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Location: Ukraine Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We're Looking For:Product Owner to join our No-Code Team and own the Data Management and Business Logic area of the Creatio  platform.As a Product Owner, you will drive the evolution of the capabilities that define how applications work with data and behave, from data sources and business rules to the ability for users to configure and run complex calculations and logical operations without writing code. You will shape how these capabilities become AI-native, so that users, AI agents, and coding agents can model data and define logic through natural language as reliably as through visual no-code tools.Key Responsibilities:Collect and elaborate business requirements from customers, partners, external communities, and internal users.Organize, prioritize, and maintain requirements within the company’s information resources.Define and defend product concepts, including grouping and detailing business requirements, developing go-to-market strategies, creating mockups, collaborating on UX/UI design together with UI designers, preparing presentation materials, drafting user stories, and coordinating with technical writers to document functionality across both internal and public-facing company resources.Conduct market research, including competitor analysis, evaluation of potential integration solutions, and review of reports from leading analytical agencies such as Gartner and Forrester.Lead SCRUM ceremonies with development teams, including Kick-off presentations, Refinement, Planning, Review, and Retrospective sessions.Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations.Provide consultations for internal teams, customers, and partners on customizing the system to address business needs.Organize and conduct training sessions for employees and clients regarding new product releases and functionality updates.Required Skills & Competencies:3+ years of experience as a Product Manager or Product Owner.Strong expertise in product concept development.Proven experience collaborating and integrating with technology partners to deliver joint products and solutions.Experience working with development teams on application architecture and contributing to informed architectural decisions.Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment.Deep understanding of the software development lifecycle (SDLC).Strong analytical skills with the ability to evaluate IT solutions markets and understand user needs and expectations.Practical experience and willingness to operate at both strategic and detailed requirement levels.Strong understanding of technologies and methodologies used to build highly available and high-performance web applications.Hands-on experience independently using AI coding agents to build prototypes, MVPs, or production-ready applications.Strong understanding of modern AI agent architectures, agentic workflows, and the MCP (Model Context Protocol) ecosystem.

Preferred Qualifications:Hands-on experience developing solutions using AI-native application platforms and rapid prototyping tools.Experience designing and implementing business processes, automations, and integrations across CRM, ERP, and other enterprise systems.Familiarity with CRM platforms and related product, operational, or customer experience workflows.Proven ability to leverage modern AI and no-code tools to rapidly validate ideas, build prototypes, and deliver measurable business value.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Who We're Looking For Product Owner to join our No-Code Team. As a Product Owner, you will drive the development of AI-powered application creation capabilities, including no-code application builders and AI-driven software development experiences. You will work on products that enable users to create, customize, and deploy applications using AI agents, coding agents, and modern automation technologies, helping shape the future of AI-native application development. Key Responsibilities Collect and elaborate business requirements from customers, partners, external communities, and internal users. Organize, prioritize, and maintain requirements within the company’s information resources. Define and defend product concepts, including grouping and detailing business requirements, developing go-to-market strategies, creating mockups, collaborating on UX/UI design together with UI designers, preparing presentation materials, drafting user stories, and coordinating with technical writers to document functionality across both internal and public-facing company resources. Conduct market research, including competitor analysis, evaluation of potential integration solutions, and review of reports from leading analytical agencies such as Gartner and Forrester. Lead SCRUM ceremonies with development teams, including Kick-off presentations, Refinement, Planning, Review, and Retrospective sessions. Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations. Provide consultations for internal teams, customers, and partners on customizing the system to address business needs. Organize and conduct training sessions for employees and clients regarding new product releases and functionality updates. Required Skills & Competencies 3+ years of experience as a Product Manager or Product Owner. Strong expertise in product concept development. Proven experience collaborating and integrating with technology partners to deliver joint products and solutions. Experience working with development teams on application architecture and contributing to informed architectural decisions. Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment. Deep understanding of the software development lifecycle (SDLC). Strong analytical skills with the ability to evaluate IT solutions markets and understand user needs and expectations. Practical experience and willingness to operate at both strategic and detailed requirement levels. Strong understanding of technologies and methodologies used to build highly available and high-performance web applications. Hands-on experience independently using AI coding agents to build prototypes, MVPs, or production-ready applications. Strong understanding of modern AI agent architectures, agentic workflows, and the MCP (Model Context Protocol) ecosystem. Preferred Qualifications Hands-on experience developing solutions using AI-native application platforms and rapid prototyping tools. Experience designing and implementing business processes, automations, and integrations across CRM, ERP, and other enterprise systems. Familiarity with CRM platforms and related product, operational, or customer experience workflows. Proven ability to leverage modern AI and no-code tools to rapidly validate ideas, build prototypes, and deliver measurable business value. What to expect from us Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Poland Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows, achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We're Looking For:Product Owner to join our No-Code Team and own the Data Management and Business Logic area of the Creatio platform.As a Product Owner, you will drive the evolution of the capabilities that define how applications work with data and behave, from data sources and business rules to the ability for users to configure and run complex calculations and logical operations without writing code. You will shape how these capabilities become AI-native, so that users, AI agents, and coding agents can model data and define logic through natural language as reliably as through visual no-code tools.Key Responsibilities:Collect and elaborate business requirements from customers, partners, external communities, and internal users.Organize, prioritize, and maintain requirements within the company’s information resources.Define and defend product concepts, including grouping and detailing business requirements, developing go-to-market strategies, creating mockups, collaborating on UX/UI design together with UI designers, preparing presentation materials, drafting user stories, and coordinating with technical writers to document functionality across both internal and public-facing company resources.Conduct market research, including competitor analysis, evaluation of potential integration solutions, and review of reports from leading analytical agencies such as Gartner and Forrester.Lead SCRUM ceremonies with development teams, including Kick-off presentations, Refinement, Planning, Review, and Retrospective sessions.Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations.Provide consultations for internal teams, customers, and partners on customizing the system to address business needs.Organize and conduct training sessions for employees and clients regarding new product releases and functionality updates.Required Skills & Competencies:3+ years of experience as a Product Manager or Product Owner.Strong expertise in product concept development.Proven experience collaborating and integrating with technology partners to deliver joint products and solutions.Experience working with development teams on application architecture and contributing to informed architectural decisions.Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment.Deep understanding of the software development lifecycle (SDLC).Strong analytical skills with the ability to evaluate IT solutions markets and understand user needs and expectations.Practical experience and willingness to operate at both strategic and detailed requirement levels.Strong understanding of technologies and methodologies used to build highly available and high-performance web applications.Hands-on experience independently using AI coding agents to build prototypes, MVPs, or production-ready applications.Strong understanding of modern AI agent architectures, agentic workflows, and the MCP (Model Context Protocol) ecosystem.

Preferred Qualifications:Hands-on experience developing solutions using AI-native application platforms and rapid prototyping tools.Experience designing and implementing business processes, automations, and integrations across CRM, ERP, and other enterprise systems.Familiarity with CRM platforms and related product, operational, or customer experience workflows.Proven ability to leverage modern AI and no-code tools to rapidly validate ideas, build prototypes, and deliver measurable business value.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Who We're Looking For Product Owner to join our No-Code Team. As a Product Owner, you will drive the development of AI-powered application creation capabilities, including no-code application builders and AI-driven software development experiences. You will work on products that enable users to create, customize, and deploy applications using AI agents, coding agents, and modern automation technologies, helping shape the future of AI-native application development. Key Responsibilities Collect and elaborate business requirements from customers, partners, external communities, and internal users. Organize, prioritize, and maintain requirements within the company’s information resources. Define and defend product concepts, including grouping and detailing business requirements, developing go-to-market strategies, creating mockups, collaborating on UX/UI design together with UI designers, preparing presentation materials, drafting user stories, and coordinating with technical writers to document functionality across both internal and public-facing company resources. Conduct market research, including competitor analysis, evaluation of potential integration solutions, and review of reports from leading analytical agencies such as Gartner and Forrester. Lead SCRUM ceremonies with development teams, including Kick-off presentations, Refinement, Planning, Review, and Retrospective sessions. Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations. Provide consultations for internal teams, customers, and partners on customizing the system to address business needs. Organize and conduct training sessions for employees and clients regarding new product releases and functionality updates. Required Skills & Competencies 3+ years of experience as a Product Manager or Product Owner. Strong expertise in product concept development. Proven experience collaborating and integrating with technology partners to deliver joint products and solutions. Experience working with development teams on application architecture and contributing to informed architectural decisions. Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment. Deep understanding of the software development lifecycle (SDLC). Strong analytical skills with the ability to evaluate IT solutions markets and understand user needs and expectations. Practical experience and willingness to operate at both strategic and detailed requirement levels. Strong understanding of technologies and methodologies used to build highly available and high-performance web applications. Hands-on experience independently using AI coding agents to build prototypes, MVPs, or production-ready applications. Strong understanding of modern AI agent architectures, agentic workflows, and the MCP (Model Context Protocol) ecosystem. Preferred Qualifications Hands-on experience developing solutions using AI-native application platforms and rapid prototyping tools. Experience designing and implementing business processes, automations, and integrations across CRM, ERP, and other enterprise systems. Familiarity with CRM platforms and related product, operational, or customer experience workflows. Proven ability to leverage modern AI and no-code tools to rapidly validate ideas, build prototypes, and deliver measurable business value. What to expect from us Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: United Kingdom; Canada; United States; North Macedonia; Spain; Colombia About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring a Low-Code / No-Code Automation Engineer to design, build, and optimize the company’s internal systems architecture. This is a hands-on builder role—not a coordinator or task executor. You’ll be responsible for connecting tools, automating workflows, and building scalable infrastructure that enables the business to grow efficiently. If you’re someone who enjoys eliminating manual work, thinking in systems, and building clean, reliable automations from scratch—this role is for you. Key Responsibilities Design and maintain advanced Google Sheets systems for tracking, reporting, and automation Build and manage multi-step automations using Zapier and/or Make Implement and troubleshoot API integrations, webhooks, and tool connections Structure and optimize Notion as an internal knowledge base and workflow hub Create and refine AI-powered workflows using tools like ChatGPT and Claude Identify operational bottlenecks and proactively build automation solutions Document systems and processes to ensure scalability, clarity, and long-term usability Requirements Strong, hands-on expertise in Google Sheets (advanced formulas, automation logic, structured data systems) Proven experience building workflows in Zapier and/or Make (Integromat) Solid understanding of APIs, webhooks, and system integrations Experience structuring Notion for operational clarity and scalability AI-native mindset with experience building workflows using ChatGPT, Claude, and similar tools Entrepreneurial mindset — not a VA or agency operator, but someone who wants to go deep and grow with the company Ownership-driven and proactive — able to build systems without step-by-step instruction Strong problem-solving ability with a focus on efficiency and scalability Experience designing full-stack operational systems in early-stage companies Background in revenue operations, growth automation, or internal tooling Experience connecting CRM, marketing, and fulfillment systems through automation Passion for continuous optimization and building scalable infrastructure Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself. Responsibilities Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale Partner with research leads to translate ambiguous research questions into durable engineering solutions Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health You may be a good fit if you: Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction Are a power user of agentic coding tools with deep intuition about model capabilities and limitations Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both Strong candidates may also have experience with: Designing or scaling eval/evaluation frameworks for ML systems Reinforcement learning infrastructure or training systems Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm Research computing, scientific infrastructure, or developer platforms at scale A strong quantitative foundation (math, physics, or related fields) Expertise in Python and TypeScript The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London; Europe; New York; Paris; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. Key responsibilities: - Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. - Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms - Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users - Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs. Qualifications: - A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). - Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development - Hands-on experience with frontier LLMs and their applications in code generation or automation. - Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. - Experience with distributed systems, cloud infrastructure, and scalable architectures. - A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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 