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Location: Mumbai, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments Position AI strategically within the context of Digital India initiatives and financial sector modernization programs Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises Established relationships with senior executives across banks, NBFCs, insurers, or fintechs Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing Technical acumen to engage credibly with CTOs, architects, and data science teams Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications Experience selling directly into large Indian banks, insurers, or financial conglomerates Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations Track record of first-in-market roles or launching new products in India Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption Experience navigating public sector bank and PSU sales processes is a plus Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Eurasian Bank — крупный универсальный коммерческий банк Казахстана, входящий в топ-10 финансовых институтов страны по размеру активов.

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: 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.

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: Belka Games Belka Games is a game development company. According to Sensor Tower, the company is among the top 30 highest-grossing game developers in Europe, and its audience has recently surpassed 110 million players. Role Overview We are currently seeking a skilled Lead QA Engineer with a background in game development . We'd like to see a specialist who can confidently maintain our course of continuous improvement of our product's quality and keep up with our busy schedule and active rhythm of development. Key Responsibilities Directly participating in product testing Defining and controlling task/project testing quality indicators Developing testing rules and maintaining high standards Managing the QA team (Manual & Automation) Distributing test tasks among team members and controlling their implementation Record-keeping for the QA department (including test cases and checklists) Preparing the product for release Leading the project - constant readiness to provide a full and clear report on the status of the project, plus risk analysis Participating in the estimation and planning of tasks for the latest release version Required Skills, Knowledge and Expertise 3+ years in a similar QA role in mobile game development Strong understanding of the mobile game development lifecycle Experience leading QA teams of 10+ people Strong planning, organization, and team management skills Experience with QA KPIs, team development, test documentation, and testing strategy Experience collaborating with automation teams Experience with A/B testing and monetization Knowledge of SQL and experience working with relational databases Experience with Git and CI/CD Experience with API and network debugging tools such as Swagger/OpenAPI, Charles, and Fiddler Strong practical use of AI in testing, with the ability to integrate AI-driven solutions into QA workflows and pipelines English and Russian spoken and written at B2 level and above Would Be a Plus : Ability to read XML and JSON Knowledge of MongoDB (queries must be written often) Experience analyzing testing effectiveness Ability to localize problems based on statistical data Experience developing work processes with test management systems (TestRail) Experience with Android debug bridge, iMobileDevice Working at Tripledot Hybrid Working 20 business days paid holiday in addition to bank holidays to relax and refresh throughout the year 20 business 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 Lunch: Provided daily in the office to keep you fueled and focused Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover: Ensure your health is in good hands through private health insurance Sport Compensation: Stay fit and active with our sport compensation benefit Taxi to compensate for travel to the office English Classes: Enhance your English skills with our provided English classes

Location: Barcelona 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. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life & Critical Illness Cover: Protect your future with our life and critical illness cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Employee Assistance Program: Access confidential support anytime through our Employee Assistance Program. Sport Compensation: Stay fit and active with our sport compensation benefit. Meal and Transport Vouchers: Save on meals and transport with our convenient vouchers. English & Spanish Classes: Enhance your English and Spanish skills with our provided language classes. Continuous Professional Development: Propel your career with continuous opportunities for professional development.

Location: Warsaw 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 26 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. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Private Medical Cover with Luxmed: Have peace of mind with private medical cover, ensuring your and your family's health is in good hands. Daily Free Lunch: When working in the office order free food from Pyszne.pl Multisport Plus Card: Enjoy access to various sports facilities across Warsaw with the Multisport Plus Card. 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] Continuous Professional Development: Propel your career with continuous opportunities for professional development. English & Polish Classes: Improve your language skills with access to English and Polish classes. This organization operates in compliance with the Whistleblower Act, for more information or to report violations please email whistleblowerpoland@tripledotstudios.com

Location: Barcelona 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. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life & Critical Illness Cover: Protect your future with our life and critical illness cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Employee Assistance Program: Access confidential support anytime through our Employee Assistance Program. Sport Compensation: Stay fit and active with our sport compensation benefit. Meal and Transport Vouchers: Save on meals and transport with our convenient vouchers. English & Spanish Classes: Enhance your English and Spanish skills with our provided language classes. Continuous Professional Development: Propel your career with continuous opportunities for professional development.

