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Job Title: Sr. System Engineer Location: Aberdeen, UK Work Type: Hybrid Job Description: Develop and Maintain Azure Cloud Services in accordance with Security and Standards. Design architecture for sizing / scalability and performance; Remediate any availability, regulatory or performance-related operational deficiencies; Set up process, services and tools around Azure cloud Validate the environment to meet all security and compliance control L4 level of experience in Infrastructure and Operations L3 level years of experience in Cloud Architecture and Engineering services Strong communication and written skills Experience creating technical architecture documentation Experience in migrating Enterprise Applications Strong experience in managing Windows server environment Strong experience in deploying managing and upgrading AD / DHCP / DNS / SCCM environment Experience in troubleshooting AD / DHCP / DNS / SCCM issues Technical Skills requirement Overall 10-15 years of experience with minimum 2 years working in Azure Infrastructure Architect Good understanding of and experience in working on Microsoft Azure (IAAS) Deep understanding of IT Infrastructure and Networking Experience in working with products like ServiceNow, ELK, Azure Monitor etc. Design, Architect and Implement IaaS solutions on Azure using ARM templates and PowerShell scripts. Collaborate with internal and customers functional and technical teams to ensure Azure based solutions are appropriately architected, engineered, tested, & deployed. Knowledge of deploying Web Apps / designing Databases Hands on experience with Azure cloud native services Hands on experience with Azure container services Experience with Agile and DevOps concepts

SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long-term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn’s log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. • Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption., • Conduct architectural reviews to define deployment strategies and identify integration opportunities., • Own the post-sale technical relationship into steady-state operations, delivering against technical success criteria tied to quantifiable security outcomes., • Travel to UK and international customer sites approximately 25% of the time., • Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes., • Proactively health-check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations., • Collaborate with Sales Engineering to ensure continuity from pre-sale technical validation through to post-sale deployment., • Write production-quality software to build and maintain integrations across third-party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments., • Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows., • Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns., • Write, tune, and maintain high-fidelity, low-noise SIEM detection rules by translating threat intelligence and attacker behaviour., • Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations., • Iterate on rules post-deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture., • Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture., • Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting., • Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally., • Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn., • Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions., • Act as a direct conduit between the field and product teams, raising well-evidenced bugs, feature requests, and detection improvements., • Participate in User Acceptance Testing (UAT) for new platform releases to provide field-informed quality assurance., • Identify cross-environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential • 3–6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function., • Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred., • Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback., • Hands-on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs., • Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts., • Experience deploying or operating software in containerised environments (Docker, Kubernetes)., • Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non-technical stakeholders up to C-level., • Based in the United Kingdom with the right to work in the UK. Highly Desirable • Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company., • Experience supporting customer renewal engagements from a technical perspective — building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations., • Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments., • Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices., • Exposure to machine learning or AI-driven security analytics platforms., • Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent., • Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. Within your first 90 days, you will have completed at least one end-to-end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi-environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn’s shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn’s most strategic accounts. What We Offer • Competitive salary commensurate with experience, • Unlimited holiday allowance, • Hybrid working model with flexibility around customer commitments, • Bi-annual career progression review, • Personal learning and development budget, • MacBook and all necessary tooling provided, • Enhanced pension scheme, • Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. AI/ML Engineer DOHE Global is using AI to reshape how startup consulting works. AI analyzes coaching sessions and generates reports, matches startups with the right experts, and in the long run, AI Agents will deeply analyze Problem-Solution Fit. This team turns all of that into reality. This is not a prompt engineering role. You'll design and build end-to-end AI pipelines — recording → transcription → summarization → coaching report. Fine-tune LLMs for domain-specific models and architect Multi-Agent systems. [한국어] About Us DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. · Build the end-to-end pipeline: recording → transcription → summarization → coaching report · Auto-generate Pre-Diagnosis Reports from survey responses and startup data · Design expert matching algorithms using startup profiles and diagnosis results · Architect and implement Multi-Agent systems · Fine-tune LLMs and train domain-specific models · Design prompts, build evaluation frameworks, manage model versions, and run A/B tests · Intensive Hands-on ML/AI experience · Building applications with LLMs · Model fine-tuning experience mandatory · Python-based AI/ML pipeline design and implementation · Hands-on experience with agent frameworks · NLP fundamentals and speech-to-text integration experience · Business-level English fluency required — daily collaboration with a global team · True believer in AI. You're convinced AI can genuinely change how people work — and you want to build it. · Pipeline thinker. You see the full flow: collection → preprocessing → model → serving → monitoring. · Experiment-driven. You thrive on rapid hypothesis → experiment → measure → improve cycles. · Domain-deep. You want to understand startup incubation deeply and design AI tailored to it. Tech Stack Language Python 3.11+ LLM GPT-5 · Claude · Gemini Framework LangChain · LangGraph · FastAPI ML PyTorch · Hugging Face Transformers STT Whisper · Google Cloud STT Vector DB Pinecone · Weaviate MLOps MLflow · Weights & Biases Infra AWS SageMaker / GCP Vertex AI · Docker DOHE Global은 AI로 스타트업 컨설팅의 패러다임을 바꾸고 있습니다. 코칭 세션을 AI가 분석하고 리포트를 생성하며, 스타트업과 전문가를 AI가 매칭하고, 장기적으로는 AI Agent가 Problem-Solution Fit을 심층 분석합니다. 이 모든 것을 현실로 만드는 팀입니다. 프롬프트 엔지니어가 아닙니다. 녹취 → 전사 → 요약 → 코칭 리포트라는 엔드투엔드 AI 파이프라인을 설계하고 구축합니다. LLM 파인튜닝으로 도메인 특화 모델을 학습시키고, Multi-Agent 시스템을 아키텍팅합니다. · 녹취 → 음성 전사 → 요약 → 코칭 리포트 자동 생성 파이프라인을 구축합니다 · 설문 응답과 스타트업 데이터 기반으로 Pre-Diagnosis Report를 자동 생성합니다 · 스타트업 프로필과 진단 결과를 활용한 Expert 매칭 알고리즘을 설계합니다 · Multi-Agent 아키텍처를 설계하고 구현합니다 · LLM을 파인튜닝하고, 도메인 특화 모델을 학습시킵니다 · 프롬프트 설계, 평가 체계 구축, 모델 버전 관리, A/B 테스트를 수행합니다 · ML/AI 실무 경력 · LLM 기반 애플리케이션 개발 · 모델 파인튜닝 경험 필수 · Python 기반 AI/ML 파이프라인 설계 및 구축 경험 · Agent 프레임워크 실무 경험 · NLP 기초와 음성 인식 서비스 연동 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · AI의 가능성에 진심인 분. AI가 사람들의 일하는 방식을 실제로 바꿀 수 있다고 믿고, 그것을 직접 만드는 분입니다. · 파이프라인을 보는 분. 모델 하나가 아니라, 수집 → 전처리 → 모델 → 서빙 → 모니터링 전체를 설계하는 분입니다. · 실험을 즐기는 분. 가설 → 실험 → 측정 → 개선 사이클을 빠르게 돌리는 것이 즐거운 분입니다. · 도메인에 깊이 들어가는 분. 스타트업 인큐베이팅이라는 도메인을 이해하고, 거기에 맞는 AI를 설계하는 분입니다. Language Python 3.11+ LLM GPT-5 · Claude · Gemini Framework LangChain · LangGraph · FastAPI ML PyTorch · Hugging Face Transformers STT Whisper · Google Cloud STT Vector DB Pinecone · Weaviate MLOps MLflow · Weights & Biases Infra AWS SageMaker / GCP Vertex AI · Docker Language Python 3.11+ LLM GPT-5 · Claude · Gemini Framework LangChain · LangGraph · FastAPI ML PyTorch · Hugging Face Transformers STT Whisper · Google Cloud STT Vector DB Pinecone · Weaviate MLOps MLflow · Weights & Biases Infra AWS SageMaker / GCP Vertex AI · Docker Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based or open to global applicants, • Contract: Fixed Term Contract

As a Backend Engineer, you'll collaborate directly with the CTO to architect and build the core infrastructure of Pod. Ability to dive into new technologies and concepts with ease. Work closely with the founding team to iterate rapidly based on feedback from our integration partners and other member

