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Location: South Africa; Ethiopia; Pakistan; Jamaica; Morocco; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is an innovative leader in the premium automotive care and lifestyle space, redefining the traditional service model by blending world-class craftsmanship with a high-end community experience. Operating out of a luxury facility in the Dallas-Fort Worth area, the team specializes in high-precision services for car enthusiasts, including paint protection film, ceramic coatings, and custom vinyl wraps. They serve a discerning clientele ranging from daily drivers to exotic vehicle collectors, providing an environment that feels more like a luxury lounge than a standard workshop. This fast-growing company has built a unique culture centered on passion and precision, where the customer experience is just as important as the technical result. With a focus on quality over volume, the team utilizes advanced techniques and premium products to deliver flawless protection and aesthetics. They are looking for dedicated professionals who thrive in a detail-oriented, collaborative environment and are eager to contribute to a brand that is setting new standards in the automotive aftermarket industry. Role Type: Full-time Engagement: Independent Contractor Job Summary Join a fast-growing automotive specialist as a Junior Sales Development Representative and turn your passion for cars into a career. This company is a one-stop shop for performance upgrades, routine maintenance, premium wraps, and PPF, complemented by a thriving e-commerce platform. As an early member of the sales team, you will be the driving force behind new business, engaging with enthusiasts and car owners to build a high-performance sales pipeline. This is a unique opportunity for an automotive enthusiast to learn the ropes of high-intent sales in a startup environment that values results over seniority. Key Responsibilities Handle inbound and outbound outreach to prospective clients interested in maintenance, custom upgrades, and e-commerce products. Conduct discovery calls to identify client needs and match them with the shop's specialized services. Manage and nurture leads through the sales funnel with a primary focus on hitting high closure rate targets. Engage with clients during peak "after-work" hours and weekends to maximize conversion when customers are most available. Maintain organized records of all interactions and client data within the CRM. Requirements Foundational automotive knowledge; you must understand the basics of car maintenance and aftermarket modifications. Exceptional communication skills with a clear, professional, and persuasive speaking style. High level of English proficiency to build trust and rapport with a diverse client base. Flexibility to work CST hours, specifically during evenings and weekends when client engagement is at its highest. A competitive mindset driven by KPIs, specifically closing ratios. Nice-to-Haves Prior experience with GoHighLevel or similar CRM platforms. Experience in objection handling and running discovery calls. Background in CRM administration or sales operations. Advanced technical knowledge of wraps, PPF, or specific automotive performance parts. Benefits 💰 Competitive base salary 🌎 Fully remote work environment 🚀 Career growth opportunities as the startup scales 📈 Base salary increases tied directly to KPI achievement

Location: Mumbai, India; New Delhi, India We are seeking an experienced Senior Data & AI Governance Lead to join our team in Saudi Arabia. This leadership role is critical in establishing and driving the data and AI governance frameworks across the organization to ensure ethical, compliant, and effective use of data and artificial intelligence technologies. As the Senior Data & AI Governance Lead, you will oversee the development and implementation of governance policies, standards, and practices that ensure data quality, privacy, security, and responsible use of AI. You will collaborate closely with stakeholders across business, technology, legal, and compliance teams to embed governance principles within data and AI initiatives and to manage risks effectively. This position offers a unique opportunity to lead in an evolving technological landscape and help organizations harness the power of data and AI while maintaining trust and compliance. Key Responsibilities Develop and implement data and AI governance frameworks, policies, and standards aligned with business objectives and regulatory requirements. Lead cross-functional teams to embed governance practices in AI/ML development and data management processes. Ensure compliance with relevant data privacy, security, and ethical standards, including KSA regulations. Collaborate with legal and compliance teams to monitor regulatory changes and adjust governance frameworks accordingly. Define metrics and KPIs to measure the effectiveness of data and AI governance initiatives. Provide guidance and training to stakeholders on governance policies, ethical AI use, and data stewardship responsibilities. Oversee risk assessment related to data and AI projects and implement mitigation strategies. Drive continuous improvement in governance processes and keep abreast of emerging trends in data, AI, and regulatory landscapes. Facilitate communication between technical teams, business units, and senior management regarding governance issues and compliance status. Lead audits and reviews related to data and AI governance compliance. Requirements Bachelor's degree in Computer Science , Information Systems , or a related field. 5–20 years of experience in Data Governance, Data Privacy, Data Architecture, AI Governance, AI/ML, or related disciplines. Strong understanding of data governance regulatory requirements and industry-leading data quality frameworks. Knowledge of KSA Personal Data Protection Law (PDPL). Experience in Governance, Risk & Compliance (GRC), Responsible AI, and AI regulations. Hands-on experience with Informatica Suite (EDC, IDQ, Axon, MDM). Strong knowledge of Data Governance Frameworks, Operating Models, Data Quality Management, Data Privacy, Data Architecture, and Data Modeling. Experience in AI Governance, AI Auditing, AI Engineering, and Data Science. CDMP certification preferred. Data Privacy certifications preferred. TOGAF or equivalent Architecture certification is a plus.

