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Become a Driving Instructor – Nationwide | Earn Up to £50,000+ with My Four Wheels Looking for a new career with flexibility, independence and great earning potential? My Four Wheels is a 5-star rated driving school with 500 instructors already on the road nationwide — and we’re expanding across the UK. This opportunity is ideal for anyone considering a career change. You don’t need previous instructing experience — just a professional attitude, good people skills and the willingness to learn. We’ll train you from the start and guide you all the way to becoming an Approved Driving Instructor (ADI). Why this opportunity stands out Excellent Earning Potential (£38/hour typical lesson rates) Lesson rates average around £38 per hour, supporting strong income whether you work part-time or full-time. For example, working 32 hours per week can deliver earnings up to £39k per year, and those working 40hrs have the opportunity to reach £50,000+. Total Flexibility You decide when you work — mornings, evenings, weekends, or a full-time diary. It’s a career that fits around your life. Local Work, Less Travel Most instructors teach within 30 minutes of home, typically covering 6–8 postcodes, helping you maximise teaching time and reduce travel. Earn While You Train After passing DVSA Part 2, you are able to apply for a trainee licence, allowing you to begin teaching and earning sooner while completing the final stage of qualification. New Training Academy – Full Support Built In Our new Training Academy provides a structured route through DVSA Parts 1, 2 and 3, combining: • Flexible online learning for theory and preparation, • In-car coaching to build driving and teaching ability, • Live classroom sessions for extra guidance and confidence, • Lesson plans, resources and ongoing support to help you succeed Dual-Control Vehicle Options We can support you with access to dual-control car options through established providers, including new and nearly-new models such as Ford Puma, Renault Clio, MG3 and Vauxhall Corsa, subject to availability. A Rewarding Career You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Training Fees Paid Back in Full All instructors pay for training. Training fees can be paid back in full after you have worked with us for 1 year (ask for details). Eligibility (DVSA Requirements) To apply, you must: • Hold a full UK driving licence for at least 3 years, • Have no more than 5 penalty points, • Have no bans in the last 5 years, • Be reliable, patient, and confident communicating with people Apply Now Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started.

CAD Technician (Aluminium/ Steel) £35,000 - £40,000 + Training + Progression + Company benefits Skelmersdale Are you a CAD Technician with a background in AutoCAD looking for a role working designing for aluminium and steel products with a leading bespoke architectural glazing company who will support your long-term career through progression opportunities and train on their bespoke products? Do you w... ZIPC1_UKTJ

CAD Technician (Aluminium/ Steel/ Manufacture) £40,000 - £45,000 + Training + Progression + Company benefits Skelmersdale Are you a CAD Technician with a background in AutoCAD looking for a role working designing for aluminium and steel products with a leading bespoke architectural glazing company who will support your long-term career through progression opportunities and train on their bespoke prod... ZIPC1_UKTJ

Become a Driving Instructor – Nationwide | Earn Up to £50,000+ with My Four Wheels. We’ll train you from the start and guide you all the way to becoming an Approved Driving Instructor (ADI). Most instructors teach within .

Become a Driving Instructor – Nationwide | Earn Up to £50,000+ with My Four Wheels. We’ll train you from the start and guide you all the way to becoming an Approved Driving Instructor (ADI). All instructors pay for training.

Become a Driving Instructor – Nationwide | Earn Up to £50,000+ with My Four Wheels. We’ll train you from the start and guide you all the way to becoming an Approved Driving Instructor (ADI). Most instructors teach within .

Become a Driving Instructor – Nationwide | Earn Up to £50,000+ with My Four Wheels. We’ll train you from the start and guide you all the way to becoming an Approved Driving Instructor (ADI). In-car coaching to build driving and teaching ability.

Become a Driving Instructor – Nationwide | Earn Up to £50,000+ with My Four Wheels. We’ll train you from the start and guide you all the way to becoming an Approved Driving Instructor (ADI). Most instructors teach within .

When you do visit the UK hub, getting there is easy: we’re based in the centre of Bristol, just a 10 minute walk from the train station. Immersive was founded in 2017, from a cargo container in Bristol, UK we’ve grown to over 300 employees globally, announced funding of more than £150 million a