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Principal Product Specialist (AI-SPM / DSPM) to join our team. This is a remote role with a preference for candidates based in the United Kingdom or major European metropolitan areas such as Amsterdam or Frankfurt, reporting to the Sr. Director WW Field PM for DSPM. As a key member of the Data Security Product Organization within the DSPM Field PM team, you will drive the technical and commercial success of our DSPM solutions across the EMEA region. You will act as a critical bridge between our customers and the product organization, ensuring our platform evolves to meet real-world security challenges while empowering our field teams to win. What you’ll do (Role Expectations) Drive the sales strategy and execution for the DSPM product suite specifically for our EMEA customer base Lead and manage the end-to-end Proof of Concept (PoC) process for DSPM opportunities to demonstrate technical superiority and business value Serve as the primary technical resource for deploying DSPM solutions during the PoC phase to ensure seamless integration and performance Act as the definitive voice of the customer, synthesizing field feedback to directly influence and improve the DSPM platform roadmap Enable and educate the broader Zscaler field team to effectively position and sell DSPM solutions within their accounts Who You Are (Success Profile) You thrive in ambiguity and are comfortable building the path as you walk it, seeing uncertainty as the raw material to build something meaningful. You act like an owner with a fierce bias for action, navigating between high-level strategy and hands-on execution to ensure the mission succeeds. You are a learner with a true growth mindset, constantly seeking feedback and developing your skills to become a stronger partner and teammate. You are customer-obsessed and build deep empathy for both internal and external stakeholders to ensure their success remains our primary anchor. You are a pragmatic builder who is obsessed with iterating and shipping, never afraid to roll up your sleeves to build the first version yourself. What We’re Looking for (Minimum Qualifications) Deep expertise in infrastructure deployment within at least one major public cloud environment, specifically AWS, Azure, or GCP Proven professional experience in a technical, customer-facing role such as a Sales Engineer, Solution Architect, or Product Manager Exceptional technical sales expertise combined with the communication skills necessary to engage effectively with sophisticated enterprise customers Subject matter expertise in Data Security Posture Management (DSPM), Data Security, or cloud security projects like CNAPP Demonstrated ability to create and deliver high-impact Proof of Concept presentations that clearly communicate complex technical value to a business audience What Will Make You Stand Out (Preferred Qualifications) Advanced domain expertise specifically within the DSPM landscape Familiarity with or a strong aptitude for working with Network File shares within Data Center environments Hands-on familiarity or the ability to quickly master Gen AI infrastructure platforms including AWS Bedrock, Azure AI Foundry, or Google Vertex #LI-REMOTE #MG-3 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: • Various health plans, • Time off plans for vacation and sick time, • Parental leave options, • Retirement options, • Education reimbursement, • In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits _. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the _link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints. Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency, cost, and reliability. Design and maintain data systems for high-quality synthetic and real-world training data. Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Research and models reliably translate into production-ready solutions with clear performance and quality targets. ML pipelines, training loops, and inference systems are stable, efficient, and maintainable. Production issues are detected, debugged, and resolved quickly, minimizing user impact. Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Python PyTorch / JAX GPU-based training and inference system You have built or shipped real ML systems used by people, not just demos. You are comfortable working with large models and understanding their failure modes. You write strong, production-grade code and care about system correctness. You are self-directed, pragmatic, and take full ownership of outcomes. You communicate clearly and collaborate well in small, high-trust teams. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

About the Role We are seeking an exceptional, AI-native Senior+ Product Manager to build and lead the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries. This role owns the systems that define pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions. You will design and scale model-driven infrastructure that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, adaptive, and trusted. The work you do will directly shape partner economics, supplier transparency, and HTS’s global commerce platform. What would your day-to-day look like: Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection. Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics. Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners. Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms. Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale. Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure. An ideal candidate has: 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production. You have built and scaled systems where AI is foundational to product behavior — not an additive feature. Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it) Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies. Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale. Strong fluency with SQL and large-scale transactional datasets. Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks. Deep understanding of marketplace economics, revenue mechanics, and pricing strategy. Track record of delivering complex, cross-functional systems with measurable business impact. Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders. Bonus: Prior experience in Data Science, Engineering, or a highly technical role. Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments. Perks and benefits of working with us: Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages. Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health. Automatic contributions when you start with Hopper through Smart Pension. Please ask us about our very generous parental leave, much above industry standards!. Access to co-working space on demand through FlexDesk AND Work-from-home stipend. Carrot Cash travel stipend. Unlimited PTO. Entrepreneurial culture where pushing limits and taking risks is everyday business. Open communication with management and company leadership. Small, dynamic teams = massive impact. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.. Come take off with us! #LI-REMOTE

