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Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team As a Product Analytics Engineer Intern, you will join the Product Analytics team supporting Ledger Wallet across Product, Business, and Growth/CRM teams. Reporting directly to the Product Data Analytics Manager, you will play a key role in ensuring tracking data quality, and scaling our analytics infrastructure to support company-wide data-driven decision-making. What you’ll be doing - Cross-Functional Collaboration: Work closely with Product Managers, Data Engineers, and Data Scientists to deliver insights and support Growth/CRM personalization pipelines. - Experimentation & A/B Testing: Specify and support A/B test setups, funnel evaluation, and advanced statistical analysis for product features. - AI Governance & Automation: Help establish governance, guardrails, and custom skills for users querying analytics platforms (Mixpanel, Snowflake MCP) via AI tools, and contribute to building end-to-end AI-assisted tracking workflows. - Tracking Quality & Investigations: Triage, investigate, and follow up on tracking issues to maintain data sanity. - Documentation & Enablement: Develop comprehensive documentation and data models (dbt/data mart) to empower stakeholders - Privacy & Compliance: Maintain standard privacy-aware constraints across all data modeling and analytics workflows. What we're looking for - Final-year student in Engineering, Computer Science, Data Science, or a related technical field seeking an end-of-studies internship. - Strong proficiency in SQL, Python scripting, and data modeling concepts. - Analytics engineering mindset with a focus on data quality, reliability, reproducibility, and documentation. - Understanding of A/B testing methodologies, statistical analysis, and funnel evaluation. - Familiarity with Product Analytics tools (e.g., Mixpanel, Amplitude) and data visualization tools is a strong plus - Hands-on experience or deep curiosity regarding AI agents and workflow automation is a strong plus. - Excellent written and verbal communication skills in English. - Interest in Web3, digital assets, and crypto is a plus. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: IRL - Dublin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Sales Development Representative (SDR) to join our Dublin office and help accelerate pipeline generation. This role is ideal for someone with 9+ months of experience in technology sales who thrives in outbound prospecting, account research, and consultative discovery conversations. Experience selling into data, analytics, cloud, or infrastructure teams is a strong plus.As an BDR you’ll identify and engage target accounts, multi-thread into strategic organizations, and generate qualified pipeline through personalized outreach across phone, email, LinkedIn, and video. You’ll work directly with modern data leaders and technical buyers at fast-growing and enterprise organizations evaluating cloud data infrastructure, analytics modernization, AI initiatives, and data integration strategies. This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including 3 days in the office each week to connect and build as a team. Technologies You’ll Use Salesforce, Outreach, LinkedIn Sales Navigator, ZoomInfo, Lusha, Nooks, ChatGPT and AI prospecting tools, Gong, Google Workspace, Slack, Vidyard / Loom What You’ll Do Generate qualified pipeline through inbound and outbound prospecting across target accounts Research accounts, industries, and personas to craft personalized outreach Partner closely with Sales Directors to build account strategies and prioritize opportunities Execute multi-channel outbound campaigns using phone, email, LinkedIn, and video Conduct discovery conversations to uncover business challenges, technical pain points, and initiatives Engage data, analytics, engineering, IT, RevOps, and executive personas Maintain accurate activity, contact, and opportunity data within Salesforce Collaborate cross-functionally with Marketing, Partnerships, and Sales leadership Leverage AI tools and sales technologies to improve prospecting efficiency and messaging quality Consistently achieve and exceed activity, meeting generation, and pipeline targets Skills We’re Looking For 9+ months of experience in SaaS, cloud, infrastructure, or technology sales development Strong written and verbal communication skills with the ability to engage technical and business stakeholders Ability to learn and articulate technical concepts related to data, analytics, cloud, and AI infrastructure Experience with outbound prospecting and multi-threaded account engagement Strong organizational skills and ability to manage multiple accounts and priorities simultaneously Comfortable using AI tools such as ChatGPT or sales engagement platforms to improve research, messaging, and productivity Coachable, curious, resilient, and motivated by a high-performance sales environment German Speaker (required) Bonus Skills​ Experience selling into data, analytics, engineering, or IT organizations Familiarity with modern data stack technologies such as Snowflake, Databricks, dbt, or cloud data warehouses Experience using Outreach, Sales Navigator, ZoomInfo, or Gong Previous experience working in a high-growth SaaS environment Demonstrated success exceeding outbound pipeline generation targets #LI-LA1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range €45.500 — €55.300 EUR Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Bangalore, India 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 a Software Engineer on GitLab's Authorization team, you'll help build and maintain the system that decides what every user, token, and automated agent can access on GitLab.com, Self-Managed, and Dedicated. You'll work alongside experienced engineers who guide the larger design decisions, delivering well-scoped changes and growing into ownership of larger parts of the system. Today, that work is Ruby on Rails. Roughly 400 policy classes and a catalog