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

Location: Hybrid - London HQ (Fleet Street) + Remote Department: Customer Success Reports to: Head of Customer Success Base pay + Variable pay up to £10K annual performance-linked incentive Kamma exists to simplify one of the most complex and risky aspects of the housing market, making it clear, accurate, and easy to manage. Property licensing changes frequently, mistakes are costly, and even high-profile figures, such as Chancellor Rachel Reeves, _. We help customers stay compliant without stress, avoid major fines and turn compliance from a cost into a commercial advantage, while supporting higher standards in rental homes across the UK. Our platform has been rebuilt with fast, adaptable technology that allows us to launch new products quickly and respond to regulatory change. With enforcement rising and rent repayment orders set to double, demand for our solutions is accelerating. We already work with major names, including Foxtons, JLL, Knight Frank, Chestertons, Leaders Romans Group and Spicerhaart, and recent integrations open powerful new routes for distribution and growth. We are an AI-native company, always striving to find AI-first solutions. We train team members in new and evolving AI tools. We will work together to automate as many repetitive tasks as possible, allowing you to focus your time on the tasks that add the most value. This is a great time to join. The foundations are strong, momentum is clear, and we are scaling towards Series B revenue levels. You will join a curious, ambitious team motivated by solving problems with pace. Our culture rewards ownership, clarity of thinking and getting things done. It is a rare moment to join with equity options aligned to the impact you will have. Property licensing risk is increasing fast, and as we scale our platform and customer base, Customer Success becomes critical to retention, expansion and trust. We are hiring a Customer Success Manager to join our small but growing Customer Success team. You will be responsible for delivering proactive Customer Success for our mid-sized and Enterprise customers, which is central to retaining and expanding revenue over the next 12 months as we scale towards Series B. This is a new role and a new function at Kamma, with a significant opportunity to shape how we deliver world-class service while segmenting our approach by customer value. Your work will directly influence how we support enterprise customers through high-touch relationships, while enabling excellent, scalable and increasingly self-serve experiences for SMB clients. If you enjoy owning complex customer relationships, driving commercial growth and helping to build scalable systems that allow teams to focus where they add the most value, this role is for you. You will use your technical knowledge, sharp commercial instincts, and execution rigour to deliver value across different customer segments, with a primary focus on mid-sized and enterprise accounts, while supporting the transition to full self-serve support for SMB customers. Success in this role is defined by three outcomes: • Becoming a subject matter expert: on the regulatory complexities around property licensing to add the maximum amount of value to customers., • Operational Excellence: Ensuring successful technical integration for mid-sized and Enterprise customers, fast resolution of complex product queries, and reliable service across all segments. Delivering practical, on-the-ground feedback to help the Head of CS build a high-performing, world-class function., • Retention & Growth: Owning the full client lifecycle from initial setup through renewal, driving commercial expansion and account stability, with variable compensation linked directly to expansion and upsell outcomes. The hands-on work you do covers the full client journey: • Own Client Relationships & Service Delivery: Lead high-touch account management for mid-sized and enterprise customers, while playing a key role in shaping how we scale support for SMBs. As we move towards increasingly automated and self-serve support, you will help design, test, and improve the workflows and tooling that get us there, while stepping in where needed in the interim. You take ownership of the customer journey post-sale, from onboarding and adoption through renewal and expansion., • Onboarding: Lead and execute technical and operational onboarding for mid-sized and enterprise customers, including API integration, setting up the customer for long-term success with Kamma, • Drive Commercial Expansion: Identify, qualify, and close upsell and cross-sell opportunities within your customer portfolio (with the support of the Head of Customer Success)., • Contribute to Scaling: Work closely with the Head of Customer Success, providing practical, real-world feedback on workflows. You will help design and refine automated, self-serve tools and processes to ensure SMB customers receive excellent service at scale, while protecting time and focus for high-value customer relationships., • Experience: 5+ years in Customer Success or similar client-facing roles within SaaS or PropTech, with experience owning relationships for mid-sized or Enterprise customers., • Proven Track Record: Demonstrated expertise in managing complex client programmes and closing revenue opportunities (upsell and cross-sell), • Technical Acumen: You are comfortable speaking about API integrations, data flows, and technical solutions with both product teams and client stakeholders., • Environment: Comfortable in an early-stage environment with evolving processes, and motivated by the opportunity to help define those processes from scratch., • Tech Stack: Tech savvy and AI curious, comfortable learning and using modern tools and CRM systems (we use Intercom, HubSpot, Slack, Monday.com, etc) and other customer analytics and relationship tools., • Purpose and impact: help raise housing standards across the UK, • Strategic visibility: We are a small company, so you will work closely with the senior leadership, including the Head of Customer Success and commercial leadership, • High autonomy: play a foundational role in building a Customer Success function that becomes a true competitive advantage for Kamma, • Salary:, • Base Salary: £45,000 – £55,000 per annum, depending on experience., • Variable Pay: Up to £10,000 annual performance-linked incentive., • Equity: Participation in the company share option scheme., • Hybrid working: two office days per week in our central London HQ, • Great benefits including:, • 25 days holiday, which increases with tenure + we usually close for the Christmas period, • 2 charity days per year, • Pension scheme, health insurance, cycle-to-work scheme, book allowance, home office budget, curiosity budget and more. If you are an experienced Customer Success Manager who wants to own complex customer relationships, shape a function from the ground up and help scale a mission-driven company, we would love to hear from you.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