Location: Warsaw 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 26 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. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Private Medical Cover with Luxmed: Have peace of mind with private medical cover, ensuring your and your family's health is in good hands. Daily Free Lunch: When working in the office order free food from Pyszne.pl Multisport Plus Card: Enjoy access to various sports facilities across Warsaw with the Multisport Plus Card. 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] Continuous Professional Development: Propel your career with continuous opportunities for professional development. English & Polish Classes: Improve your language skills with access to English and Polish classes. This organization operates in compliance with the Whistleblower Act, for more information or to report violations please email whistleblowerpoland@tripledotstudios.com

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... Join us to build Duolingo Ads, Duolingo’s premium programmatic business. Most learners use our free, ad‑supported app—so great ads are core to our mission. Reporting into the Head of Ad Sales, the Ad Sales Lead, Programmatic will build a deal‑led book of business with agency holding companies, independent agencies, and advertisers who want access to Duolingo’s native formats, first‑party learner signals, and one of the most engaged mobile audiences in the world. You will own buy‑side relationships across holdco investment and programmatic teams, trading desks, curation and principal media groups, and premium programmatic buyers. This is a high‑ownership, high‑visibility, early‑stage opportunity to help define how programmatic can fuel high‑quality ads for millions of learners while driving outcomes for partners. 🧠  You will... Own a programmatic revenue target and forecast, and build a predictable pipeline across agency holding‑company programmatic and investment teams, trading desks, independent agencies, and premium programmatic buyers. Lead our shift from open auction to premium, deal‑led PMP/PG by packaging Duolingo’s native formats and first‑party learner signals into always‑on and custom deals that buyers will pay a premium for, and negotiate annual and upfront commitments that make that revenue durable. Become the person holdco programmatic teams call about mobile app inventory: run joint business planning; get Duolingo onto preferred supply paths, curated marketplaces, and principal/outcome‑based buys; and defend our position when buyers consolidate Build the programmatic value proposition and measurement story through proposals, pricing narratives, and post‑campaign proof that connect our native formats and audience data to brand and performance outcomes (e.g., verification, attention, brand lift, incrementality, MMM). Partner with Ad Platform Operations and Ad Ops on deal setup, targeting, floors, pacing, and troubleshooting—ensuring what you sell is deliverable and delivers against expectations. Work alongside our direct sellers under clear rules of engagement so programmatic expands the account through incremental value; coordinate with Account Management pre‑ and post‑sale to drive renewal and expansion. Feed structured market intelligence back to sales, product, and engineering leadership about what buyers need in pricing, packaging, audience segments, formats, and integrations, balancing this input with our learner‑first standards and operational quality. Establish the operating rhythm for a scaling programmatic business via account planning, outreach cadences, deal hygiene in CRM, pipeline rigor, and repeatable playbooks the next sellers can run. ✅  You have... 8+ years in digital advertising, including at least 4 years selling programmatic on the sell side (publisher/platform/app) or in a holding‑company programmatic/investment role, carrying and hitting a quota; demonstrated PMP/PG selling and trading‑desk engagement. A demonstrated book of PMP and PG business you personally sourced, negotiated, and grew. Experience selling premium mobile or consumer app inventory—especially video and native/custom formats—through programmatic channels to top‑tier advertisers and agencies. Strong understanding of ad tech and mobile app ecosystems, including DSP/SSP workflows, deal IDs, verification/measurement, and using data to inform pricing and packaging. Excellent communication and presentation skills; clear, concise storytelling for both technical and non‑technical audiences. ⭐  Exceptional candidates will have... Deep, current relationships with programmatic leads at major agency holding companies and larger independents. Experience moving partners from a heavy open‑auction mix to meaningful always‑on/custom PMP/PG alongside direct sales—and knowing what actually moved the deal (packaging, pricing, supply path, or sales motion). Sold against first‑party audience segments or custom data products, not just inventory. Hands‑on partnership with Ad Ops on deal setup, SSP onboarding, and campaign QA to improve fill, CPMs, and delivery quality. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $152,000 — $228,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Pay $20 per hour Key Responsibilities: Manage the movement of product through the production area Ensure that standard operating procedures and engineering procedures are followed and that all work is done in compliance to ensure maximum quality Assist in leading and developing a high performance team Assist in efforts to increase employee satisfaction and strengthen employee culture Provide effective guidance to achieve the required quality and production goals Ensure that product is in the process at all times. Plan and organize work for efficient operations. Achievement of daily, monthly and annual team targets Promotes a safe working environment and monitors compliance activities to support the safety program Education and Experience: High School diploma or equivalency. Manufacturing experience required 1+ year line lead experiences required Knowledge and skills (general and technical): Ability to meet deadlines and be accountable for quality/quantity Excellent interpersonal and communication skills • Able to work a flexible schedule, including weekday and weekend overtime Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications Experience leading Customer Success across APAC Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages Experience standing up a CS function in a new APAC market from the ground up Background in API products, developer platforms or consumption-based business models Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery Track record of influencing global product roadmaps through structured customer feedback from APAC markets Passion for responsible AI development and deployment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Бухгалтерия учетini yuritish — Kirim-chiqim hujjatlarini rasmiylashtirish va nazorat qilish — Mijozlar va yetkazib beruvchilar bilan hisob-kitoblarni yuritish — Debitor va kreditor qarzdorliklarni nazorat qilish — Bank va kassa operatsiyalarini hisobga olish — Birlamchi buxgalteriya hujjatlarini tekshirish — Moliyaviy hisobotlarni tayyorlashda qatnashish — Ombor va sotuv bo‘limlari bilan hisob-kitoblarni muvofiqlashtirish — Inventarizatsiyada qatnashish Требования: — Buxgalteriya sohasida amaliy tajribaga ega bo‘lish — Buxgalteriya hisobi va hujjatlar bilan ishlashni yaxshi bilish — Excel dasturida ishonchli ishlay olish — Hisob-kitob va raqamlar bilan ishlashda e’tiborli bo‘lish — Birlamchi hujjatlar va to‘lovlarni yurita olish — Mas’uliyatli, tartibli va halol bo‘lish — Belgilangan muddatlarga rioya qila olish Условия: — Maosh: 6,000,000 so‘mdan boshlanadi, suhbat asosida kelishiladi — Manzil: Toshkent shahri, Chilonzor tumani

