Math jobs in LondonCreate job alerts

Are you an experienced International School Math Teacher looking for a full-time fixed-term role in an outstanding international school setting?\n \n \n This International School Math Teacher role is based at a leading independent international school in St John's Wood and will run for the 2026-2027 school year. The school delivers an American education in an international setting, using North American ed...\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ZIPC1_UKTJ

Maths Graduate Teaching Assistant – KS5 Maths Support\n \n Location: Tower Hamlets\n Contract: September 2026 – July 2027 (Full Academic Year)\n Hours: 8:30am–4:15pm, with a 45-minute lunch break\n Pay: £152.92 per day, including holiday pay\n Interviews: ASAP\n \n \n Are you a Maths graduate looking to gain valuable experience in education?\n \n \n An Ofsted-rated ‘Outstanding' secondary school in Tower Hamlets is seeking a Math...\n \n \n \n \n \n \n \n \n \n \n \n \n \n ZIPC1_UKTJ

Freightserve recruitment are looking for a Billing Agent for a busy well-established Freight Forwarder based in the Feltham, Middlesex area. \n JOB PURPOSE / SUMMARY \n We are seeking an organized, reliable, detail and service-oriented Billing Specialist to join our growing team. In this position, you will monitor respond in a timely manner to invoice queries as well as manage invoice processing as well as email requests from our case based ticketing service - Microsoft Dynamics. Previous accounting experience is required. This is a fantastic opportunity to join a company committed to providing quality, innovative value and logistics services. \n DUTIES AND RESPONSIBILITIES \n • Strong communication, including writing, speaking and active listening \n • Great customer service skills, including interpersonal conversation, patience and empathy \n • Good problem-solving and critical thinking skills \n • In-depth knowledge of industry best practices \n • Basic math and accounting skills \n • Organization, time management and prioritization abilities \n • Ability to be discreet and maintain the security of client information \n • Effective computer skills to input to use account management software in a timely and efficient manner \n • Excellent knowledge of excel, ideally with Intermediate experience level, able to use pivot tables and formulas. \n SKILLS AND ATTRIBUTES \n • Be Customer focused with dedication in your service delivery to meet Customer needs. \n • Ability to maintain positive mind-set when working under pressure, re-prioritising workload where necessary. \n • Be reliable with the ability to multitask and have strong problem-solving skills. \n • Strong attention to detail, accuracy, and numeracy. \n • Excellent IT skills with the ability to learn new systems quickly as required. \n • Knowledge of the freight transport industry. \n • Experience within Accountancy and billing. \n As an agency we are fast becoming the number one Freight specialist in the UK. We have a fast growing reputation with most Freight related companies. Freightserve has been established since 1992 working within the Freight Forwarding and Shipping industry. \n \n As an agency we are fast becoming the number one Freight specialist in the UK. We have a fast growing reputation with most Freight related companies. Freightserve has been established since 1992 working within the Freight Forwarding and Shipping industry.

\n Position: Head of Parametric Weather – UK & Europe Location: City of London \n Tokio Marine HCC Tokio Marine HCC – Parametric Weather, a member of Tokio Marine HCC Specialty is a leading provider of specialty insurance products for the weather, sports, promotional and entertainment sectors. The group is part of Tokio Marine Holdings who have been in operation since 1879, employing over 39,000 people in 38 countries worldwide. Our highly entrepreneurial approach to risk, emphasis on outstanding service and commitment to delivering sustainable, flexible and bespoke insurance solutions has made Tokio Marine HCC Specialty the right choice for over 35 years. Parametric Weather provides Insurance and risk management solutions for corporations, public sector organizations, intermediaries, and energy/agribusiness companies on a global basis. As a technology and data driven business, we leverage a wide breadth of distribution channels including Brokers, Insurtech, Affinity, and Programs. We offer a dynamic international work environment is fast paced and team oriented. \n The role: As a Head of Parametric Weather Insurance – UK & Europe you will be part of a multifaceted team in a rapidly growing field, with an opportunity to contribute to business growth locally and globally. You are an expert in parametric risk transfer products with a focus on non-catastrophic parametric weather insurance structures. In this role, you will be responsible for leading the go-to-market activities for the team in Europe. You will drive commercial development and strategic partnerships in Europe, promoting innovative risk transfer solutions to corporations, public sector organizations, and intermediaries. The role is focused on client acquisition, relationship management, market intelligence, and the development of tailored parametric solutions for emerging risks. Missions and Responsibilities\n \n • Build and maintain strong relationships with brokers and other distribution channels, with focus on the London and European Insurance markets to develop and enhance deal origination opportunities.\n, • Lead market growth for parametric insurance products across Europe, targeting industries including agriculture, energy, retail, and public sector clients.\n, • Understand clients’ needs across various industries, develop targets, identify risks and develop parametric solutions.\n, • Leverage a deep understanding of all available parametric products and solutions, with focus on weather and forced outage risks, to educate clients on pros and cons of these alternative risk finance options.\n, • Actively originate, analyse, and assess parametric climate insurance submissions from clients and brokers.\n, • Manage submissions from clients and brokers and coordinate with internal teams, including Underwriting and Operations, to ensure timely and efficient processing.\n, • Drive global business expansion by gaining access and opening doors, with a particular focus on insurance companies and brokers.\n, • While the focus of this role is on Europe, we will count on you to support parametric team members globally with client-focused marketing efforts.\n, • Collaborate closely with internal team to optimize technology platforms and workflows, assisting with new product development and engage to develop strategic roadmaps.\n Essential\n \n, • Expert in parametric risk transfer products with a focus on non-catastrophic parametric weather insurance structures\n, • Proven experience in driving commercial development and strategic partnerships.\n, • Bachelor’s degree in math/science, finance, insurance or a related field or the equivalent education and/or experience\n, • At least 5 years of experience, preferably working in the re/insurance industry as a broker or underwriter\n, • Experience with parametric solutions or a closely related field, with technical background\n Desired\n \n, • Excellent understanding of the regional insurance landscape; parametric or specialty insurance experience\n, • Fluency in French, Spanish, or German\n What we are looking for\n \n, • Demonstrable track record in the insurance industry and an extensive network of contacts in the broker community.\n, • Passionate and experienced in climate related risks and the insurance market in general.\n, • Proven tenacity and perseverance in navigating external and internal stakeholders to overcome challenges in the deal lifecycle of parametric insurance transactions.\n, • Proven ability to successfully bring transactions ‘over the finish line’.\n, • Ability to prioritize tasks and manage time effectively in a complex corporate environment.\n, • Analyse market trends, regulations, and competitor activities to inform commercial strategy.\n, • Client-centric empathy and drive to bring better understanding of weather and natural disaster risk to less technical audiences.\n, • Curiosity and eagerness to constantly learn and apply new solutions.\n, • Ability to face and troubleshoot difficult and complex problems.\n, • Self-reliant working style, with the ability to seek guidance when needed.\n, • Excellent presentation skills, particularly for in-person or virtual meetings with multiple stakeholders.\n, • Ability to influence others within and outside of the job function regarding approach and procedures.\n, • Ability to develop strong internal/external client-oriented solutions.\n, • Ability to understand complex technical requirements and work with the Product and R&D teams to determine solutions for our clients.\n, • Demonstrated quantitative and analytical skills.\n, • Strong teamwork skills.\n \n Your success is our priority. In a world that is rapidly changing, TMHCC enables you to take on opportunities with confidence. \n At Tokio Marine HCC, we pride ourselves on hiring the smartest, most conscientious people, who want to make a difference no matter their background. And then we give them the support and trust they need. We’re always looking for curious, creative transformative thinkers who want to change the status quo and have a passion for doing the right thing. If this is you, then we want you on our team. \n #J-18808-Ljbffr

