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Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We’re looking for a Staff Product Designer to join our Retail team in London. This is a hybrid role. In this role, you’ll help us shape the strategic vision for retail delivery, building brand-new shopping experiences and unlocking emerging categories to scale our marketplace. What You’ll Be Doing You’ll be joining the Retail team. Retail is a fast-growing, greenfield area for us beyond core restaurant and grocery delivery, helping people get almost anything delivered locally. Here’s what your day-to-day might look like: Strategic Direction & Product Vision Lead strategic design sprints to establish the foundation and execution plan for our 2027 product vision, defining how distinct retail categories and shopping formats feel. Partner autonomously with Product, Engineering, and Business leaders as a trusted advisor to co-own the product roadmap and decide what we build and why. Craft & Quality Raise the design craft bar across the team by guiding team members, hosting critique sessions, and fostering a culture of high quality and detail. Spot and resolve platform-wide systems challenges—such as accessibility, performance, and UI consistency—at scale across the ecosystem. Culture & Leadership Drive studio-wide initiatives that shape overall design culture, recruitment practices, and the integration of AI into design workflows. What You’ll Need to Thrive End-to-End Design Leadership: Demonstrated ownership of complex, ambiguous product initiatives from greenfield ideas to launch within fast-paced tech environments. Strategic Influence: Proven ability to act as a strategic partner to senior leadership, shaping business strategy and navigating competing priorities. Developing Talent: Demonstrated experience coaching and mentoring designers to level up their craft while supporting autonomous growth. Clear Communication: Proven ability to articulate design rationale clearly to cross-functional stakeholders, from engineering leads to executive directors. Technical Systems Fluency: Strong understanding of how design decisions interact with code, systems architecture, and engineering constraints. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Munich; Warsaw; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade. This is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems: 1. Optimize the inference stack at scale — feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets. 2. Make capacity elastic — scaling up and down should be cheap and fast, not a performance cliff. 3. Power the training of our frontier models — high-performance serving that keeps RL and post-training loops running at full speed.   What You Will Do INFERENCE ENGINE & ORCHESTRATION - Develop and fix the core of the inference stack — engine and orchestrator — including feature selection, configuration, and tuning for maximum performance at scale - Own the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout - Drive improvements and fixes upstream when the open-source engine is the right place for them PERFORMANCE & CAPACITY AT SCALE - Optimize serving efficiency across the fleet — driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading - Optimize and maintain the optimal serving topology — overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing SERVING FOR FRONTIER TRAINING - Build the serving infrastructure that powers RL and post-training for our frontier models - Optimize inference performance across the full spectrum of our workloads   What We're Looking For - Experience building and running ML/LLM services at scale, with clear latency and availability targets - Hands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others - A solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies - Familiarity with distributed and disaggregated serving architectures - Comfortable debugging across the full stack — CUDA/NCCL, kernels, containers, networking, storage - Python for systems tooling and backend services; PyTorch - Kubernetes for running infrastructure at scale - GPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA It Would Be Great If You Have - Demonstrated vLLM/sglang know-how — upstream contributions, or a track record of running in demanding production environments - Hardware-aware optimization for various model architectures - Experience serving MoE models at scale (expert parallelism, expert placement/load balancing) - CUDA/Triton kernel development; Nsight Systems/Compute profiling - Rust and/or C++ in production systems WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role As our 'Engineering Manager - Data', you will lead the engineering team responsible for creating and maintaining core models on our data platform. In this role, you will balance strategic leadership with technical delivery, shaping platform architecture while staying close enough to execution to ensure delivery, stability, and