   BENEFITS SPECIFIC TO UK: - Private healthcare via AXA for you with a discount for dependants - 5% pension match - Team lunches Tuesday-Friday in the office - Flexible, hybrid role based from our London office.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Lisbon, Portugal or London, the UK What You’ll Do The Customer Experience Manager leads the post-sale customer journey, managing everything from onboarding to long-term retention and contract renewals. Acting as both a trusted business advisor and a commercial owner of the account, you will build strategic relationships with stakeholders to clearly articulate ROI and business value and ultimately successfully close renewals maximizing upsells and minimizing churn. You will collaborate tightly with the Sales team to maintain accurate weekly forecasts and contribute to  critical engagements like Executive Business Reviews. In addition, you will embed AI-driven optimization into your daily workflows—using advanced data analysis to uncover selling opportunities and automating routine tasks to accelerate customer outcomes and maximize operational efficiency. Key Responsibilities Customer Lifecycle & Success Manage customer engagement across the entire customer lifecycle, from onboarding through renewal. Be a Trusted Advisor to your customers by helping them adopt the Cloudflare products and services to meet their needs and make them successful Work with your account teams to plan and execute long term Success Plans with our largest customers to facilitate retention and growth via product and new business unit expansion. Maintain a deep understanding of our solutions and present to customers about the most relevant features/functionality for their specific business needs. Own or be an active participant in several customer touch points including: Business Value Justification meetings, Business Reviews, and Renewal Meetings, with a track record of successful planning and execution of Executive Business Reviews. Demonstrate how your customer engagement directly impacts revenue growth and adoption of Cloudflare solutions and services. Commercial & Renewals You are ultimately responsible for the retention and growth of your book of business. You will own and drive the renewal including maintaining and reporting an accurate weekly forecast. Negotiate and execute renewal contracts in accordance with customer objectives. You will be an expert in deal construction and pricing strategy. You will directly be designing renewals to create a win-win for customers and Cloudflare. Analyze data and leverage tools to identify selling opportunities and business value. Drive strong alignment with the Sales team, contributing to team forecasting, planning, and targets. Cross-Functional & Operational Management Develop and maintain long-term relationships with stakeholders in your account portfolio. Work cross-functionally with Product, Engineering, Support,Marketing and other teams to resolve customer business issues and work towards each customer’s stated goals. Manage customer feedback and product needs by providing feature requests to internal partner teams. Able to prioritize effectively to handle multiple deals at the same time. AI Competencies Generative AI: Mastery of LLMs to rapidly draft renewal communications, synthesize quarterly review data, and prepare executive summaries. Data Analysis: Proficiency in leveraging AI analytics tools to parse customer usage metrics and instantly highlight up-sell or cross-sell opportunities. Workflow Automation: Ability to build automations to synchronize CRM data, update weekly forecasts, and trigger lifecycle alerts. AI Problem Solving: The instinct to view AI as a partner in solving tough problems to keep the Internet moving forward. Qualifications Minimum of 3 years of experience in a Customer Success/Account Management role or Inside or Field sales. Fluency in Hebrew 2+ years of industry experience, with experience in cloud security and/or performance industries preferred. Bachelor's degree and/or other professional qualifications. Direct experience in commercial sales, negotiation, and deal closure. Strong understanding of or willingness to learn about computer networking and “how the internet works,” with network security a plus. Manage and prioritize competing portfolio demands, aligning internal resources with the highest-impact commercial and retention goals Expertise in SaaS retention and sales process and excellent knowledge of value driven sales. Excellent problem solving skills with the ability to creatively achieve resolutions. Compensation ● For Portugal based hires: Estimated annual salary is between €50,000 - €69,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote - India AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We design and deliver AI systems that governments and large education programmes can actually run: curriculum-aligned item generation, paper assembly, handwriting OCR, rubric