About MILE MILE is the new members-only shopping destination redefining luxury commerce. We offer access to a curated, seasonless catalogue of the most sought-after products from globally renowned fashion houses—all at unmatched prices. Built at the intersection of technology and fashion, MILE delivers a seamless, elevated experience for both consumers and brands. Our mission is to become the leading digital destination for luxury—where exclusivity, value, and exceptional design converge. What We’re Looking For We're looking for a Senior Backend Engineer to join our growing engineering team. As an early technical hire, you’ll play a foundational role in shaping the systems that power our luxury commerce platform, from our membership model to product discovery, order management, and logistics. This is a high-impact role for someone who thrives in fast-paced, product-focused environments and wants to help build a company from the ground up. What You’ll Do • Design and implement scalable, high-performance backend systems to power our e-commerce experience., • Build and maintain APIs that support our frontend, mobile, and third-party integrations., • Architect systems for membership access, catalog management, checkout, order fulfillment, and payments., • Collaborate cross-functionally with product, design, and data teams to deliver features that elevate the user experience., • Own backend services end-to-end, from design to deployment and monitoring., • Contribute to best practices in code quality, testing, reliability, and observability., • Help define our backend architecture and make strategic technical decisions as we scale., • Mentor junior engineers and foster a culture of technical excellence and collaboration. Who You Are • 7+ years of experience building and scaling backend systems in production environments., • Genuine Rubyist having written custom DSLs and/or contributed to a major Ruby gem with the deepest knowledge of how to utilize Ruby’s metaprogramming capabilities for maximal terse and DSL-centric applications., • Experience with the specific challenges of concurrency, inventory management/reservation, currency/price management, and third party API integration system designs - push, pull, effective normalization, etc., • High familiarity with excellent microservices software design - using software DSLs over cloud deployed solutions - across dozens of models, concerns, and integrations., • Experience with relational databases (e.g., PostgreSQL) and familiarity with data modeling and performance optimization., • Familiarity with cloud infrastructure (e.g., AWS) and containerization (Docker, Kubernetes)., • Experience developing and deploying GraphQL and RESTful API interfaces., • Experience developing multi tenant systems, relating to concerns of access control, reporting, and authorization/authentication., • Strong understanding of system design, data structures, and algorithmic principles., • Comfortable working in high-growth, early-stage environments—bias toward action and strong product sense are key., • A collaborative teammate who communicates clearly and is excited to shape the future of a luxury tech brand. Bonus Points • Prior experience in e-commerce, marketplaces, or membership-based platforms., • Familiarity with event-driven architectures and message queues (Kafka, SQS, etc)., • Experience working closely with design or product teams in consumer-facing companies., • Passion for fashion, luxury, or retail innovation. Why Join MILE • Opportunity to play a key role in shaping the future of the company., • Collaborative and innovative work environment., • Career growth opportunities in a fast-growing organisation. Let’s build something people talk about. Together.

Cyber Security & Cloud Architecture Analyst AWS Opportunity to join a Not-for-Profit who operate in the green energy sector Location: Basingstoke - Hybrid working. Flexible, mainly home working Lead position in a mid sized organisation (100 employees). Technology environment includes: • Digital platform reaching across B2B and B2C., • Data Warehouse, • Office Infrastructure These have been delivered and are managed by a mix of 3rd party services companies and internal. You will take the lead on ensuring the company identifies threats and vulnerabilities across Cyber Security and Resilience over the AWS cloud architecture. You may have acquired these skills from a background as Cyber Security Engineer, IT Manager, Cloud Architect, Systems Analyst ...... Skills required: • Cyber Security knowledge, • Knowledge of Cloud Architecture, AWS and DevOps process, • Familiar with governance frameworks such as ISO 27001, NIST, Cyber Essentials, • Stakeholder management skills and ideally management of 3rd part suppliers

About EmailOctopus EmailOctopus is a simple, intuitive and affordable email marketing platform trusted by global companies such as Jaguar Land Rover and local names like Outbreak Festival and Kendall Calling. We're a small, remote-first team making a big impact - helping our users send over 10 billion emails a year. The role You’ll join a 6-person product development team, working across our modern Symfony and Vue-based platform. You'll help architect, build and scale new features, while improving the robustness of our high-volume email delivery infrastructure. Working in a lean team, you’ll have real autonomy, input and influence over what we build and how we build it. You’ll contribute to key projects like improving our drag-and-drop email editor, scaling our analytics infrastructure or refreshing our automation builder. We ship every day, and you’ll take ownership of projects from design to deployment. Tech stack • Backend: PHP (Symfony), MySQL, Redis, • Frontend: Vue, SCSS, Storybook, • Infrastructure: AWS, Docker, • Data: OpenSearch, Athena, • CI/CD: GitHub Actions, PHPUnit, Playwright, Sentry What we’re looking for • Proficiency in a modern server-side language, • Experience with modern JavaScript frameworks, • Strong frontend skills, • Passion for clean, tested, maintainable code, • Self-motivated and comfortable with autonomy, • UK-based with the right to work Nice to have • Hands-on experience with Symfony or Laravel, • Familiarity with AWS and Docker, • Experience with high-volume systems or email infrastructure Benefits • Bonus scheme (up to 15% of salary), • £1,000 annual personal learning budget, • Generous equipment budget, • £50/month wellness allowance, • Enhanced parental leave, • Regular team meetups (Barcelona, Berlin, London…)

