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Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within the UK. Your new role As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.  Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training. How you’ll make an impact Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes. Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development. Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions. Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism. Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards. Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives. Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities. Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies. Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices. Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks. Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices. Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies. Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols. Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents. Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions. Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools. What will set you up for success Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience). 5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations. Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards. Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting. Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring. Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security. Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs. Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation. Proficiency in AWS security best practices. Skills in automation, development, or scripting for enhanced security operations. Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls. Proficiency in email security protocols like SPF, DKIM, and DMARC. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com   Applicant Privacy Notice (United Kingdom)

Location: Bucharest, Romania; Cluj-Napoca, Romania; Timișoara, Romania; Iași, Romania; Sofia, Bulgaria; Plovdiv, Bulgaria; Varna, Bulgaria; Burgas, Bulgaria; Gibraltar; Valletta, Malta; Sliema, Malta; Saint Julian's, Malta; Belgrade, Serbia; Novi Sad, Serbia; Niš, Serbia; Riga, Latvia; Brussels, Belgium; Antwerp, Belgium; Ghent, Belgium; Dublin, Ireland; Cork, Ireland; Galway, Ireland; Amsterdam, Netherlands; Rotterdam, Netherlands; Eindhoven, Netherlands; The Hague, Netherlands; Aarhus, Denmark; Copenhagen, Denmark; Helsinki, Finland; Stockholm, Sweden; Gothenburg, Sweden; Malmö, Sweden; Tallinn, Estonia; Vilnius, Lithuania; Kaunas, Lithuania; Prague, Czechia; Brno, Czechia; Budapest, Hungary; Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Gdańsk, Poland; Poznań, Poland; Bratislava, Slovakia; Maribor, Slovenia; Ptujska gora, Slovenia; Ljubljana, Slovenia; Zagreb, Croatia; Split, Croatia; Limassol, Cyprus; Nicosia, Cyprus; Ayia Napa, Cyprus; Paphos, Cyprus; Athens, Greece; Thessaloniki, Greece Workplace: fully David Kennedy Recruitment is working with a leading B2B solution provider who are looking to recruit a Global Head of Product Marketing . Position: Global Head of Product Marketing Location: Remote (FTE): Romania, Bulgaria, Gibraltar, Malta, Serbia, Latvia Remote (SLA): Belgium, Ireland, Luxembourg, Netherlands, Denmark, Finland, Sweden, Estonia, Lithuania, Czechia, Hungary, Poland, Slovakia, Slovenia, Croatia, Cyprus, Greece Employment type: Full-time About the role. We are looking for a strategic and forward-thinking Global Head of Product Marketing to lead the positioning, messaging, and go-to-market strategy across a diverse iGaming portfolio, including Slots and Live Casino. This is a senior leadership role suited to an expert who combines deep product knowledge, market insight, and commercial acumen to drive global growth and differentiation. DUTIES AND RESPONSIBILITIES: Define and lead the global product marketing strategy across all iGaming verticals, ensuring alignment with business objectives Partner with Product, Commercial, and Brand teams to develop compelling messaging, positioning, and high-impact GTM campaigns across international markets Act as the subject matter expert across all product lines, with a strong understanding of player behaviour, product mechanics, and underlying technology Lead, mentor, and scale a high-performing global product marketing team Design and implement a structured GTM framework to support new product launches and major updates Leverage product analytics, customer insights, and market data to inform strategy and drive performance Conduct competitive analysis to refine product positioning and support roadmap decisions Ensure strong cross-functional alignment between Product, Marketing, and Operations teams globally. REQUIREMENTS: Fluent in English (C1), with strong proficiency in both written and spoken communication 10+ years of experience in Product Marketing, including at least 5 years in senior or global leadership roles within the iGaming industry Proven track record of delivering successful marketing strategies across all verticals, Slots and Live Casino Strong understanding of the full product lifecycle, including acquisition, retention, and monetization strategies Experience launching and scaling products across multiple international markets Data-driven approach with the ability to interpret metrics and optimise performance Excellent communication, storytelling, and stakeholder management skills Demonstrated leadership experience managing distributed, multicultural teams Bachelor’s or Master’s degree in Marketing, Business, or Product Management (MBA preferred). BENEFITS: Opportunity to shape global product marketing strategy within a leading iGaming environment. High-impact leadership role with exposure to international markets and senior stakeholders. Collaborative, fast-paced environment focused on innovation and growth. And many others!!!