Building a sustainable tomorrow BAM Ground Engineering is currently recruiting for a Senior Utility Surveyor to join our team and play a key role in growing our utility surveying capability. This role offers an excellent opportunity for an experienced utility surveying professional to combine hands-on technical delivery with the chance to help develop a growing service area. You will initially lead the delivery of PAS 128 utility surveys and utility detection services, while supporting the development of the systems, standards and processes needed for future growth. You will carry out utility mapping projects, operate utility detection and location instruments, and post-process survey data to produce detailed PAS 128 compliant survey outputs. Strong knowledge of PAS 128 and proven experience in utility surveying are essential. As the role develops, you may also support business development, contribute to equipment and resource planning, and help build and lead a wider utility surveying team. We are looking for someone who is professional, safety-focused and customer-minded, with excellent communication skills and the ability to work effectively with clients, site teams and office-based colleagues. Your team • The role can be based from any of our offices in Kilsyth, Godstone, Nailsea or Warrington, with travel to projects and clients as required.Making Possible The Senior Utility Surveyor is responsible for: • Leading utility survey projects from start to finish, ensuring high standards are met throughout., • Provide specialist technical support to ensure effective and efficient delivery of the project to time, budget and quality, • Utilising modern surveying methods and equipment, including total stations, GPS, and ground penetrating radar., • Conducting thorough inspections and accurately recording underground utility assets and manhole inspection reports., • Delivering completed utility survey reports to Project Managers and CAD Operators in accordance with industry standards., • Building and maintaining strong client relationships to ensure successful project outcomes., • Liaising with clients for project quoting and technical advice, • Mentoring and guiding junior surveyors and assisting them in their professional development., • Conducting quality checks on information collected onsite and ensuring successful transition to final deliverables., • Maintaining and ensuring the functionality of all survey equipment., • Health & Safety Risk Assessment and PlanningWhat do you bring to the role?, • Multiple years' experience delivery Utility surveys, preferably in a senior or leadership role., • Strong understanding of industry standards and practices, with knowledge of PAS 128 and TSA being essential., • Proficient in the use of surveying technologies including ground penetrating radar and electromagnetic location systems., • Excellent communication and interpersonal skills, capable of building relationships with clients and managing project teams., • Demonstrated ability to work in a fast-paced, changing environment and effectively prioritise workloads., • Proven ability to mentor and guide junior team members., • Possess a clean and valid manual driving license., • Relevant qualifications in surveying or a related field are desirable., • Strong educational background in Math and English, with minimum GCSE grades of C or above., • Understanding and practical experience of a range of utility surveys, processes and methodologies, • Able to assist in the planning of any project activity and identify engineering and quality risks., • Practical experience and well developed theoretical knowledge of utility surveys and processes, • Ability to maintain accurate records of appropriate documentation, • Processing and interpreting GPR data., • Producing 2D and 3D CAD drawings for client projects., • Ability to interpret specification, data and drawings correctly and check for error., • Contribute to ensure policies, processes and procedures support in the delivery of compliance., • Professional, dynamic and motivated individual with ability to work alone and as part of a team, • Ability to communicate effectively at all levels., • Flexibility to travel to various job sites nationwide as required., • Ability to understand drawings and communicate to site personnel and workforce., • Awareness of construction site health and safety.What's in it for you?, • Competitive salary, • A wide range of family-friendly policies, • Company car/car allowance/travel allowance, • 8 % matched pension contributions, • Private healthcare, • Life assurance, • 26 days holiday, • 2 wellbeing days, • 1 volunteering day, • Personal and professional developmentAbout BAM Building a sustainable tomorrow. That's our mission and our promise at BAM. It's how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe. We strive to create an environment where everybody feels welcome and valued. We're on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics. JBRP1_UKTJ

Job ID: 10559495 | Amazon UK Services Ltd. Amazon seeks a Senior Treasury Dealer to join the Treasury Strategy and Markets Team, which oversees global foreign exchange trading, commodities, and equities execution. This role sits at the heart of Amazon's trading operations, where you will be responsible for executing and managing multi-asset class trading strategies across FX, equities, and commodities markets. As a key member of the team, you will leverage trading platforms and analytics to drive efficient execution while ensuring best-in-class trading practices. The successful candidate should be comfortable with ambiguity and balancing multiple competing priorities, demonstrating strong decision-making capabilities in fast-paced market conditions. You will build and maintain strategic relationships with key banking counterparties and work cross-functionally across Amazon's diverse business lines to support the company's global trading needs. This position requires a self-starter who will work to continuously improve Treasury processes while maintaining a rigorous control environment and compliance with various Amazon policies. • Execute foreign exchange, equity, rates, and commodity trades to support Amazon's global business operations, • Develop and maintain real-time monitoring of market conditions, liquidity, and pricing across multiple venues and counterparties to ensure optimal execution, • Implement best execution practices and conduct regular Transaction Cost Analysis (TCA) to optimize trading performance, • Create and monitor detailed reports that track the performance of execution metrics, including fill rates, rejection rates, and price improvements against internal KPIs, • Build and maintain relationships with key liquidity providers to ensure competitive pricing and market access across all asset classes, • Analyze market microstructure and implement algorithmic trading strategies to minimize market impact and improve execution efficiency, • Work with banking partners to develop and implement new execution methodologies for restricted currencies and emerging markets, • Collaborate with technology teams to enhance trading platforms, implement API connectivity, and automate execution processes, • Monitor trade settlement processes and resolve any trading-related issues with counterparties, • Work extensively with internal groups including Global Payments, Finance Operations, and Technology teams on trading infrastructure improvements, • Design and maintain trading dashboards that provide real-time visibility into execution performance, market conditions, and liquidity metrics, • Develop and document standard operating procedures for trading activities across all asset classes, • Participate in periodic reviews of counterparty performance and recommend changes to the counterparty panel as needed, • Stay current with market developments, regulatory changes, and new trading technologies that could impact execution strategies, • Conduct regular reviews of execution policies and procedures to ensure compliance with internal and external requirements, • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, • Experience in a finance role including partnering with a variety of stakeholders across the business, • Experience using financial models, KPIs, and data analysis to support business decisions, • Experience delivering results for large, cross-functional initiatives/projects, • Experience in creating process improvements with automation and analysis, • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results, • Experience working in a fast-paced and ambiguous environment, • Speak, write, and read fluently in English, • 5+ years of finance experience or a related analytical field. Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), • MBA, or CFA, • Advanced or master's degree in finance, economics, or mathematics, such as a CA, CMA, CWA, or MBA, • Knowledge of SQL/ETL, • Knowledge of of financial reporting tools (Cognos, Redshift), • Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan, • Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), • Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards), • Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results, • Experience developing financial models in Excel with advanced functions (pivot tables, macros, VBA, Power Query), • Experience with multi-lateral foreign exchange netting, in-house banking solutions, and pay-on/receive-on-behalf-of cash management solutions as well as experience with Corporate Treasury FX trading platforms such as 360T, and Bloomberg FXGO Amazon. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. #J-18808-Ljbffr

Dive into the world of big data and trend analysis to solve complex problems and improve Meta community experiences! Learn how to scale and automate abuse detection processes.We are looking for engineers with extensive experience investigating and analyzing online abuse, and actively implementing countermeasures. Our focus on data analysis and machine learning as well as our knowledge of the robust infrastructure of our back-end systems allows us to collaborate seamlessly with engineering, data science, and operations teams to build tools and techniques necessary to enforce content quality at scale. Integrity Scientists have the opportunity to work on many of the most challenging, complicated, and high-visibility integrity risks the company faces. Our work impacts the billions of people who use Meta products. The potential for impact with this work is substantial, as outcomes could affect the billions of people who use our products.Successful candidates for this team have a track record of identifying issues and proactively implementing solutions and experience identifying patterns in large, unstructured datasets, making quick decisions, and are comfortable iterating based on new data and adjusting approaches when initial hypotheses are disproven. • Identify and investigate online bad actors with the interest and capability to target Meta and its users, • Work closely with others to identify sources of abusive behavior and take countermeasures to stop abuse, • Lead technical investigations from start-to-finish and effectively communicate actionable results to different audience types, • Manage multiple projects at once while prioritizing time based on team priorities, • BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field, • Experience investigating and acting on high-impact threats and online threat actors, • Experience with relational databases and SQL, • Experience thinking critically and qualifying assessments with solid communications skills, • Experience coding in at least one of the following: PHP, Python, or Java, • Familiarity with cross-platform integrity threats, • Proven track record of managing and executing on short term and long term projects, • Experience prioritizing and executing with minimal direction or oversight, • Advanced degrees in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field, • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Experience in adversarial space like fraud and spam, • Experience working across the broader integrity/security/Trust & Safety community, • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Demonstrated understanding of security and integrity risks, and how they apply to Meta and its users, • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr

We're hiring a mid-level Data Scientist (2 to 5 years' experience) for our Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning, and working directly with our external risk vendors. You own that work end to end, from the question, to what ships, to the decision leadership makes off the back of it. Risk and fraud is where you'll have the clearest impact, but the role reaches across Product, Growth, and Engineering, and your work turns into product, policy, and revenue. If you're drawn to crypto, payments, and the kind of data they throw off, there's a lot here to get into. • Risk, fraud and compliance. Build and iterate on fraud detection, chargeback prediction, and transaction-risk models. Develop features and rule sets that work alongside our Risk and Compliance teams to keep bad actors out without adding friction for good users., • Product analytics and growth. Own funnel analytics across on-ramp and off-ramp flows. Design and analyze A/B and multivariate experiments, identify conversion bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements., • ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn prediction)., • Business intelligence and reporting. Build trusted dashboards and self-serve data products for Product, Growth, Finance, and the executive team. Define and steward the metrics that the business runs on., • Storytelling and strategy. Turn analyses into clear narratives and recommendations. Present findings to engineers, PMs, and the C-suite alike, and influence roadmaps with data., • Data craftsmanship. Partner with Data Engineering to improve event tracking, data models, and the warehouse. Treat data quality as a first-class product., • 2 to 5 years of experience as a data scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company., • Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries., • Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow)., • Experimentation fluency. You understand the math behind A/B testing, sample sizing, power, and common pitfalls (peeking, multiple comparisons, novelty effects)., • Machine learning intuition. You can pick the right model for the problem, evaluate it honestly (precision/recall trade-offs, calibration, drift), and ship it responsibly., • Visualization and BI. Comfortable building dashboards in Looker, Metabase, Tableau, Superset, or similar., • Communication. You can explain a confusion matrix to a PM and a funnel drop-off to the CEO, in the same week, in the same tone., • Ownership. You treat ambiguous problems as opportunities and don't wait to be told what to analyze next., • Experience in crypto, payments, banking, fraud, or compliance., • Familiarity with dbt, Airflow, or similar data-stack tooling., • Exposure to causal inference (difference-in-differences, propensity scoring, uplift modeling)., • Experience deploying models to production (batch or real-time) alongside engineers., • Knowledge of AML / KYC frameworks or experience working with regulators. #J-18808-Ljbffr

London, England, United Kingdom The Firm XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world‑class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large‑scale data centre in Finland to future‑proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non‑hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role As a Realtime Analytics and Controls Developer, you will be responsible for the mission control panel for one of the largest trading systems in the world ($250bn-300bn/day). Your work will have a company-wide impact, with users including Trading Desk, Trading Developers, Quants, CEO, Distribution and Risk. The goal is to provide clarity about what our trading system (hundreds of thousands of strategies) is doing at any given moment and how it is performing. We supply both high‑level and incredibly detailed views, as both are crucial for efficient decision making and spotting issues. In addition to visibility, we are also responsible for trading control mechanisms – e.g., tweaking limits, starting trading strategies or emergency stopping. These actions are necessary for continued trading, and sometimes need to be taken within minutes, with millions of pounds at stake. Realtime Analytics and Controls is a small specialist tam which works directly with multiple front office groups. You will be expected to also contribute to the shared software platform that supports this group. This is one of our most people‑oriented engineering roles. You should expect to collaborate regularly with your colleagues who are the primary customers of your software, to understand how your design decisions affect their day‑to‑day work. Responsibilities • Communicate regularly with internal users about their needs and ideas., • Understand workflows of all teams involved in trading., • Design, implement and maintain software, including:, • An Ingestion mechanism for large volumes of data from trading systems., • Internal frameworks for data processing and presentation., • In‑memory query engines., • Present the data in a clear, useful, and accurate way, in collaboration with frontend developers., • Maintain calculation of trading metrics., • Build software that can reliably run 24/7., • Participating in the on‑call rota., • Pragmatic with strong ability to communicate with technical stakeholders: understanding users’ needs, soliciting features / requirements from them and prioritising effectively according to business needs., • Algorithmically literate and able to write efficient code., • Familiar with distributed systems – able to reason about consistency, delays etc., • Minimum of 5 years’ experience coding in a professional environment with Java or C++., • Willing to learn Kotlin., • Skilled in writing automated tests., • Passionate about reducing complexity., • Deeply caring about correctness and reliability., • Proactive about taking responsibility., • Familiar with high throughput JVM techniques., • Experience with binary protocols., • Proficient in working with databases., • Experienced in working with high stakes systems., • Extensive medical benefits including an on‑site doctor and therapist at no charge., • Breakfast and lunch provided daily., • Various supports for caregivers, including emergency dependent care., • Beautiful Kings Cross office: 257888726, • 25 days paid holiday per year + statutory holiday and paid sick days., • Generous Pension contributions. Our interview process will require you to come onsite to our London offices (we can cover cost of travel and accommodation where required).A) Please state the city where you're currently based.B) Would you need a VISA to visit the UK? If so, please detail. * We require you to complete coding interviews in Kotlin, Java or C++.Which language would you choose for interviews? * #J-18808-Ljbffr

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals. As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You do not just solve the most difficult problems; you identify which problems are worth solving to move the needle for our customers. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team. In this role, you will bridge the gap between business strategy and production-ready machine learning. Whether you are building frameworks for growth, optimizing our supply chain, or refining marketing attribution, you will ensure our data products are technically sound, scalable, and built to deliver measurable business results. Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization. 8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing. We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement. #J-18808-Ljbffr

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals. As a Senior Data Scientist at Hims & Hers, you are a core driver of technical execution and innovation within our data organization. You take complex business challenges and translate them into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize our operations, refine our marketing efforts, and enhance the customer experience. You will not only build powerful models but also help uphold the engineering rigor and standards of our data team. Build from Scratch: Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ML) quickly to prove value before iterating toward complex solutions. End-to-End Execution: Own the complete model lifecycle, from data extraction and feature engineering to deployment, A/B testing, and ongoing performance monitoring. Cross-Functional Collaboration: Partner closely with Engineering, Product, and Finance teams to define technical requirements and translate model outputs into clear, actionable business insights. Uphold Technical Standards: Write clean, modular, and production-ready code. Actively participate in peer code reviews and contribute to the team’s technical best practices. Drive Project Delivery: Navigate technical ambiguity within your domain, breaking down complex project requirements into manageable, executable milestones. Team Mentorship: Provide technical guidance and support to junior data scientists and analysts, helping them troubleshoot roadblocks and adopt best practices. 5+ years of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering Rigor: Proven ability to build for production. Experience working in cloud-based environments (AWS or GCP) and familiarity with CI/CD workflows, version control (Git), and ML Ops principles. Analytical Problem Solving: Strong ability to connect technical metrics to business outcomes. You know how to choose the right algorithm for the right problem rather than just the most complex one. Communication: Excellent ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders. Education: BS, MS, or equivalent experience in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.). 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing. We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit Global Candidate Privacy Statement. #J-18808-Ljbffr

Sourcing Coordinator (Soft Accessories) at Burberry Introduction At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today. We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities. Job Purpose The Sourcing Coordinator manages the seasonal placement and follow-through of finished goods for a particular category, in a manner congruent with the supply chain objectives: delivering quality product, on time and at the right price. Responsibilities • Advise vendors on seasonal calendars, unit plans, and negotiate minimums; manage buying and delivery deadlines to meet Time & Action calendar., • Oversee raw material bookings, seasonal order book handover, and purchase orders; ensure production needs and delivery schedules are met., • Maintain PLM updates for vendor costs and BOM information; liaise with product development, technical teams, and quality assurance to ensure compliance and resolve issues., • Coordinate with Customer Operations and cross-functional teams on order timing; monitor pre-buy vs. actual, address shortfalls, and prepare weekly production updates., • Analyze seasonal pricing and margins, finalize costs with manager, and participate in vendor performance reviews; communicate best practices and seasonal updates to vendors., • Ensure standard processes across sourcing teams; manage workload prioritization, counter-sourcing needs, and train/develop Sourcing Assistant as required. Qualifications • Proven experience in production/manufacturing management; strong costing, negotiation, and retail math skills., • Proficient in MS Office (Excel, Word, PowerPoint); SAP/PLM knowledge desirable., • Excellent communication, time management, and relationship-building skills; detail-oriented and organized with strong follow-through., • Self-motivated, solution-oriented, adaptable, and collaborative; able to lead or work within a team., • Italian language preferred; willingness to travel as needed. Equal Opportunity Employer Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience. Posting Notes: United Kingdom || Not Applicable || London || SC CENTRAL OPERATIONS || SOURCING WOMENSWEAR || n/a || #J-18808-Ljbffr