CAD Technician (Aluminium/ Steel)£35,000 - £40,000 + Training + Progression + Company benefitsSkelmersdaleAre you a CAD Technician with a background in AutoCAD looking for a role working designing for aluminium and steel products with a leading bespoke architectural glazing company who will support your long-term career through progression opportunities and train on their bespoke products?Do you want to join a company which specialise in supplying architectural glazing systems for the construction industry. This company fabricate in both steel and aluminium which means you will play an integral part in creating fabrication drawings for bespoke manufacture.This is an opportunity to join a busy engineering office where you will get involved in all areas of design work, detailing, and technical calculations for specialist manufacture using AutoCAD based on the requirements on clients in the construction industry. This is an excellent opportunity to join a growing business which will invest in your long-term development through progression opportunities such as a pipeline to Design Manager.This role would suit a CAD Technician with a background in AutoCAD looking for a role with a leading bespoke architectural glazing company who will support your long-term career through progression opportunities and train on their bespoke products.The Job: Creating drawings using AutoCAD Amending Technical drawings based on fabrication requirements Monday-Friday with flexible start finish times and an early finish FridayThe Person: HNC, HND or Degree level in Engineering related subject Background using AutoCAD 2D Background drawing for steel and aluminium manufacture *Commutable to Skelmersdale Reference: BBBH25632BKeywords: Graduate, Technical, Construction, Sheet Metal, Glazing, Aluminium, Steel, Engineer, CAD, AutoCAD, Draughtsperson, CAD Technician, Skelmersdale, Bolton, Wigan, Warrington, Liverpool, Chorley, St Helens.If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification., • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling)., • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing is looking for Capital Markets experts to work with our researchers to improve the performance of AI models. You will apply your deep understanding of equity and debt issuance, securities structuring, market microstructure, and pricing dynamics to evaluate and train AI systems. If you enjoy solving complex problems in capital markets and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: • Evaluate LLM models on capital markets topics such as securities pricing, IPO structuring, syndication processes, and fixed income analytics., • Create rubrics to assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: • 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks, or market-making)., • Strong grasp of securities markets, pricing mechanisms, issuance processes, credit analysis, and market microstructure., • Excellent English written communication. Bonuses (Not at All Necessary): • CFA (Level I/II/III), FRM, or MBA in Finance. Perks of Freelancing with Turing: • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Private Equity professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in deal sourcing, due diligence, LBO analysis, and portfolio value creation to evaluate and train AI systems. If you enjoy solving complex problems in private equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on private equity topics such as LBO structuring, deal screening, operational value creation, and exit strategy analysis., • Create rubrics to assess model capabilities on tasks like fund return modelling (IRR, MOIC), due diligence frameworks, and portfolio company analysis., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Private Equity (e.g., buyout funds, growth equity, distressed investing, or PE-focused advisory)., • Strong grasp of LBO modelling, deal evaluation, portfolio company management, and fund economics., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), CPA, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Financial Consulting professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in transaction advisory, valuation services, restructuring, and strategic finance consulting to evaluate and train AI systems. If you enjoy solving complex problems in financial consulting and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on financial consulting topics such as business valuation, due diligence, financial restructuring, and forensic accounting., • Create rubrics to assess model capabilities on tasks like purchase price allocation, impairment testing, working capital analysis, and financial risk assessment., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Financial Consulting (e.g., Big 4 advisory, transaction services, valuation, restructuring, or management consulting with a finance focus)., • Strong grasp of valuation methodologies, due diligence frameworks, financial restructuring, and advisory engagement management., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), CA/CPA, ABV, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing is looking for Portfolio Management experts to work with our researchers to improve the performance of AI models. You will leverage your expertise in asset allocation, portfolio construction, rebalancing strategies, and performance attribution to evaluate and train AI systems. If you enjoy solving complex problems in portfolio management and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: • Evaluate LLM models on portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization., • Create rubrics to assess model capabilities on tasks like performance attribution, benchmark comparison, factor analysis, and rebalancing decisions., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: • 2+ years of experience in Portfolio Management (e.g., mutual funds, hedge funds, pension funds, endowments, or wealth management)., • Strong grasp of modern portfolio theory, asset allocation, risk management frameworks, and investment performance measurement., • Excellent English written communication. Bonuses (Not at All Necessary): • CFA (Level I/II/III), CAIA, or MBA in Finance. Perks of Freelancing with Turing: • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Investment Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in M&A advisory, capital raising, financial modeling, and deal structuring to evaluate and train AI systems. If you enjoy solving complex problems in investment banking and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on investment banking topics such as M&A deal analysis, LBO modelling, accretion/dilution analysis, and pitch book creation., • Create rubrics to assess model capabilities on tasks like deal structuring, valuation (DCF, precedent transactions, comps), and due diligence assessments., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring)., • Strong grasp of financial modelling, deal structuring, valuation methodologies, and corporate finance principles., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III) or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Venture Capital professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in startup evaluation, funding rounds, cap table management, and early-stage market analysis to evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing., • Create rubrics to assess model capabilities on tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund operations, or startup advisory)., • Strong grasp of startup valuation methods, term sheet negotiation, cap table mechanics, and venture fund economics., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), MBA in Finance, or operational experience at a high-growth startup. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing is looking for Accounting professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in financial reporting, audit, tax compliance, and accounting standards to evaluate and train AI systems. If you enjoy solving complex problems in accounting and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: • Evaluate LLM models on accounting topics such as revenue recognition, lease accounting, consolidation, and tax provision calculations., • Create rubrics to assess model capabilities on tasks like journal entry analysis, financial statement preparation, audit procedures, and GAAP/IFRS compliance., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: • 2+ years of experience in Accounting (e.g., public accounting, corporate accounting, audit, tax, or financial reporting)., • Strong grasp of US GAAP or IFRS, financial statement preparation, audit methodologies, and regulatory compliance., • Excellent English written communication. Bonuses (Not at All Necessary): • CA, CPA, ACCA, CMA, or MBA in Finance/Accounting. Perks of Freelancing with Turing: • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Trading professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in trade execution, market analysis, order flow dynamics, and risk management to evaluate and train AI systems. If you enjoy solving complex problems in trading and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on trading topics such as execution strategies, market microstructure, order book analysis, and position management., • Create rubrics to assess model capabilities on tasks like trade sizing, risk/reward evaluation, technical analysis, and market impact assessment., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Trading (e.g., equities, fixed income, FX, commodities, or derivatives trading at a bank, hedge fund, or prop trading firm)., • Strong grasp of market dynamics, execution algorithms, risk management, and trading strategies across asset classes., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), FRM, Series 7/63, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Growth Equity professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in evaluating high-growth companies, revenue scaling analysis, and minority/majority investment structuring to evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on growth equity topics such as growth-stage company valuation, unit economics analysis, and investment memo writing., • Create rubrics to assess model capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage VC, or growth-focused PE funds)., • Strong grasp of growth-stage valuation, unit economics, scaling metrics, and investment structuring for minority and majority stakes., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), MBA in Finance, or experience in high-growth operating roles. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Research analysts to work with our researchers to improve the performance of AI models. You will apply your expertise in equity research, sector analysis, financial modelling, and investment thesis development to evaluate and train AI systems. If you enjoy solving complex problems in financial research and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on research topics such as equity valuation, sector analysis, earnings estimate modelling, and investment thesis formulation., • Create rubrics to assess model capabilities on tasks like DCF modelling, comparable company analysis, industry research, and initiating coverage reports., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Equity Research, Credit Research, or Sell-Side/Buy-Side Research., • Strong grasp of financial statement analysis, valuation methodologies, sector dynamics, and investment recommendation frameworks., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III) or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