Location: United Kingdom Workplace: Remote BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS MANEUVER MARKETING Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products. In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs. These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore. This is just the beginning of our journey, and you could be part of the next stage of our growth! YOUR NEXT ROLE We are looking for a highly skilled and ambitious Growth Strategist with at least 3 years of experience, managing at least $1M per month in ad spend to join our team. Today, the role of a Senior Media Buyer has evolved into a Growth Strategist - it’s no longer enough to work inside ad accounts - effective marketing requires critical thinking, conducting deep research, translating insights into ideas, and taking those ideas through implementation. Of course, you cannot do this alone. As a Growth Strategist at Maneuver, you will lead a product marketing team comprising a copywriter, creative strategist, designer, and media buyer to grow 2 flagship products. You’ll meet with fellow Growth Strategists to exchange ideas and best practices regularly. The product marketing team is supported by cross-functional teams: (a) Influencer & Partnerships, (b) Videos, (c) Marketplaces, (d) Measurement, (e) Retention, (f) Other Channels (e.g. AppLovin, Google), and (g) Tech - all of which are essential to grow a product to $100M+ a year profitably. As such, the best candidates have a track record of building something from scratch and demonstrate strong resourcefulness to overcome challenges and explore uncharted territory. WHAT YOU’LL DO STRATEGIC GROWTH PLANNING & OPPORTUNITY DISCOVERY You’ll own the development and iteration of Meta-led growth strategies grounded in first principles, real-world data, and deep DTC competitive intelligence. - Identify bottlenecks and opportunities through structured root-cause analysis across creative, media, offer, funnel, and product positioning. - Systematically uncover under-tapped or untapped opportunities by reverse-engineering winning DTC products and offers across Google Search, Amazon, Shopify, Meta, YouTube, and adjacent channels. - Analyze why products sell well (positioning, mechanism, claims, pricing, bundles, merchandising, distribution) and map those learnings to Maneuver’s products to unlock new markets, angles, and growth paths. - Prioritize high-leverage initiatives that balance short-term profitability with long-term strategic breakthroughs (new positioning, new audiences, new use cases). - Act with urgency to gather new signals, test hypotheses, and adapt strategy in-market. - Ruthlessly focus team energy on the highest-ROI initiatives that move core business metrics. DEEP MARKET & CUSTOMER RESEARCH You’ll lead a continuous discovery process that directly informs positioning, creative direction, funnel strategy, and media execution. - Conduct social listening across Facebook Groups, Reddit, TikTok, Pinterest, reviews, and UGC ecosystems to surface pains, unmet needs, objections, and language patterns. - Dive into product‑level inputs (clinical studies, ingredient claims, AOV/LTV trends, customer reviews, refunds, CX tickets) to sharpen value propositions and positioning. - Run deep competitive audits using tools such as Meta Ad Library, Atria, Transparency Center, VidTao, Google Search, and Amazon to identify messaging gaps, offer structures, and creative patterns. - Triangulate qualitative and quantitative insights into clear strategic actions that unlock growth. MEDIA STRATEGY Design and manage high-performance Meta ad systems that balance testing discipline with scalable performance. - Architect account structures, naming conventions, and testing frameworks for clean data capture and fast learning. - Execute and evolve bid strategies (Cost Cap, minROAS, Bid Cap, Highest Volume, Accelerated Bid Cap) based on signal quality, scale phase, and business context. - Build creative testing matrices and scale frameworks (ABO/CBO/ASC setups, budget ramps, funnel staging, whitelisting). - Ensure delivery systems and media execution align tightly with strategic hypotheses and growth objectives. CREATIVE STRATEGY & MESSAGING ARCHITECTURE You’ll provide a bird’s eye view of the creative and messaging ecosystem, ensuring alignment across teams and funnel stages. - Co-own the high‑level creative roadmap across TOF / MOF / BOF / Buyer stages with the copywriter and creative strategist - Map current messaging by awareness level and sophistication, identifying gaps, redundancies, and misalignment. - Assess whether ads, offers, and funnels are congruent with the intended messaging strategy at each stage. - Co‑own messaging architecture with the copywriter and creative strategist, helping segment and prioritize messaging buckets such as, but not limited to: - Authority / expert‑led - Founder / brand story - Mechanism‑led education - Objection handling - Social proof & validation - Use in‑market performance signals to continuously refine angles and creative direction. FUNNEL STRATEGY, CRO & PROJECT OWNERSHIP You’ll own