Most organisations make their biggest decisions on a thin slice of evidence — a handful of customer calls, one survey, instinct when the data runs out. Electric Twin changes that. We're a behavioural simulation platform that lets organisations test ideas, messages, and decisions against synthetic populations — digital twins of real audiences — and get answers in minutes that would otherwise take weeks. The work is grounded, and the engineering is real. We've run over 40,000 evaluations across populations covering 155 countries. Independent academic research with Professor Michael Muthukrishna at the LSE found our outputs come back roughly 10,000× faster than traditional methods, at 95% accuracy. AI is part of what we build, but it isn't the product. The hard work is system design, data, orchestration, and making outputs trustworthy enough that people act on them. Running population-scale simulations is a systems problem as much as a science one — foundation models, behavioural data, evaluation pipelines, and the infrastructure that holds them together, with real engineering problems at every layer. How the work gets done here isn't handed down — it's worked out by the people closest to it. You'd help shape what gets built or sold and why, decide where the trade-offs sit between speed and depth, and judge when something is ready for customers and when it needs another pass. What the role involves day-to-day, what your first six months look like, and how compensation, equity, growth and flexible working are structured are all set out in detail below — the headline is that early joiners get meaningful equity, a clear path to grow with the company, and the flexibility to work around the rest of your life. Electric Twin was founded by Dr Ben Warner (former Chief Data Advisor to the UK Prime Minister) and our CEO, Alex Cooper (a former senior military commander and Director of Mass Covid Testing in the pandemic). We're backed by top tier investors including Atomico, LocalGlobe, Mercuri, and angels including Marc Andreessen. We have a high-class team of engineers, AI researchers, behavioural scientists, and operators — careful with the science, careful with the responsibility. As an AI Engineer you will be part of the wider technical team but positioned within Science.You’ll research and build the systems that bring our AI agents to life and you will work with engineering to scale the infrastructure that powers our LLM-driven synthetic populations. You'll design agent cognitive architectures, implement context engineering and memory systems, while ensuring these AI systems can operate reliably at scale in production environments. This role balances AI agent research with backend engineering. It is ideal for research engineers who want to work directly with large language models to create realistic behavioural simulations, while building the robust infrastructure needed to deploy them in enterprise settings. What You'll Do There are three main areas that members of the science team focus on: Research, Modelling and Experimentation: You will design and run systematic experiments to evaluate synthetic agent behaviour, test hypotheses about behavioural patterns, and iterate on model architectures based on empirical results and validation against real-world data. LLM Product Engineering: You will build sophisticated prompting strategies, behavioural frameworks, and decision-making systems that enable agents to exhibit realistic human-like behaviour across diverse scenarios and demographics. You will combine this with client interactions to ensure product viability for the end customer. Architecture & Development: Design and implement the cognitive systems that give AI agents consistent personalities, memory, and reasoning capabilities, using advanced LLM techniques like chain-of-thought prompting, RAG systems, and agentic tool use. Who You Are Essential Qualifications Bachelor's or Master's degree in CS, Math, Physics, AI, or related technical field. Strong foundation in both AI/ML concepts and backend engineering principles. Experience working in fast-paced environments where requirements evolve rapidly. Over 7 years of experience with at least 1 year working hands-on with large language models to solve complex problems. Technical Skills Research: Proof of fast iteration and experimentation in order to validate model performance and outputs. Exposure to research-driven product development or academic AI research is desirable. Knowledge of fine-tuning workflows, model optimisation, and experiment tracking. Understanding of statistical validation and data quality assessment. Experience with frameworks for building AI / LLM applications (e.g. PyTorch, Hugging Face Transformers, LangChain). LLM & Agent Development: Hands-on experience building applications with large language models, implementing advanced prompting techniques, RAG systems, and agentic workflows. Experience with multi-agent systems, simulation frameworks, or agent-basedmodelling. Backend Engineering: Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures. Personal Attributes Strong ownership mentality—you see projects through from design to deployment. Pragmatic problem-solver who balances technical elegance with business needs. Clear communicator who can explain complex technical decisions to non-technical stakeholders. Thrives in ambiguity and adapts quickly as product requirements evolve. Passionate about building infrastructure that enables innovative AI applications. Intellectually honest—willing to question prevailing approaches and advocate for better solutions when evidence supports it. Collaborative mindset—debates ideas vigorously while respecting other perspectives. We offer a competitive package designed to support you properly, not just on paper. Competitive salary. Meaningful equity in a high-potential seed-stage company. Unlimited leave. Take the time you need. Generous matched pension contributions. Private healthcare. Cycle to work scheme. Direct access to and collaboration with world-class founders. Hybrid working from our London office (4 days in office a week). Flexible working around life commitments. We value outcomes over presenteeism. #J-18808-Ljbffr

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world‑class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in‑office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands‑on execution, rigorous iteration, and deep technical delivery to reach enterprise‑grade performance. We’re creating an Agent Builder Org : a specialized technical delivery team responsible for end‑to‑end execution of AI agent builds. Agent Builders own the hands‑on work required to deliver best‑in‑class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Builders are technical and customer‑facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution. As a Customer Engineer, Agent Builder , you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise‑quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business. You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent‑building platform based on real customer needs. This role is ideal for someone who thrives in fast‑moving environments, enjoys shipping customer‑facing technical work, and can balance hands‑on execution with structured thinking. Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration. Write and maintain key agent‑building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes. Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real‑world scenarios. Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments. Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines. Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements. Partner closely with APMs, Engineering, Design, and Go‑To‑Market teams to deliver consistent, repeatable, best‑in‑class agent builds. Have 5+ years of relevant experience in a technical customer‑facing role (e.g., solutions engineering, forward‑deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar). Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end. Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery. Comfort working in fast‑moving, ambiguous environments where you shape solutions as much as you implement them. Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.). Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations. A Computer Science, Engineering, or Math degree, or equivalent technical experience. Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap. We proudly offer the following benefits for our full‑time employees: Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Daily lunches and snacks in the office to keep you at your best These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans. #J-18808-Ljbffr