grading, and teacher-in-the-loop review. The work is already live as practice assessment in India and is being built as a national exam platform in Rwanda, with further country programmes behind it. We are hiring a Solution Architect who sits between discovery and delivery. You will turn messy workshop notes and ministry requirements into architecture a team can build, secure, cost, and operate — RAG and multi-agent systems, LLM-as-judge pipelines, and the cloud/LLMOps layer underneath. You will Own solution design from first workshop to a delivery-ready blueprint (services, data stores, trust boundaries, cost, ops). Architect LLM pipelines: generation, retrieval over curriculum knowledge graphs, standards/duplication/quality judges, constraint-based paper assembly. Design human + AI workflows with audit, segregation of duties, cycle-pinned config, and no student PII in model calls. Choose and govern models, prompts, eval gates, and fallbacks (including OCR: Azure primary, secondary fallback). Shape the Azure/AWS platform: identity, networking, LLMOps/MLOps, observability, and sovereign-hosting constraints. Run client workshops, write POVs and architecture packs, and stay accountable until the system is in production. About the work Pratham International programmes sit at the intersection of pedagogy, public systems, and production AI. The pattern is consistent across countries; the constraints change. Anytime Testing Machine (ATM) — India, practice and feedback End-to-end assessment for real classroom conditions: generate curriculum-aligned items, digitise handwritten answers (often photographed on a phone), grade against rubrics, and return feedback a teacher reviews before it reaches the learner. Built for high pupil–teacher ratios, mixed language (e.g. Hindi + English), and uneven connectivity. Pilots have already reached thousands of learners, including Second Chance (women returning for Grade 10). Model quality is measured against expert golden sets, not vendor slides. National assessment automation A government-grade exam platform. Phase 1 is item authoring and print-ready paper composition before the exam window. Phase 2 is script intake, OCR at national volume, AI-assisted grading with human confirmation on the pilot, results export, and monitoring/evaluation reporting. Subjects span core and elective streams across the curriculum. Design rules that do not exist in a typical SaaS product: cycle-pinned configuration, embargoed papers, hash-chained audit trails, and integration with national student information and assessment management systems. Curriculum knowledge graphs Structured retrieval corpora (concepts + worked examples) that ground generation and judging. This is the standing public-knowledge exception in an otherwise closed exam system, and the seed of a broader education DPI conversation. AI in TaRL and teacher support AI tools that help teachers group and teach by learning level, with an RCT-shaped evidence bar. Same product family: human agency stays in the loop; the model is a capacity multiplier. Country programmes and the three-year direction Adapt the same engine to new ministries, languages, and exam rules (Kenya and other Global South programmes are in scope). The longer bet is a learning and credentialing engine that recognises competence beyond a single syllabus. This is not a chatbot brief. It is constrained generation, retrieval, judging, document AI, workflow, and public-sector operations. Why this role exists Most enterprise AI dies between the workshop and production. We need one person who owns that gap: someone who can sit with NESA, C4IR, Pratham pedagogy, and engineering in the same week, and leave behind a blueprint the delivery team can execute without inventing policy. The target profile is a practising AI/ML Solution Architect — not a pre-sales slide owner, and not an infra-only platform engineer. The person should have done all three of these: Designed GenAI / NLP solutions, PoCs, and client workshops, and can talk to research-grade issues (eval, agent safety, prompt-injection, model-specific behaviour). Owned the AI platform: LLMOps, MLOps, DevSecOps, SRE habits, cloud migration, and FinOps. Taken messy discovery and turned it into Azure-centred RAG and multi-agent designs that a security team will accept. Key Responsibilities Discovery → architecture Lead solution workshops with programme, ministry, and engineering stakeholders. Convert half-formed requirements into service cuts, data stores, sequence diagrams, decision gates, and open-question lists with owners. Write architecture decision records. When the docs disagree (they will), force a decision instead of coding both. AI system design Design LLM jobs as contracts: inputs, JSON schema, temperature, persist prompt hash / model / tokens / latency. Architect generation grounded in structured curriculum blueprints and knowledge-graph retrieval, not "ask the model for a maths paper." Design