quality standards are met. You will empower and grow senior engineering talent, establish operational standards, and manage risk and dependencies across key quarterly initiatives. Partnering closely with product, platform, and security teams, you will ensure high-quality, scalable data products are delivered to solve meaningful customer problems. The team & how they connect The 'Dataverse' team consists of nine engineers located across Australia, New Zealand, and Canada who build and maintain the core models in our data platform. Working across remote locations, the team collaborates closely to manage cross-team dependencies and maintain continuous alignment. They foster an environment grounded in knowledge sharing, constructive feedback, and empathy for stakeholders. Initially, the role may focus on - Designing and building core models on the data platform using AWS and Snowflake infrastructure. - Streamlining real-time data flows and streaming architecture across platform services. - Leading delivery execution for complex data platform initiatives while managing dependencies and risks. - Coaching senior engineers, elevating engineering standards, and supporting team adoption of DataOps practices. Where and how you can work This role offers flexible hybrid working arrangements based out of our Sydney or Melbourne offices. You can balance remote work with designated office boost days to connect, whiteboard, and collaborate in person with your team. Here are some of the things we're looking for, for this role: - A background in data platform delivery alongside data engineering expertise and data modelling capability. - Practical familiarity with cloud infrastructure like AWS and Snowflake, along with an understanding of real-time streaming technologies and data flows. - Your leadership style combines delivery focus with the technical breadth required to guide architectural decisions and step in hands-on when required. - Proven capability in coaching senior engineers, setting clear expectations, and supporting individual career progression. - Demonstrated proficiency managing platform health, establishing Service Level Objectives, and leading operational performance. - Strong collaborative skills to build trusted relationships across product, platform, and security teams. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Dubai, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: San Francisco, United States Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Money is DoorDash’s organisation responsible for the financial products and infrastructure that enable transactions across DoorDash, Wolt and Deliveroo. The domain owns how consumers pay, how merchants and couriers are paid, and how money is recorded, reconciled and reported, covering payment processing, payment methods, payouts, invoicing, financial ledgers and regulatory compliance. We are looking for a Senior Technical Program Manager to help scale Money Domain. You will lead important engineering wide initiatives across Invoicing Platform, Payment Instruments, amongst others; working with Engineering, Product, Operations, and business leaders to deliver dependable, scalable Money capabilities for the business. Programs will span backend services, partner and merchant integrations, and regulatory / compliance products. They require strong technical judgment, cross organisational coordination, stakeholder management, and ownership of results. You will report into the centralised global Technical Program Management team in Engineering, through a manager based in London. This is a hybrid role based in our London office in Cannon Street. You're excited about this opportunity because you will… Drive Money Domain’s Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Money Domain’s strategy into executable technical programs. Lead Complex Cross-Organization Execution — Money Domain interacts with capabilities across consumer, merchant, courier, order and enterprise domains, payment processing, payouts, fraud and risk, regulatory compliance, accounting, financial data and platform infrastructure. You will establish clear ownership and milestones, surface critical dependencies and tradeoffs, and drive alignment across teams when the path forward is not obvious. Bring Technical Depth and Systems Thinking - You will develop a deep understanding of the architecture, integrations, data flows, and operational systems behind Money Domain (Financial Systems). You will engage in technical designs, identify scaling and reliability risks, understand how decisions in one part of the system affect end-to-end consumer, rider/ courier, and merchant experiences, and help teams make pragmatic tradeoffs. Turn Ambiguity into Strategy and Action - Many of our hardest problems do not begin with a clean scope or a single owner. You will truth-seek across technical and business inputs, frame the problem, clarify the definition of success, develop a point