This September the UN stopped hedging: the world will overshoot 1.5°C of warming, and carbon removal, alongside deep emissions cuts, is essential to coming back. The math is stark. The world needs to remove roughly 10 billion tonnes of CO₂ a year by 2050, and all the permanent removal ever delivered adds up to fewer than 2 million tonnes, less than a single day of that future run rate. An industry Swiss Re calls the next trillion-dollar market has to be built from scratch in under three decades. Supercritical exists to build it. Our mission: scale carbon removal to gigatonnes by building the connective infrastructure for the market. As the #1 carbon removal marketplace we source, create, and guarantee permanent supply for the world’s most demanding buyers. Nearly 2 million tonnes facilitated for 200+ corporate buyers. A science team that helps set the SBTi standards the market will be measured against. More than 300,000 tonnes delivered and retired with zero missed retirements, and the largest biochar offtake in US history, 1 million tonnes over 10 years, created for Microsoft. Carbon removal is not carbon avoidance. A carbon removal credit is one tonne of CO₂ physically taken out of the atmosphere and stored permanently. One tonne emitted plus one tonne removed equals net zero; no other route produces a credible claim. And demand is no longer voluntary goodwill: SBTi’s Net-Zero Standard now sets interim removal targets on the path to net zero, disclosure rules are switching on across major markets, and the AI economy is already buying, with Google, Amazon, Stripe, and Anthropic all purchasing carbon removal and Microsoft behind the largest biochar offtake in history. This market gets built in the next three decades, by the people who show up early. Our suppliers are at the heart of what we offer the world’s most demanding carbon removal buyers. As Supply Account Manager, you'll own Supercritical's relationships with every supplier across the world once they’ve contracted with us: our exclusive and non-exclusive projects, the suppliers behind the offtakes and deals we've sold, and the early-stage projects moving through our Supply Development Programme. This is a stakeholder management role, inside and outside the business. You'll onboard each supplier and be their point of contact through development, delivery, review and renewal, building relationships strong enough to handle every conversation, from a new deal to a missed milestone. You'll run the regular rhythm, from check-ins to QBRs, know each project inside out, and coordinate our supply, sales, marketing and climate science teams so both sides deliver. You'll also keep us on top of our commitments. You'll be accountable for delivery against contracted milestones, own credit retirement end to end, and maintain each supplier's risk and compliance record so sales always knows what's ready to allocate. When something slips, you'll be the first to know and will make sure the right people hear about it fast. HubSpot is our single source of truth, and you'll help shape the automated workflows that keep routine updates moving, so your time goes on the relationships that matter most. • Supplier relationships: be the single owner of the relationship for every signed supplier, from onboarding through to renewal or exit, engaging stakeholders up to founder and CEO level., • Account management: own the terms of every signed supply contract, with accountability for supplier delivery against contracted milestones. Run QBRs and annual reviews according to supplier tier, and own supplier reporting, tracking NPS and performance KPIs., • Supplier Workflow management: own supplier workflows across the lifecycle, from credit retirement to maintaining each supplier's risk register, compliance record and current rating, and confirming when a supplier is ready for allocation., • Project development: guide new projects through our supply development programme, owning the development plan and managing internal and external stakeholders through to project launch. Experienced account manager. You have a proven account management background (3-5 years as an Account Manager), including managing international stakeholders and projects across different countries and time zones. You hold your own with senior stakeholders, whether the news is good or bad. People trust you because you're direct and you follow through. Systems thinker. You've set up CRM processes and automated workflows before (HubSpot experience is a plus), and you instinctively look for ways to make a process run without you having to chase it. Commercially sharp. You're comfortable talking pipeline, contracts and delivery, and you can build a clear, data-backed case for why a supplier should keep growing with us. Organised. You're highly organised with impeccable attention to detail. You can hold a portfolio of accounts, contract terms and delivery dates in your head at once, and you spot problems before they land. Start-up experience. You've worked in a start-up or scale-up and you know what that means day to day. This role is still taking shape, you ramp up quickly, and you enjoy defining how things should be done rather than inheriting a playbook. Experience in carbon removal, climate, agriculture or commodity supply chains is a bonus, not a requirement. Most of all, you’re excited to work on the world’s most important problem with a friendly and motivated team. We have set ourselves the mission of leading the carbon removal market to 14,000x its current size by 2050. In order to do that we need brave adventurers that think huge and deliver at speed. We call this the 14,000x mindset. The key components of the 14,000x mindset are: • Ownership mentality: We relish autonomy and we create it for others. We are deeply curious and thrive on understanding the root cause of complex problems. We take ownership over our own and our team’s development by giving and soliciting direct and actionable feedback., • Move fast: We identify the most important problems to solve and cut everything else. We test ideas early so we don’t waste time on dead ends. We default to action and deliver awesome results., • Radiate positive energy: We come to problems with energy and passion. We nurture new ideas and engage positively in testing them. We inspire our colleagues to go further and are resilient to setbacks. We recharge by taking time off. We are here for a great day, not a long day., • Communicate proactive: We communicate simply and directly. We broadcast updates, insights and lessons learned, especially when things haven’t gone to plan. We give as much context as possible so our teammates can make great decisions. Basic salary: £55,000–£65,000 per annum, dependent on experience Unlimited Annual Leave – Take the time you need to recharge Extra Time Off – The first Friday of every month is a company-wide day off Pension Contribution – We’ll match your 5% contribution with 3% Flexible Hybrid Work – Work remotely first, with the option to use our London office in Work.life Old Street Wellbeing & Home Setup Support – £1,000 annual wellbeing allowance + up to £500 for home office equipment Team Socials – Monthly team socials and quarterly company gatherings in London and annual company multi-day offsites. We’ve been committed to building an inclusive and diverse workplace since day one of the company. We’re the only company we’re aware of with a 50:50 gender balanced list of investors and our day to day processes are always defined with D&I in mind, for example our remote first policy and flexibility around working time. We are excited to encourage applications and interest from individuals underrepresented in the climate and tech space. Climate change and climate justice is a social issue that cuts across race and gender. We welcome applicants with lived experience across these issues. Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. UK Sponsorship & Applicants currently outside the UK • UK Work Sponsorship: Unfortunately, at this stage of our growth, we are unable to offer UK sponsorship to applicants., • Candidates who live outside the UK who are not looking to live and work in the UK, are within 3 hours of the GMT/BST timezone and are willing to travel to London quarterly are encouraged to apply. Please note we will use an Employer of Record arrangement in these circumstances. #J-18808-Ljbffr

Job ID: 10574697 | Amazon UK Services Ltd. - A10 This is an 18-month fixed-term contract. We are looking for a Speed programs manager to own end-to-end capacity planning for High Volume Events (HVE) and Operational execution across the EU5 Same Day network. This role sits within the Speed Programs team and is responsible for ensuring our stations are resourced, planned, and ready to deliver on our customer promise during the most demanding periods of the year — Prime Day, Peak (Black Friday/Cyber Monday), and other high-volume events. You will work backwards from demand forecasts to build station-level capacity plans, identify gaps before they become misses, and drive cross-functional alignment with Last Mile, Middle Mile, Operations, and partner teams to close them. You will own the planning calendar, mechanisms, and governance that ensure the network moves from "plan" to "ready" with full accountability at each milestone. This role requires someone who is comfortable operating in ambiguity, can translate large data sets into clear capacity decisions, and can hold partner teams accountable to shared commitments under time pressure. You will be the single-threaded owner for HVE capacity readiness across EU5 Same Day — when Peak arrives, your plans are what the network executes against. • Own the EU5 Same Day HVE capacity planning process end-to-end: demand ingestion, gap identification, action tracking, and readiness sign-off, • Build and maintain station-level capacity models for all Peak events, working with forecasting, operations, and network teams, • Identify capacity gaps (mechanical, OTR, UTR) early and drive resolution through established levers (DILO changes, route additions, overlap jurisdiction, CPT shifts), • Create and run the governance mechanisms (WBRs, readiness reviews, escalation paths) that ensure the network hits readiness milestones on schedule, • Partner with Operations, Last Mile, Middle Mile, and Tech teams to align inputs and commitments, • Produce clear, data-driven recommendations for senior leadership when trade-offs are required, • Build post-event retrospectives that feed learnings back into the next planning cycle, • Bachelor's degree or above in Supply Chain Management, Engineering, Math, Business or other related quantitative disciplines, • Experience in similar technical or vocational roles, • Experience with advanced use of Excel and using statistical analysis applications, or experience with Microsoft Office including Outlook, Word, and Excel, • Experience in building financial and operational reports/data sets that inform business decision-making, or experience with data analytics platforms (Power BI, Python, SQL, Tableau), • Experience in communicating technical concepts to a non-technical audience, • Experience communicating with a wide range of stakeholders, including colleagues and leadership, or experience in an operational role, • Experience identifying and resolving complex issues, • Speak, write, and read fluently in English, and have the ability to take direction in English, • Experience in program management, logistics, operations, supply chain, transportation, or a related field, • Knowledge of capacity planning concepts, • Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools, • Experience in accounts receivable or account payable, or experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results, • Experience in creating process improvements with automation and analysis, or experience working with Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. #J-18808-Ljbffr