THE POSITION Our roster has an opening with your name on it We’re growing our Market Making Engineering team that works on some of the coolest software in the industry - the systems that quote, price, and manage risk in real time for high-volume, high-velocity sports markets. This work spans the full RFQ/quote lifecycle (request → quote → accept → outcome) in low-latency, event-driven services. The team you will join works with quantitative analysts and trading/risk stakeholders to implement and run market making strategies, while proactively identifying opportunities for technical innovation within the Risk and Trading organization. Our stakeholders are the people who establish prices and manage risk for the #1 sports book in America! We’re looking for a Senior Staff Software Engineer. As a Senior Staff Software Engineer, you will lead an empowered, multidisciplinary team, autonomously tackling complex challenges that provide the very best experiences and products for a growing community of millions of players. The ideal candidate will have the confidence to propose pragmatic solutions to complex problems and be eager to learn from and educate others. You will help make technical decisions that will impact the broader organisation. This necessitates empathetic communicators with a commitment to outreach, documentation, assisting others, and continuous improvement. THE GAME PLAN Everyone on our team has a part to play • Experience in both quantitative modeling practices and coding. You will be assisting in the creation of models/strategies and working with other engineers on your team to productionalize this software., • You work in project ideas with stakeholders, and peers, • You own parts of product and technology & become subject matter experts, • You write simple and extendable code following standards and best practices. You test your code thoroughly, • You help balance customer requirements with the team requirements, • You lead team evolution by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews, • You classify, store, and handle data in accordance with FanDuel policies, • You track security risks and mitigate and/or escalate them in a timely manner, • You focus on operational excellence, constructively identifying problems and proposing solutions, • You take on projects and make software enhancements that improve the team software and processes, • You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it, • You are able to train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture, • Your influence extends beyond the team at and org level, • You foster a constructive dialogue and seek resolutions in a professional way, • You help recruit and interview for your team, • You estimate stories/tasks accurately and deliver them in time, • You mentor and help to develop others, • On-call rotation where required. You provide excellent customer support, • You keep yourself up to date with market standards, open-source frameworks, • You build and evolve components that support real-time quoting and decisioning with careful attention to latency, throughput, and correctness, • You implement and maintain risk controls and guardrails (e.g., exposure checks, limits, throttling/filters, kill switch patterns), • You ensure high-quality decision logging so strategies can be debugged, replayed, and improved using real quote/fill outcomes, • You partner with quants and stakeholders to define and monitor key metrics (e.g., quote ratio, win rate, expected vs realized margin, exposure/capital utilization), • Most importantly, you are; humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce, • Creative problem-solving ability, • A passion for learning and always getting better THE STATS What we’re looking for in our next teammate • BA/BS degree in Computer Science or related software engineering field, or equivalent practical experience. 7+ years of relevant work experience OR 5+ years of relevant work experience with a MS in Computer Science or related technical field., • At least one frontend specialisation in any of the following: building native apps (Kotlin, Swift) or web apps using React (JavaScript or TypeScript) or hybrid apps using React Native, • Experience building or contributing to an advanced shared library, design system, or SDK, • Understanding of modern architectures, design patterns, and platform nuances, • Knowledge of web libraries and frameworks, such as Typescript, React, Angular, and/or Bootstrap, • Familiarity with full stacks, single-page applications and/or micro frontends, • Expert experience with testing concepts, test tools, and integrating testing and best practices in the SDLC, • Strong sense of ownership, urgency, and drive., • Familiarity working in an Agile environment, • Passion for working within a fast-paced environment and can adapt to change PLAYER BENEFITS We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect: • An exciting and fun environment committed to driving real growth, • Opportunities to build really cool products that fans love, • Career and professional development resources to help you refine your game plan for owning and driving your career and development, • Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another Diversity, Equity and Inclusion FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgment or harassment. Our focus is on developing employees so that they reach their full potential. The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!

We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. Strong opinions on when AI should replace human effort versus augment it — and the judg

About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, IBM, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role: As Senior Channel Sales Manager for EMEA, you'll own the regional partner ecosystem end-to-end — recruiting and onboarding channel partners, building joint business plans, and driving the co-sell motion that generates partner-sourced pipeline and revenue. You'll run regional account mapping and work shoulder-to-shoulder with our Enterprise AE teams to ensure partners are enabled, engaged, and closing. This is a quota-carrying role where you'll be expected to build and grow a focused set of go-to partners that consistently deliver against regional sales goals. If you know how to turn partner relationships into revenue and thrive in a lean, fast-moving environment, this role was built for you. What you'll be doing: Own partner sourced (partner originated) pipeline and revenue (quota) number in region Recruit, on-board and manage partners to drive co-sell Establish and build business plans for regional go-to partners that align to sales goal Present the Teleport portfolio and partner program benefits to partner leadership Continuously work with cross-functional teams to train/enable/certified partners in region Drive account mapping and regional sales meetings to build partner relationships Own regional partner MDF plans and budgets for accelerating end-user pipeline Monitor and report on sales and operational results based on OKRs Manage and drive partner engagement with internal sales organization for resell and co-sell Work closely with regional AE teams on partner engagement and co-sell goals and support them on quota attainment and pipeline generation What We're Looking For: Proven track records of sales over-performance 8+ years partner/channel sales experience Deep understanding of how channel partners work with ISV’s to drive successful co-sell Key partner relationships and network within EMEA channel partners Strategic business and marketing planning capabilities Excellent interpersonal skills and a proven capacity to build strong relationships and close business with partners Demonstrated ability to work cross-functionally especially with internal sellers MSP and distribution experience preferred Must be self-motivated, have strong self-management skills and should demonstrate basic leadership qualities Bachelor’s degree or equivalent required Must be located in the UK or Ireland Nice to Have: Ideally fluent language skills in German or French Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. • Extensive health coverage, • Annual expense budget, • Rest and recovery policies that maximize your ability to recharge, • Investment in your future with retirement savings plans, • Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at _