of view on risks and options, and create an execution path that teams and leaders can align behind. Connect Engineering Execution to Business Outcomes - You will understand the merchant, partner, customer, and economic outcomes behind the work and use that context to guide prioritization and execution. We're excited about you because… You’re experienced in working with engineering teams on  large-scale distributed systems and/or b2b products. You can speak to system architecture, scalability and reliability decisions, and design trade offs. You’re a strong leader with the ability to collaborate and build relationships across organizations, bridge gaps between teams, and successfully influence without authority. You have strong ownership, urgency, and drive. You are willing to roll up your sleeves and dive into the details to understand and drive your programs. You have excellent written & verbal communication skills with the ability to communicate with confidence, clarity, and focus. You can convey concepts and considerations to non-experts and experts alike. You’ve engaged with Engineering teams on product & platform development with a thorough understanding of software development processes and project planning. You are pragmatic and detailed in your approach and focus on progress, not perfection. Qualifications Bachelor’s Degree with experience in Computer Science, Software Engineering or other related discipline. 5+ years recent experience as a Technical Programme Manager at a technology/ FinTech company, in Financial Systems. Experience with regulatory compliance in Financial Systems, e.g. SOX, PSD2, or equivalent would be an advantage. Experience in large-scale distributed systems and system architecture. Experience working directly with engineering teams on product development, with a thorough understanding of software development processes, system architecture, and scalability trade-offs. Project planning and execution skills that include reviewing technical design documents, estimating, and scheduling. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Kuala Lumpur Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5,000 specialists. Ajax Systems continues to rapidly expand its footprint across the ASEAN region, building strong local partnerships and scaling its commercial presence in high-growth markets. As part of this strategy, the company recently launched a state-of-the-art manufacturing facility in Hanoi, Vietnam – a key milestone in its global expansion. The 8,300 m² plant produces the full range of Ajax devices and significantly increases production capacity. This investment reflects Ajax’s long-term commitment to the region and creates exciting opportunities to be part of a fast-growing, truly international business shaping the future of security technology.    The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission. Responsibilities: Revenue/customer impact Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients. Analyze customer needs in collaboration with the sales department. Support tender submissions and technical proposals Develop system architecture, bill of materials (BOM), and compliance documentation Support proof-of-concept (POC) deployments and system testing Support sales team with follow from leads in our portal. Strategic partnerships/ growth Develop long-term relationships with key partners of the company. Introduce product roadmaps and new features for Ajax Systems distributors, as well as installers. Ensure solutions align with local regulatory requirements Education Teach technical staff at Ajax Systems distributors and dealers to increase their knowledge of products and technology. Conduct technical seminars, exhibitions, presentations, webinars on the product (for customers and company employees). Expert support Act as escalation point for complex technical issues Assist in troubleshooting high-value or strategic projects Support key enterprise deployments when required Product/ internal contribution Test product features and write technical documentation for new products or solutions, and collaborate with the rest of the team. Market research and comparative characteristics of products of the competitors. Key Requirements: 2 or more years of experience in a similar role within alarm, video surveillance, access control, and home automation fields. Excellent working knowledge of intrusion and IP CCTV and access control systems. Experience in installing/designing video surveillance, fire, intrusion, or other security systems. Experience in public speaking (as an advantage). Strong communication skills. Strong English skills (verbal and written). Availability to travel for business. We Offer: Opportunity to work in one of the most recognized and innovative security manufacturers. Opportunity to take on new challenges, advance your career, and make a meaningful impact. Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas. A zero-bullshit culture.