We build AI technology for the metals industries. Our products work reliably in high-volume production environments 24/7, making billions of dollars worth of decisions. Because we work at the intersection of metals industries and AI, we solve problems involving manufacturing operations, physics and chemistry, software engineering, AI, and product design. Our teams spend a lot of time on site, with the customer, understanding their problems first hand and iterating quickly to solve them. We try to work with minimal process and permission, but ample support and collaboration. We rarely have a scheduled meeting, but we all work in the office, discussions occur continuously throughout the day, and no request for help goes unanswered for more than a few minutes. Features get shipped to production every day. Many are designed, developed, and shipped on the customer’s site, without a central planning process. For all roles, we are looking for people with the following attributes: • Exceptional ability. Whether in work, school, side projects, or elsewhere, you will have demonstrated exceptional ability. We are open minded about the exact form this takes., • You have played a key role in an early stage startup, • You have won hackathons, math, or physics competitions, • You have an impressive side project, like a popular blog or open source library., • Excellent communication. In speech and writing., • Conscientiousness. You want to do good work, regardless of oversight., • You are excited to have freedom to work without too much process and friction, but at the same time, excited to share ideas and work closely with others., • You’re excited to work in the metals industries, and everything that goes with it., • You are comfortable working in uncertain and dynamic environments. As a Software Engineer you will be a core part of our technical team working alongside forward deployed engineers and researchers to solve cutting-edge problems in the metals industries. This includes: • Understanding customer’s problems which are rooted in manufacturing operations, physics, and chemistry., • Building prototypes, rapidly iterating, and then consolidating successful solutions into maintainable and robust software., • Identify innovative solutions to deploying code and infrastructure at the edge where power and data connections are unreliable., • Recommend and implement improvements to our code, data, and infrastructure delivery pipelines, • Be able to deliver pragmatic and secure solutions for the product and development platform., • Collaborating with team members on site, and back in the office. This includes designers, engineers, and commercial colleagues. You will have: • Strong engineering. At least a bachelor degree or equivalent professional experience in engineering, physics, mathematics, compsci, or similar., • Strong programming. We are mostly language agnostic but would expect you to be fluent in one of Python, C/C++, Go, Typescript, or Java., • CI/CD and DevOps: Knowledge of building pipelines, automated testing and deployment strategies., • Monitoring and observability: Familiarity with tools like Grafana, Prometheus or other observability platforms., • Containerisation and orchestration: Docker, Kubernetes. We are open to a wide range of backgrounds, but some examples we expect to see are: • It’s likely you have professional experience as a software engineer, quantitative developer, AI engineer, or similar. You will also: Prefer mostly work in the office, colocated with your team, rather than from home. Email . Please include - in your CV or in the body of the email - a list of 3-5 things you have done that you are proud of and that are relevant to the attributes we are looking for. Where possible, please include links to your work, such as GitHub, YouTube, or portfolios. We will do two or more telephone screenings. At least one will be with the CEO. You will have a technical interview with a member of our technical staff. #J-18808-Ljbffr

Job ID: 10505121 | AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Senior Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this leadership role, you'll manage a team of ProServe Managers and Delivery Consultants. You will work our sales and account leadership to define the strategy for this customer segment. You'll leverage your IT and/or Management Consulting background to serve as a strategic advisor to customers, partners, and internal AWS teams. Routinely engage with Director, C-level executives, and governing boards, whilst being responsible for opportunity capture and driving engagement delivery. You’ll work closely with partner teams; drive business development initiatives through thought leadership; provide portfolio guidance and oversight; and meet and exceed customer satisfaction targets. Your experience gained leading teams within the technology sector, will equip you with the ability to optimize team performance through implementing tailored people development plans, ensuring your teams are aligned to customer needs, and have the skills and capacity to address customer outcomes. Possessing the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. Sr. DPMs success is primarily measured by consistently delivering customer engagements, supporting sales through scoping technical requirements for our most strategic engagements. They will hold the Practice total utilization goal and be responsible for optimizing team performance. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. UK Government Security Clearance is required for this role (government/publications/united-kingdom-security-vetting-clearance-levels) As an experienced Senior Professional Services Delivery Manager, you will be responsible for: • Building and managing a high-performing team of Managers and Delivery Consultants, • Defining the strategy for organisation though collaboration with leaders in the corresponding Account and ProServe Sales Team, • Developing and overseeing the implementation of innovative, forward-looking IT strategies for customers, • Managing practice P&L, ensuring on-time and within-budget delivery of customer engagements, • Driving business development initiatives and exceed customer satisfaction targets Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power them businesses. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. • Bachelor's degree in Computer Science, Math, or a related field, • Knowledge of compliance and security standards across the enterprise IT landscape, • Knowledge of infrastructure-as-a-service (IaaS) cloud computing transition challenges, • Experience with consulting practice leadership as manager of managers with team size 50+ and P&L responsibility, • Experience with enterprise architecture including virtualization technologies and distributed architecture, • Experience integrating AWS cloud services with on-premise technologies (e.g., Microsoft, IBM, Oracle, HP, SAP), • Experience with design of modern, scalable delivery models for technology consulting services, • Experience with international sales and delivery work with global F500 enterprise customers and partners, • Experience with vertical industry sales and delivery work of contemporary services and solutions Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 300 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximise the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing well over 25,000 GPUs with more than 1 exabyte of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Information Security team at XTX Markets is accountable for all aspects of the firm’s IT security. From obtaining and transforming events and signals into actionable intelligence, to helping design and implement authentication and authorisation systems, and other security tools that underpin the XTX environment. The team also assess third party security, as well as working diligently to keep XTX in compliance with a range of world-wide regulatory information security requirements. Our Security team works to create and maintain the safest operating environment for XTX Markets users and developers. In this role, you will work with software engineers to proactively identify security flaws and engineer technical solutions to a defensive mindset. This is a hands‑on role. XTX prides itself on its ability to create and maintain software and systems that precisely meet our needs. We handle information at large scale and across multiple locations, so we need to anticipate and protect against attackers. You will work closely with teams to improve our detection capabilities, and to design defence‑in‑depth controls that limit attackers’ ability to move inside our network. At XTX, security engineers are engaged in requirements gathering, architecting, prototyping, and developing both internal tools and broader infrastructure in conjunction with partner teams around XTX. The successful candidate will be expected to work across a broad range of security roles and projects, including compliance related tasks. • Approximately one to three years’ experience in Information Security., • Proficiency in at least one statically typed language; development at XTX is primarily in Golang, though previous experience in Go is not a pre‑requisite. Scripting is mainly in Python., • Knowledge of how systems are built as well as how to break them., • Strong communication and interpersonal skills., • Able to write clearly and succinctly., • Rapid learner with strong attention to detail., • Able to work autonomously and prioritise as required., • Willing to admit mistakes and seek feedback to improve performance., • Personal projects which you can show or talk about., • Experience playing CTFs., • Security certifications demonstrating practical ability, e.g. OSCP., • Onsite gym, sauna, and fitness classes at no charge (Wellbeing Space)., • Extensive medical benefits including an on‑site doctor and therapist at no charge., • Breakfast and lunch provided daily., • Various supports for caregivers, including emergency dependent care., • Beautiful King’s Cross office: (Office Tour)., • 25 days paid holiday per year + statutory holiday and paid sick days., • Generous Pension contributions., • We work 4 days per week in the office, 1 from home unless stated otherwise. #J-18808-Ljbffr