Spotware Systems is looking for a Fullstack Developer (PHP + React) to modernize the backend of a payment cashier and build the frontends of a consumer trading client area and broker back-office products — working on a strict design system with AI-assisted development. Responsibilities Reengineer the existing PHP backend of the payment cashier into a market-ready product — refactoring and extending it, not rewriting from scratch. Build and maintain the React frontends of the products — a consumer trading client area and broker-facing back-office tools. Assemble screens from a shared component library, and grow that library together with the product designer. Work from the analyst’s specifications and agree API contracts with the backend developers. Estimate work, plan it with the team, and deliver against the agreed plans. Hold release quality together with QA. Use AI-assisted development as the default way of working on both the PHP and React sides. Maintain the current versions of the products until the new ones fully replace them. Requirements 5+ years of production development with strong PHP — comfortable working inside an existing codebase, modernizing it, and bringing it to product quality. Solid React (TypeScript welcome) — consumer web apps and data-heavy admin interfaces built from a component library. API and integration literacy — REST APIs, webhooks, and event flows; exposure to payment integrations is a strong plus. Design-system discipline — works within a strict component system and extends it deliberately, instead of producing one-off screens. AI-native development — uses AI coding tools as the default way of producing and reviewing code, with the judgment to know their limits. Domain exposure to fintech, payments, trading, or brokerage is a plus. Soft skills: self-sufficient and reliable owner of their area; prioritizes well, communicates trade-offs early, and escalates before deadlines slip. Russian English (B1+). Nice to Have Experience with WebSockets Benefits Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including accommodation, banking, healthcare, and everyday guidance. Comfortable office environment with fresh fruit every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Cyprus Spotware Systems is seeking an experienced Senior QA Engineer (Full stack) to join our dynamic and highly professional product team in our Limassol office (or remote). This role involves working closely with product managers and developers to ensure our products are robust, scalable, and meet high-quality standards. You will be involved in functional testing, customer scenario testing, stress testing, performance testing, sanity testing, enhancing the automation processes, and the overall QA improvement process. Key Responsibilities: Conduct thorough requirements analysis and collaborate with cross-functional teams to understand technical specifications. Perform manual/automate functional/non-functional testing. Identify, track, and report bugs, ensuring they are resolved promptly with clear root cause analysis. Monitor and maintain test environments to ensure stability and efficiency in test execution. Contribute to and execute test strategies for complex systems with high availability and reliability requirements. Collaborate in code reviews to maintain high quality across automated tests and production code. Requirements: 5+ years of experience in Quality Assurance, specifically in backend projects. 2+ years of experience in troubleshooting Java applications. Proficiency in Java programming for test automation development. Solid knowledge of testing methodologies and test design techniques (e.g., boundary value analysis, equivalence partitioning, state transition testing). Experience in designing and maintaining test cases in Allure TestOps, including traceability to requirements and test reporting. Hands-on experience with microservices architecture and event-driven architecture, including understanding of inter-service communication, message brokers, and asynchronous processing. Proven experience testing TCP socket-based integrations (e.g., WebSocket, gRPC). Strong analytical skills with the ability to perform impact analysis, create traceability matrices, and work with both functional and non-functional requirements. Experience in identifying root causes and understanding issue consequences within complex backend environments. Good working knowledge of SQL for validating backend data and queries. Linux systems knowledge (CLI) for troubleshooting and test environment maintenance. Excellent communication skills with a strong command of English (B1 or above) and Russian. You use AI not just occasionally, but as a core part of how you think, work, and deliver results. Being AI-augmented is part of what makes you a top performer. Preferred Qualifications: Familiarity with binary protocols (e.g., FIX). Hands-on experience with Databases like PG, Clickhouse Hands-on experience with messaging and caching systems like Kafka, Redis Experience in the Forex industry or trading platform knowledge. Conditions: Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Cyprus Spotware Systems is looking for a Senior Technical Writer to join our Content & Education Team. We are seeking an experienced technical writer who combines excellent documentation skills with hands-on expertise in AI-driven production, automation and publishing. You will help build scalable workflows that deliver accurate, consistent documentation for complex financial technology products. Responsibilities : Create and maintain clear technical documentation, including user guides, illustrated how-tos and integration manuals. Design and improve AI-assisted documentation workflows, from source research and drafting to review, validation, localisation readiness and delivery. Structure and optimise documentation for AI readability, search visibility and reliable retrieval by agents. Use AI tools and agents to