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE ROLE We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers. You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between. WHAT YOU’LL DO - Create and own the analytics engineering strategy, direction, and goals. - Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous. - Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models. - Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence. - Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance. - Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated. - Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders. - Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team. - Identify and empower technical experts within the existing team to help define and implement engineering standards. - Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions. REQUIREMENTS - Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies. - Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function. - A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. - Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built. - Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions. - Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed. - Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful. - Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool. - Fluent English (business proficiency required) What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. - We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English - To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice   #LI-LK1

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are looking for a Senior SEO Specialist to own product-related SEO tasks from idea through release. You will turn search opportunities into initiatives and tasks for product and engineering, and confirm that what is delivered works as intended. Job Responsibilities Identify technical and on-page SEO issues (crawling, indexing, site structure, redirects, canonicals, internal linking, templates, structured data) and initiate product-related tasks when they block organic performance; Prepare implementation-ready tasks and recommendations: problem, solution, affected templates or URLs, risks, and acceptance criteria; Validate proposed work with the Team Lead and SEO team before it reaches product or engineering; Consult product and development on SEO implications of planned features, template changes, and site architecture; Participate in estimations and groomings so work is sized, sequenced, and specified well enough to build; Analyze search intent, SERP structure, and competitor behavior when it affects product or template decisions; Optimize existing page types and templates for rankings, traffic, engagement, and conversions, including titles, meta descriptions, headings, internal links, page structure, and content; Support content planning with SEO briefs, keyword maps, and optimization guidelines when work touches product surfaces; Plan information architecture and landing-page structure for new product or content surfaces; Specify and, where appropriate, implement structured data; Test implementations after release against agreed acceptance criteria; Monitor performance in Google Search Console, Google Analytics, and in-house reporting tools. Track rankings, traffic, indexing, and trends tied to shipped work, not only site-wide averages; Prepare concise updates: what moved, what did not, and recommended next product or content steps; Stay current with SEO practices and search-engine updates that affect product implementation. You’ll thrive here if you have 4+ years of hands-on SEO across on-page, content, and technical work; Experience working with high-traffic international and multilingual websites; Proven experience turning SEO findings into tickets or requirements that engineering or product teams can implement; Comfort participating in agile delivery: grooming, estimation, clarification, and post-release checks; Strong understanding of keyword research, search intent, SERP analysis, and competitor research; Working knowledge of technical SEO: crawling, indexing, redirects, canonicals, internal linking, site architecture, and template-level changes; Experience with Google Search Console, Google Analytics, crawlers, and other SEO tools; Ability to analyze SEO data and turn it into a clear recommendation, with an expected effect and a way to verify the release; Clear written communication: tickets, briefs, and short performance notes that non-SEO teams can act on; Ability to work independently, manage several workstreams, and raise issues early rather than waiting for a fully specified brief. Nice to have: Experience with programmatic SEO or large-scale template optimization; Familiarity with Looker Studio, BigQuery, SQL, or another reporting stack; Basic scripting (Python or similar) for crawls, log samples, or bulk URL analysis; Familiarity with common CMS or front-end delivery setups; Awareness of generative search / AI results as a measurement context; Experience in SaaS, marketplace, media, or other product-led digital businesses. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 min); Technical interview (1 hour); Test task; Final interview (1 hour). Recommendations check; Job Offer.

What you will own. Take product ideas from problem definition through design, implementation, rollout, and iteration, including experiments that may grow into standalone products.