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 300 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with more than 1 exabyte of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do. The technology and market data procurement department is responsible for achieving value for the firm in the execution of a budget in the hundreds of millions of pounds annually. This role supports the research, evaluation, sourcing, procurement, and commercial management of technology products and services across the entire firm. A key aspect of the role is staying up to date with emerging technologies, market trends and vendor capabilities, providing technology guidance and strategic recommendations to engineering, infrastructure and business development teams to support the firm’s technology decisions. The portfolio includes IT hardware, enterprise software, cloud services, market data, network and connectivity services, datacentre and colocation services, professional services and emerging technologies. You will get broad exposure to a wide range of cutting-edge technology deployments. You will work closely with engineering, infrastructure, and business stakeholders to understand their requirements, evaluate technical and commercial options, negotiate with suppliers, and support implementation. We are seeking someone who combines sound commercial judgement with the technical aptitude to research unfamiliar technologies, assess vendor proposals and manage initiatives from initial requirements through contract, delivery and lifecycle management. Responsibilities • Research, evaluate, negotiate and procure technology products and services across hardware, software, cloud, market data, network and connectivity, datacentre and colocation, professional services and emerging technologies., • Lead structured sourcing processes, including requirements definition, RFIs, RFPs, vendor due diligence, proposal evaluation, commercial negotiation, contract review, purchase approvals and implementation handover., • Work with engineering, infrastructure, information security, legal, finance and business teams to define requirements and assess technical options, vendor roadmaps, licensing and commercial models, support arrangements, implementation risks and total cost of ownership., • Support the procurement and delivery of complex infrastructure projects, including compute, GPU, storage, network, power, cooling, datacentre capacity and exchange connectivity requirements., • Manage supplier relationships across OEMs, resellers, software and cloud providers, market data vendors, network carriers, datacentre and colocation providers and professional services firms., • Support the commercial and procurement workstreams of technology implementation projects, including supplier coordination, delivery planning, risk management, acceptance and operational handover., • Manage hardware and enterprise software asset lifecycles, including renewals, maintenance, support, utilisation, refresh planning and decommissioning., • Conduct cost reconciliation, spend analysis, budget tracking, vendor reporting and financial data administration., • Improve procurement processes, documentation, governance and stakeholder workflows. Essential Attributes If you resonate with some or all the following, we encourage you to apply: • Approximately 3 to 6 years of experience in technology procurement, strategic sourcing, vendor management, solutions architecture, technical project delivery, infrastructure sourcing or a related role., • Strong technical aptitude and a practical understanding of enterprise technology environments, with the ability to assess requirements, dependencies, implementation considerations and supplier proposals., • Experience sourcing or delivering complex infrastructure, high-performance compute, GPU, datacentre, colocation, low-latency network or direct-liquid-cooled technology, • Broad knowledge of technology products or services across several categories, such as hardware, software, cloud, data, telecommunications, datacentre services or professional services., • Ability to quickly develop knowledge of unfamiliar or emerging technologies and engage credibly with specialist engineering and business stakeholders., • Commercially astute, with experience running structured sourcing and negotiation processes and evaluating commercial models, contractual terms, supplier risk and total cost of ownership., • Proven project management and organisational skills, with the ability to manage multiple concurrent initiatives and balance technical, commercial, logistical, operational and risk considerations., • Effective communicator with strong stakeholder and vendor management skills, capable of translating technical concepts for non-technical stakeholders and commercial constraints for technical stakeholders., • Articulate, analytical and numerate, with strong verbal and written reasoning skills and a bachelor's degree in an analytical, technical, engineering, scientific, financial or quantitative discipline, or equivalent practical experience., • Experience working in financial services, trading, research computing or another technically demanding environment would be advantageous., • Extensive medical benefits including an on-site doctor and therapist at no charge., • Breakfast and lunch provided daily., • Various supports for caregivers, including emergency dependent care., • 25 days paid holiday per year + statutory holiday and paid sick days. #J-18808-Ljbffr

Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security and freedom online. Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive and Proton Pass. These tools empower individuals and organisations to take control of their personal data, break away from Big Tech’s invasive practices and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, coming from the world's top companies and universities. We value intelligence, learning potential and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You'll have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here! As a full-stack cross-platform Android Engineer, you'll play a pivotal role in re-architecting our mobile stack using Rust, Android/Jetpack Compose and Swift UI. You'll lead with an end-to-end ownership approach, ensuring timely delivery of high-quality, scalable solutions that will delight our customers. Your ambition and enthusiasm will drive innovation and excellence across our Mail and Calendar products. • Develop and maintain cross‑platform mobile applications for Android using a blend of cross‑platform (Rust) and native technologies (Kotlin, Swift), • Take end‑to‑end ownership of mobile application development projects: you'll be comfortable with scoping projects, walking back from deadlines and being able to discern the important from the superfluous, • Foster a culture of innovation by exploring new technologies, methodologies and approaches to mobile development – we tackle complex engineering challenges with creativity and ingenuity, • Optimise mobile applications for performance, usability and responsiveness across different devices and screen sizes, • Master memory management, multithreading and concurrency mechanisms to enhance performance and responsiveness of mobile applications, • Design for scalability, considering factors such as data caching, network bandwidth and server load, • Prioritise customer satisfaction by maintaining a customer‑centric mindset throughout the development process, continuously seeking feedback and iterating to improve the user experience, • Bachelor's degree in Computer Science, Engineering or related field (or equivalent work experience), • Excellent problem‑solving skills and the ability to think outside the box to overcome challenges, • Passion for continuous learning and driving change in the rapidly evolving field of mobile development, • Excellent communication and interpersonal skills, • Proven experience developing mobile applications Android using Kotlin as well as cross‑platform technologies, • Proficiency with Jetpack Compose for Android, and familiarity with Rust, • Strong understanding of mobile app architecture, design patterns and best practices, • Knowledge of memory management techniques and best practices, • Experience with multithreading and concurrency in mobile applications, • Good understanding of scalability considerations when it comes to engineering mobile applications, • Previousexperience working in a fast‑paced, scale‑up environment Even if you don’t meet all the requirements listed above but feel you could still be a great fit, please do apply. • Technology: we provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals, • Learning & Development: we are committed to your professional growth – Proton offers various learning opportunities, including training programs, conferences/events and continual learning, • Employee Benefits: comprehensive health insurance plans, competitive retirement savings options, generous vacation/leave policies and wellness programs, • Stock Options: at Proton, we are all owners of the company and you get stock options when you join us, • In‑Person Collaboration: collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje and Taipei – you can enjoy working from home for up to 30% of the time, while enjoying great company culture during our three core days in the office, • Food: lunch and snacks are provided by Proton every day at our offices, • Transport: we'll always support our employees with transport costs through subsidising public transport, bike allowances or parking spaces based on your office location, • Flexible Working: you can define your own working hours as long as it works with team meetings, • Work that Matters: Proton is a community‑first organisation, started with the support of a crowdfunding campaign and built with community input – to this day, Proton’s only source of revenue is user subscriptions: over 100 million people trust and support Proton, and we put our users and community first in everything we do (read more about our impact here) At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability or socio‑economic background feel valued and empowered. We strive to create equal opportunities, promote open dialogue and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know. When you apply for a position, refer a candidate or are considered for a role at Proton Technologies AG (Proton, we, us or our), your information is stored in Greenhouse, in accordance with its Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymise it. Should you have any inquiries about how we use or manage your information or if you wish to access, correct or delete your data, please contact our privacy team at . Proton does not accept unsolicited CVs from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton. To learn more about our privacy policy, please visit our privacy policy page. #J-18808-Ljbffr

As a Senior Marketing Analyst within the Business Intelligence team you will be responsible for providing insight and analysis into the performance of our client’s full marketing mix, the global digital brands we work with, and ultimately their customers. You will combine your deep expertise in digital marketing analytics with your knowledge of quantitative and statistical methods to ensure that our overall business and marketing strategies become ‘data driven’ and that Managers across different business lines are able to consume insights needed to align to business key performance indicators. You will be responsible for being the primary thought leader on the performance of paid media campaigns across multiple broadcasts mediums and providers, including websites, apps, affiliates, SEO and much more. You will focus on extracting, organizing, and interpreting data to provide insights that help inform strategy and improve campaign results. This role will require strong analytical skills and the ability to communicate complex data in a clear and concise manner. In addition to being a key delivery analyst, you must also lead the development and maturity of our digital analytics capability. This will be through three main routes; standards (the creation of new analytical approaches for others to follow), teaching (showing others how to become better at digital marketing analytics), and industry best practice (identifying trends & technologies that we should adopt). Further, you will need to lead on the design and execution of new, critical intelligence assets (e.g. a completely new attribution model). Working collaboratively with business units and stakeholders across the organisation, you will combine marketing, financial, customer and product data to provide a comprehensive, cross-channel view of business performance. You will be key in the design and implementation of marketing attribution and performance measurement frameworks. • Identify trends and opportunities for optimization by leveraging data from various ad platforms and analytics tools., • As a subject matter expert, set the standards on best practice within the BI team and the wider group, including documentation, QA frameworks and peer review process., • Act as a point of contact for marketing & commercial stakeholders, translating complex analytical outputs into clear commercial narratives., • Distill knowledge to junior analysts to increase effectiveness across the team, raising technical capability and data storytelling., • Assess indirect impact of 360 media campaigns., • Collaborate with the paid media and marketing teams to analyse performance, refine strategies, and suggest data-driven improvements., • Conduct in-depth analysis of audience behaviour, segmentation, and targeting to optimize campaign performance., • Assist in setting up and managing tracking parameters, conversion goals, and custom reports to ensure accurate data collection., • Monitor industry trends and platform changes, providing insights on their potential impact on performance and strategy., • Contribute to the evaluation and onboarding of new analytics tools, data sources, and measurement methodologies. You will need to have: • An analytical mindset. The ability to think logically about complex business problems and how the use of data and analytics can solve these problems, • Strong previous experience in marketing analytics role, with exposure to cross-channel or full-funnel analytics., • Proven ability to work with senior stakeholders, influencing strategy, communicating analytical findings and managing expectations., • Strong understanding of marketing measurement methodologies., • Business and technology hybrid profile, with priority given to business background and acumen, • An understanding of BI and/or Data Warehousing concepts and methodologies, and experience using major Business Intelligence tool(s), • Confident ability in SQL and Tableau, • Strong oral and written communication skills, with a demonstrated ability to build positive, productive interpersonal relationships with stakeholders, • Ability to create and present analyses and reports. As well as utilising expert technical and industry knowledge to advance requests beyond the initial requirements and provide their own opinions and suggestions, • Strong Communicator – An ability to effectively discuss, translate, and describe technical subjects to a non-technical audience and vice versa. Show the ability to bring other teams around to thinking about how data can help improve their processes, • Experience mentoring or coaching junior analysts; demonstrate ability to raise capability across the team., • A team player, able to work together with the global BI team to deliver key business objectives, • Degree in Business Analytics or Technology, Computer Science, Math, Statistics or equivalent experience You will need to have • Proficiency in SQL, Tableau (or other Visualisation tool) and R or Python., • Deep expertise in the analysis of traffic across a wide variety of digital channels, and the production of complex attribution models that go far beyond final click., • Demonstrated knowledge of applied statistical methods or automation using R, Python (or similar)., • Ability to share knowledge or mentor other members of the team on usage of these tools., • Strong communication skills with senior stakeholders across different departments. The above list of duties is not exclusive or exhaustive and the post holder will be required to undertake tasks that are reasonably expected within the scope and grading of the post. #J-18808-Ljbffr