TECHNICAL CUSTOMER SUPPORT SPECIALIST Salary: £30,000 Location: Northwich - hybrid Contract: Permanent Hours: Mon-Fri (08:00-17:00) or (08:30-17:30) This role is perfect for someone who thrives on helping others and enjoys the challenge of providing expert technical advice across a diverse product range. You will be at the heart of customer interactions, supporting both clients and internal teams with your knowledge of the products. Job Spec: • Provide comprehensive technical support through telephone and ticketing systems, ensuring all queries are addressed promptly and accurately., • Deliver hotline and ticket-based assistance directly to customers, offering first-level qualification of complaints and processing goodwill requests up to specified limits., • Advise customers on technical and commercial matters via phone calls and live chat platforms, ensuring clear communication and effective solutions., • Support customers in selecting products, cross-referencing alternatives, especially during product releases or phase-outs, and identifying cross-selling opportunities., • Assist with service inquiries related to repairs, modifications, or replacement parts by providing detailed information and quotations for standard services., • Perform application tests as required, documenting results thoroughly to ensure transparency and knowledge sharing within the team., • Train new sales employees and trainees on technical aspects of products, fostering a culture of learning and collaboration across departments., • Document all customer contact data and activities accurately, • Initiate corrective actions when documentation errors are identified, contributing to continuous improvement in processes., • Feed the internal knowledge base with expert insights gained from daily interactions, supporting ongoing development for yourself and your colleagues. Person Spec: • A postgraduate with a qualification in Electrical Engineering is essential, • Experience or knowledge of Electrical Engineering experience, • Proficiency in using SAP or similar CRM systems Apply today by clicking on the link - take the first step towards joining a supportive team where your expertise truly matters. Keywords: customer support, technical expertise, electrical engineering, collaborative environment, problem-solving, training opportunities, flexible working opportunities, knowledge sharing Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Chief Scientific Officer Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership role sitting across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about long-term platform capability, while still being technically hands-on enough to solve complex engineering and operational challenges. • Lead the design and evolution of our ML platform, infrastructure and MLOps capability, • Build and maintain scalable, reliable and secure systems for model training, testing, deployment, monitoring and lifecycle management, • Develop the infrastructure and tooling that enable ML Engineers, Data Scientists and Researchers to work efficiently and ship models with confidence, • Design robust workflows for CI/CD, model versioning, reproducibility, experimentation, feature management and release management, • Own and improve the production environment for machine learning systems, ensuring strong standards for availability, performance, observability and resilience, • Define and implement monitoring across model and platform layers, including system health, data quality, drift, latency, throughput and cost efficiency, • Build or optimise internal self-service tooling and platform capabilities to reduce friction for teams working on ML use cases, • Partner closely with ML, Data, Software and Platform Engineering teams to productionise models and improve the end-to-end ML development lifecycle, • Support the scaling of infrastructure for both training and inference workloads, including high-throughput, real-time or compute-intensive use cases where relevant, • Drive best practice in governance, security, compliance, auditability and operational rigour across the ML lifecycle, • Improve the efficiency and cost-effectiveness of ML systems, including cloud resource usage, compute environments and deployment patterns, • Mentor engineers and act as a technical leader across ML platform and operations topics, • Help define the roadmap for ML enablement, ensuring the platform can support current needs while scaling for future growth You will have experience working in high growth, fast paced tech-first environments. You are passionate about building & launching quality products that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. • Proven experience in a senior MLOps, ML Platform, ML Infrastructure, Platform Engineering or Machine Learning Systems role, • Strong hands-on background in software engineering and cloud infrastructure, ideally with direct experience supporting production machine learning environments, • Experience building and operating systems that support the full ML lifecycle, from experimentation and training through to deployment and monitoring, • Strong knowledge of Python and sound engineering principles, including testing, automation and code quality, • Strong experience with cloud platforms such as GCP, • Experience with Docker, Kubernetes and modern containerised deployment patterns, • Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration, • Experience with tools such as Airflow or similar platform and orchestration technologies, • Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility, • Experience designing scalable infrastructure for ML workloads, including training, batch inference and real-time serving, • Strong appreciation of reliability, security, governance and operational excellence in customer-facing or production-critical systems, • Ability to operate across both strategic and hands-on technical work, • Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves • Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads, • Experience with GPU infrastructure, distributed training or high-performance compute environments, • Familiarity with feature stores, model registries and automated retraining pipelines, • Experience building internal developer platforms or self-service ML tooling, • Experience in regulated, high-security or high-availability environments, • Experience leading or mentoring engineers in a scale-up or high-growth technology business, • Familiarity with responsible AI, model governance or risk controls in production ML setting, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

aytm “ask your target market” is looking to hire a Senior Customer Engagement Specialist, to join our growing Customer Engagement team. This position is based in the UK (UK time) and will be responsible for partnering with customers to deliver their projects, while enabling them to become increasingly self-sufficient. The Senior Customer Engagement Specialist will align with multiple teams in fulfilling day to day customer expectations. They will provide administrative and executional support to complete tasks with speed and accuracy in an agile and customer-focused environment. They will lead customer conversations, support them in launching surveys, and deliver education and training on the aytm platform. About Us aytm delivers state-of-the-art insights automation technology and expert guidance that’s focused on providing answers for the clients of today, while evolving a platform that supports those curious about tomorrow. By advancing research with transparency and flexibility, aytm helps you connect to a community of people, optimise your products, positioning, and concepts, and get from idea to market faster. We have a world-class platform, top-tier clients, and a creative and energetic team. Responsibilities: • Work asynchronously across time zones using Slack as the primary communication channel., • Communicate with clarity, context, and professionalism in written async formats to keep global teams aligned without requiring real-time availability., • Deliver issue resolution for customers via email, chat and phone, in a dynamic fast-turn environment., • Identify, trouble-shoot and escalate any tool/platform-related technical issues to internal stakeholders., • Provide customers with technical guidance on aytm’s platform in partnership with stakeholders., • Conduct pre launch checks of client programmed surveys and assist with technical survey edits/ optimisation., • Review and set-up basic survey logic for customers and train on advanced logic and techniques., • Launch and execute fieldwork in partnership with the panel operations team., • Assist clients with post-field services, including data cuts and filters within the platform’s reporting functionality., • Perform platform related administrative tasks, organise materials, and navigate customer-related filing systems., • Perform independently and collaborate as a part of a team in a scaling high growth company. Required Qualifications: • 2-3 years of experience in Project Management, Customer Service or other technical roles., • Demonstrated experience with online platforms and tools., • Direct experience using one or more online survey platforms oriented toward DIY use (Qualtrics, Decipher, Survey Monkey, SurveyGizmo / Alchemer, or QuestionPro) is a plus, • Market research and/or consumer insights background and familiarity with all parts of the online market research life cycle (questionnaire design, survey programming, fielding, data analysis, and reporting) is a plus., • Strong interpersonal skills. Must be able to collaborate internally as a part of a team and externally with clients., • Ability to work in a fast-paced, deadline driven environment., • Strong organization/prioritization abilities., • Strong structured thinker with the ability to tackle ambiguous problems using logic and resourcefulness., • Ability to manage priorities and execute tasks with minimal supervision., • Proactive and committed to continuous professional development., • Proficient in using Google Workspace and Microsoft Office. Advanced Excel knowledge is a plus., • Ability to be a constructive contributor to a rapidly growing team and remote company culture. What we offer: A work environment built around empathy, creativity, curiosity, organic growth and an abundance mindset. We’re a fun and vibrant group of people, dedicated to putting in the hard work to make a platform we are proud of, serving the needs of our clients with empathy, and making aytm an incredible place to work. We were awarded 2024 Inc 5000 Fastest-Growing Private Company and 2025 Inc Best Places to Work.. We’re also fully virtually, which means you’ll be working remotely from the location of your choosing (home, coffee house, library). While being a Zero-commute company and providing you with an amazing level of freedom, convenience, and flexibility, it requires a certain inner discipline and capacity to be effective at a distance. Remote work experience is preferred, but not required.