Location: Australia Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Portugal ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. As a Senior Backend Engineer on Tenant Controls , you'll design, implement, and evolve backend capabilities for a global platform that millions use. You'll solve problems of high scope and complexity, influence technical and product direction, and improve system quality, reliability, and performance beyond assigned feature work. Working across product, frontend, infrastructure, data, and security, you'll make pragmatic architectural trade-offs and partner with product managers and designers to deliver value to users in a remote-first, asynchronous environment. What you’ll do Design and ship moderate to complex backend features with minimal guidance, choosing between modular-monolith code, shared components, and independently operated services. Influence team objectives, technical direction, and long-range goals, partnering with product managers and designers to shape requirements around user needs. Define backend standards for style, maintainability, testing, application programming interfaces (APIs), and operational readiness, advocating for quality, security, availability, and performance. Mentor associate and intermediate engineers, remove technical blockers, and improve delivery practices through code and design reviews. Diagnose and prevent performance and reliability issues at scale, participate in incident response, and act as a technical owner where appropriate. Experiment with and integrate agentic AI into production engineering workflows, evaluate its effectiveness, and coach others on responsible use and sound judgment. What you’ll bring Strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Proficiency in modern backend languages and a deep understanding of systems programming, with the ability to learn and adapt rather than mastery of a single language. Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Ability to lead through influence, technical judgment, and clear asynchronous written communication, connecting product needs with technical decisions and directing your own work. Experience building or operating agentic AI systems in production, including loops, tool use, and error-handling strategies that support reliability at scale, beyond prompt engineering alone. Helpful, but not required: experience with high-throughput distributed systems, concurrency or profiling; containerized production operations (such as Kubernetes); database performance (PostgreSQL, ClickHouse, schema evolution or partitioning); large-scale modular monoliths or event-driven systems; public technical communication, open source maintenance or developer-focused software as a service (SaaS). About the team You'll join Tenant Controls within Production Engineering, where we own application-level rate limiting on GitLab.com. We build the framework that defines, counts, and observes every application rate limit and migrate existing implementations onto it. Our mission is to give GitLab.com a single way to define, configure, and observe these limits, so operators can understand them during an incident and change them without a deploy. The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. Poland base salary range: 272,000zł - 408.000zł How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Key Responsibilities: — Act as a peer and advisor to customer CTOs and CIOs, helping them navigate complex digital transformations and operationalizing the PagerDuty Operations Cloud within their organizations. — Represent PagerDuty as a thought leader at major industry events and through digital content, white-papers, and local media. — Partner closely with Global Product and Engineering leadership in San Francisco to ensure the unique requirements of the US markets are represented in the long-term roadmap. — Provide architectural oversight and executive presence for the most complex, high-stakes enterprise opportunities across the US. — Foster a local community of DevOps and SRE leaders, sharing best practices on operational excellence, incident response, and the ethical application of AI in operations. — Stay ahead of the curve on the competitive landscape, identifying market shifts and technical trends that PagerDuty can capitalize on. Requirements: — 15+ years of experience in technical leadership, solutions architecture, or product management within the SaaS, DevOps, or Cloud infrastructure space. — Proven track record of engaging with and influencing C-level executives at Fortune 500 or equivalent global enterprises, navigating complex organizations. — Proven ability to support and influence sales cycles with a solid grasp of sales processes and customer buying journeys. — Deep domain expertise in at least three of the following: Incident Management, SRE (Site Reliability Engineering), AIOps, Cloud Native Architectures, ITSM/ITIL, or Cybersecurity Incident Response. — Exceptional public speaking and written communication skills. — Ability to travel across the US and occasionally overseas. Preferred Qualifications: — Active involvement in the tech community (mentorship, open-source contribution, or advisory/board positions). — Experience navigating the regulatory landscape for US financial services or government sectors (e.g., FedRAMP) as it relates to cloud resiliency. Conditions: — Remote work based in the USA with location restrictions on certain states and provinces. — Full-time employment. Additional Information: — PagerDuty is an equal opportunity employer. — Provides reasonable accommodations for qualified individuals with disabilities. — Uses the E-Verify employment verification program.

Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for an experienced Senior Manager, Settlement & Reconciliation to lead and enhance our settlement and reconciliation operations across both digital assets and fiat. This role requires more than strong settlement operational experience. The ideal candidate should have a solid understanding of trading and settlement system architecture , including how settlement systems interact with trading platforms, transaction data, custody/banking infrastructure, and finance/accounting systems. The role will serve as a key bridge between Finance, Settlement Operations, Product, Engineering, and other relevant stakeholders , translating settlement and accounting requirements into clear system, data, and reporting requirements. Candidates with experience in traditional financial markets, securities, banking, brokerage, clearing, custody, or other transaction-intensive financial institutions are highly preferred. The successful candidate will build a settlement and reconciliation function that is not only operationally effective, but also system-driven, highly reconcilable, and finance-ready . The individual should be able to understand a transaction from execution through settlement, reconciliation, and ultimately financial accounting, and work across Operations, Finance, Product, Data, and Engineering to ensure that the underlying processes and systems are scalable, controlled, and transparent. What You’ll Be Doing Settlement Operations - Lead and oversee day-to-day settlement operations across digital asset and fiat transactions. - Ensure transactions are settled accurately, completely, and within the required timelines. - Establish and continuously improve settlement procedures, controls, exception handling, and escalation mechanisms. - Identify settlement breaks, operational risks, and process inefficiencies, and drive timely resolution. - Support new products, transaction flows, and business models by assessing their settlement and operational requirements. Settlement System & System Architecture - Develop a strong understanding of the end-to-end settlement system architecture and transaction data flow. - Understand how settlement systems interface with: - Trading systems and order/transaction engines; - Wallet, custody, and blockchain infrastructure; - Fiat banking and payment systems; - Data warehouse and reporting platforms; and - Finance, accounting, and general ledger systems. - Work closely with Product and Engineering teams to define settlement-related system requirements. - Translate operational and finance requirements into clear and actionable data, system, and reporting specifications for Engineering teams. - Define the reports, data fields, transaction-level information, and reconciliation logic required to support settlement operations and financial accounting. - Participate in system implementation, enhancement, UAT, and post-implementation validation from a settlement and finance-control perspective. Digital Asset Reconciliation - Own and oversee Digital Asset (DA) reconciliation , including reconciliation among customer balances, internal ledgers, wallet/on-chain balances, custody records, and other relevant source systems. - Investigate and resolve reconciliation differences, including transaction timing differences, system exceptions, missing transactions, and data inconsistencies. - Work with Product, Engineering, Data, Wallet, and Finance teams to identify root causes and implement sustainable remediation. - Establish appropriate reconciliation controls and monitoring mechanisms to ensure completeness and accuracy of digital asset balances and movements. Fiat Reconciliation - Own and oversee Fiat reconciliation across customer balances, banking/custodian records, payment channels, internal operational systems, and the general ledger. - Ensure customer fiat assets and liabilities can be reconciled to relevant operational and accounting records. - Investigate reconciliation breaks and coordinate with Finance, Fiat Operations, Product, Engineering, banks, custodians, and payment service providers for resolution. - Drive automation and system improvements to reduce manual reconciliation and operational dependency. Customer Transaction Reconciliation - Oversee transaction-level reconciliation covering customer trades, deposits, withdrawals, transfers, settlements, and other relevant transaction activities. - Ensure customer transaction records can be traced consistently across trading, settlement, operational, and accounting systems. - Establish effective exception-management processes for unmatched or incomplete transactions. - Support Finance and external audit requirements by ensuring transaction data and reconciliation evidence are complete, accurate, and traceable. Finance & Accounting Support - Partner closely with Finance to ensure settlement data and reports provide sufficient information for accurate and timely accounting. - Understand how trading and settlement activities ultimately flow into financial records and the general ledger. - Define operational reports and data outputs required by Finance for: - Accounting entries; - Period-end closing; - Balance sheet reconciliation; - Customer asset and liability reconciliation; and - Financial and external audit support. - Identify gaps between operational systems and accounting requirements and work with relevant teams to develop scalable solutions. Process, Control & Team Management - Build and maintain robust settlement and reconciliation SOPs, controls, and governance frameworks. - Drive automation and process improvements to improve settlement efficiency, accuracy, scalability, and control. - Establish key operational metrics and monitor settlement exceptions, reconciliation breaks, aging items, and resolution timelines. - Manage and develop the settlement team, ensuring clear ownership, effective prioritization, and strong execution. - Act as a senior escalation point for complex settlement, reconciliation, and transaction-related issues. - Collaborate effectively with cross-functional stakeholders across Finance, Product, Engineering, Data, Operations, Risk, Compliance, and