funnel strategy, CRO direction, and end‑to‑end project execution. - Identify funnel bottlenecks and CRO opportunities in partnership with media buyers, creative strategists, and copywriters. - Define what should change and why (structure, messaging emphasis, flow, offer presentation), and translate that into clear briefs for copywriters and designers. - Collaborate with tech team members to implement changes once copy and mock‑ups are finalized. - Own projects end‑to‑end: scoping, prioritization, implementation, QA, launch, and post‑launch monitoring. - Ensure tight feedback loops post‑launch, with media buyers monitoring test performance and providing analysis to inform next iterations. COLLABORATION You’ll act as the connective tissue between strategy, media, creative, CRO, and cross‑functional partners. - Provide high‑signal strategic and CRO briefs aligned on performance goals and compliance considerations. - Partner closely with creative strategists, copywriters, and designers to ensure creative execution reinforces strategy. - Collaborate tightly with media buyers on test design, optimization feedback, and learning agendas. - Bring awareness to upstream partners (tech, supply chain, CX, retention) early to de‑risk initiatives and accelerate execution. - Build a high‑ownership culture with clear rituals, accountability, and feedback systems. DATA FLUENCY & PERFORMANCE OPTIMIZATION You’ll turn data into decisions and ensure learning compounds over time. - Design and interpret measurement frameworks (incrementality tests, attribution rules, holdouts) to guide investment decisions. - Read metric pairs (CTR vs CVR, ROAS vs MER, AOV vs CAC) to isolate constraints and form clear hypotheses. - Run regular performance cadences, documenting learnings and driving decisive pivots based on thresholds. - Think in numbers—tracking CAC, ROAS, AOV, LTV, and confidently making ROI‑based calls in real time. HOW YOU’LL SUCCEED Maneuver is an OKRs, KPIs & data-driven company, we are not Mad Men (Well, not all), but Math Men. As a result, a number of metrics will constitute the basis of your performance and success within this role and the company: - New customer sales and revenue, measuring Meta’s impact across all distribution channels - Advertising efficiency in terms of return on ad spend - New marketing capabilities built with significant positive ROI WHAT YOU BRING - At least 3 to 7 years of relevant experience working with DTC brands as a media buyer / Growth Strategist. - Strong “builder” desire - we built our brand to 9 figures in revenue profitably with ~30 full-time employees and this would not have happened without a strong work ethic and a mission-driven culture. We aim to build the brand to 10 figures by the end of the decade, and this requires a strong sense of commitment to build something together with like-minded people. - Strong analytical skills - ability to work with data, analyze metrics as a system, and understand the right marketing levers to improve results and performance. - Persuasion skills - Some experience in direct response copywriting and persuasion principles - including but not limited to Robert Cialdini, Dan Kennedy, Eugene Schwartz, Gary Halbert, etc. - Strong media buying skills - experience managing at least $30-100K a day in ad budget profitably with deep performance marketing skillsets. - Strong project management skills - ability to identify outcomes, develop plans, and implement initiatives to achieve the outcomes, while iterating along the way with real-time data and feedback to improve the plan and execution. The ability to stay on top of multiple initiatives at one time, without sacrificing quality, is valuable - Strong project coordination skills - ability to work with multiple partners, both inside and outside of the organization, while keeping projects running smoothly and according to timelines - Other important soft skills - resourcefulness, organization, independent, problem-solver - Other important hard skills - interest in creative performance and testing, persuasion, and general marketing skills WORK ARRANGEMENT - This is a full-time position with a remote work arrangement - We work Monday to Friday, 10am to 7pm SGT (GMT+8) and you will be required to coordinate with the team for at least 3 overlap hours a day in the SGT timezone - Preferably time zones are between GMT and GMT+2.