Вакансии

Опыт мобильной разработки или интеграций с мобильными приложениями: iOS, Android, React Native, Flutter, Mobile Backend, push, deep links, auth flows. Уверенный Full-stack опыт: backend, frontend, API, интеграции, работа с данными.

Onboard a new hire at a fast-growing startup: provision their Mac, set up their Google Workspace or Microsoft 365 accounts, enroll the device in MDM, and make sure day one feels effortless. Offboard a departing employee cleanly — recover the laptop, revoke access, and close the loop so nothing's left dangling.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Storage decides how fast agent sandboxes start and how safely they share data. Agents need a filesystem that thousands of sandboxes mount at the same time, with strict isolation and the consistency agents need. Agent context is mostly small files, so the access patterns look very different from storage built for large files. The Agent Infra team builds Agent Drive, the distributed filesystem that agent sandboxes mount over FUSE, and the storage underneath it. The work uses tiered caching, replication, content-addressed data, and Linux filesystem internals. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes and Agent Drive filesystem are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. We are building a cloud, not just using one, so storage is designed for many tenants from day one. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. If you care about page cache coherency, FUSE, replication protocols, and content-addressable storage, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and implement core Agent Drive features: metadata replication, volume placement, garbage collection, and FUSE client behavior - Solve multi-attach correctness: cache coherency across many FUSE mounts of the same drive, dentry and inode invalidation, write ordering, and crash consistency - Optimize tail latency on read and write paths, including page cache strategy, writeback, prefetch, and metadata RPC batching - Build tenant isolation into the storage layer, including quota enforcement, blast-radius containment, and noisy-neighbor mitigation - Own the storage side of sandbox startup and resume performance - Build durable block storage for sandboxes alongside other Baseten storage teams - Build observability into every layer, drive storage incidents end to end, and turn each one into a permanent fix - Contribute upstream to the open-source storage projects we build on REQUIREMENTS - Strong systems programming background in Go, Rust, and/or C/C++, with comfort reading kernel code - Deep understanding of Linux filesystem and storage internals: VFS, page cache, dentry and inode caches, FUSE, the block I/O stack, fsync semantics, and crash consistency - Hands-on experience building distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Experience profiling I/O, memory, and RPC bottlenecks and optimizing tail latency in production - Ability to debug correctness bugs that only show up under concurrency or partial failure - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with a distributed filesystem or object store such as JuiceFS, CephFS, or S3-compatible storage, or contributions to those projects - Knowledge of consensus and replication protocols (Raft, leader leases, quorum reads) - Experience with snapshot, clone, and copy-on-write filesystem features - Experience operating multi-tenant storage with hard isolation requirements - Familiarity with Linux performance tooling such as eBPF, io_uring, perf, ftrace, and blktrace BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

- разработка новой функциональности ПО для создаваемых компанией устройств на архитектуре AArch64,. - устранение актуальных проблем ПО.

Подготовка и настойка тестового окружения (Linux, Windows, MacOS, iOS, Android). Выполнение ручного тестирования продуктов (десктопные и мобильные приложения, утилиты, плагин для web-браузеров).