Location: Georgia; Poland; Cyprus; Serbia; Kazakhstan; Uzbekistan We are looking for a highly organized and detail-oriented finance professional with 3+ years of experience in FP&A or financial controlling to support our FP&A team. The role requires strong ownership of reporting deliverables and transactional quality control, with advanced Excel/Google Sheets and PowerPoint skills to drive management reporting, AP process and ensure high data quality. The ideal candidate demonstrates exceptional attention to details, strong communication skills, and the ability to consolidate and analyze data from multiple systems, detect issues, and convert numbers into clear insights for management. Responsibilities • Work closely with Accounting, Reporting, Tax and Financial Controllers to support the monthly management reporting close by cleansing, validating, and consolidating data from diverse sources (ERP, procurement system, and cross-functional inputs). • Own procure-to-pay monitoring for assigned entities: track requests/payments, resolve issues, and ensure complete audit/tax/reporting documentation through rigorous compliance checks (contract terms, allocation, classification) in coordination with process stakeholders. • Maintain financial data integrity across complex Google Sheets models, ensuring critical financial data is accurate and accessible for the wider Finance team. • Build high-quality reports and presentations for leadership (PowerPoint storytelling, dashboards, clear takeaways). • Partner with stakeholders across the business to gather timely inputs for short-term forecasting cycles. • Prepare supporting calculations (e.g., intercompany charges) and incorporate them into reporting and forecasting to support financial decision-making. • Proactively optimize processes by identifying data "pain points" and support implementation of scalable solutions to continuously improve data quality and reporting efficiency Requirements • A solid foundation in finance with a deep understanding of core financial statements (P&L, BS, CF) under IFRS. • Experience working with ERP systems is a must; procurement software experience is a plus. • Exceptional attention to detail to drive the AP process with high accuracy and a meticulous approach to work, driven by a commitment to high-quality results. • Basic understanding of financial documentation (invoices, contracts, closing documents). • Advanced Excel & Google Sheets skills to work with complex tables and models, including large datasets with strong data discipline. • A 'Visual-architect' mindset with excellent PowerPoint skills to create clean executive-level decks with comprehensive storytelling, charts, and structured narratives. Basic PowerBI experience is a plus. • Proactive mindset with an interest in improving and streamlining finance processes. • Outstanding communication skills and ability to collaborate with different stakeholders across the business. • Fluency in English (written and spoken) with the ability to present financial insights clearly to diverse stakeholders. Benefits Diverse range of tasks. Great challenge with fast feedback loops. Remote from anywhere in the world. Access any of our global offices anytime. Flexible schedule. 40 paid days off.