Location: Amsterdam BUILD WITH US Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. YOUR IMPACT We're looking for a Senior Internal Auditor who is as sharp as they are bold. Someone who doesn't just run audits, but challenges how audits get done, helping us safeguard Mollie's assets and keep our operations sound as we scale. As Mollie continues to grow, including our ambitions in the payments and banking space, this function plays a direct role in maintaining the standards of control, compliance, and risk management a fast moving fintech needs. You'll join a small team of auditors who chose depth over breadth: fewer topics, deeper dives, real impact. As a senior member, you'll take full ownership of audits from start to finish, bringing a fresh perspective and genuine enthusiasm for using AI to make audit work sharper and faster. WHAT YOU'LL SHIP - Lead and execute internal audits across the whole company, including finance, operations, technology, and compliance. - Develop and implement audit plans, including risk assessments, using innovative tools and techniques such as AI. - Conduct in-depth reviews of processes and controls to identify risks and areas for improvement. - Prepare clear, concise, and insightful audit reports with findings, recommendations, and follow-up actions. - Collaborate with management to implement corrective actions and ensure risks are effectively mitigated. - Contribute to and help evolve the team's AI powered audit platform and tooling. - Stay current on relevant auditing standards, regulations, and best practices, and continuously explore new audit methodologies and technologies. WHAT YOU'LL BRING - A Master's degree in accounting, finance, or IT auditing, with relevant certifications such as RA, RE, RO, CIA, or CISA considered a plus. - A minimum of 7 years of experience in internal or external audit, ideally within a Dutch regulated financial institution. - Proven ability to lead and execute complex audits, from planning through fieldwork to reporting. - A passion for innovation, backed by a track record of developing and implementing new audit approaches. - Strong communication and interpersonal skills, with the ability to engage effectively with all levels of management. - Ability to work independently and as part of a team in a collaborative, fast paced environment. - As a senior team member, the ability to take full ownership of an audit from start to finish. GROW YOUR WAY At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. UNLOCK YOUR FULL POTENTIAL AND JOIN US TO ELIMINATE FINANCIAL BUREAUCRACY If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI AT MOLLIE We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 — £230,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom Workplace: fully Praktika is an AI-native education company on a mission to deliver efficient, engaging language learning to billions of people worldwide. We're bridging the gap between traditional learning apps and human tutors through a fully automated tutorship experience powered by generative AI avatars. Since launching our mobile apps in 2023, we've grown to over 2 million monthly active users, become one of the world's top-4 learning apps, and recently closed a $30M Series A to accelerate our roadmap. We're a fully distributed team of ~50 people across 4 continents and 15+ countries, working asynchronously to ship fast and operate at a high bar. We're hiring a User Acquisition Manager to help us evolve our web direction at Praktika. This is a hands-on role for a performance marketer who enjoys owning campaigns end-to-end: from campaign setup and optimisation to performance analysis and new channel launches. You'll partner closely with our Creative team, Growth and the web funnel team, and your work will directly shape how learners discover Praktika on the web. What you'll do Manage day-to-day performance and optimisation of web acquisition campaigns across different media sources, making data-driven decisions on scaling, pausing or restructuring. Set up and run experiments across creatives, audiences, signals and campaign setups. Analyse campaign and creative performance and turn insights into actionable next steps. Support the launch and testing of new channels, campaign types and advertising formats. Work closely with the Creative team on creative testing, performance analysis and iteration of new concepts. Contribute to web funnel optimisation by bringing UA insights and identifying growth opportunities. Use AI tools and automation to streamline reporting, creative analysis, campaign optimisation and other recurring UA workflows. Collaborate with advertising partners and account managers to improve performance and support new initiatives. Stay current on industry trends, platform updates, privacy changes and emerging AI capabilities in performance marketing. What we're looking for We're looking for hands-on performance marketers who thrive in a fast-moving environment, bring a growth mindset, and operate with a high degree of agency and autonomy. Required 1.5+ years of hands-on User Acquisition / Performance Marketing experience. Experience with Google / Microsoft Ads and/or Meta / TikTok Ads. Experience independently managing paid acquisition campaigns and making day-to-day optimisation decisions. Strong understanding of campaign optimisation, testing, attribution and core performance metrics. Analytical mindset: you understand what drives campaign performance and turn insights into actions. Interest in performance creative: you analyse creative performance, spot patterns and suggest new tests. Interest in the product side of acquisition: you connect campaign results with landing pages, funnels and offers. Strong attention to detail and high execution speed. Comfortable using AI and automation tools in day-to-day work. Upper-intermediate or advanced English. Bonus Experience with Pinterest, Snapchat, AppLovin or other channels. Experience with web acquisition, subscriptions or international markets. How we work Mission-driven : we're building the #1 language learning app and competing to win. AI-native ; AI isn't a feature; it's how we think, build, and scale. Extreme ownership ; every project has a clear owner who drives it to success. Less meetings, more outputs ; async first; meetings are a last resort. Speed & excellence ; move fast without compromising quality. Truly all-in : impactful work, full commitment, real rewards. Data-driven ; decisions are based on evidence, not opinion. User-obsessed ; if it doesn't improve the learner experience, it doesn't matter. What we offer Equity that grows with your impact (stock options). 26 days of holiday plus bank holidays (34 days per year total). Annual company off-site (last year: Dubai). Health and wellness benefits via SafetyWing. Full AI toolkit access: Claude, Cursor, Codex, and other productivity tools. $1,000 annual education and learning budget. Fully remote: work from wherever you do your best work. Why should you join Praktika: We expect dedication and hard work, but we also believe in rewarding it. Our compensation reflects the effort and results you bring to the table. Top-tier salary to match your top-tier skills Equity that grows with your impact: equity growth via stock options 26 days holidays plus bank holidays (34 days per year) Yearly off-sites: last year was in Dubai! Health and wellness benefits to support your overall well-being through SafetyWing Access to an AI toolkit including Claude, Cursor, Codex and other productivity tools Annual educational budget of up to $1,000 Interview process: Recruiter screen Hiring manager interview Skills test: UA case study Culture fit Leadership interview We will provide you with feedback throughout the interview process. Join Praktika and help drive the growth of our web platform. Apply now to be part of a team that is redefining language learning for millions of users worldwide.