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology and analytics platform help individuals optimize recovery, training, and long-term health. WHOOP is seeking a Product Designer II to join the Design Systems team and help shape the systems that power consistent, high-quality experiences across WHOOP products. As an individual contributor, you'll own and drive meaningful work across the WHOOP Design System, partnering closely with design, engineering, and product teams to build scalable, accessible, and beautifully crafted solutions. You'll play a key role in defining the strategy and architecture of our next-generation design system, driving adoption across teams, and enabling designers and developers to create exceptional member experiences more efficiently. RESPONSIBILITIES: - Own and evolve key areas of the WHOOP Design System, designing and governing foundational elements including design tokens, styles, UI components, patterns, and layout templates with a high degree of craft, consistency, and attention to detail. - Help define the strategy and architecture for the next-generation WHOOP Design System, collaborating with engineering and design partners to build scalable solutions that support web, iOS, Android, and Figma while accounting for platform-specific and localization needs. - Own and maintain Design System Figma libraries, ensuring alignment with production code and established system architecture, while driving education, adoption, and effective use of the Design System across design, engineering, and product teams. - Collaborate with design leadership and cross-functional stakeholders to make informed system decisions, balancing visual quality, technical constraints, accessibility, compliance requirements, product timelines, and the needs of designers, developers, and members. - Contribute to quarterly and annual Design System roadmap planning, identifying opportunities to improve product quality and team efficiency while leveraging AI and emerging tools to accelerate workflows and streamline system development. - Champion design excellence by ensuring Design System elements meet WCAG 2.2 AA accessibility standards, sharing expertise, incorporating feedback, and helping elevate the quality and consistency of experiences across WHOOP. QUALIFICATIONS: - 3+ years of professional experience in product design, including at least 1 year of hands-on experience contributing to and governing a design system. - A portfolio demonstrating meaningful design system contributions, including examples of reusable components, system architecture, or improvements to designer, developer, and end-user experiences. - Strong visual and interaction design skills, with exceptional attention to detail and a demonstrated ability to create polished, accessible, and scalable UI solutions. - Advanced proficiency in Figma, including experience building and maintaining component libraries, variables, styles, and design system documentation. - Strong understanding of design system principles and architecture, with sufficient technical knowledge to collaborate effectively with engineering partners across web and mobile platforms. - Ability to independently drive design work from problem definition through execution, navigating ambiguity, incorporating cross-functional feedback, and balancing competing technical, accessibility, and product requirements. - Strong communication and collaboration skills, with the ability to articulate design decisions, influence stakeholders, and support the adoption of shared systems and standards. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re looking for a Performance Marketing Lead to own paid user growth at Duolingo. You’ll help lead the strategy and team that bring new learners to Duolingo across 100+ markets and multiple products, including language, chess, and math. You’ll be accountable for growing high quality new users efficiently and proving the impact of that spend. You’ll partner with the Performance Marketing leadership team to shape where we invest next. 🧠  You will... Own Duolingo’s paid user growth goals, setting the strategy for acquiring new users who stay and learn. Lead and develop a team of performance marketers, setting a high bar for craft, rigor, and ownership. Run user acquisition across platforms such as Google UAC, Meta, TikTok, AppLovin, and programmatic partners, plus channels in China. You’ll decide where to scale, hold, or pull back as efficiency changes. Measure what user growth spend actually drives, using incrementality testing, saturation analysis, and new user quality metrics such as retention. Build creative testing at scale with agency, creator, UGC, and in house partners, and use results to shape what gets made next. Manage and hold agency and ad tech partners accountable for goals, pacing, and quality of execution. Flex spend with the organic calendar, partnering with Social, Brand, and Country Marketing around product launches, seasonal swings, and viral moments. Partner with Product and Engineering on measurement infrastructure, onboarding for paid users, and tests that connect acquisition to retention. Turn performance into clear recommendations for marketing leadership, including what isn’t working. ✅  You have... 8+ years of experience in performance marketing or paid user acquisition, with a focus on large scale, global mobile acquisition campaigns. 3+ years leading teams of performance marketers. A track record of owning a large, multichannel performance budget and taking channels from test to scale. Hands on experience with incrementality tests, saturation analysis, and LTV and ROAS models. Deep knowledge of the mobile user acquisition ecosystem, including attribution technologies and iOS privacy frameworks such as SKAN. Experience partnering with Product and Engineering teams on performance marketing. The judgment to recommend cutting or reallocating spend when returns don’t support it. Clear, concise written communication, from channel detail to leadership level recommendations. ⭐  Exceptional candidates will have... Experience leading user acquisition for a top subscription based mobile app or a high engagement consumer app with millions of daily users. Experience running acquisition in China or other markets with distinct ad ecosystems. Experience growing users across multiple products or apps. Experience scaling creative through UGC agencies, creator marketplaces, or creator networks. A passion for Duolingo’s mission to make education universally accessible. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $163,200 — $244,800 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: 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. About the role We're looking for a Senior Product Designer to join our BNPL stream and design the merchant side of Tabby's core product. You'll work on the Merchant Dashboard , across web and the mobile app, the place where merchants run their business with Tabby: manage transactions, settlements and invoices, set up in-store and integrations, and use self-service tools. You'll join a newly formed Merchant Experience team with a lot of attention on it and a lot to build: upgrading core dashboard pages, launching new self-service products, running merchant experiments, and rethinking how Tabby works in physical stores. We're looking for someone who thrives on complexity, turns uncertainty into clarity, owns problems end to end, and brings strong product thinking alongside strong craft. Why join Work on the merchant side of Tabby's core BNPL product, in an area that is a current company priority A lot to build: core page upgrades, new self-service products, experiments and a rethought in-store experience Real ownership in a newly formed team: shape how the product and the team work from the start An AI-forward team where design can iterate fast and get close to code A dedicated UX writer and UX researcher to work with What you will be doing Own merchant journeys in the Merchant Dashboard end to end, across web and mobile, from early concept through polished execution Upgrade core dashboard pages such as transactions, settlements and invoices, and design new self-service tools for merchants Design clear, data-dense interfaces that make complex financial and operational information easy to understand and act on Design and iterate on merchant experiments and new features with your Product Manager, and measure what works Help reimagine the in-store experience together with product and engineering Collaborate closely with Product Managers, Engineers and our UX researcher and UX writer to identify and solve key merchant problems Use data, merchant feedback and research insights to inform design decisions and validate hypotheses Partner with designers from other B2B and B2C streams to keep the experience consistent across Tabby, and contribute to the design system Use AI tools in your day-to-day workflow: prototyping, ideation, and moving solutions closer to code Present and advocate for your work to cross-functional and senior stakeholders, ensuring clarity and alignment What you will need Proven experience designing digital products, ideally B2B, fintech, or complex data-rich tools Strong craft skills demonstrated through a portfolio, with excellent Figma skills Comfort designing across both web/dashboard and native mobile (iOS and Android) Strong product thinking: you understand business goals, product logic and user needs, and can explain the reasoning behind your decisions Ability to turn uncertainty into clarity and handle complex flows, states and edge cases A strong level of AI proficiency: you use AI tools on real project work to prototype, explore and move faster Understanding of technical constraints and the ability to collaborate effectively with engineering Confident in your work and strong communication skills, whether you're talking to another designer or a C-level executive Experience applying systems thinking and contributing to shared design systems Autonomy: you operate without close supervision and manage multiple priorities in a fast-paced environment Fluency in English Nice to have Experience in fintech or financial products Experience conducting UX research A strong base in graphic design Experience designing for GCC markets or Arabic/RTL interfaces Comfort working close to code, with interest in contributing to code through AI tools Benefits Locations We hire candidates based within four hours of Dubai time , with remote work available in eligible locations. Depending on your circumstances, we can also discuss an individual relocation plan to our hubs in Armenia, Georgia, Serbia, Poland, and Spain. What you can expect Flexible working hours, coordinated with your team and the needs of your role. Autonomy and responsibility from day one. Opportunities to grow through the quality and impact of your work. Participation in our employee stock option program. We’re committed to an inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals. If this sounds like the right opportunity for you, we’d love to hear from you.

Location: Limassol, Cyprus Workplace: hybrid We are looking for an Application Security Engineer in the AppSec team. As a Senior Application Security Engineer at inDrive, you will own whole areas of our AppSec program, from security requirements and design reviews to controls that work in production. You will work with product, platform and infrastructure teams on new architecture, AI systems and the security of our apps and services. The role fits a hands-on engineer who reviews code and architecture, leads work across several teams and makes security decisions based on data. Key Responsibilities Own one or more areas of the AppSec program end to end, including the plan, the risks and the metrics. Run security design reviews and threat modeling of new features, services and AI systems, and defend security requirements at the architecture committee. Assess the security of web, mobile and API applications and find variants of confirmed vulnerabilities across other services. Coordinate external security assessments and bug