About the role: The global economy runs on physical operations, yet the data that powers them remains fragmented and slow. We are building the system of record that connects vehicles, equipment, and sites, creating a central nervous system for the industries that power our world. You will architect the developer ecosystem that allows our customers and partners to build the next generation of solutions for transport, construction, and utilities, powered by Samsara's data and AI. This is a remote position open to candidates residing in Poland or the United Kingdom. Key Responsibilities: • Architect the data nervous system for physical operations, evolving our high-throughput eventing platform into the core data pipeline for customer and internal AI initiatives., • Own the strategy and architecture for our serverless compute platform, empowering thousands of developers to run complex logic directly on Samsara's data streams., • Spearhead the technical vision for our external APIs, establishing the architectural governance that ensures consistency and scalability across all Samsara products., • Operate as a force-multiplier for engineering, mentoring senior engineers and driving technical alignment on our most complex systems., • Define the multi-year technical roadmap for our developer platform by partnering directly with product leadership and our largest enterprise customers. What We Look For: • Proven impact architecting and operating large-scale data streaming systems. You have the scars from building and scaling Kafka systems in production., • A builder's mindset for data and AI. You see beyond the event stream and can architect the connection between Kafka, data lakes, and ML infrastructure to unlock new intelligence., • Pragmatic expertise in serverless compute. You understand the trade-offs and can design architectures that are powerful for developers and efficient to operate., • A history of owning public-facing APIs. You've established the technical vision and governance that enables an entire ecosystem of developers to build with confidence., • Intellectual honesty in leadership. You align multiple engineering teams around a complex technical vision and drive it from concept to customer delivery., • A drive to raise the standard. Your technical depth and clarity of thought elevate the engineers you work with.

Who We Are Having surpassed $300M ARR and continuing to grow, Optro is the leading audit, risk, ESG, and InfoSec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: Optro is top-rated on _ and Gartner Peer Insights. At Optro, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the seventh year in a row, as ranked by Deloitte! Why This Role is Exciting Optro has a stateless containerized application architecture built on Kubernetes, hosted on multiple cloud platforms and regions, and maintained with our custom automation infrastructure software. Optro is looking for a Senior Software Engineer II specialized in Infrastructure Engineering who has industry experience scaling reliable and secure cloud infrastructure at a global scale. You'll bring end-to-end experience building, designing, and supporting a cloud-based infrastructure stack, and you're comfortable driving infrastructure projects from concept through to production as an individual contributor - taking requirements from QA, Engineering, Technical Support, and others, writing clear design documentation, and producing secure, scalable, robust implementations. You love to collaborate but can also work independently, and you're energized by mentoring fellow engineers and helping shape architecture decisions on the team. Key Responsibilities Architect and implement new cloud infrastructure to enable high-performance SaaS applications globally in the cloud. Drive infrastructure features end-to-end, from design documentation through implementation, rollout, and operational ownership. Build and deliver observability tools and analyze data, working with the application development team to ensure a consistently superb customer experience. Continue to grow automation for infrastructure provisioning, developer efficiency, and internal tooling efficiency. Apply AI-assisted development tools to accelerate IaC, automation, code review, and on-call workflows, while maintaining a high bar for security, correctness, and review discipline. Mentor fellow engineers and contribute to team-wide architecture decisions. Assist our customer support and sales teams with technical issues regarding the Optro application. Maintain reliability for our production systems to exceed our SLA requirements, including participation in an on-call rotation for production issues. Help define internal Service Level Objectives and Service Level Indicators for the Infrastructure Engineering team to drive better reliability. Collaborate with engineers, designers, and product managers; give and receive feedback well in a dynamic environment. Attributes for a Successful Candidate 5+ years of software development experience, with a track record of taking projects from concept to production Strong software development background with strong expertise in at least one programming language (Go, Python, TypeScript, or similar) Experience with Docker and running container orchestration systems (Kubernetes preferred) Experience working with cloud services providers (AWS or Azure preferred) Experience with Infrastructure as Code and other cloud automation tools (HashiCorp suite) Experience building observability tooling, dashboards, and alerting for monitoring distributed systems Experience designing globally distributed systems in a cloud-based, container-based world Comfort writing clear design documentation and influencing architecture decisions Fluency with AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) and good judgment about when and how to apply them Bonus: open-source contributions or prior experience defining SLOs/SLIs for production services *perks may vary based on eligibility/location Our Company Values Customer obsession: It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers. It’s a mindset. Gritty resilience: Make it happen. Find a way. Move fast, stay positive, and do what it takes. Drive innovation: Create the future. Continuously improve what exists and invent what’s next. Win, together: One team. No silos, no egos. Drive to be the best and support each other’s success. Growth mindset: 10x, not 10%. Think in orders of magnitude, not increments. Seek feedback, learn, and improve. Please note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information. We love building strong partnerships, but please note that Optro cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation. #LI-Remote