automate repetitive documentation tasks, while verifying technical accuracy against authoritative product sources. Maintain and enhance documentation portals (Docusaurus, MkDocs or similar platforms) and manage content through docs-as-code, Git and review workflows. Collaborate with product, engineering and other stakeholders to turn releases and new features into accurate, timely documentation. Produce release notes and selected B2B/B2C materials, including brochures, white papers and product-video scripts. Establish and apply terminology, style, accessibility and quality standards, including automated checks for accuracy, terminology, style and links. Requirements : Proven experience writing technical documentation for trading, forex, financial technology or similarly complex software products, backed with a strong portfolio. Strong English writing, editing and instructional-design skills. Practical experience with documentation platforms, Markdown, Git and docs-as-code workflows. Hands-on experience using AI assistants, agents, MCP servers, APIs or similar tools into repeatable documentation production and quality-assurance workflows, beyond prompting alone. Ability to evaluate AI-generated output critically, validate claims against product evidence and protect sensitive information. Ability to work independently across teams, prioritise delivery, respond to feedback and improve processes continuously. Conditions : Competitive remuneration reflecting your skills, contribution, and experience. Comprehensive private medical insurance for your peace of mind and well-being. Relocation support package (if applicable) — including visa and work permit arrangements to ensure a smooth move to Cyprus. Welcome Baby Bonus to celebrate life’s most joyful milestones. Birthday Voucher to make your special day even brighter. Fully equipped, modern workplace offering daily fresh fruits, Wednesday breakfasts, Thursday pizza days, and Friday snacks — because great work deserves great food. Sports and wellness benefits, including company-subsidized gym memberships and wellness programs to help you stay active and energized. Support with integration into life in Cyprus, including guidance on local healthcare, banking, and accommodation. Continuous learning and professional growth opportunities, including internal training, conferences, and skill-development initiatives. Greek language classes to help you adapt smoothly to local life and culture.

Location: ., United Kingdom Workplace: remote Here at Scede, we enable scaling companies to achieve hiring success. Since 2013, we’ve built incredible teams for 150+ tech companies and games studios in Europe and North America via our flexible, subscription-based or pay-as-you-go recruitment solutions. We see recruitment as a craft, and focus on the enablement and empowerment of our teams to help us achieve our #1 business objective; to deliver an exceptional service to our customers. Our Talent Partners have hired top talent into the teams of 27 Unicorns, including Klarna, Graphcore, Trustpilot, Mollie and Trade Republic to name a few. As a Talent Partner at Scede, you will either be embedded into one of our live customers, or driving qualified candidate velocity for customers via our innovative new Source service. As our next Talent Partner, you’ll have: A strong track record of achievement in end-to-end recruitment within the Commercial/GTM space. Experience in scaling high-growth start ups through strong delivery. Exceptional communication and collaboration skills, and the ability to build strong relationships. A real appreciation for data, recruiting metrics and continuous improvement. A can-do, positive attitude towards overcoming challenges and finding solutions, with an ‘always learning’ mentality. An agile approach to work, even when working remotely. Knowledge and use of AI to enhance working practices. As a Talent Partner, you can expect to: Own the recruitment journey and all aspects of the candidate experience - sourcing, screening, and guiding great people through the process. Work closely with hiring managers and teams to create a streamlined and unbiased recruitment process that follows best practices. Be creative with sourcing techniques and continuously seek ways to improve. Focus on world class delivery using multi-channel sourcing techniques. Where required, guide your stakeholders through key initiatives including; code reviews, conducting interview training, employer branding, and the development of D&I processes. Monitor and report on key talent acquisition metrics, using data to influence decisions. Perks of working as a Talent Partner at Scede: The autonomy, trust, and flexibility of a 100% remote-first company. You're empowered to work from home or wherever you feel you work best. We've found that a positive work-life balance for all is much more accessible this way. Private medical and dental cover. Discounts and perks across retail, travel, leisure, and entertainment through our benefits platform "Ben" via "Perks at Work". Monthly "Best Self" allowance to invest in something that works for you, such as subscriptions to Spotify or Audible, gym memberships, a meal at your favourite restaurant, and more. On top of 23 days of paid leave (pro rata), you also have your birthday off to celebrate, and 3 extra days off between Christmas and New Year