LLM-as-judge banks (cognitive-level, relevance, difficulty, language, fairness, standards, duplication, blueprint compliance) with thresholds, one-repair rules, and golden-dataset release gates. Design hybrid assembly: constraint solver first, model only on ties and layout exceptions. Design document AI: primary OCR provider, secondary fallback provider, confidence routing, de-identification before any grading call. Specify eval: inter-rater agreement, rubric-band exact match, first-pass item acceptance, cost per paper cycle. Platform, trust, cost Own the reference architecture on the chosen cloud platform(s): identity, RBAC + segregation of duties, private networking, key management, object storage for scans, vector index, data warehouse for monitoring/evaluation reporting. Draw trust boundaries. Student PII never crosses the model gateway. Prompts are curriculum + knowledge-graph + blueprint content only. Put FinOps on the design: token budgets, OCR cost caps, degradation behaviour when a cap is hit, model routing. Specify LLMOps/MLOps: prompt/version registry, eval regression as a release gate, observability, rollback. Design for sovereign hosting and exam-cycle operations (embargo, watermarking, append-only audit, cycle-pinned configuration). Delivery and thought leadership Stay with the build through the first production cycle. Architecture that cannot be implemented is unfinished work. Produce POVs, sequence packs, and workshop artefacts that can be reused in the next country. Mentor tech leads on where the model should stop and the workflow should start. Success in the first two quarters First 30 days — Orient Complete architecture walkthroughs of every live/in-flight system with the current engineering leads; document current state (services, data stores, trust boundaries) as-is, not as-designed Meet every active stakeholder group once: engineering, programme/domain leads, and any external partner or government-side counterpart Inventory all open technical decisions and disagreements in existing specs; log each with current owner (if any) and status Identify the single highest-risk unresolved design question and flag it upward Day 60 — Diagnose Produce a current-state architecture diagram covering every major pipeline: data flow, model/LLM touchpoints, storage, and identity/access boundaries Assign an owner and target resolution date to every open contradiction identified in month 1 Draft a v1 reference architecture for one representative end-to-end workflow: service breakdown, data stores, identity/access model, model gateway placement, and a first-pass cost estimate Day 90 — Commit v1 reference architecture is reviewed and accepted by engineering and relevant stakeholders (not just self-signed) Can walk any core pipeline end-to-end from memory and name every data store, every quality/eval gate, and every trust boundary in it At least one architecture decision record is published for a previously-contested design question, with the decision forced rather than left open A first cost model exists for the reference architecture, with at least one identified lever for reducing spend if usage scales Day 120 — Harden Core pipeline components (generation, retrieval, judging/eval, or equivalent stages for this domain) have documented contracts: defined inputs/outputs, schema, and logged metadata (model, version, cost, latency) An evaluation harness exists for at least one component, with a defined pass/fail threshold A release gate exists that can block a bad prompt, model, or config change from reaching production Day 150 — Extend The next major system phase or capability is specified to the same rigor as the first: trust boundaries, failure modes, fallback behavior, and cost caps documented before build starts FinOps guardrails are in place for at least one production workload: budget ceilings, degradation behavior when a cap is hit, and a routing or fallback strategy Day 180 — Generalize A reusable design pattern or adaptation pack exists, separating what is fixed in the architecture from what varies by deployment context (e.g. language, hosting environment, external-system integration, content/domain rules) At least one engineering or technical lead has been mentored on where model-based logic should stop and deterministic/workflow logic should take over A second production-readiness review (security, cost, or operations) has been passed on a system this person designed or substantially redesigned Qualifications and Experience Must have 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership. Shipped at least one production AI/ML system — RAG, multi-agent, LLM-as-judge, or a comparable classical ML/NLP pipeline at scale — that passed a real security, cost, and operations review, not just a pilot or a slide deck. Can produce a delivery-ready architecture blueprint: services, data stores, IAM, failure modes, evaluation strategy, and cost model — detailed enough that engineering isn't guessing