of about 1,900 permissions sit behind every application programming interface (API) request. You'll work on fine-grained token permissions, custom roles, and the GraphQL and representational state transfer (REST) APIs that enforce them. A single request can trigger hundreds of permission checks, so correctness and performance both matter. You'll also contribute to moving the permission model to a new authorization stack that pairs the Rails monolith with a Rust policy engine. The engine represents access relationships and evaluates permission rules, and can run within the monolith's process or be reached through remote procedure calls using gRPC. You don't need prior Rust experience: several engineers on the team learned it for this work, and we'll support you doing the same. Some examples of our projects: Refactoring GitLab's policy layer so the same permission definitions can be evaluated by the monolith and the new authorization service Extending fine-grained token permissions to more resources, with guidance from senior engineers on the design What you'll do Implement authorization changes in GitLab's Ruby on Rails monolith so permission checks allow intended access and deny unauthorized access. Deliver well-scoped workstreams from feature-flagged rollout through verifying that the old and new systems produce the same results, with review and guidance from senior engineers. Build and extend fine-grained permissions for tokens and roles so additional resources have permission coverage consistent with the established catalog. Extend and fix authorization enforcement so GraphQL and the REST API enforce the intended permissions consistently. Make incremental refactors to long-lived policy code without changing behavior for existing customers. Investigate and fix reliability, performance, and security issues so affected permission checks return the expected results without regressions. Work with the authentication, platform, and artificial intelligence (AI) teams to document interface contracts that keep permission checks consistent as authorization moves toward a shared service. Contribute to design documents, merge requests, and code reviews so proposed changes have a documented rationale and review feedback is addressed asynchronously. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Solid experience building and maintaining production Ruby on Rails applications, typically gained over 2 to 4 years or more. Hands-on experience with authorization concepts, such as role-based access control or fine-grained permissions, from work or projects. A security mindset: you treat a permission bug as a security bug and consider who a change could affect before choosing an implementation. Experience making careful changes to existing codebases, including incremental refactors and feature-flagged rollouts that preserve existing behavior. Familiarity with GraphQL or API authorization patterns. Awareness of performance, including how repeated permission checks can add up on every request. Strong written communication and the ability to work effectively when most decisions happen in a document or merge request rather than a meeting. Helpful, but not required: hands-on PostgreSQL experience, or experience with Rust, gRPC or Protocol Buffers, Cedar or other policy languages, Zanzibar-style authorization systems, Go, or service-oriented architecture. We welcome transferable experience from adjacent domains such as identity, policy engines, and platform security. About the team We work in a fully asynchronous organization, with most decisions made in documents or merge requests rather than meetings. GitLab's mission is to enable everyone to contribute to and co-create the software that powers our world. Our values include collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. We expect all GitLab team members to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. 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: Berlin Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Strategic GTM Lead for Insurance in DACH: someone who has led client engagements at a top-tier strategy consultancy and now wants to build a market rather than advise on one. You will decide which insurers we go after and why, develop those relationships from first contact to signed partnership, and be the person senior insurance executives trust to think through how AI changes underwriting, claims and operations in their business. This is not a classic sales role. You will open new strategic insurance accounts and grow them into long-term partnerships, from the first executive conversation to large, account-level commitments. Our Account Executives close individual deals and use cases; you set the direction for the account as a whole. Most of your impact comes from account strategy, executive dialogue, ecosystem work with consultancies and partners, and shaping how Taktile shows up in the German-speaking insurance market. You will work closely with our Head of Insurance, Account Executives, Solution Engineering, Product and Engineering. What You'll Do - Identify and prioritize target accounts across DACH insurers (primary insurers, reinsurers, MGAs, insurance groups) based on a clear thesis: where the business case for AI-driven decisioning is strongest and where we can win - Build account strategies for your portfolio: map the organization, its strategic agenda and transformation programs, the buying committee and the path to an executive sponsor, and spot expansion opportunities from day one - Grow and retain accounts once they are live: steer the overall relationship, open new business lines and country organizations, and make sure clients see lasting value - Lead relationships at every level, from claims and underwriting heads to CIOs, COOs and board members, and move them from first conversation to a defined business case and a strategic commitment to Taktile - Design and moderate executive workshops and steering meetings with insurance leadership teams, turning open-ended ambitions ("we need to become AI-native") into concrete, prioritized use cases - Shape and land account-level commitments (business case, commercial framework, executive sign-off), working hand in hand with the Account Executives who close individual deals, Solution Engineering and our Head of Insurance - Work closely with Product and Engineering to tailor our platform to each client's needs and turn client requirements into concrete solutions - Build and work our ecosystem in DACH: strategy and technology consultancies, system integrators and core system vendors who shape insurers' technology decisions - Represent Taktile at industry conferences, roundtables and client events, and help design formats of our own that bring insurance executives together - Bring market insight back into Taktile: what insurers need, how competitors and incumbents position, and what that means for our product, messaging and pricing - Help build the playbook for Taktile's insurance business in DACH as we scale the team About You - 6+ years of total work experience, including 4–6 years at McKinsey, BCG, Bain or a comparable strategy or operations consultancy, ideally leading client teams as Engagement Manager, Project Leader or equivalent - Project experience with insurance clients; you don't need to be an insurance specialist, and adjacent work in operations, technical advisory or digital/AI transformation counts - A commercial track record: ideally you have sold or expanded projects as an Engagement Manager. Software sales experience is not required - Outgoing and client-facing: you enjoy being in front of clients and leading the conversation, rather than working in the background - You are comfortable in front of C-level executives: you can structure a difficult discussion, moderate a room of senior stakeholders and hold your own when challenged - Strong problem-structuring and business case skills; you can quantify the value of a use case and explain it to a CFO - Technical understanding: you can discuss how our platform works with engineers and translate it for business leaders - You take ownership of outcomes, not just recommendations, and you are motivated by building revenue and long-term client relationships. High ownership, but a team player, not a lone wolf - Fluent in German and English, written and spoken - Based in Munich or Berlin (Frankfurt or London possible) and happy to travel frequently across Germany, Austria and Switzerland. This is not a remote role: you will regularly work on-site with clients, for example in workshops Ideal Qualifications (but not required) - Experience beyond consulting, for example in an industry or in-house role - Existing network among senior decision-makers at DACH insurers, insurance consultancies or core system vendors - Experience in an enterprise software, insurtech or AI company, for example in a commercial, strategy or business development role - Hands-on familiarity with how insurers run claims, underwriting or pricing, and with the regulatory context (BaFin, Solvency II, EU AI Act) - Experience speaking at industry events or publishing on insurance and AI topics What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package, with a predominantly fixed salary and a performance-based bonus. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

• Own the visual quality of game locations from blockout to final polish, ensuring they support gameplay, atmosphere and narrative. • Set up Level Art workflows, documentation and production standards from the start of the project.

- Onboarding staff for various company departments. - Handling the entire hiring process: drafting employment contracts and ensuring compliance with Cypriot labor laws.

Location: Remote, Worldwide Workplace: remote As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.     MAIN RESPONSIBILITIES - Performing Translations / Review and quality assurance (QA) of Punjabi translation Tasks. - Performing copy-editing and linguistic checks to ensure accuracy, consistency, and style adherence. - Providing feedback to translators and freelancers to improve overall quality. - Managing and maintaining language assets (glossaries, style guides, work instructions), ensuring they are accurate, consistent, and up to date. - Managing and responding to linguistic queries from translators, project managers, etc. - Ensuring smooth collaboration within the translation team by clarifying terminology, style, and linguistic issues. - Supporting the onboarding, development, and training of new linguists and freelancers when required. - Participating in the development of new and improved review and quality processes. - Meeting or exceeding quality and productivity KPIs as defined for the role. - Achieving the goals set by the Squad Lead / Language Lead.   REQUIEREMENTS Education Level - University degree in Translation, Applied Languages, Linguistics, or an equivalent combination of education and experience.   Experience - 3+ years of experience in translation, review, or localization. - Native fluency in Punjabi Language. - Fluency in English (written and spoken). - Solid understanding of the localization process and review workflows. - Proficiency in standard software (Windows, MS Office). - Hands-on experience with CAT tools (e.g., XTM, SDL Studio, PolyGlot, MateCat, ATMS, fbCAT etc.) and query/issue management tools (e.g., JIRA). - Ability to quickly learn and adapt to new localization tools.   Skills - Strong attention to detail with excellent review and editing skills. - Ability to give clear, concise, and constructive feedback to linguists. - Strong communication skills (written and verbal). - Excellent knowledge of terminology management in one or more subject areas. - Ability to work effectively under tight deadlines. - Strong problem-solving skills and ability to handle varied linguistic issues. - Ability and willingness to train and mentor others when required. - Positive approach to client and stakeholder communication. - Ability to work successfully in a virtual, global team.