Location: New York City, NY; San Francisco, CA | New York City, NY 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 part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications Proficiency in Python, SQL, and data visualization tools Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences Strong written communication and presentation skills Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications 5+ years of experience in data science or analytics roles A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Genuine interest in Anthropic's mission of developing safe and beneficial AI 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: $285,000 — $380,000 USD 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. 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: India Workplace: remote About the Role Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client. In this role, you will perform A/B preference testing of machine-generated translations from English into Indic languages, helping to evaluate and improve the quality of AI-generated content.  As a Translation Validator, you will independently review an English source document alongside two machine-generated translations (Variant A and Variant B), select the preferred translation, and provide a written justification for your choice. Each sample is reviewed by three independent validators working in a blind process. Project Details Job Title: TL Validation for Indic Languages  Location: Remote  Commitment: 2 weeks Employment Type: Freelance Contract  Pay Rate: $3.50/hour #LI-CC1 What You’ll Do Review English source documents alongside two machine-generated Malayalam translations. Evaluate both variants based on accuracy, fluency, and overall translation quality. Select the preferred translation and provide a clear written justification for your assessment. Review audio files and their corresponding transcriptions, evaluating accuracy, completeness, and overall quality. Assess both transcription quality and audio quality according to project guidelines. Complete assigned samples independently and within established timelines. Adhere strictly to project and client guidelines Requirements: Native-level fluency in Malayalam (written and spoken) . Strong written communication skills in the target language. Proficiency in English. Background in linguistics, translation, or language quality assessment preferred. Ability to work independently with high attention to detail and consistency. Familiarity with Romanized script conventions for the relevant language is a plus (for transliteration tasks). Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: India Workplace: remote About the Role Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client. In this role, you will perform A/B preference testing of machine-generated translations from English into Indic languages, helping to evaluate and improve the quality of AI-generated content.  As a Translation Validator, you will independently review an English source document alongside two machine-generated translations (Variant A and Variant B), select the preferred translation, and provide a written justification for your choice. Each sample is reviewed by three independent validators working in a blind process. Project Details Job Title: Translation Validation - Bengali Location: Remote  Commitment: 2 weeks Employment Type: Freelance Contract  Pay Rate: $3.50/hour #LI-CC1 What You’ll Do Review English source documents alongside two machine-generated Bengali translations. Evaluate both variants based on accuracy, fluency, and overall translation quality. Select the preferred translation and provide a clear written justification for your assessment. Complete assigned samples independently and within established timelines. Adhere strictly to project and client guidelines Requirements: Native-level fluency in Bengali (written and spoken) . Strong written communication skills in the target language. Proficiency in English. Background in linguistics, translation, or language quality assessment preferred. Ability to work independently with high attention to detail and consistency. Familiarity with Romanized script conventions for the relevant language is a plus (for transliteration tasks). Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: India Workplace: remote About the Role Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client. In this role, you will perform A/B preference testing of machine-generated translations from English into Indic languages, helping to evaluate and improve the quality of AI-generated content.  As a Translation Validator, you will independently review an English source document alongside two machine-generated translations (Variant A and Variant B), select the preferred translation, and provide a written justification for your choice. Each sample is reviewed by three independent validators working in a blind process. Project Details Job Title: TL Validation for Indic Languages  Location: Remote  Commitment: 2 weeks Employment Type: Freelance Contract  Start day: ASAP Pay Rate: $3.80/hour #LI-CC1 What You’ll Do Review English source documents alongside two machine-generated Odia translations. Evaluate both variants based on accuracy, fluency, and overall translation quality. Select the preferred translation and provide a clear written justification for your assessment. Complete assigned samples independently and within established timelines. Adhere strictly to project and client guidelines Requirements: Native-level fluency in Odia (written and spoken) . Strong written communication skills in the target language. Proficiency in English. Background in linguistics, translation, or language quality assessment preferred. Ability to work independently with high attention to detail and consistency. Familiarity with Romanized script conventions for the relevant language is a plus (for transliteration tasks). Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: India Workplace: remote About the Role Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client. In this role, you will perform A/B preference testing of machine-generated translations from English into Indic languages, helping to evaluate and improve the quality of AI-generated content.  As a Translation Validator, you will independently review an English source document alongside two machine-generated translations (Variant A and Variant B), select the preferred translation, and provide a written justification for your choice. Each sample is reviewed by three independent validators working in a blind process. Project Details Job Title: TL Validation for Indic Languages  Location: Remote  Commitment: 2 weeks Employment Type: Freelance Contract  Pay Rate: $3.50/hour What You’ll Do Review English source documents alongside two machine-generated Gujarati translations. Evaluate both variants based on accuracy, fluency, and overall translation quality. Select the preferred translation and provide a clear written justification for your assessment. Complete assigned samples independently and within established timelines. Adhere strictly to project and client guidelines Requirements: Native-level fluency in Gujarati (written and spoken) . Strong written communication skills in the target language. Proficiency in English. Background in linguistics, translation, or language quality assessment preferred. Ability to work independently with high attention to detail and consistency. Familiarity with Romanized script conventions for the relevant language is a plus (for transliteration tasks). #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Strategic Finance team sits at the center of how the company allocates its time and resources. We're hiring across three complementary tracks — and looking for people with sharp financial instincts, a builder's mindset, and the drive to take on a large scope quickly. Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is a rare opportunity to shape a pre-IPO company at a pivotal moment in its growth. WHAT YOU'LL DO - Build and own detailed financial and operational models with the highest quality and accuracy - Use data to influence key strategic decisions across Product, GTM, and business leadership - Lead planning analyses for cross-functional teams, evaluating tradeoffs across growth, efficiency, and resourcing - Identify and develop KPIs; build dashboards to monitor performance and communicate insights to stakeholders - Partner closely with business leaders to translate strategy into execution and drive accountability - Help run bi-annual budgeting and headcount planning cycles - Manage company performance against financial targets — identifying where to course-correct and where to accelerate - Build and maintain internal tools that reduce manual work and improve data accuracy across the finance org WHAT YOU NEED - 1–4 years in Investment Banking, Management Consulting, VC/PE, or Corporate Finance at a top-tier technology company - Excellent financial modeling and quantitative / data analysis skills - Extreme attention to detail with a high regard for precision - Exceptional verbal and written communication skills - Track record of developing and maintaining relationships with internal and external partners - A "get things done" mentality — you dissect complex problems, find solutions, and drive them to completion with a high degree of autonomy - Comfort operating in ambiguity and adapting to evolving priorities NICE TO HAVES - Expertise with Looker, SQL, and/or Python - Systems thinking — you design processes to be reliable, scalable, and maintainable - Curiosity about AI tools — prior experience is a plus, but not required BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Kyiv, Ukraine Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/eaa93aea-4a8e-480b-ac45-957f53a8b99b/230615d5-1e71-4618-8216-a6082a6261ae/Holy%20earth.png] HOLYWATER TECH https://holywater.tech/ — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту. Вони є прикладами ШІ-нативних платформ, що переосмислюють способи сторітелінгу та дають змогу будь-кому стати творцем. Екосистема продуктів HOLYWATER TECH включає: → My Drama https://apps.apple.com/us/app/my-drama-watch-shorts-movies/id6498713494 — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші → My Passion https://apps.apple.com/us/app/my-passion-romance-books/id1568149521 — цифрову бібліотеку книг №1 у понад 10 країнах світу → My Muse https://apps.apple.com/ua/app/my-muse-audiobooks-stories/id6738098034 — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу ___________________________________________________________________________ HOLYWATER TECH СЬОГОДНІ — ЦЕ: - понад 100+ млн завантажень застосунків - стратегічне партнерство з FOX Entertainment - х2 рази — щорічне зростання компанії за 2024-2025 роки - 30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovie - понад 100 млн годин переглянутого та прочитаного користувачами контенту - провідні позиції у своїх нішах на ринках США та Європи ___________________________________________________________________________ Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — людська уява. І зараз шукаємо Senior Influence Marketing Manager, хто готовий/-а долучитися й творити його разом із нами. ТВОЯ МІСІЯ: - Взяти повне end-to-end ownership напрямку Influence Marketing: від стратегії до звітності. - Побудувати і запустити канал для US-ринку MyDrama — а далі масштабувати на інші продукти і географії. - Розробити методологію атрибуції разом із виділеним аналітиком — за межами UTM-лінків: uplift-аналіз, промокоди, marketing mix modeling. - Запустити sourcing через Modash та інші платформи, вести персоналізований outreach, вести переговори і контрактинг. - Будувати performance-моделі співпраці — рахувати unit-економіку і ROMI, ітерувати креативи й офери. - Працювати з власним IP компанії — акторами і контентом серіалів MyDrama — як амбасадорський актив. - Координувати запуски з legal, finance, brand, продуктовою і dev-командами: лендинги, промокоди, реферальна інфраструктура. - Використовувати AI щодня — парсинг бази, генерація брифів, переклади, аналіз конкурентів. - Готувати регулярну звітність і пропонувати стратегічні кроки для розширення каналу. ___________________________________________________________________________ ДЛЯ ЦЬОГО ЗНАДОБЛЯТЬСЯ ТАКІ НАВИЧКИ ТА ДОСВІД: - Для цього знадобляться: - Від 2 років в influence marketing за performance-моделями. - Досвід запуску influence-напрямку з нуля або суттєвої трансформації з brand awareness на performance. - Досвід роботи на західних ринках — US або EU. - Вміння самостійно ставити задачі аналітикам і працювати з даними. - Глибоке розуміння атрибуції: не лише UTM, а й uplift-аналіз, промокоди, MMM як концепт. - Практика роботи з UGC-креативами для Meta і TikTok paid-каналів. - AI-first підхід — Claude, ChatGPT як щоденні робочі інструменти, а не рідкісні експерименти. Nice to have: - Запуск ambassador-програм на US-ринку. - Досвід роботи з акторами або медіаперсонами як амбасадорами власного IP. - Знання мобільних attribution-систем: AppsFlyer, Adjust, Singular. - No-code автоматизація — Make, n8n, Zapier. - Досвід у продуктових компаніях категорій entertainment, dating, fintech або crypto з підписовою моделлю. ___________________________________________________________________________ ЩО ОТРИМАЄШ ВІД НАС: - Швидке професійне зростання. Ми будуємо середовище, де розвиток — норма: лекції, бібліотеки, хакатони, школи. Компенсуємо профільне навчання й вивчення будь-якої мови, зокрема української. - Формат роботи на твій вибір. Можеш працювати вдома, в офісі на київському Подолі чи у Львові (генератори, укриття, обіди, снеки — all inclusive), або ж за кордоном — маємо кілька офісів і там. - Техніку та сервіси. Все, що треба для роботи. - Відпочинок. 20 днів відпустки + на офіційні свята та безлімітні лікарняні. - Турботу про тіло та менталку. Компенсуємо спорт, медстрахування в Україні (після випробувального), послуги корпоративного лікаря і підтримку ментального здоров’я. ___________________________________________________________________________ ЧОМУ З НАМИ КЛАСНО? - Реальний вплив. Твої рішення прямо впливають на 100+ млн користувачів — їхній досвід, емоції й час у продукті. - Жива культура. Ми створюємо середовище, де можна експериментувати й пробувати нове. Середня оцінка відповіді на питання «Наскільки тобі подобається працювати в HOLYWATER?» за результатами eNPS — 9,23/10. - Автономність. Ми довіряємо рішенням команди: мінімум мікроменеджменту, максимум простору для ініціативи й впливу. - Сильні люди поруч. Ми постійно челенджимо статус-кво та досягаємо нових вершин. Думати інакше й прагнути більшого — тут це підтримають. Можливо, це — твій шанс стати нашим наступним big name? ___________________________________________________________________________ ХОЧЕШ БІЛЬШЕ ПРО HOLYWATER TECH? ЧЕКНИ ЦЕ: Як працює HOLYWATER TECH — на Vector Media https://vctr.media/ua/vid-banochki-svyatoyi-vodi-zi-lvova-do-ugodi-z-fox-entertainment-yak-praczyuye-holywater-startap-yakij-buduye-netflix-dlya-vertikalnogo-video-318305/ Партнерство з Dhar Mann Studios та FOX Entertainment https://www.hollywoodreporter.com/tv/tv-news/dhar-mann-microdramas-deal-fox-holywater-1236478483/ Інтерв’ю со-CEO Богдана Несвіта https://www.linkedin.com/in/bogdannesvit/ про партнерство FOX Entertainment для Forbes https://forbes.ua/innovations/maemo-60-mln-koristuvachiv-i-rostemo-duzhe-shvidko-ukrainska-holywater-znimatime-vertikalni-seriali-z-amerikanskoyu-fox-yak-vona-zaluchila-takogo-partnera-intervyu-25102025-33594 Про вертикальні серіали, які змінюють індустрію — у Детектор медіа https://detector.media/mediumy/article/248303/2026-03-13-vid-tiktok-do-gollivudu-prodyuserka-holywater-tech-pro-vertykalni-serialy-yaki-zminyuyut-industriyu/ Наші Instagram https://www.instagram.com/holywater.tech/ та LinkedIn https://www.linkedin.com/company/holywater/?viewAsMember=true — щоб бути в курсі всього, що в нас відбувається Хочеш творити історію разом з нами у HOLYWATER TECH? Відгукнися на вакансію!