Location: ., United Kingdom Workplace: remote Here at Scede, we enable scaling companies to achieve hiring success. Since 2013, we’ve built incredible teams for 150+ tech companies and games studios in Europe and North America via our flexible, subscription-based or pay-as-you-go recruitment solutions. We see recruitment as a craft, and focus on the enablement and empowerment of our teams to help us achieve our #1 business objective; to deliver an exceptional service to our customers. Our Talent Partners have hired top talent into the teams of 27 Unicorns, including Klarna, Graphcore, Trustpilot, Mollie and Trade Republic to name a few. As a  Talent Partner at Scede, you will either be embedded into one of our live customers, or driving qualified candidate velocity for customers via our innovative new Source service. As our next Talent Partner, you’ll have: A strong track record of achievement in end-to-end recruitment within the Tech space. Experience in scaling high-growth Tech start ups through strong delivery. Exceptional communication and collaboration skills, and the ability to build strong relationships. A real appreciation for data, recruiting metrics and continuous improvement. A can-do, positive attitude towards overcoming challenges and finding solutions, with an ‘always learning’ mentality. An agile approach to work, even when working remotely. Knowledge and use of AI to enhance working practices. As a Talent Partner, you can expect to: Own the recruitment journey and all aspects of the candidate experience - sourcing, screening, and guiding great people through the process. Work closely with hiring managers and teams to create a streamlined and unbiased recruitment process that follows best practices. Be creative with sourcing techniques and continuously seek ways to improve. Focus on world class delivery using multi-channel sourcing techniques. Where required, guide your stakeholders through key initiatives including; code reviews, conducting interview training, employer branding, and the development of D&I processes. Monitor and report on key talent acquisition metrics, using data to influence decisions. Perks of working as a Talent Partner at Scede: The autonomy, trust, and flexibility of a 100% remote-first company. You're empowered to work from home or wherever you feel you work best. We've found that a positive work-life balance for all is much more accessible this way. Private medical and dental cover. Discounts and perks across retail, travel, leisure, and entertainment through our benefits platform "Ben" via "Perks at Work". Monthly "Best Self" allowance to invest in something that works for you, such as subscriptions to Spotify or Audible, gym memberships, a meal at your favourite restaurant, and more. On top of 23 days of paid leave (pro rata), you also have your birthday off to celebrate, and 3 extra days off between Christmas and New Year

-погружаться в процессы, данные и бизнес-логику клиентского подразделения. -общаться с заказчиками и пользователями, уточнять потребности и формулировать техническое решение.

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: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 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: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 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: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 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 As Senior Product Manager for Compliance , you’ll own the platform that decides who can drive, deliver, and use inDrive across 47 countries—directly impacting user safety, regulatory posture, and bottom-line risk. You will lead the transformation of our driver compliance tools into a scalable Compliance Platform capable of supporting new business lines, global audits, and strict data privacy standards while powering regional expansion today. Key Responsibilities Set Compliance Strategy: Own the long-term vision and strategy for compliance at inDrive. Secure leadership commitment to it. Own the Compliance Product: Own end to end the product that decides who can take orders on inDrive: document requirements by market, document processing, and access control. Support Regional Compliance: Own how requests from regional compliance teams are taken in and prioritized against regulatory risk and business impact. Launch Markets and Requirements: Be accountable for compliance readiness of new country launches and new regulatory requirements. Reduce Compliance Incident Costs: Own the cost of compliance incidents, including fines, suspensions, and mass access restrictions. Build for Audit and Privacy: Make sure the product meets local data-protection laws and regulatory audit requirements. Drive Cross-Functional Delivery: Align roadmaps across Regional Compliance, Legal, Operations, Risk, Engineering, and leadership. Skills, Knowledge and Expertise Product Experience: 5+ years of product management experience at high-volume platforms (Ride-hailing, On-Demand Marketplaces, FinTech, or Logistics), with a focus on platform or internal products that other teams and services depend on. Rules-Driven Products: Experience building products where external or policy requirements set the logic, such as compliance, risk, Trust & Safety, payments or tax. Experience working directly with legal or regulatory teams is a plus. Records & Lifecycle: Experience with products that manage accounts, documents and their statuses over time, such as onboarding or account management, where data quality and decision history matter. Multi-Market Launches: Experience launching or adapting products across several countries with different local requirements. Platform Evolution: Experience moving a live system onto a new platform without disrupting operations, and turning repeated one-off requests into configurable solutions. Systems Literacy: Ability to partner closely with engineering teams on data models, integrations and rules configuration without needing to write code yourself. Data & Business Acumen: Highly analytical, with experience making trade-offs between risk, lost supply and cost. Stakeholder Management: Experienced in leading alignment across business, operational and technical teams and leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). 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 inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 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 starting from 59 200 EUR gross Final benefits may vary depending on the location.