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for an Engineering Manager to lead Tabby Card Activation team. You’ll combine strong technical expertise with people leadership, acting as a playing coach who stays hands-on with the codebase while driving architectural decisions, engineering excellence and team development. Working closely with Product and other cross-functional teams, you’ll help build scalable solutions that support Tabby Card’s growth, monetization and customer experience. What you’ll bring: 5+ years of backend engineering experience, ideally including 2+ years of Golang (not a must). 2+ years of experience as an Engineering Manager, preferably at a fast-growing fintech or e-commerce company. Experience building scalable, distributed systems and working with high-load architectures. Solid understanding of backend tools and technologies, we use PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and a microservices architecture. Experience integrating third-party APIs and contributing to product development. A passion for writing clean, testable, and maintainable code. A proactive mindset and the ability to work independently. Strong communication skills in English. Responsibilities: Lead large cross-team projects and drive them to production. Stay hands-on as a playing coach: write code, participate in architectural discussions, and contribute to key technical decisions. Review feature designs and ensure non-functional requirements are met. Oversee technical debt management and incident handling. Drive the effective adoption of AI tools and practices across the SDLC and team processes to improve engineering productivity. Contribute to quarterly planning and roadmap definition. Hire, evaluate, mentor, and motivate team members. Build cross-team and cross-functional collaboration to increase efficiency. Foster a results- and business-oriented culture. Monitor key team performance indicators. Ensure process and delivery transparency for stakeholders and partner functions. Optimize processes to improve productivity. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $114,000 — $143,000 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,000 — $190,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Ukraine; Bulgaria; Latvia; Hungary; Lithuania; Bosnia & Herzegovina; Estonia; Serbia; Poland; Türkiye; Romania; Slovakia Workplace: Remote Location: Fully Remote (CET) Start Date: ASAP Language: Fluent English required Type: Full-time (Contractor) - 3 months contract to start   ABOUT THE OPPORTUNITY Pragmatike is recruiting on behalf of a fast-growing AI consumer technology company seeking a Product Manager – Growth to drive user acquisition, activation, retention, and monetization across a product used by millions of people worldwide. This role is ideal for a product manager who thrives at the intersection of product, data, experimentation, and growth. You'll work closely with engineering, design, marketing, and leadership to identify growth opportunities, launch experiments, and optimize the customer journey from first interaction through long-term engagement. You'll play a key role in shaping product strategy while owning initiatives that directly impact business growth and user experience.   WHAT YOU'LL DO - Own the product growth roadmap across acquisition, activation, retention, referral, and monetization. - Design, prioritize, and execute experiments to improve key product and business metrics. - Partner closely with engineering, design, marketing, data, and leadership to deliver growth initiatives. - Analyze user behavior and product performance to identify opportunities for optimization. - Define product requirements, success metrics, and rollout strategies for new features. - Improve onboarding flows, subscription conversion, engagement loops, and user retention. - Work alongside performance marketing teams to optimize acquisition funnels and post-install experiences. - Monitor experiment results, iterate quickly, and scale successful initiatives. - Communicate product strategy, priorities, and outcomes across cross-functional teams.   WHAT WE'RE LOOKING FOR - 4+ years of experience as a Product Manager, with a strong focus on growth or consumer products. - Experience driving measurable improvements across acquisition, activation, retention, or monetization. - Strong analytical skills with the ability to make product decisions based on data and experimentation. - Experience defining and evaluating A/B tests and product experiments. - Deep understanding of consumer product metrics, including activation, conversion, retention, engagement, LTV, and CAC. - Experience collaborating closely with engineering, design, marketing, and data teams. - Comfortable working in fast-paced startup environments with high ownership. - Experience using AI tools to improve product discovery, research, documentation, or decision-making. - Excellent communication skills and fluent English.   NICE TO HAVE - Experience with subscription-based mobile or consumer applications. - Background in AI, social, communication, or consumer technology products. - Experience working alongside paid acquisition and performance marketing teams. - Familiarity with SQL, product analytics platforms (Amplitude, Mixpanel, GA4), and experimentation frameworks. - Experience launching products at global scale. - Startup or high-growth technology company experience.   WHY JOIN? This is an opportunity to help shape the growth strategy of one of the world's most innovative AI consumer products. You'll own initiatives with direct business impact, work alongside experienced product and engineering leaders, and have the autonomy to rapidly experiment, learn, and scale features that reach millions of users globally. The company offers competitive compensation, flexible working hours, generous vacation policies, a fully remote work environment, and the opportunity to influence the future of AI-powered consumer experiences. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Workplace: remote Requirements 5+ years of hands-on data engineering experience, including delivery and support of production data solutions Practical experience with both Snowflake and Databricks Strong SQL and Python skills, including hands-on experience with PySpark Experience using dbt to develop, test, and maintain data transformations Experience designing and deploying cloud data solutions, preferably on Azure Strong data modelling skills, including dimensional modelling and an understanding of Data Vault 2.0 concepts Experience with Git, code reviews, automated testing, and CI/CD Ability to investigate data quality issues and troubleshoot pipeline failures and performance problems Experience working directly with clients or multiple stakeholder groups Ability to work effectively in agile and startup environments, adapting to changing priorities and evolving requirements Strong critical thinking and problem-solving skills, with the ability to challenge assumptions, evaluate alternatives, and make evidence-based decisions Ability to work independently, clarify ambiguous requirements, and take ownership of delivery Nice to have Experience with change data capture, streaming, or event-driven processing Experience with infrastructure as code, such as Terraform Experience with AWS in addition to Azure Snowflake or Databricks certifications Experience mentoring engineers or leading technical delivery Familiarity with BI tools such as Power BI, Tableau, or Looker Responsibilities Work with client stakeholders to understand business needs, assess existing systems, and define technical requirements Contribute to solution design, explaining technical options, trade-offs, and implementation effort Design, build, and maintain production ETL/ELT pipelines integrating databases, APIs, and file-based sources Develop data models and transformation workflows that support analytics and business processes Implement incremental loading, data validation, error handling, monitoring, and recovery mechanisms Improve pipeline performance and manage compute and storage costs Apply data security and governance practices, including access control and protection of sensitive data Use version control, code reviews, automated testing, and CI/CD to deliver maintainable solutions Create technical documentation and support knowledge transfer to client teams Support project estimation and planning, raise delivery risks, and mentor other engineers We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

- Onboarding staff for various company departments. - Handling the entire hiring process: drafting employment contracts and ensuring compliance with Cypriot labor laws.

Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Advanced Customer Engineer-Level 1 provides the second level of expertise and service to ensure all the Reltio customers get the best possible experience. This position requires an understanding of the Reltio application stack from the front end to the database layers and analysis of break-fix cases and the ability to efficiently investigate and resolve complex issues. Job Duties and Responsibilities: Develop and implement algorithms/techniques for solving problems in a high-volume and high-availability environment. Take complete ownership of knowledge of Reltio Platform features, components, and integrations. Build and implement scalable and accurate monitoring and metric tools and frameworks. Analyze customer needs and software requirements to determine configuration accuracy in solving issues and incidents. Provide quality technical support assistance, resulting in high customer satisfaction. Monitor performance, stability, and consistency of the Platform to facilitate the delivery of well-rounded decision-making in connection with product development and delivery. Resolve customer technical issues through collaboration, reproduction, UI/API/performance debugging, and troubleshooting. Remain abreast of technological advancements to identify cutting-edge and new pragmatic approaches to building sustainable solutions, including applying pragmatic approaches to deliver solutions and fixes to critical customer-facing obstacles. Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues. Learn and keep up-to-date on the latest product functionality, dependencies, underlying architecture, and their operational impact. Gain an understanding of MDM, NoSQL, Data structures, Service architecture, and System design through documentation. Collaborate with support, product management, and core engineering team members to obtain information on project limitations, capabilities, performance requirements, and interfaces. Represent Reltio in Customer meetings as an Engineering expert to provide clear and deep knowledge of customer issues and impacts. Share and develop best practices with team members to enhance the quality and efficiency of customer support and contribute to the knowledge base. Identify opportunities for continuous improvements to Reltio cloud-based platforms (AWS, CGP, and Azure). Participate in a 24x7 on-call rotation and provide after-hours support for critical customer and platform issues. Respond to high-priority incidents within established service level objectives. Support weekend shifts or /on a rotational and/or business-required basis. Other duties and responsibilities as assigned. Skills You Must Have: Bachelor of Science degree  in computer science or equivalent with 5+  years of experience. 2+ years developing on large-scale enterprise systems. Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Understanding of API design principles, authentication mechanisms, and integration. Knowledge of web UI development with JavaScript frameworks. Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology. Experience with NoSQL databases and distributed indexes. Understanding of performance and profiling techniques of complex systems. Hands-on  analytical and troubleshooting skills. 2 years of experience developing Master Data Management (MDM) software with several full life cycle implementations in Reltio Cloud. 2 years of experience with enterprise-focused applications including data management, analytics, and big data platforms and technologies with MDM, AWS, GCP, Azure, Reltio Cloud. 2 years of experience configuring & validating the Comparator, Match tokens, Match & Merge setup, and survivorship rules in MDM on Reltio Cloud. 1 year of experience in using version-controlling software including Bitbucket, VSS, SVN for storing and promoting the code. Skills That Are Nice to Have: Bachelor of Science degree  in computer science or equivalent experience. Object oriented programming and designs, Data Structures and Algorithms. Experience in data management, master data management, analytics, and big data platforms and technologies. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно О продукте Новое направление для ускоренного прототипирования и внедрения AI/ML-решений внутри Магнита. Заказчики — команда стратегии и аналитики. Модель работы: бизнес приносит POC и решения, а мы дорабатываем их до продуктового состояния и запускаем в production. Задачи Развивать ML/AI-компоненты для прикладных бизнес-задач в направлениях классического ML, NLP/LLM, RAG и агентных сценариев, компьютерного зрения, речевых и мультимодальных технологий. Проводить эксперименты по улучшению существующих моделей и сценариев: изменять подготовку данных, архитектуру или параметры моделей, подходы к retrieval и reranking, промпты, логику оркестрации, алгоритмы постобработки результатов. Подготавливать, очищать, размечать и анализировать данные для обучения, дообучения и оценки моделей: текстовые, табличные, изображения, видео, аудио, транскрипты и иные данные в зависимости от решаемой задачи. Разрабатывать и поддерживать пайплайны подготовки данных, обучения, inference и evaluation; обеспечивать воспроизводимость экспериментов, версионирование данных и моделей, логирование результатов. Оценивать качество ML/AI-решений: формировать тестовые и evaluation-наборы, выбирать и рассчитывать профильные метрики, проводить анализ ошибок, выявлять причины деградации качества и предлагать улучшения. Оптимизировать производственные решения по качеству, latency, throughput, потреблению GPU/CPU-ресурсов и стоимости эксплуатации; участвовать в интеграции моделей в прикладные сервисы, релизах и мониторинге после запуска. Требования Высшее техническое образование либо подтверждённый практический опыт разработки и внедрения ML/AI-решений. Опыт коммерческой разработки на Python от 2 лет; для кандидатов с общим опытом разработки от 3 лет допустим опыт в ML/AI от 1–2 лет при наличии практических проектов. Уверенное знание Python и основных библиотек для анализа данных и машинного обучения: NumPy, pandas, scikit-learn; практический опыт работы с PyTorch или аналогичным DL-фреймворком. Знание базовых методов машинного обучения и глубокого обучения: подготовка и анализ данных, обучение и валидация моделей, выбор метрик, борьба с переобучением, анализ ошибок и интерпретация результатов экспериментов. Практический опыт работы как минимум с одним из направлений: классический ML, NLP, LLM/RAG-системы, компьютерное зрение, речевые технологии, рекомендательные системы или мультимодальные модели. Понимание полного жизненного цикла ML/AI-решения: сбор и подготовка данных, разработка и проверка гипотез, обучение или адаптация модели, оценка качества, inference, интеграция в сервис, мониторинг и последующее улучшение. Опыт проведения воспроизводимых экспериментов: фиксация конфигураций, версий данных и моделей, метрик и результатов; знание MLflow, ClearML, DVC или аналогичных инструментов будет преимуществом. Навыки работы с SQL и реляционными базами данных; понимание принципов хранения, выборки и проверки качества данных. Понимание принципов разработки и интеграции сервисов: REST API, JSON, FastAPI или аналогичные фреймворки, обработка ошибок, логирование, тестирование. Базовые практические знания Docker, Linux, Git и CI/CD; понимание особенностей запуска и отладки ML-нагрузок в контейнерах. Понимание принципов работы с GPU и ограничений inference-нагрузок: latency, throughput, потребление памяти, стоимость вычислений. Умение формализовать бизнес-задачу в виде ML/AI-сценария: определить входные и выходные данные, целевую метрику, ограничения, риски, критерии приемки и способ оценки результата. Навыки взаимодействия с Product-, Backend-, Data- и MLOps-разработчиками; умение понятно документировать результаты экспериментов, технические ограничения и ожидаемый эффект от изменений. Условия Трудоустройство в аккредитованную IT‑компанию ДМС со стоматологией и льготными условиями для членов семьи Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе Корпоративные скидки от компании и партнеров, бесплатная подписка Магнит Премиум с повышенным кешбэком по программе лояльности М+ Ежегодная программа признания с ярким праздником и впечатляющим подарком Поддержку в развитии через обучение, конференции и митапы, а также программу для руководителей — Leadership club IT‑комьюнити — среда, где быстрее находишь решения, делишься практиками, пробуешь новые роли и растешь от эксперта в стекe до лидера инициатив Мы являемся партнером Минцифры России по проекту Национальная система подтверждения IT‑компетенций Работа над масштабными продуктами и проектами (Умный магазин, роботизация, беспилотность, GenAI и другое) Социально– психологическая поддержка от >370 специалистов по направлениям: юристы, психологи, врачи, финансовые и ЗОЖ советники Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: Ramat Gan, Israel About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything, in over 500 cities in over 30 countries. In 2022 we joined forces with DoorDash, and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. If you're a self-starter with drive and an entrepreneurial spirit, this could be the ride of your life. About the Role Israel is one of Wolt's most established markets. Arab-Israeli communities, roughly a fifth of the population, are also one of its largest growth opportunities. We have launched in a growing number of Arab towns and cities and seen strong early traction. Our ambition is much bigger: a leading, scaled business in this market, winning consumers, merchants, and couriers in every region where Arab communities live. The Senior Manager, Arab Market Business Lead, takes full ownership of Wolt Israel's business in the Arab market, with end-to-end accountability for strategy, growth, and results across consumers, merchants, and couriers. You will lead the existing Arab market team and serve as the link between Wolt Israel's management and this market, translating what works at Wolt in Israel into what works for Arab-Israeli customers, merchants, and couriers. You will report to the Director of Market Growth, Wolt Israel. What you’ll be doing Business Ownership and Strategy Own the Arab market business plan and its results: users, orders, frequency, merchants, and the economics behind them. Define the strategy: which regions, segments, and categories to prioritize, in what order, and what it takes to win in each. Translate it into clear priorities for each function. Evaluate performance continuously and adjust based on data, the competitive landscape, and growth potential. Run a regular operating cadence (weekly performance review, forecasts, OKRs) and hold teams accountable for delivery. Bring results, risks, and opportunities to Israel leadership, in a form that works for people who don't know the local market. Team Leadership Lead the Arab market team: set expectations, build accountability, develop talent, and add capacity as the business scales. You will lead the sales and account manager teams serving the Arab market, setting commercial priorities, driving performance, and developing the team. Consumers Raise penetration, frequency, and retention, and compete directly for share against strong local players. Merchants Lead acquisition and growth of local restaurants, retailers, and small and medium businesses. Build the commercial offer, onboarding, and ongoing account management that make a small business choose Wolt and grow with us. Open the door to larger chain and enterprise partnerships. Cross-Functional Leadership Work as a peer with Merchant, Marketing, Operations, Supply, Product, Analytics, Finance, and Legal, and align them behind one plan for the market. Work closely with Marketing. You are not the marketing manager, but you set the priorities and direction so that campaigns, messaging, and local community presence turn into measurable growth. Adapt Wolt's Israel playbook to the needs, habits, and expectations of Arab-Israeli customers. Where the playbook doesn't exist, create it. Market and Network Know the market in depth: the differences between communities and regions in the North, the