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. 50 Billion Daily Bid Predictions The adjoe Ads Data Science team owns the entire bidding algorithm that decides which ad you are most likely to enjoy from start to finish: conversion prediction, user quality estimation, and bid shading. Every bid adjoe placed in an ad auction is the output of ML models making 50 billion predictions daily, trained on data from our mobile SDKs that capture real user behavior at scale. The team moves fast: new ideas tested offline, A/B tests launched in production within minutes. We rely on industry-proven state of the art technology, adapted to our needs and self-hosted where it matters: PyTorch and TensorFlow for modeling, Trino and Athena for querying a 350TB Iceberg data lake, Airflow and Ray for orchestrating our different training pipelines across multiple GPU clusters. Models are built on 600+ features and trained on 200 million data points, with the full ML lifecycle owned by the team from research and experimentation to deployment and real-time inference at sub-200ms latency. Your Mission & Who We Are Looking For: - 5+ years in Data Science, 2+ in leadership. You have a track record of architecting and deploying ML solutions, recommender systems and neural networks specifically, and have led data science teams through hiring, mentoring, regular 1-1s, and career development. At adjoe Ads, you'll be growing and managing the team of Data Scientists, Data & ML Engineers, Data Analysts that owns the entire bidding algorithm. - At least 50% hands-on. This is not a purely managerial role. You work on data science tasks yourself, own critical procedures like experiments and implementation details, and mentor data scientists in advanced modeling, programming quality, and strategic thinking. - Fluent in data at scale. You've worked with large, diverse data sources AWS Athena, Kafka, Spark, Flink, S3, MySQL and know how to extract signals from a 350TB data lake. Strong Python required; experience building an MLOps stack with Airflow, Spark, or Flink is a strong plus. - Bridges math and business. You can dive deep into mathematical foundations and translate complex model behavior into clear decisions for product and business stakeholders. You align with the adjoe Ads product team and Cloud Infrastructure on priorities, tools, and best practices. - Contributes to the roadmap, not just the backlog. You work on long-term strategy and quarterly OKRs, contributing to adjoe Ads' position as a strong competitor in the programmatic adtech market. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. The Platform Behind 770 Million Users and Billions of Daily Ad Decisions Behind the value exchange sits an ecosystem of interconnected engineering teams, each owning a distinct part of the stack. On the demand side, Go microservices evaluate 30+ targeting constraints in milliseconds, process 5.5 billion API requests daily, and integrate with ML models making 100,000+ predictions per second to decide which campaigns reach which users. On the publisher side, native Android and iOS SDKs run on 13% of the world's smartphones, delivering rewards to 770 million users annually through a system where accuracy and latency are not optional. At this scale, product and technical decisions don't happen in isolation, every change ripples across the entire platform. Your Mission & Who We Are Looking For: - 6+ years in Product Management, Technical Product Management, or a leadership role where you owned the product vision. You have a proven track record of taking products from 0 to 1 or scaling from 1 to 100 in a high-growth environment, with a CS degree or equivalent hands-on mastery of system design and modern tech stacks. You think like an entrepreneur, if something is broken or missing, you fix it without waiting for a brief. - Ships with conviction, measures with precision. You don't just ship features, you define why they're being built, how they fit the product lifecycle, and exactly how to measure success via business KPIs. You're a fast thinker who values question-and-answer efficiency over process overhead. - Translates vision into execution. You take high-level business and product goals and turn them into actionable technical roadmaps. You drive projects by coordinating across domain areas, acting as the go-between for business stakeholders and engineering leads, and optimizing delivery processes to maintain velocity as the organization scales. - Makes executive-level calls without hesitation. You step into technical and product meetings, unblock bottlenecks, and balance technical feasibility with product desirability. You're comfortable with ambiguity and dive into tickets, API documentation, or raw data to confirm product viability on your own. - Tech fluency is your edge, not your identity. You understand system design and modern tech stacks well enough to make the right calls and ensure every feature maps back to measurable growth and revenue, not to write the code. You value AI as an optimizer but prioritize impact over hype. - Manages and influences across teams. You have experience managing or mentoring people and can influence stakeholders across different departments. You articulate complex technical concepts clearly to non-technical audiences with confidence. - Plus: Experience collaborating with Data Science, Data Engineering, and Analytics teams to leverage complex data models and pipelines for product-led growth decisions. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Group Product Manager to lead Wrike’s Core unit - the product area at the heart of how customers plan, structure, manage, and scale work in Wrike. In this role, you will lead a unit of five product teams and manage a team of five Product Managers. You will define the vision and strategy for Core Wrike going forward, balancing three critical forces: increasing product power, preserving ease of use, and evolving the experience to be suitable for the AI-native future. This is a high-impact leadership role for someone who can combine strong product judgment, people leadership, customer empathy, and strategic prioritization. You will help shape the foundation of Wrike’s product experience while developing a team of PMs into stronger strategic product leaders. Your Impact: Set the Core strategy: Define and evolve the vision, strategy, and priorities for Wrike’s Core unit, ensuring the product remains powerful, scalable, easy to use, and ready for AI agents collaboration as well as for human. Lead a multi-team product area: Manage five Product Managers across five teams, ensuring clarity of ownership, strong decision-making, and consistent product quality across the unit. Prioritize ferociously: Balance customer requests, enterprise needs, technical investments, usability improvements, and long-term strategic bets — with a clear view of what matters most. Enable AI-native R&D: Contribute to building the processes, tooling, and mindsets needed for the R&D organization to scale output and outcomes by 10x with AI-native ways of working. Develop the PM team: Coach, mentor, and grow Product Managers, helping them to achieve the next level. Your Qualifications: Product leadership experience: Proven experience leading product managers or managing a complex product area with multiple teams and stakeholders. Strong core PM craft and customer-centric mindset: Deep understanding of product discovery, customer validation, roadmap strategy, prioritization, metrics, and product delivery. Enterprise SaaS experience: Strong knowledge of B2B SaaS and enterprise customer needs, including scalability, adoption, usability, configurability, and change management. Strategic prioritization: Ability to make hard trade-offs across incomparable investments, customer escalations, technical complexity, and long-term platform direction. Cross-functional leadership and stakeholder management: Ability to align teams and stakeholders across Product, Engineering, Design, GTM, and executive leadership. People management skills: Experience coaching, mentoring, hiring, developing, and managing performance of product managers. Excellent UX judgment: Ability to balance power and simplicity in complex product experiences. Standout Qualities: Experience in B2B SaaS enterprise products in collaboration or productivity area Practical understanding of AI-native product development and agentic workflows. Visionary mindset and ability to redefine complex products vision Strong technical fluency and ability to partner effectively with engineering leaders. Our Work Style: Core product impact: You will shape the foundational Wrike experience used by customers every day to manage work at scale. Strategic complexity: The role requires balancing power, simplicity, customer demand, technical depth, and AI-readiness in one of Wrike’s most important product areas. People leadership scope: You will directly develop a team of five PMs and influence the product culture of a larger R&D unit. AI-native transformation: You will help define how Core Wrike evolves for a future where AI changes how teams create, structure, and manage work. High visibility: Your decisions will influence Wrike’s product direction, customer value, and long-term competitiveness. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays What’s Next? Exploratory call with a Recruiter Meeting with the hiring manager - Product Director Panel interview with Product, Engineering, and Design representatives Home task Final interview with the CPO Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment. What you'll do Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer. Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration. Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value. Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI. Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt. Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D. Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions. Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable. Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact. What you'll bring A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them. Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently. AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design. Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost. Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when. AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns. Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?" Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential. Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs. End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently. Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes. Preferred requirements Experience with GitLab platform and CI/CD workflows Background in consulting, solutions engineering, or customer-facing technical roles Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development Previous startup or high-growth company experience Experience mentoring or leading technical projects with junior engineers About the team You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers. We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $108,400 — $129,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Mesa, AZ, USA Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments, where performance, reliability and practical engineering support matter. We are seeking a Design Engineer to support the development, improvement and customisation of Bradken’s mining equipment product lines, with a primary focus on Crawler Systems for electric rope shovels and hydraulic excavators. This is a hands-on mechanical design role suited to someone who enjoys detailed engineering work, product problem-solving and seeing designs move from concept through to manufacture and field use. About the role You will work across product design, reverse engineering, modelling, drafting, simulation and technical documentation. With strong design judgement and practical problem-solving skills, you will support new product development, product updates and customer-specific designs across Crawler Systems, Buckets, Ground Engaging Tools and other mining