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Political Risk Insurance Projects Director supports a U.S. Government Agency in managing complex international risk mitigation initiatives. This role operates within a specialized function responsible for evaluating, structuring, and underwriting political risk solutions for investments in emerging and developing markets. The Director serves as a senior specialist leading the assessment and execution of highly complex insurance transactions. The position requires deep expertise in political risk analysis, underwriting, and international investment environments, as well as the ability to engage with senior stakeholders across public and private sectors. This position is based in Washington, D.C. Responsibilities Evaluates projects proposed by investors and designs the insurance coverage, personally handling unusually complex and significant issues as well as representing the Agency at the highest levels in negotiations with investors and foreign government representatives. Projects include the most complex issues and conditions and require the conduct of sensitive negotiations and original underwriting techniques performed with authoritative technical independence. Reviews formal applications for political risk insurance. Analyzes the nature of investment, equity and loan instruments, project agreements, and related documents. Determines the level of concentration risk in the industry or country. Reviews laws and practices regarding investment and foreign exchange in country of proposed investment, as well as the investment conditions and political climate in order to assess political risk and anticipate and deal with problems that might arise. Reviews and works with other relevant departments to determine appropriateness of foreign government approval of the project and the investment's contribution to economic development in the project host country; the effect on U.S. balance of payments and employment; and the projects' environmental implications. Reviews final insurance applications and, when needed, requests supporting information and documentation. Advises investors on whether the proposed project is insurable. Determines whether there are problems or restrictions that would make the project, investment, and/or investor ineligible and suggests, if possible, reshaping to achieve eligibility. Performs risk evaluation and proposes pricing. Develops concepts and innovative approaches to provide and support political risk coverage. Assists in maintaining and expanding the business pipeline for risk mitigation services, working with U.S. and foreign private sector and government officials, as well as with representatives of multilateral and bilateral development finance institutions. Develops and sustains relationships with corporate, multilateral, and bilateral representatives to ensure early identification of future projects with potential for enhanced participation. Negotiates and confers with senior officials and/or counsel of the investors regarding character of investment, the appropriate insurance coverage(s), and provisions of the contract. Provides suggested language for adaptations, changes in, or addenda to the standard contract and determines need for and obtains advice or clearance from legal counsel and other relevant parties. Prepares or oversees the preparation of the insurance contract in final form, ensuring that it correctly reflects the investor's application and supplementary data, and after appropriate clearance, transmits it to the investor for execution and payment of fees. Prepares staff memoranda and papers for presentation to approval committees, management, and senior leadership; coordinates presentations of projects for approval, as needed. Work may include overseas travel to conduct due diligence about the current political situation in a country where issues are affecting the client's operations, conducting special negotiations, and working with local U.S. Embassy staff to deal with specific country issues. Performs other related duties as assigned Qualifications Minimum of a master’s degree in international business/studies, international relations, finance, business, economics, political science, or a related field. Minimum of 8 years of experience working at a political risk insurance firm, commercial bank, consulting firm, investment bank, international project development company, international financial institution, or multilateral organization within the last 10 years. Experience independently completing the full range of origination of international political risk insurance contracts. Experience conducting political risk analysis of investments in developing countries. Experience identifying issues in at least two of the following three areas: political, economic or credit risks (e.g. due diligence, risk exposure, detailed credit analysis, market analysis, private investments). Experience analyzing the underlying causes of changes in investment conditions and political climate in a developing country. Experience guiding potential clients through the eligibility requirements, application process, investment policies requirement and approval process at a political risk insurance company. Experience identifying pertinent host country political risks related to projects and applying these analyses to determine what risks should be covered and excluded in a political risk insurance contract. Experience developing networks and customer contacts to identify new business opportunities. Excellent English speaking, reading, and writing skills. Demonstrated ability to produce written materials that are clear and succinct. Must be a U.S. Citizen or Foreign National with the ability to obtain and maintain a Public Trust or higher-level clearance. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $150,000 — $175,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE Atlas gives teams a way to build and use internal software with AI, with the infrastructure to connect company tools, manage access, and share what they build. We're hiring a Product Manager to help take Atlas from a new product to something teams rely on every day. You'll identify the most valuable problems to solve, work closely with engineering and design to ship, and figure out what turns early interest into adoption. This role spans product discovery, launch, and the work that comes after: learning from real usage and deciding where to go next. The product team at WorkOS works closely with developers and technical buyers who have strong opinions and high standards. Our engineers bring sharp product instincts, and you'll be a close partner in deciding what to build and why. You'll have room to shape the product, make decisions with incomplete information, and move quickly as you learn. WHAT YOU'LL DO - Own product direction and outcomes for Atlas, from identifying customer problems through discovery, delivery, launch, and iteration. - Work directly with early users to understand what they're trying to build, where they get stuck, and what would make Atlas useful in their everyday work. - Turn those insights into a clear roadmap, making deliberate choices about which use cases to pursue and what to ship first. - Partner closely with engineering and design to turn technical capabilities into a product people can understand and use. - Define success metrics for activation, adoption, and continued use, and use customer feedback and product data to guide your next decisions. - Work with marketing, sales, and other go-to-market partners to bring Atlas to market and communicate its value clearly. - Follow how people are building with AI and agents, and use what you learn to identify new product opportunities. WHAT WE'RE LOOKING FOR - Experience building products for developers or technical B2B users, with the technical fluency to work closely with engineers and understand customer workflows. - A track record of taking a new product from an early idea to launch and adoption. You can explain the decisions you made, what you learned from users, and how the product changed as a result. - Strong product judgment: you can find a useful starting point in an ambiguous problem and decide what matters most. - A habit of talking to customers and using what you learn to shape the product. - The ability to move quickly, make decisions without perfect information, and adjust as new evidence comes in. - Clear communication and strong partnerships with engineering, design, and go-to-market teams. ESPECIALLY RELEVANT EXPERIENCE - Shipping agentic products, or working directly alongside teams building them. Recent experience with how people use agents to get work done is a strong plus. - Bringing a new developer tool or technical B2B product to market and building its early adoption. - Working on pricing, packaging, or a product-led growth motion. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Business Development Representative, you will play a critical role in driving revenue growth for the Fin Sales organization through effective pipeline generation. Our role is to lay the foundation for Fin Sales by engaging with prospects and customers, helping them understand the value of Fin through creative & engaging prospecting. We invest in our BDRs. We strongly believe in giving our team the opportunities to grow & develop at Fin, to push themselves outside of their comfort zones to achieve goals they never thought possible.  In joining the Business Development team at Fin, you join a community that believes in development and promotion from within. We’re looking for people who are excited to work in a fast-moving company, make an impact, and rapidly develop their career in sales. As a BDR team, we empower one another to achieve our goals, exceed expectations and continue to deliver real business impact. We’re looking for a teammate to do the same! What will I be doing? Creating and prioritizing strategic target account lists with Account Executives Generating new business pipeline for Account Executives through cold calling, email, social etc. Providing a great experience for Fin's prospective customers Maintaining an up-to-date knowledge of our product and its value to customers Demonstrating an ability to attract new customers Working with other functions to improve business processes Engaging in team development and mentoring What skills do I need? Strong desire to build a career in Sales, you want to be an Account Executive or a closing based role in the future 1+ year of customer-facing work experience (Sales and/or SaaS experience is a +) Operational Excellence: You can use your time in an effective and efficient manner to complete revenue driving activities, you can quickly identify where to focus your efforts to drive more pipeline. Competitive Landscape & Industry Knowledge is crucial. You’ll bring an understanding of the SaaS landscape and our target verticals. You always want to stay