Triangle, Jerusalem, the Negev, and mixed cities. Build and maintain a strong network of community, municipal, business, and civic leaders. Our Humble Expectations 15+ years of professional experience, including 5+ years of people leadership. Fluent Hebrew, Arabic, and strong professional English, with the ability to translate local context for a global audience. A proven record of building or scaling a business line, market, or product from an early stage, ideally in a consumer platform, marketplace, delivery, retail, or e-commerce environment. Hands-on experience with merchants, SMBs, and/or enterprise clients in B2B, and a solid understanding of the platform-to-small-business relationship. Strategic thinking: the ability to see where we need to go, set a plan, prioritize, and drive it to results against clear metrics. Financial and analytical acumen: comfortable managing a business through data, funnels, and unit economics. A strong, credible network in the Arab-Israeli community across several regions, and a deep understanding of how they differ. Experience working closely with Marketing and directing it toward business outcomes. Strong cross-functional leadership: the ability to align and influence without relying on formal authority. A working understanding of how apps and platforms work, and the basics of logistics and delivery operations. An entrepreneurial, ownership-driven approach, with comfort creating new things where there is no existing playbook. Ability to use AI tools to strengthen commercial and operational performance, for example in market analysis, account planning, and ways of working, and to drive AI adoption across your team. Hands-on experience with tools such as Claude is a plus. A degree in business, economics, or a related field and experience in a global or matrixed organization are an advantage. What’s in it for you 🚀 Global and growing fast: be part of a fast-moving scaleup backed by DoorDash. 🤩 Ride of a lifetime: build a new market from the ground up and accelerate your career. 💪 Instant impact: take ownership and make a visible difference. 💙 Big hearts and small egos: work with smart, friendly people. Next Steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, apply with your CV and let's get the conversation going. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong The Role As a Lead Software Engineer in Test (SDET) at Nex, you will build the test engineering capability within Platform Software Engineering that helps us ship reliable Nex Playground experiences. You will define and implement an automated test strategy spanning device software, cloud services, and hardware-integrated systems. From functional and regression testing to sustained device stress and cloud-scale load, you will design and build the tools, practices, and feedback loops that help engineers find problems early and release with confidence. You will lead through technical judgment, hands-on execution, and collaboration, and drive practical AI adoption in your work. Success Looks Like Teams can rely on fast, maintainable automated tests to detect meaningful regressions throughout development and release. Device software, hardware-integrated systems, and cloud services are tested under realistic conditions, including sustained stress and load at scale. Engineers can see test coverage, reliability trends, and release risks clearly, and use that information to improve products and test effectiveness. Test tools and methods continuously improve, and platform engineers can design and build more testable systems. What You'll Do Test strategy and technical leadership Own and evolve the automated test strategy for Platform Software Engineering. Prioritize coverage based on product risk and drive a high level of meaningful automated test coverage. Define test approaches, quality criteria, and release feedback with platform engineers working on device software and cloud services. Review and improve vendors’ test strategies and coverage, identify gaps, and work with vendors to address them. Research, evaluate, and develop new testing techniques and tools that improve coverage, speed, and confidence. Drive responsible, practical AI adoption in test design, automation, analysis, and engineering workflows, while maintaining human judgment and verification. Automation and test infrastructure Develop and operationalize functional, stress, and regression testing for software and hardware products, using both software-based and hardware-integrated techniques. Develop and operationalize cloud service load testing using synthetic workloads and data at scale; identify bottlenecks, failure modes, and regressions. Design, build, and evolve reusable test frameworks, harnesses, fixtures, and infrastructure that support reliable, repeatable testing across system boundaries. Keep automated testing integral to CI/CD, with actionable feedback that engineers can use throughout development and release. Improve product testability through better instrumentation, API design, separation of concerns, and effective use of mock objects and test data. Define and track metrics, reports, and dashboards that show test coverage, effectiveness, reliability, and trends over time. Engineering collaboration Partner with platform engineers to embed quality and testability into design and delivery rather than treating testing as a final gate. Work with platform engineers to investigate failures, identify root causes, and turn findings into product and test improvements. Raise the engineering bar through design reviews, technical guidance, mentoring, and sharing test practices, tools, and findings with platform engineers. Must Have Experience setting technical direction for test engineering across teams and independently delivering work from strategy through implementation and iteration. Strong hands-on software engineering skills, with experience designing, building, and maintaining automated test frameworks and infrastructure used by engineering teams. Experience defining and delivering test strategies for complex software systems, including