products. You will: · Create and update 3D models, detailed drawings and design documentation. · Support reverse engineering, product improvements and new concept design. · Complete analysis, simulation and technical checks to support safe, reliable product design. · Work with Manufacturing and Supply Chain to ensure designs can be built, supplied and supported effectively. · Support field evaluations and product reviews through site and manufacturing visits when required. · Capture product data, specifications and design changes in Bradken’s Product Lifecycle Management system. · Provide technical input to internal teams on product performance, design intent and manufacturability. · Contribute to quality, safety and continuous improvement across engineering activities. This role is primarily office or shop-based, with some travel to customer and manufacturing sites. Travel is expected to be around 10–20%. About you You will bring: A Bachelor’s degree in Mechanical Engineering or equivalent. Experience in mechanical design, product design, reliability engineering or product development. Experience in mining equipment, construction equipment, heavy manufacturing or a similar industrial environment. Strong capability in 3D CAD, detailed drafting and engineering analysis. Experience working with manufactured products, design changes and technical documentation. Ability to work with engineering, manufacturing, supply chain and commercial teams. A current driver’s licence and ability to travel locally and regionally. Spanish language capability is highly preferred, and French language capability would be advantageous. Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. Knowledge of surface mining equipment, crawler systems, manufacturing processes, ISO 9001, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. Applicants must currently be authorised to work in the United States without employer sponsorship. Bradken is unable to sponsor or take over sponsorship of an employment visa or other employer-supported work authorisation process for this role. Why join Bradken This role gives you the chance to stay close to the field, work on real mining equipment challenges and contribute to product improvements that matter to customers. You will be part of a global business where engineering, customer focus and practical problem solving come together. If you are interested in joining a team that is making a significant impact in the industry, we invite you to submit your application, along with your resume and a concise cover letter outlining why this position aligns with your career aspirations. Shortlisting for candidates will commence immediately. Everyone has a story... become a part of ours! How We Hire About Our Screening Process: As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them. If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. WE RESPECTFULLY REQUEST NO APPROACHES FROM RECRUITMENT AGENCIES. Bradken is an Equal Opportunity Employer. We are dedicated to fostering a diverse, inclusive, engaging, and flexible work environment for our employees, as we believe that remarkable outcomes arise when individuals are empowered to express their authentic selves in their work. All employment decisions will be based on merit, competence, performance, and business needs.

Location: Belgrade, Serbia Workplace: remote At Novakid, we’re building the world’s most engaging online English-learning platform for kids. With 80,000+ students and 2,500+ teachers across 15+ countries, we’ve proven the demand. Now we’re scaling up — and we want you to help us design and build the future of AI-driven education. We’re not just writing code. We’re creating a smart, personalized learning experience powered by modern AI models (OpenAI, Anthropic, Google, etc.), robust backend systems, and a passionate team that believes in changing how children learn. Your role We’re looking for a Senior+ Backend Engineer who’s ready to step beyond coding and take technical leadership responsibilities within our core platform team. You’ll be shaping architecture, mentoring engineers, and making strategic technical decisions that will directly influence how millions of kids learn languages. This is a hybrid role that combines: Deep hands-on coding in Python & modern backend technologies. Architectural leadership, designing scalable, reliable systems. What you’ll do Lead the design and evolution of our backend architecture (microservices, event-driven systems, AWS serverless, data pipelines). Drive technical decisions and ensure best practices in code quality, security, and scalability. Mentor and support backend developers, reviewing code and helping them grow as engineers. Design and build robust APIs and data flows powering AI-driven language learning features. Partner with Product and Data Science teams to turn cutting-edge AI models into real-world educational experiences. Anticipate technical risks, propose solutions, and balance speed with long-term scalability. What you bring 5+ years of professional backend engineering experience (Python 3.8+ is a must) Proven track record in system design, architecture, and scaling distributed systems. Strong knowledge of PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery. Hands-on experience with microservices & AWS serverless stack (Lambda, SQS/SNS, EventBridge, etc.). Solid understanding of software engineering best practices: code reviews, testing, CI/CD, observability, security. Experience mentoring developers or leading technical initiatives. Fluent English (we work across 15+ countries). Nice to have Background in startups or high-growth environments. Exposure to edtech or e-commerce platforms. Interest in data-intensive systems Why join us? Shape the future of AI-powered education for kids worldwide. 100% remote, flexible schedule (core hours GMT+3). A small, highly skilled team where your decisions have direct impact. A culture of ownership, trust, and learning — we want you to grow into a Tech Lead / Architect role. Unlimited paid time off. Competitive compensation, bonuses, and stock options — we succeed together.