Location: Vilnius, Lithuania Workplace: hybrid Project/Client: Fintech Location: Lithuania, hybrid model (3 days in the office) Start Date: ASAP Duration: 12 months Language: English Role Overview: We are looking for a Senior Java Developer to join a fintech project focused on scalable backend systems, data integration, and event-driven architecture . The role involves developing Java / Spring Boot microservices and working with data streaming and/or Data Warehouse solutions. Key Responsibilities: Design, develop, and maintain backend services using Java and Spring Boot Build and support microservices and event-driven solutions Work with messaging and data streaming tools such as Kafka , RabbitMQ , or similar technologies Contribute to data integration, CDC , ETL/ELT , and/or DWH -related initiatives Work with relational databases such as PostgreSQL , MS SQL Server , or similar Collaborate with engineering, data, DevOps , and business teams Must-Have Requirements: Strong hands-on experience with Java and Spring Boot Proven experience with microservices architecture Hands-on experience with Kafka , RabbitMQ , or similar messaging/streaming technologies Experience with data streaming and/or Data Warehouse / DWH projects Good knowledge of relational databases ( PostgreSQL , MS SQL Server , or similar) Fluent English Nice to Have: Previous experience in fintech , banking , or financial systems What we offer Model: B2B contract with Bonapolia - one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!