bounty findings, from triage and prioritisation with teams to fix verification. Design secure authentication and authorization between users, services and internal tools together with platform teams. Choose, pilot and tune security tools, and keep only those that pay off in real findings. Turn incidents and assessment results into lasting controls, policies and secure defaults for developers. Consult development teams on complex security issues and take shifts in AppSec duty for Critical and High incidents. Skills, Knowledge and Expertise Higher education in IT, preferably in information security. Knowledge of mobile application security on Android and iOS, client-server trust, app integrity and protection against bots and account takeover. Deep knowledge of web and API security, including authentication and authorization flaws, SSRF, injections and business logic issues, and the ability to find variants of a vulnerability class across many services. Strong understanding of identity and access, OAuth 2.0, OIDC, JWT, signing key rotation, mTLS, service-to-service authentication and SSO. Understanding of security risks of AI systems and LLM agents, such as prompt injection, excessive tool permissions and agent access to sensitive data, and practical use of AI in your own security work. Practical understanding of cloud-native infrastructure, Kubernetes, containers, API gateways and AWS. Experience in threat modeling and security design review of new features and architecture. Understanding of vulnerability management and risk, including severity, SLA, compensating controls and risk acceptance. Ability to read and review code in at least one language, preferably Golang. Track record of leading projects with two or more teams from a requirement to a verified fix, and clear written English. Experience with secrets and key management, rotation and response to credential leaks. Nice to have Knowledge of software supply chain security, dependencies, CI/CD pipelines and source control platform hardening. Experience tuning SAST, DAST and SCA tools for precision and judging a tool by noise and cost per real finding. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a QA Tech Lead to join our team. In this role, you will lead QA Operations, drive the development and improvement of quality processes and standards, optimize regression testing, work with quality metrics, and promote automation and AI-powered approaches across QA. You will work closely with Engineering Platform and Product teams to strengthen quality ownership and build efficient, scalable QA processes across the organization. This is a hybrid role, with 2 days per week working from the office in Paphos or Limassol . Key Responsibilities Lead the QA Operations team, including team development and performance management Own and continuously improve regression testing processes for mobile applications Develop product quality processes and continuously improve their efficiency Own quality metrics, analyze trends and identify improvement opportunities Develop defect management, triage and escalation processes for critical issues Define and continuously improve testing guidelines, quality standards and common QA processes Drive the adoption of AI-powered approaches and automation across testing and quality processes Identify and scale opportunities to use AI to improve QA Operations efficiency and reduce manual effort Partner with Engineering Platform and Product teams to improve product quality and strengthen engineering ownership of quality Skills, Knowledge and Expertise 5+ years of experience in Quality Management / QA Lead Experience managing distributed or international teams Strong experience in organizing and optimizing regression testing Experience building, scaling and improving QA Operations processes Hands-on experience working with quality metrics and driving data-informed improvements Experience testing mobile applications on iOS and Android Good understanding of test automation across Unit, API and UI/E2E levels and shift-left testing principles Experience adopting AI tools, AI-assisted testing or other AI-powered approaches in software development and testing processes Ability to identify processes that can be automated or transformed with AI and drive such initiatives through implementation Strong stakeholder management skills and experience working closely with Engineering Platform and Product teams Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 90 700 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Designed search evaluation pipeline before (Datasets preparation, query/index tuning, search system scores) Worked with and customised Learned-To-Rank plugin on OpenSearch to improve ranking Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Intercity covers intercity rides and parcel delivery in 35+ countries across LATAM, MENA, Central and South Asia, and Southeast Asia. Key Responsibilities Develop features for passenger and driver client apps. Work with geolocation, maps, and real-time order statuses. Run A/B experiments, manage feature flags, and implement analytics events. Do code reviews, write tests, and co-design solutions with backend and iOS engineers. Build with AI tools (Claude Code, Copilot) as part of an AI-First approach. Skills, Knowledge and Expertise 3+ years of commercial Android development with Kotlin. Good knowledge of Coroutines, Flow, MVVM/MVI and DI (Dagger/Hilt). Experience with Jetpack Compose. Experience working with multi-module projects and Gradle. Understanding of networking, caching and working with unstable connections. Experience with unit testing. English level: B1+. Nice to have: Experience with maps and geo services, such as Google Maps or 2GIS. Experience with Play Integrity, fake GPS protection or other anti-fraud solutions. Experience with Spec-First or AI-assisted development. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

LemFi is looking for a Senior Performance Marketing Manager to lead paid acquisition, optimise media budgets, and improve campaign measurement.