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to_and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to _, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio’s next Technology Partner Alliance Manager, EMEA About the job This position is needed to create, refine and execute the Twilio Technology channel strategy in key selling markets across EMEA. Reporting into the Global Head Technology Alliances you’ll recruit, train and engage partners to recommend Twilio to their customers. To engage partners you’ll leverage your skills to craft joint demand generation strategies and drive ROI with our partner marketing team. You will lead joint business planning and drive execution across cross-functional teams to deliver partner-sourced and partner-influenced revenue. This includes activating sell-to, sell-with, and sell-through motions that generate measurable impact. Responsibilities In this role, you’ll: • Develop, refine, and execute the regional partner strategy to support Twiliot’s growth across the technology ecosystem, • Own strategic relationships with key technology partners, driving partner-sourced and influenced revenue through field alignment and enablement, • Define and execute joint business plans and go-to-market motions with partners, including enablement, lead sharing, marketing, and pipeline development, • Conduct territory and opportunity planning with Twilio sellers and partner teams to identify and prioritize high-impact initiatives, • Support and track performance of co-sell and sell-with motions, ensuring accurate attribution of partner-influenced revenue and incentive-based activity, • Build and manage a partner-sourced and influenced pipeline, and report against performance targets including customer adoption metrics, revenue contribution, and integration usage, • Educate and activate partner field teams on Twilio’s platform, with a focus on value proposition, integration use cases, and market differentiation, • Lead internal enablement efforts, ensuring Twilio CSMs and field teams understand how to leverage partners to drive customer success and revenue, • Collaborate with Marketing to develop and execute joint campaigns, secure MDF funding, and drive demand generation activities, • Build strong relationships across internal functions—Sales, Marketing, Product, Services, and Partner Operations—to align on strategy and execution Lead quarterly business reviews (QBRs), executive alignment meetings, and regular performance check-ins with partners • Support onboarding of new partners aligned to strategic gaps and whitespace opportunities in the ecosystem Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • 4–6 years of experience in partner management, strategic partnerships, business development, or management consulting, • Proven track record of exceeding revenue targets and driving measurable business outcomes through partner ecosystems, • Demonstrated success in building and scaling strategic partner programs that deliver long-term revenue growth and customer impact, • Strong analytical and data-driven approach; able to make decisions based on insights and continuously optimize partner performance, • Deep domain expertise in advertising, data infrastructure, and/or marketing technology, • Familiarity with complex solution selling processes; skilled at building consensus and executive-level relationships, • Excellent cross-functional collaboration skills; comfortable navigating ambiguity in a fast-paced, high-growth environment, • Self-starter with strong organizational skills and a bias for action, • BA/BS degree required; MBA is a plus but not required Desired: • Excellent written and verbal communication skills with strong executive presence, • Proven ability to influence and build trusted relationships across all levels of an organization, both internally and externally, • Familiarity with API-first, developer-centric platforms and modern data stack technologies, • Understanding of CPaaS, CCaaS, VoiceAI, CDP, or marketing automation tools and how they fit into enterprise technology ecosystems, • Experience in high-growth, fast-paced SaaS environments with demonstrated adaptability and resourcefulness, • High energy, collaborative mindset, and a willingness to travel as needed to support partner engagement and field activities Location This role will be remote AND based in the UK. Travel We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 25% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call . Additionally, we empower employees to build by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, _ Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Are you a Frontend Software Developer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for enthusiastic fFrontend Software Developer professionals who have a desire to commit to a great team and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. Responsibilities As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a FrontEnd Software skillset (e.g.: hazard exposure platforms, conflict incident visualisation, custom data visualisation tools, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Working with Data Science and Data Engineering volunteers to enhance software used in data processing, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Three or more years of professional experience working in a software development team, as a developer, tester or other similar role, • For web development: experience in HTML, CSS, JavaScript, React and ideally at least one server side language (PHP, Python etc)., • Experience and proficiency working with Python, • Experience of or demonstrated willingness to learn testing regimes including unit and regression testing and continuous integration., • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience of developing with ESRI’s GIS product suite and/or other geospatial technology., • Experience with Systems Engineering, • An interest in data-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience. Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

Company Overview: Saluda is a global healthcare company that is redefining Spinal Cord Stimulation (SCS) therapy at the intersection of automated algorithms, real-time diagnostics, and ground-breaking clinical evidence. The Saluda difference is defined by Dose-Control Technology via measurement of physiological response. At Saluda, we challenge boundaries. We innovate and think beyond the conventional. We disrupt. With the passion and energy of an accomplished team of seasoned experts, our focus is to revolutionize the standard of care in the neuromodulation space by transforming the lives of patients suffering from debilitating pain. Job Summary: The Territory Manager's primary responsibility is to achieve the designated territory's sales revenue targets. This role involves overseeing all aspects within the designated Territory to ensure the company meets its sales revenue targets. Additionally, the role demands a strong ambition to achieve market-leading patient outcomes. Collaborating closely with the Regional Manager, Country Manager and/or Area Director and clinical sales representatives to drive the success and growth of the company within the assigned region. Responsibilities: • Grow the business within new and existing accounts to meet or exceed revenue goals and objectives, • Develop and maintain strong relationships with new and existing territory customers, • Develop and maintain a comprehensive understanding of Chronic Pain Therapies in a competitive environment, • Train and educate new and existing accounts on the merits and proper clinical usage of Saluda’s products by delivering presentations and demonstrations using appropriate formats and platforms (e.g., slides, manuals, etc) to keep customers abreast of new and existing products, • Recognise and understand competitive products, their features, and strengths in relation to Saluda’s products, • Identify and develop new customer opportunities, within the designated territory, • Serve as a trusted consultant for existing accounts, leveraging knowledge to drive sales, • Provide a high-quality level of service with patient outcomes held in the highest regard, • Visit customers and patients in a clinical environment (hospitals, operating theatres, clinics, etc), • Attend physician education conferences and events, • Identify and act on growth opportunities in the accounts they are responsible for, • Conduct monthly forecasting, • Attend and contribute to meetings and planning calls, focusing on key accounts, • Drive sales in collaboration with the clinical specialist team, • Perform other duties as assigned Performance Expectations: The Territory Manager is expected to forecast and achieve annual and quarterly sales targets for their territory and provide exceptional service to accounts. There is a requirement to travel into the field at least 4 out of 5 days, work closely with clinical sales employees, understand and utilise global sales messaging with customers to develop and implement effective short, mid, and long-term strategies to meet business objectives, and appropriately utilise SFDC and sales tools to engage with customers. They will plan and organise their daily work routine, adhere to company policies, conduct business in an ethical manner, keep up to date with admin requirements (such as H&S, Sales Force, Arena Training, business expenses, PowerBI, etc.) and sometimes communicate with patients and client’s afterhours and on weekends. Experience: • Bachelor's degree or equivalent combination of education and experience, • At least 2 years of experience in implantable medical devices, • SCS experience and/or patient interaction experience, • Demonstrated success in previous sales role, indicating a high level of sales performance, • Analytical skills, including statistical analysis preferable, • PC skills necessary (MS Office/Excel) and experience with sales force automation tools, • Excellent written and verbal skills, • Computer proficiency, • Valid driver’s license