functional, regression, and stress or reliability testing. Experience testing cloud services under load, including generating representative workloads and data and investigating performance or scalability bottlenecks. Experience integrating automated tests into CI/CD and improving the reliability, speed, and usefulness of test feedback. Strong understanding of software design for testability, including instrumentation, APIs, isolation, mocks, and test data. Experience applying AI tools to engineering and testing workflows, with a thoughtful approach to validation and data security. Nice to Have Experience testing connected consumer devices or systems that combine device software, firmware, hardware, and cloud services. Experience with hardware-in-the-loop testing, automated test fixtures, or validation of cameras, sensors, or other hardware modules. Familiarity with Android/AOSP, embedded systems, or device-level debugging. Experience with soak, endurance, fault-injection, or other reliability testing techniques. Experience building products for children and families. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. This is a company-level technical leadership role spanning Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. You will set the multi-year technical direction for the platform, align teams around clear architectural boundaries and standards, and lead major cross-functional initiatives from ambiguous opportunity through durable adoption and measurable impact. WHAT YOU’LL DO - Set and communicate a multi-year technical vision for the Builder Platform, translating company strategy into an executable portfolio across Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. - Lead the architecture and evolution of our Agent Platform, the shared foundation teams across Temporal use to deploy, run, evaluate, govern, and improve their agents and agentic workflows. - Establish and operate our AI Infrastructure, the LLM and MCP gateways every agent and workflow at Temporal runs through, with guardrails, fallback, usage and cost controls, model rollout policies, and clear SLOs. - Implement AI Governance in partnership with Security, Legal, and IT, turning policy into practical controls, approved patterns, and auditability without creating unnecessary barriers. - Architect the agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, and decide which patterns graduate into shared platform capabilities and which stay with the teams that own them. - Own the technical strategy for our Developer Infrastructure (Source Control and CI) and developer tools, including repository standards, access and ownership models, reusable workflows, and CI reliability and cost. - Partner with leaders across Engineering, Product, Sales, and G&A to identify where AI can accelerate work and improve outcomes, and prioritize those opportunities into a company-wide portfolio. - Standardize how Temporal adopts agents and agentic tooling (best practices, paved roads, and enablement), driving adoption across the organization through influence rather than mandate. - Define clear architectural and organizational boundaries across the platform (what is centralized, standardized as a paved road, federated to teams, purchased, or deliberately not built) and make the hard tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Measure the platform on outcomes (adoption, velocity, reliability, and cost), with feedback loops that quantify the productivity it unlocks and shape the portfolio. - Own our customer-zero strategy: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, drive the feedback loop with product leadership, lead our open-source reference architecture for customer platform teams, and represent the strategy with customers, partners, and the broader technical community. - Develop senior technical leaders, create alignment among engineering leads and managers, and make teams more effective without relying on direct authority. - Participate in on-call rotation while leading systemic improvements that reduce operational burden, address risks before they become company-wide problems, and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of setting technical direction and delivering major platform initiatives across multiple engineering teams. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining company-wide best practices and driving adoption across the organization. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with deep expertise in at least one relevant domain (developer infrastructure, distributed systems, AI platforms, or platform engineering) and proficiency across several others. - Experience building and operating internal platforms, developer infrastructure, or agent platforms adopted across a company. - Strong judgment in platform-boundary decisions (what to centralize, federate, standardize, buy, or deliberately avoid building) and in tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Demonstrated ability to influence engineering managers, senior individual contributors, Security, Legal, IT, Product, and business stakeholders, and to turn ambiguous company objectives into architecture, standards, roadmaps, and coordinated execution. - Experience defining outcome-oriented metrics for developer productivity or AI systems (adoption, reliability, quality, cost, and cycle time) and using them to steer a portfolio. - Clear written communication, including documentation and technical strategy that enable self-service and align teams across the company. - Experience establishing governance through paved roads rather than documentation or approval processes alone. - Evidence of making other technical leaders and teams more effective through mentorship, architectural clarity, and consensus building. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. - Experience defining or implementing AI governance, model-access infrastructure, or agent evaluation systems. - Experience managing GitHub configuration, policy, and workflows at organizational scale - Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.