on top of the latest news & industry trends. Prospecting skills (cold calling, email, social) You know how to leverage modern sales engagement tools to deliver prospect engagement across multiple channels (phone, email, LinkedIn) Communication You can articulate your thoughts and express ideas effectively using verbal, written and non-verbal communication skills (to inform, instruct, and persuade), to different audiences. You listen effectively and love to partner and collaborate with your peers Growth Mindset You’re self-aware and understand both your strengths and weaknesses. You understand every day is an opportunity to be 1% better than the day before. You proactively seek feedback. Results Oriented You bring a never settle approach to quota, progression and team development. Results oriented SDRs are hungry to succeed and raise the bar. Bonus skills & attributes Bachelor's Degree preferred Familiarity with these systems and tools: (SFDC, Outreach, Cognism, Zoominfo, LinkedIn Sales Navigator) #LI-Hybrid #LI-RH1 Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Warsaw Workplace: Hybrid Role highlights: • Senior C++ Engineer – Satellite Real-Time Control Systems • Location: Warsaw, Poland • Department: Engineering • Reports to: Engineering Lead, AOCS Software • Employment type: Permanent • Workplace model: Hybrid • Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior C++ Engineer – Satellite Real-Time Control Systems, you’ll develop and operate real-time embedded software that powers ICEYE’s growing SAR satellite constellation. Every radar image, collision-avoidance manoeuvre, and customer mission relies on deterministic, high-performance software deployed continuously to satellites operating in unforgiving orbital dynamics. Your work will directly enable first responders to map floods, insurers to assess damage, and scientists to measure a changing planet. In this role, microseconds matter and every line of code has a direct, global impact from space. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities • Write and optimize modern C++ code that meets strict determinism and latency budgets for safe and precise on-orbit execution • Build and own the software layer that bridges sensors, actuators, and control algorithms including deterministic loops, telemetry pipelines, and on-orbit autonomy • Drive quality across the full development lifecycle from requirements and design to HIL and MIL testing, launch, and on-orbit support • Collaborate with GNC, electronics, ground segment, and mission operations engineers to debug, iterate, and improve system performance • Lead architecture evolution as the fleet and use cases grow by refactoring, optimizing, and introducing new technologies where they add value • Investigate anomalies by deep-diving into flight telemetry, reproducing issues on the ground, and rolling out fixes that keep the constellation healthy What we’re looking for Must haves: • Strong experience writing modern C++ with a clear understanding of production-quality code • Proven track record of delivering real-time control software for autonomous or safety-critical systems such as satellites, drones, robotics, or automotive systems • Solid understanding of hard real-time constraints, latency budgeting, and deterministic behaviour • Experience interfacing with sensors and actuators in embedded Linux environments • Strong engineering practices including rigorous testing, CI/CD, and clear documentation • Ownership mindset across the full software lifecycle from concept to on-orbit maintenance • Clear communicator who collaborates effectively across multidisciplinary teams Nice to haves: • Experience with hardware-in-the-loop and model-in-the-loop testing • Experience supporting software in operational or mission-critical environments • Familiarity with satellite GNC or space systems Application Process • Talent Attraction screening • Hiring Manager interview • Task and Technical interview • On-site technical workshop • On-site behavioural interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Sliema, Malta Workplace: none David Kennedy Recruitment is working with a leading B2B solution provider who are looking to recruit a Country Manager for the Nordic region for their offices in Malta, to drive market expansion, build strategic client relationships, and accelerate revenue growth. You will play a key role in identifying new business opportunities, managing the full sales cycle, and positioning our solutions effectively in the market. This is an exciting opportunity to make a direct impact in a fast-paced, international environment. Position: Country Manager Location: Sliema, Malta Employment type: Full-time DUTIES AND RESPONSIBILITIES: Identify and develop new business opportunities through research, networking, and strategic outreach, managing prospects through the full sales cycle Build and maintain a strong, active sales pipeline through consistent and targeted activity Understand customer needs and deliver consultative, solution-driven sales approaches Develop deep relationships with clients to ensure long-term partnerships