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. The Opportunity: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. You'll be working alongside our pre-training data team, focused on one of the most foundational challenges in training frontier LLMs: acquiring the best possible pre-training data. The data we collect is upstream of everything. It directly shapes the capability of the models we train. As our first dedicated data acquisition engineer, you will spearhead and evolve systems that crawl the web at massive scale, rapidly ingest data from strategic partnerships, and build specialized tooling to maximize recall from high-value sources. You'll collaborate closely with pre-training data researchers and engineers to ensure that our sourcing of data maps to our training needs, to ensure we have the most capable pre-trained models. To deliver the highest-quality, diverse, and most comprehensive data corpus to fuel the pre-training of frontier models for software development. Design, build, and operate a large-scale web crawler responsible for acquiring all openly accessible data on the internet Develop specialized deep crawlers targeting high-value sources to improve recall and coverage In collaboration with data researchers, own a long-term road map for data acquisition Build observability, monitoring, and debugging tooling to ensure reliability and transparency across crawl infrastructure Collaborate with pre-training, post-training, and evaluations teams to align data acquisition priorities with model training needs Build high-throughput ingestion pipelines for rapidly onboarding partner data and evaluating it for quality Strong distributed systems background with proven experience building and operating large-scale infrastructure — data pipelines, web crawlers, or similar Proficiency in Python, and comfortable optimizing performance and debugging complex systems under production conditions Hands-on experience with web crawling or large-scale data extraction: understanding of HTTP protocols, distributed job queues, and data parsing at scale Familiarity with cloud platforms (AWS) and container orchestration (Kubernetes, Docker) for deploying and managing high-throughput workloads Awareness of the non-technical dimensions of internet-scale crawling: data privacy, robots.txt adherence, and responsible crawl practices Nice to have: Prior experience pre-training LLMs Experience in building trillion-scale SOTA pre-training datasets Experience translating research to production at scale Intro call with one of our Founding Engineers Technical Interview(s) with one of our Members of Engineering Team fit call with the People team Final interview with one of our Founding Engineers Fully remote work & flexible hours 37 days/year of vacation & holidays 16 weeks of flexible, full-pay parental leave Health insurance allowance for you & dependents Company-provided equipment Well-being, always-be-learning & home office allowances Frequent team get togethers Diverse & inclusive people-first culture

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.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. Find our AI notice here: https://lifeatspotify.com/ai-notice

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Engineering Manager - Platform - Usage This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for a proven leader who enjoys guiding teams in solving complex workflow and systems problems, driving improvements in reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineering Managers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: • Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development., • Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact., • Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems)., • Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries., • Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil., • Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers. What Makes You a Great Fit: • Experienced in people management, including conducting regular 1:1s, delivering candid feedback, and supporting career growth and performance conversations., • You are a leader who empowers engineers, focusing on setting clear direction, aligning on outcomes, and identifying risks early rather than providing task-level oversight., • Transparent and direct by default; you advocate clearly for your reports and proactively resolve ambiguity or conflicts, especially when priorities collide., • A strong communicator who thrives in a fully remote and globally distributed environment, comfortable collaborating asynchronously across time zones and cultures., • You take initiative and can move work forward in complex, systems-focused problem spaces, such as stateful systems, eventual consistency, and reconciliation loops. Requirements: • Minimum 2 years of experience managing software engineering teams., • Prior experience as an Individual Contributor (IC) in a related engineering role for at least 3 years., • A strong software engineering background, ideally including experience in backend systems (like Go), sufficient to credibly engage in technical design discussions and challenge the team toward strong decisions., • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability., • Demonstrated ability to manage delivery across multiple concurrent projects, align stakeholders with competing priorities, and clearly communicate risks and timelines., • Comfortable working with engineering teams who have a strong sense of autonomy in their decision-making., • Deeply customer-focused, consistently grounding technical decisions in real-world user and business impact., • Comfort with AI-assisted tooling and an expectation that you are curious and comfortable integrating AI-powered tools into a team's workflow. Bonus Points For: • Experience with high-volume billing systems, usage metering, and customer-facing cost management applications (like CMAB)., • Practical experience implementing and automating complex pricing logic, promotions, discounts, rebilling, and usage forgiveness, while ensuring strong auditability., • Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and compliance or system refactoring related to IT General Controls or Role-Based Access Control (RBAC)., • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems., • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)., • Experience contributing to or maintaining open source projects. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The AppCore Stacks squad owns the systems that create, configure, reconcile, migrate, and operate Grafana Cloud stacks at scale. A stack is the customer-facing Grafana Cloud environment that connects an organization to Grafana and the backend services it uses, including Mimir, Loki, Tempo, plugins, dashboards, data sources, and stack-level configuration. Our work sits at the intersection of product, platform, and operations. We build the control-plane services and workflows that keep stack state aligned across grafana.com, Stack State Service (SSS), Hosted Grafana, cloud regions, and the underlying Grafana Cloud infrastructure. When this domain works well, customers get reliable stack creation, safe configuration rollout, predictable migrations, and fewer manual operational interventions. • Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration, • Collaborate across SSS, grafana.com, and deployment configurations to ensure stack lifecycle workflows remain reliable, observable, and resilient, • Improve operational efficiency by reducing deployment complexity (e.g., aiming for single PR regional SSS deployment) and contributing to the Stack Config Reconciliation project, • Manage rollout mechanisms for provisioned plugins, dashboards, data sources, Grafana versions, release channels, and stack-level configuration, • Support new region and cluster rollouts, including the operational paths required to bring stacks online safely in new Grafana Cloud regions, • Improve incident response and recovery paths for stack misalignment, reconciliation failures, plugin rollout issues, and Hosted Grafana integration failures, • Partner with Product, Hosted Grafana, Infrastructure, Support, and adjacent AppCore squads on customer-impacting stack lifecycle work, • Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations, • You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: • Writing efficient, readable, and easy to maintain code, • Implementing new microservices or systems, • Collaborating with teammates and other departments to reach consensus on proposed solutions, • Coordinating with product and UX when needed, • Responding to customer requests and feedback, • When ready, participating in our follow-the-sun OnCall rotation, • Participating in team decisions, such as roadmap planning and prioritization Requirements: • You have at least 1 year of fully remote work experience, • You have some experience working on a SaaS platform and are familiar with common distributed systems concepts (e.g., scalability, multi-tenancy, HA)., • Have professional experience with Golang and be willing to work across both backend service and application code, • Care deeply about developer and user experience and the quality of the products that you work on, • Have some experience contributing to the delivery of projects, from initial brainstorming to shipping a product to the customer., • You write clean, well-tested software that other engineers can understand, operate, and maintain, • Can take on well-defined tasks, break them down, and execute iteratively to deliver working solutions and gather feedback., • You are willing to collaborate across teams and ensure your work is aligned with the needs of other squads and external stakeholders., • Familiarity with Kubernetes in AWS, GCP, or Azure, and exposure to infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Experience participating in blameless incident response and contributing to post-incident reviews. Bonus Points For: • Experience with TypeScript/Node.js, • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems, • Experience with Jsonnet/Tanka, Terraform, Flux, Argo, or similar deployment/configuration tooling, • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems, • Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch Compensation & Rewards: In United Kingdom, the compensation range for this role is GBP 72K - GBP 90K. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Build measurement literacy within the Growth and Acquisition teams: train stakeholders to interpret the LTV/CAC related metrics, understand the difference between attributed and incremental performance, and use self-service reporting with confidence. Build and maintain the performance marketing repo