at intent. Deep cloud experience on Azure and/or AWS: comfortable defending a landing-zone design, private-endpoint architecture, and a real monthly compute/inference/OCR spend. Fluent in Python, with hands-on experience in both classical ML (model training, evaluation, feature pipelines) and how LLM APIs, embeddings, and vector search actually behave under production load. Comfortable running a room with non-engineers — domain specialists, IT stakeholders, monitoring/evaluation teams — and translating fluently in both directions. Strong written English; this role's output is documentation that functions as a binding technical contract. Strongly preferred Azure AI (AI Foundry / OpenAI / Document Intelligence), plus one of AWS (Bedrock, SageMaker) or GCP (Vertex, BigQuery). LLMOps / MLOps: prompt + model versioning, MLflow or equivalent, eval harnesses, CI that can block a bad prompt. Document AI / OCR at volume; handwriting and low-quality scans, not only clean PDFs. RAG over structured knowledge (graphs, ToS, textbooks) and hybrid search, not only naive chunking. Education, assessment, public sector, or other high-audit domains (health, finance, identity). Certifications: Azure Data Scientist / Azure Solutions Architect; AWS SAA, ML Specialty, or Data Analytics Specialty. Experience with agent security: tool-use limits, DLP on egress, prompt-injection evaluation that is model-specific. FinOps discipline. You have killed a design because it would not survive the token bill. Nice to have Microsoft Fabric, Databricks, Semantic Kernel / Microsoft Agent Framework, MCP (Model Context Protocol) tool integration for agentic workflows. Constraint solvers or exam-blueprint / item-bank systems for automated test assembly. Multilingual generation and feedback, including code-mixed language pairs (e.g. Hindi–English, Spanish–English, or similar). Experience standing up golden/eval datasets with subject-matter experts. Prior work with government data systems, data-sharing agreements, or in-country/sovereign hosting requirements. What this role is not Not a research-only post. Publications help; shipping is the job. Not a pure platform/SRE hire. Infra is part of the design, not the whole design. Not a prompt engineer who hands off “the architecture” to someone else. Not a people manager of a large team on day one — you influence through artefacts and reviews. How we will assess you We value transparency and respect your time. Our hiring process is designed to evaluate both hands-on technical depth and architectural judgment through practical, real-world tasks. Stage 1: Application & Knockout Screening Submit your CV alongside key screening responses Artefact — send two of: architecture note, eval design, runbook, ADR. Slides without decisions do not count. Stage 2: Initial Conversation (30 mins) An introductory screen covering your background, project context and baseline alignment. An opportunity for you to ask questions about our technical roadmap, partner ecosystem, and vision. Stage 3: Practical Take-Home Written Assessment (2–3 hours) Design exercise on a constrained generation + judge + human-review pipeline (we will use a sanitised exam-authoring brief). We want trust boundaries, eval, and cost, not a model-name dump. Stage 4: Deep-Dive Technical & System Architecture Walkthrough Walkthrough of a system you shipped: what failed in review, what you changed, what it costs to run. Stage 5: Final Stakeholder & Vision Alignment Final conversation with key technical leadership and program stakeholders. Employment Details Function: Solutions / Architecture Reports to: Head of Technology / CTO Expected Start Date: Immediate Location: India (remote-first; travel to client workshops as needed) Experience: 8–13 years (strong 6–8 considered if you have shipped production GenAI) Engagement: Full-time Remuneration: Based on candidate’s experience and skillset Flexibility to work across timezones: Our team spans Latin America to Southeast Asia. Early mornings  or late evenings can be a regular part of the rhythm Why join us? Impact at Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy Innovation at the intersection of Education and Technology: Lead the charge in redefining learning and learning processes through technology. You will contribute to the design and development of cutting-edge learning tools and AI-driven initiatives, ensuring EdTech isn’t just a buzzword, but a scalable solution for global equity. A Culture of Growth and Evidence: At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team: You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of “Every Child in School and Learning Well.” Inclusive and Collaborative Environment: Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Pratham International is an equal opportunity employer and encourages all qualified people from diverse backgrounds to apply for positions within our organisation, regardless of race, gender, disability or any other status.