At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. The AI Strike Team exists to reimagine how software is built at hx. Rather than layering AI tools on top of traditional development workflows, this team is redefining the software development lifecycle using AI-native practices, enabling dramatic improvements in both engineering velocity and product quality. Operating as a high-autonomy group within the wider Technology organisation, the team is tasked with delivering complex product epics significantly faster than traditional teams while simultaneously building the guardrails required to ensure safety, stability, and compliance at scale. Their work spans the entire hx platform, collaborating closely with product, platform, and infrastructure teams to ship meaningful customer value quickly and responsibly. As a Senior member of this team, you will operate across the entire codebase, using AI tools and agentic workflows to rapidly understand systems, ship features, and improve developer productivity. Beyond delivery, you will help translate these AI-native practices into repeatable patterns that raise the baseline engineering capability of the entire organisation. Check out our _ for a behind the scenes look at the team you would be joining! Design and deliver complex product epics at 3–5x the velocity of baseline engineering teams, ensuring high-quality functionality reaches customers faster without compromising system integrity. Architect AI-assisted guardrails across the SDLC, including autonomous testing pipelines, AI-driven security reviews, and automated code quality agents that maintain stability while enabling rapid iteration. Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase, safely delivering cross-domain improvements without relying on traditional code ownership boundaries. Build and evolve AI-native development workflows, integrating best-in-class tooling across coding, testing, CI/CD, and deployment environments. Translate successful strike team practices into documented patterns, reusable tooling, and “paved road” workflows that scale across the wider engineering organisation. Partner with engineers and technical leaders to share knowledge, mentor teams, and accelerate adoption of AI-native engineering practices across hx. Built or significantly evolved AI-assisted engineering workflows that measurably accelerated delivery speed while maintaining production reliability. Delivered complex product features or systems across unfamiliar codebases by rapidly understanding architecture, dependencies, and operational constraints. Architected scalable cloud infrastructure and CI/CD systems that enabled fast, reliable software delivery in production environments. Implemented automated testing, security, or quality systems that reduced operational risk while increasing development velocity. Evaluated and integrated modern AI development tooling, selecting pragmatic solutions that improved developer productivity and software quality. Led or influenced engineering teams to adopt new technical practices, raising standards through mentorship, documentation, and hands-on collaboration. You prefer clearly defined ownership boundaries and predictable roadmaps over navigating ambiguity and moving quickly across unfamiliar systems. You are uncomfortable challenging established engineering practices or experimenting with new approaches to software development. You prefer incremental optimisation of existing workflows rather than fundamentally rethinking how engineering work gets done. If reading our _ leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally. Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via _. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Quarterly team breakfasts and lunches, snacks, drinks fridge, and a fun office at _. Exceptional opportunities for personal development and growth as we build something remarkable together. Initial call with Talent team (30 minutes) Manager Interview (60 minutes) Technical Assessment (system design whiteboard) (120 minutes) Values Interview with Tech Leadership (60 minutes) Offer hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you’re energised by complexity and motivated to grow, we encourage you to apply and join our global team. If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

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Project Manager - Chatbot Implementation - Insurance.Surrey- Twice a month (As and when required).IR35 (Umbrella engagement only).This sits within a large contact strategy programme.Initial phase has focused on telephony which is nearing completion.Next phase moves into chatbot and AI capability whi