other relevant teams. What We Look For In You Bachelor’s degree or above in Finance, Accounting, Economics, Business, Information Systems, or a related discipline. Significant experience in settlement, clearing, reconciliation, transaction operations, custody, or related financial operations , with experience in a managerial or senior leadership role. Strong experience with customer transaction reconciliation and transaction-level data analysis . Solid understanding of trading lifecycle and settlement processes. Prior experience in traditional financial institutions , such as banks, securities firms, broker-dealers, exchanges, clearing houses, custodians, payment institutions, or other transaction-intensive financial businesses. Strong understanding of how trading systems, settlement systems, reconciliation platforms, and accounting systems interact . Ability to understand system and data architecture and translate operational or finance requirements into clear requirements for Product and Engineering teams. Strong experience in designing or defining operational reports, reconciliation reports, and transaction-level data requirements. Strong analytical and problem-solving skills, with the ability to investigate complex reconciliation differences and identify root causes. Strong understanding of operational controls, data completeness, accuracy, and transaction traceability. Excellent stakeholder-management and communication skills, with the ability to work effectively with both Finance and technical teams. Strong ownership mindset and ability to operate effectively in a fast-paced and evolving business environment. Nice to Haves Experience in cryptocurrency, digital assets, exchanges, fintech, brokerage, or other high-volume transaction platforms. Hands-on experience with digital asset / wallet / on-chain reconciliation . Experience with fiat payment, banking, custodian, or payment-service-provider reconciliation. Experience participating in settlement or reconciliation system implementation and transformation projects. Experience working with Product and Engineering teams on system design, data requirements, reporting logic, UAT, and process automation. Familiarity with accounting systems, general ledger processes, and period-end financial reconciliation. Experience supporting internal or external audit requests relating to transaction completeness, settlement, or reconciliation. SQL, data analytics, or other data-querying experience would be an advantage. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid ENGINEERING MANAGER - APPLIED AI THE ROLE AND ITS IMPACT You will lead and grow the Internal AI Accelerator team as it expands from its current core to a fully formed engineering squad. You will own the strategy, delivery, and roadmap for how Xero designs and delivers agentic AI workflows that eliminate manual toil, speed up decision-making, and generate measurable productivity gains. This means working directly with business leaders across G&A, Finance, P&C, and IT functions to co-build reusable AI patterns and governance frameworks that last. You will shape how Xero thinks about AI delivery long after your tenure, building playbooks and reference architectures that other teams can pick up and run with. What your engineers build goes into production and real people rely on it. One month you are partnering with finance, the next you are embedded in IT. You set the pace, you unblock the path, and you hold your team accountable to shipping. THE TEAM AND HOW THEY CONNECT The Internal AI Accelerator team is a small, high-impact crew of engineers embedded across Xero's business units. They partner directly with product, engineering, and business teams to design and ship AI workflows in weeks, not months. The team operates with a direct line to senior stakeholders and a genuine mandate to move fast. Together, you are genuinely curious about what works and what doesn't, learning openly from every project and sharing what you discover. THE TEAM IS CURRENTLY WORKING ON The team is expanding from a proof-of-concept phase into building at scale. You will focus on growing the engineering capability across multiple workstreams. Initially, your priorities will be: - Scaling agentic AI delivery across multiple business domains (finance, HR, support, operations) - Building reusable patterns, platforms, and governance frameworks that other teams can adopt - Designing and implementing the technical architecture for enterprise AI deployments - Establishing best practices for AI safety, evaluation, and operations at scale WHERE AND HOW YOU CAN WORK This role is based in Sydney. You will work in a hybrid model with core collaboration days in the office. Xero supports flexible ways of working, and regular "boost days" bring our ANZ teams together for connection and planning. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring solid engineering credibility, ideally from shipping production software at scale, so you can make sound technical decisions and earn your team's respect without needing to code day-to-day. - Your approach to strategy is pragmatic: you can move fast without all the answers, turning vague problems into clear scope, and pivoting when the situation changes. - You will Go Bold in how you lead: giving your team ownership, pushing back on processes that slow you down, and creating space for innovation alongside delivery. - You demonstrate genuine curiosity about your people and a commitment to coaching them up. You leave your team knowing more than when they joined. - You show comfort bridging technical and non-technical worlds, translating between engineers and business stakeholders without losing nuance on either side. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.