and tailored solutions Act as a product expert, confidently presenting current and upcoming offerings Collaborate with internal teams to convert leads into successful client engagements Create and maintain high-quality sales materials, including presentations and supporting resources Develop commercially viable proposals aligned with both business and client objectives Track and report on sales pipeline progress and customer journey stages Represent the company at trade shows, industry events, and conferences Deliver product demonstrations both remotely and in person Partner with Product and Marketing teams to drive initiatives that support new business acquisition. REQUIREMENTS: Fluent in Swedish or Danish , along with strong English communication skills, in both written and spoken communication Strong network of C-level contacts within the gaming or gambling sector Proven experience within Nordic iGaming markets, either in B2B sales/account management or a commercial B2C role In-depth knowledge of casino, slots, and live casino products Demonstrated experience in developing and executing regional or global sales strategies Solid understanding of marketing principles Ability to thrive in a fast-paced, complex, and evolving environment Strong organisational skills with the ability to manage multiple priorities and meet tight deadlines Self-driven with the ability to work independently and collaboratively Highly motivated with the ability to influence and inspire others Hands-on, proactive approach with a strong sense of ownership Commercially focused with a data-driven mindset Strong interpersonal and negotiation skills with the ability to build lasting relationships. BENEFITS: Comprehensive onboarding and training aligned with high industry standards Supportive, collaborative, and inclusive company culture Excellent career progression opportunities within a fast-growing international organisation Access to continuous learning and development through a dedicated learning platform.

Location: Sydney Workplace: Hybrid ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Toronto, Ontatio About the Department The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.  Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. What you'll do You'll drive new business by identifying and qualifying target commercial accounts in Ontario for Cloudflare’s Enterprise service plan. This is a great opportunity for a Sales Professional to help build the business in Central Canada. You will have both a sales and technical background that enables them to drive customer engagement from technical professionals through to senior executive levels, and across Security, Network, Development and Infrastructure teams. Responsibilities Develop and execute against a comprehensive account/territory plan Increase sales in a defined territory and/or account list to achieve revenue targets Create and articulate compelling value propositions for Cloudflare services Manage contract negotiations Maintain a robust sales pipeline Develop long-term strategic relationships with key accounts Ensure customer satisfaction Develop and maintain partner relationships as it relates to customer base Requirements Bachelor's degree or equivalent experience Minimum 5 years of direct technical sales experience Experience selling solutions related to Cyber Security, Networking, Cloud Solutions, SaaS, IaaS, PaaS is a plus Mid to advanced understanding of computer networking and “how the internet works” Aptitude for learning complex technical concepts/terms (technical background in engineering, computer science, or IT strongly desired) Strong interpersonal communication (verbal and written) and organizational skills Self-motivated; entrepreneurial spirit Comfortable working in a fast paced, dynamic environment What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Denver, CO; Seattle, WA; Chicago, IL (Remote); United States (Remote); At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! The Senior Machine Learning Engineer will join our ML team.  This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd’s product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices. Our Culture We value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward. The Role As a Senior Machine Learning Engineer , you will be a driver of technical execution within the ML team. You won’t just build models—you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound. Responsibilities: Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs. Raise the Bar – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development. Requirements: Education: A degree in Computer Science, Statistics, or a comparable quantitative field. Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment. Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale. Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments. Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders. Tech Stack: Proficiency in Python , SQL, key ML libraries, and Spark Mindset: A strong outcome-oriented mindset—you care about the "why" behind the models and the business impact they create. Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic' Nice to have: Previous experience in fraud, fintech, payments, or e-commerce. Passion for writing well-tested production-grade code A Master’s Degree or PhD. Why Join Us? Make an Impact – Your work will directly shape the future of fraud prevention, protecting billions of payments. Lead & Grow – Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment. Innovate at Scale – Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible. Collaborative Culture – Join a team that values curiosity, ownership, and continuous learning. #LI-Remote Benefits in our US offices: Discretionary Time Off Policy (Unlimited!) 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) On-Demand Therapy for all employees & their dependents Dedicated learning budget through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. Base Salary Ranges by Pay Zone: Tier 1 (NYC/SF Bay Area/Seattle):  $160,000 - $190,000 annually Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually Tier 3 (US - All Other): $140,000 - $170,000 annually Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd's Applicant Privacy Notice

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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. About the Opportunity You will be joining a team at the intersection of strategic execution and executive operations. This hybrid role combines program management ownership with high-touch executive support, working closely with senior leadership to drive critical initiatives and ensure seamless day-to-day operations. What You’ll Be Doing Prepare the CEO for key meetings: Develop concise briefings and coordinate pre-read materials covering the purpose, background, key discussion points, relevant data and decisions required. Identify missing information and obtain clarification before meetings. Manage strategic meetings end-to-end: Coordinate agendas, participants, meeting sequencing and material submission deadlines. Consolidate presentations and review them for clarity, completeness, consistent messaging, formatting and obvious discrepancies before circulation. Drive post-meeting follow-through: Prepare accurate meeting notes and decision records; translate agreed outcomes into specific actions with accountable owners, deliverables and deadlines. Maintain an action tracker, follow up regularly and escalate delays or unresolved issues. Track the CEO’s priority projects: Work across functions to monitor milestones, dependencies and delivery commitments. Provide concise progress updates highlighting risks, blockers and matters requiring leadership intervention. Filter and synthesise information: Distil reports, feedback and requests into clear sk lummaries of what the CEO needs to decide or know. Prioritise by urgency and business impact, highlighting the decision required, available options and relevant context. Coordinate external engagements: Manage invitations, responses and preparation for engagements with business partners, regulators, media, investors and industry conferences. Conduct preliminary reviews of interview briefs, publicity materials and correspondence, coordinating review and approval by the relevant functions before release. Deliver proactive executive support: Manage the CEO’s calendar, travel, meeting logistics and expenses, aligning time allocation with priorities and anticipating scheduling conflicts and preparation needs. Improve CEO office workflows: Establish practical systems for briefing preparation, information management, project tracking and follow-up. Use approved AI and automation tools to improve efficiency while protecting confidential information and verifying outputs. What We Look For In You Demonstrated experience supporting senior executives and coordinating complex meetings or cross-functional initiatives in a fast-paced, international environment. Strong business judgement and prioritisation skills, with the ability to distinguish routine coordination from matters requiring the CEO’s attention. Excellent written communication and information synthesis skills; able to turn complex or fragmented inputs into concise, accurate briefings. Strong execution discipline, with a track record of translating decisions into actions, tracking commitments and escalating issues early. Confidence working with senior stakeholders, obtaining timely inputs and challenging incomplete or inconsistent information professionally. Exceptional discretion and care when handling sensitive executive, employee, customer and external stakeholder matters. Strong analytical skills and attention to detail, including the ability to interpret key data and identify gaps or inconsistencies. An AI-forward working style, using approved tools responsibly and critically reviewing outputs before use. Bachelor’s degree or equivalent relevant experience. Proficiency in Mandarin to communicate effectively with internal stakeholders across the region. Ability to travel up to 30% of the time for leadership meetings and regional site visits. 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 .