Location: Chisinau, Moldova We are seeking a Mid-Level Mobile QA Engineer to ensure the quality, reliability, and usability of iOS and Android mobile applications, including FinTech functionalities, through manual testing and an increasing focus on test automation. The role involves planning and executing functional, regression, integration, usability, compatibility, and exploratory testing across mobile devices, operating-system versions, backend services, and third-party integrations. The QA Engineer will also design, develop, and maintain automated tests that provide stable and meaningful coverage of critical user journeys. The Mobile QA Engineer will analyze business and technical requirements, identify risks and acceptance criteria, prepare test scenarios and test data, and communicate defects clearly to developers, business analysts, product owners, and other stakeholders. The role includes planning and tracking quality activities in Jira within an Agile delivery framework. Additionally, the QA Engineer is expected to contribute to release readiness, continuous quality improvement, and shift-left testing practices. The candidate demonstrates solid mobile testing experience, an automation-oriented mindset, attention to detail, and the ability to investigate issues across the mobile application, APIs, backend services, and device environment. Basic Requirements • Ability to understand mobile application architecture, user journeys, business rules, and integrations with backend services. • Capability to plan and execute manual testing independently and to develop or maintain automated tests with limited guidance. • Strong discipline in test design, defect reporting, test evidence, traceability, and quality documentation. • Ability to reproduce, isolate, and investigate defects using logs, API responses, device information, and test data. • Willingness to maintain reusable test cases, automation code, test data, and release-quality documentation. • Familiarity with Agile methodologies (Scrum/Kanban) and cross-functional teamwork. • Understanding of mobile usability, accessibility, performance, network conditions, and device/OS fragmentation. Key Responsibilities Mobile QA Testing Responsibilities • Review requirements, user stories, designs, and acceptance criteria to identify ambiguities, risks, dependencies, and test conditions early in the delivery lifecycle. • Design, maintain, and execute test plans, checklists, test cases, exploratory charters, and regression suites for iOS and Android applications. • Perform functional, integration, end-to-end, regression, smoke, sanity, usability, compatibility, and localization testing. • Validate mobile application behavior across supported devices, screen sizes, operating-system versions, orientations, permissions, and installation or upgrade paths. • Test application behavior under variable network conditions, interrupted sessions, background/foreground transitions, notifications, deep links, and offline or low-connectivity scenarios. • Validate REST APIs, backend integrations, authentication flows, and data consistency using tools such as Postman, Swagger/OpenAPI, or comparable solutions. • Design, develop, execute, and maintain reliable automated tests for critical mobile user journeys using Appium or comparable mobile automation frameworks. • Improve automation coverage, test stability, execution time, reporting, and maintainability while investigating flaky tests and failed runs. • Prepare and manage test data and test environments, including mocks or stubs where appropriate. • Log defects with clear reproduction steps, expected and actual results, severity, evidence, environment details, and relevant diagnostic information. • Perform defect verification, regression impact analysis, root-cause collaboration, and quality sign-off recommendations for releases. • Collaborate closely with mobile developers, backend engineers, business analysts, UX/UI designers, DevOps engineers, product owners, and business stakeholders. Quality, Security & Release Responsibilities • Apply risk-based testing and contribute to quality criteria, test strategy, release gates, and Definition of Done. • Validate secure authentication, authorization, session handling, permissions, sensitive-data exposure, and other relevant mobile security controls. • Integrate automated tests into CI/CD pipelines and review execution results to provide timely feedback on build quality. • Support release validation for development, test, staging, and production environments, including app-store candidate builds when required. • Monitor production quality indicators, logs, crash reports, analytics, and customer-reported issues to identify regression risks and improvement opportunities. • Track and communicate testing progress, coverage, defect trends, residual risks, and release-readiness recommendations. Required Skills & Qualifications • 3+ years of hands-on software testing experience, including practical testing of native or cross-platform iOS and Android applications. • Strong knowledge of software testing principles, test design techniques, defect lifecycle, and risk-based testing. • Demonstrated experience in manual functional, regression, integration, exploratory, and compatibility testing. • Practical experience developing or maintaining mobile UI automation using Appium or a comparable framework. • Working knowledge of at least one programming or scripting language used for test automation, such as Java, C#, JavaScript/TypeScript, Python, or Kotlin. • Experience testing REST APIs and analyzing JSON data, HTTP requests, responses, status codes, and authentication mechanisms. • Experience with Git-based version control and familiarity with CI/CD workflows. • Experience using Jira or a comparable work-management and defect-tracking system. • Strong analytical, troubleshooting, and problem-solving skills, with consistent attention to detail. • Good communication skills and the ability to collaborate across technical and non-technical teams. Preferred Qualifications • Experience with native automation frameworks such as XCTest/XCUITest or Espresso/UI Automator. • Familiarity with cross-platform technologies such as Flutter, React Native, or .NET MAUI. • Experience with device farms and cloud testing platforms such as BrowserStack, Sauce Labs, Firebase Test Lab, or comparable services. • Exposure to performance, accessibility, security, or resilience testing for mobile applications. • Familiarity with log analysis, crash-reporting, monitoring, and analytics tools such as Firebase Crashlytics or comparable solutions. • Experience validating push notifications, deep links, biometrics, payments, or other mobile-specific integrations. • Familiarity with ISTQB practices or relevant testing certifications is considered an advantage. Additional Information • Work environment: Agile, collaborative, cross-functional, with a strong focus on customer experience, product quality, reliability, and continuous improvement. • Location: Office-based or hybrid, depending on project and team needs. • Team structure: Cross-functional mobile product team with direct collaboration across engineering, product, design, business analysis, and operations. Summary This role contributes directly to delivering reliable, secure, and user-friendly mobile applications that support the company’s digital customer journeys. The Middle Mobile QA Engineer will combine disciplined manual testing with sustainable automation, provide clear visibility into product quality and release risk, and help embed quality throughout the mobile development lifecycle.