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time. The Opportunity: As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source _ and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes. Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system What Makes You a Great Fit: • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points For: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Job Title: Account Manager / Contract Manager / Customer Account Manager - Field Based - East Anglia Salary: £38,000 - £42,000 + Bonus + Company Car + Benefits Location: East Anglia & Surrounding Areas - Norwich, Ipswich, Bury St Edmunds, King's Lynn, Colchester, Great Yarmouth The Role We are looking for an experienced Account Manager / Contract Manager / Customer Account Manager to join a market-leading service provider with ambitious growth plans for the next 12 months. This field-based role covers customer sites across Norfolk & Suffolk ensuring exceptional service delivery, operational efficiency, and contract performance. Key Responsibilities - Account Manager / Contract Manager / Customer Account Manager Contract Management Manage multiple customer accounts, ensuring all services meet contractual agreements and KPIs. Build and maintain long-term relationships with senior client contacts. Identify and secure opportunities to upsell additional products and services. Represent the business at client meetings, service reviews and user groups. Maintain consistent communication at all levels of the customer organisation. Operational Management Lead and organise the Contract Delivery Team (CDT) to meet daily service schedules. Liaise with Customer Services to ensure requirements are met in full. Recruit, train, and develop team members to deliver excellent service. Monitor performance, address service issues, and drive improvements. Manage urgent deliveries, holiday cover, and resource allocation. Ensure all deliveries have accurate, compliant paperwork. Quality & Compliance Promote a quality-first culture across all contracts. Work with operational teams to improve processes and reduce inefficiencies. Conduct internal audits and maintain compliance with company procedures. Collaborate with Customer Services to resolve customer issues quickly. Performance & Reporting Set and monitor KPIs and service level agreements. Produce accurate daily, weekly, and monthly performance reports. Monitor budgets and report any cost variances. Use company systems to track contract performance and service delivery. Skills & Experience Required Proven experience as an Account Manager, Contract Manager, or Customer Account Manager in service delivery, logistics, distribution, or facilities management. Strong client relationship management and stakeholder engagement skills. Excellent organisational skills and ability to manage multiple contracts. Leadership experience, with a proven track record in team management. IT literate with strong reporting and analytical skills. Full UK driving licence - field-based role covering East Anglia. Benefits £38k - £42k basic salary (DOE) Annual bonus scheme Company car Pension scheme Career progression opportunities in a growing business If you are a proactive, commercially minded Account Manager / Contract Manager / Customer Account Manager looking for a rewarding field-based role in East Anglia, apply today. Mandeville is acting as an Employment Agency in relation to this vacancy.

We are seeking a Clinical Customer Success Executive with a strong clinical and corporate background to join our team. This role leverages your medical expertise to drive client satisfaction and successful adoption of Hippocratic AI’s solutions. This role will partner with and report to the Chief Medical Officer. While this is a remote role, it requires regular travel (up to 5 days a week) to client locations in London and regular in-office collaboration in Palo Alto, CA. Responsibilities: Build and maintain strong relationships with healthcare executives and clinical leadership, serving as a trusted medical advisor. Lead end-to-end product implementations, ensuring alignment with physician workflows and clinical decision-making processes. Provide clinical expertise to inform strategic decisions, particularly in areas such as diagnostic support and patient outcomes. Train clinical leaders on the use of Hippocratic AI solutions to address complex medical scenarios. Identify and advocate for advanced clinical use cases of AI technology to enhance care delivery and improve operational outcomes. Collaborate with internal teams (sales, product, engineering) to translate client feedback into impactful product enhancements. Define and track success metrics, including clinical outcome improvements, adoption rates, and operational efficiencies. Travel extensively to client sites to engage with physician teams and participate in in-office strategy discussions in Palo Alto. Qualifications Must-Have: Active Medical Doctor (MD) license 5 years minimum of clinical experience Proven success in customer-facing roles, such as customer success, account management, or healthcare leadership. Strong background in project management. Strong communication and leadership skills. Ability to travel extensively Preferred: Experience with AI or technology integration in healthcare. Advanced understanding of healthcare workflows, compliance, and clinical outcomes. 3+ years in corporate or health technology roles

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.