Location: Austin, Texas, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily by Nebius is looking for a Commercial Legal Counsel with experience in technology transactions and privacy to join our Legal team. You’ll take ownership of commercial agreements that support Tavily’s global business, partner closely with our Go-to-Market teams, and help ensure compliance with applicable privacy and data protection requirements. You’ll also help shape the legal templates, processes, and guidance that support our continued growth. This is an opportunity to combine hands-on deal ownership with broader work across technology, AI, privacy, and international transactions. What you’ll do Lead commercial negotiations. Draft, review, and negotiate customer, SaaS, reseller, service level, vendor, and partnership agreements. Partner with Go-to-Market teams. Help move customer deals forward by offering clear advice that balances business goals and legal risk. Support privacy and data protection. Negotiate data processing agreements (DPAs) and help strengthen Tavily’s privacy program across relevant markets. Manage complex transactions. Coordinate cross-border negotiations involving multiple internal and external stakeholders. Make legal guidance practical. Translate commercial, privacy, and intellectual property considerations into actionable recommendations. Build for scale. Improve contract templates, negotiation playbooks, and legal workflows to make recurring work more efficient and consistent. What you’ll bring A J.D., LL.B., or equivalent law degree and admission to practice in the United States, an EU member state, or Israel. 4+ years of relevant legal experience at a law firm, a technology company, or a combination of both. Experience independently drafting and negotiating technology and commercial agreements, including complex enterprise customer contracts. Practical experience with DPAs and privacy requirements such as GDPR and California and other U.S. state privacy laws. Working knowledge of intellectual property and copyright issues relevant to technology agreements. Sound commercial judgment, careful drafting, and the ability to explain legal issues clearly to business partners. The ability to prioritize competing deadlines and manage negotiations with multiple stakeholders. Helpful, but not required Experience supporting a SaaS or AI business. A combination of law firm and in-house experience. Familiarity with AI regulation. Experience negotiating data purchasing or licensing agreements. Experience building legal processes in a growing technology company. Why join Tavily: Meaningful ownership: Lead negotiations that directly support the business. Close business partnership: Work alongside commercial teams on customer and partner relationships. An opportunity to build: Help shape the legal tools and processes the company uses as it grows. Exposure to evolving issues: Work at the intersection of technology, AI, privacy, and commercial law. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation: In addition to base salary, this role includes bonus and equity. ##LI-CS1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $206,400 — $258,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily by Nebius is looking for a Commercial Legal Counsel with experience in technology transactions and privacy to join our Legal team. You’ll take ownership of commercial agreements that support Tavily’s global business, partner closely with our Go-to-Market teams, and help ensure compliance with applicable privacy and data protection requirements. You’ll also help shape the legal templates, processes, and guidance that support our continued growth. This is an opportunity to combine hands-on deal ownership with broader work across technology, AI, privacy, and international transactions. What you’ll do Lead commercial negotiations. Draft, review, and negotiate customer, SaaS, reseller, service level, vendor, and partnership agreements. Partner with Go-to-Market teams. Help move customer deals forward by offering clear advice that balances business goals and legal risk. Support privacy and data protection. Negotiate data processing agreements (DPAs) and help strengthen Tavily’s privacy program across relevant markets. Manage complex transactions. Coordinate cross-border negotiations involving multiple internal and external stakeholders. Make legal guidance practical. Translate commercial, privacy, and intellectual property considerations into actionable recommendations. Build for scale. Improve contract templates, negotiation playbooks, and legal workflows to make recurring work more efficient and consistent. What you’ll bring A J.D., LL.B., or equivalent law degree and admission to practice in the United States, an EU member state, or Israel. 4+ years of relevant legal experience at a law firm, a technology company, or a combination of both. Experience independently drafting and negotiating technology and commercial agreements, including complex enterprise customer contracts. Practical experience with DPAs and privacy requirements such as GDPR and California and other U.S. state privacy laws. Working knowledge of intellectual property and copyright issues relevant to technology agreements. Sound commercial judgment, careful drafting, and the ability to explain legal issues clearly to business partners. The ability to prioritize competing deadlines and manage negotiations with multiple stakeholders. Helpful, but not required Experience supporting a SaaS or AI business. A combination of law firm and in-house experience. Familiarity with AI regulation. Experience negotiating data purchasing or licensing agreements. Experience building legal processes in a growing technology company. Why join Tavily: Meaningful ownership: Lead negotiations that directly support the business. Close business partnership: Work alongside commercial teams on customer and partner relationships. An opportunity to build: Help shape the legal tools and processes the company uses as it grows. Exposure to evolving issues: Work at the intersection of technology, AI, privacy, and commercial law. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation: In addition to base salary, this role includes bonus and equity. ##LI-CS1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $206,400 — $258,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote Europe Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Remote Europe Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Tblisi Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Minsk Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Minsk Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Limassol Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Berlin Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Tblisi Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Limassol Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Berlin Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: London Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Daily Free Lunch: when in the office you get £12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.

Location: London Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Daily Free Lunch: when in the office you get £12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.