Location: Москва «Молодёжь» — новое направление HR платформы Пульс, созданное для студентов, которые хотят познакомиться со Сбером, погрузиться в корпоративную культуру компании и подготовиться к будущему трудоустройству. На платформе студенты смогут проходить обучение, участвовать в мероприятиях, знакомиться с возможностями развития и подбирать подходящие для себя вакансии. Продукт помогает выстроить последовательный путь от первого знакомства с компанией до подготовки к будущей работе в её стенах. Обязанности * самостоятельно вести дизайн нового продукта на всех этапах: от проработки концепции до передачи решений в разработку и сопровождения реализации * погружаться в специфику продукта, понимать потребности целевой аудитории и учитывать особенности молодёжного сегмента * проектировать новые пользовательские сценарии и пути с учётом потребностей пользователей и бизнес-задач продукта * анализировать существующие пользовательские пути, выявлять проблемные места и предлагать улучшения * участвовать в формировании и проработке продуктовых гипотез совместно с продуктовой командой * подготавливать макеты и документацию для передачи в разработку, сопровождать реализацию и участвовать в проверке соответствия готового интерфейса дизайн-макетам/ Требования * опыт работы UX/UI-дизайнером от 3 лет * наличие портфолио (ссылка обязательна) * опыт ведения дизайна цифрового продукта * понимание гайдлайнов платформ (WEB, iOS, Android) и принципов адаптивной вёрстки * опыт проектирования пользовательских сценариев и путей * навыки подготовки макетов и документации для передачи в разработку * навыки работы с инструментами AI Условия • современный комфортный офис на м.Кутузовская • гибридный график работы (на период адаптации чаще будет офис) • ежегодный пересмотр зарплаты и годовая премия • уникальная система обучения и повышения квалификации от Сбера • расширенная медицинская страховка, льготы для семьи и корпоративная пенсия • скидки на товары наших партнёров • возможность рекомендовать знакомых в нашу команду.

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE Software Engineers at OnePay build the products & systems that serve our customers and run our company. Besides writing, reviewing, and shipping code, engineers collaborate with others across the company, from product, design, and data to, customer support, ops, and compliance. Software Engineers at OnePay are highly technical, communicative, and emotionally intelligent. This role is responsible for: - Working closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Building and maintaining documentation. As a growing and remote organization, having the necessary docs are key to our success.  - Solving complex problems that arise at scale. We deal with real-world money movement, sensitive financial data at scale, and are creating novel financial mechanics with no real precedent. YOU BRING - 4+ years professional experience building, shipping — and growing — non-trivial products & services. - Professional experience building, shipping — and growing — non-trivial products & services. - We are hiring at all levels of seniority for backend engineers. - Passion for your craft and care for the people you work with. You value quality across code, communication, and culture. - An act-like-an-owner mentality. We have a bias toward taking action. - A desire to keep growing your skills, and an ability to learn quickly. We hope you’ll be here for a while, and there’s no better investment than in our people. - The Triple H Factor: Hungry, Humble, Honest TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.