• Reporting to: Josh Pickering, VP of Sales, • We’re hiring an Account Executive to run full-cycle enterprise deals at Adthena, • There’s no presales team — you own the demo, the business case, and the close, • Our average customer stays for seven years, • And right now, with AI search reshaping the entire Google landscape, every brand with a paid search budget needs what we sell, • Our sales team is small and tight, • One of our reps described it as a pack — everyone pushing to be world-class, everyone helping each other get better, • If that sounds like the kind of environment where you do your best work, keep reading, • Full-cycle deal management — discovery, multi-threading, product demos, ROI business cases, proposals, negotiation, and contract execution, • $1M ARR annual quota with a 30% win rate from opportunity creation and average sales cycles under 100 days, • New logo acquisition across your assigned vertical(s), engaging C-level to C-2 decision-makers at enterprise organisations, • Champion building — identifying personal wins, testing whether they’ll sell internally, and co-creating business cases that quantify real cost and risk, • Self-sourced pipeline — you’ll generate ~20% of your own opportunities. The rest comes from your BDR and Marketing. We have dedicated PG days where the team is focused entirely on outbound — it’s a core part of how we operate, • A refined sales playbook built over years and still evolving — MEDDPICC as the operating system, Sandler-influenced techniques, and a coaching culture where feedback flows both ways, • A product that wins — Adthena’s Whole Market View, Smart Monitor, and Local View give clients intelligence no one else can provide, • Domain training — you’ll learn Google Ads, paid search dynamics, and the competitive landscape deeply enough to run technical demos and hold your own with PPC practitioners, • A team that raises the bar — every rep is pushing, sharing, coaching, and competing together. No lone wolves, no passengers, • Up to 6 months fully paid maternity & 2 months paternity, • Stock options, • Flexible Working, • Birthday day off during your birthday month, • Trust-based, uncapped annual leave, • Fully covered medical insurance, • Home office stipend budget (£200 or equiv), • Subsidized medical, vision & dental premiums, • Work from any location for up to 30 days* once per year, • Summer / holiday parties, quarterly company off-sites & monthly get-togethers, • Annual compensation reviews, • Career development pathways which support growth opportunities, • Quarterly volunteer opportunities, • Mental health support (24/7 confidential counselling via our Employee Assistance Program), • Austin parking stipend and tax-efficient commuter benefits, • Employee referral scheme (earn up to £10K for referring just 1 person that gets hired at Adthena), • Bike-to-work scheme You quantify pain, not just identify it — on a live call you’re doing the math with the prospect. “You’ve been dealing with this for three months — what has that cost you in X, Y, Z?” That kind of thing comes naturally to youYou’ve worked in a structured sales methodology — MEDDPICC, Sandler, Command of the Message, or similar. You don’t need to have used ours specifically, but you’ve operated in a disciplined, process-driven environmentYou want to be part of building something — not just carry a bag. We’re looking for people with the trajectory to grow into more over timeYou know how to build a real champion — someone with a personal win at stake, who’ll sell for you internally and get you in front of the economic buyer. You can give specific examples of where you’ve done this3+ years closing enterprise SaaS deals in the $50–100k range with multi-stakeholder buying committees and 60–120 day sales cyclesExperience in selling MarTech or AdTech solutions, or a background in paid search, performance marketing, or a related fieldResearch shows men apply if they meet ~60% of the criteria, while women and underrepresented groups apply only if they meet all requirements. If you have the skills but don’t meet every requirement, reach out – we’d love to explore how you could be a great fit!You’ve sold against “do nothing” — our biggest competitor is the status quo, not a rival vendor. You know how to create urgency when there’s no contract renewal forcing a decisionYou’re comfortable owning the full sales motion — demo, business case, negotiation. No presales team to hand off to. You’re the expert in the roomConsistent quota attainment — you’ve hit 100%+ in at least 2 of your last 3 yearsYou’re genuinely curious about the domain — you’ll need to learn Google Ads and paid search well enough to have credible conversations with practitioners. That should sound interesting to you, not like a chore #J-18808-Ljbffr

MTrec's new career opportunity Our client are specialists in their industry sector, they are looking to recruit a CNC Mazak Turner to join them on a permanent basis. This is a day shift position and working a 4 day working week 37 hours worked Monday-Thursday. The job you'll do We are seeking a highly skilled and motivated CNC Turner (MAZAC) Machinist to join our dynamic manufacturing team. In this role, you will operate and program MAZAC CNC lathes to produce precision components with efficiency and accuracy. Your expertise will contribute to the creation of high-quality parts used across various industries, ensuring that production standards are consistently met or exceeded. This position offers an exciting opportunity to work with advanced machinery, develop your technical skills, and be a vital part of a fast-paced manufacturing environment committed to excellence. Set up and operate MAZAC CNC turning machines, ensuring optimal performance and precision. Program CNC lathes using CAD (Computer-Aided Design) software and SolidWorks to create detailed machining instructions. Interpret technical drawings, blueprints, and specifications to produce complex components accurately. Conduct routine maintenance, inspections, and troubleshooting on CNC equipment to minimize downtime. Utilize hand tools, power tools, and tooling to assist in machine setup, adjustments, and minor repairs. Perform grinding, welding, and assembly tasks as needed to complete finished parts or prototypes. Apply basic math skills for measurements, tolerances, and quality control checks throughout the machining process. Maintain a clean and organized work area while adhering to safety protocols at all times. About You Proven experience operating MAZAC CNC lathes or similar CNC turning machines in a manufacturing setting. Strong mechanical knowledge with hands-on experience using hand tools, power tools, and tooling for machining tasks. Familiarity with CAD software such as SolidWorks and general knowledge of CAD/CAM programming processes. Knowledge of grinding, welding, plastics injection moulding, and assembly processes is a plus. Basic math skills including measurements, tolerances, and calculations necessary for precision machining. Understanding of plastics injection moulding techniques is advantageous but not mandatory. Ability to read technical drawings and blueprints accurately for complex component fabrication. Excellent problem-solving skills with attention to detail in quality control inspections. The Rewards and the Benefits Competitive pay rate Day shift role 4 day working week Monday- Thursday. Company pension Cycle to work scheme On-site parking Sick pay TPBN1_UKTJ

Think of it as a "CT Scan" for the built world. Just as medical imaging uses X-rays to see inside the human body, GScan utilizes naturally occurring particles (muons) to penetrate meters of concrete and steel. This allows asset owners to make proactive, data-driven decisions to maintain safer and more sustainable infrastructure. Why GScan? At GScan, you will work on Physical AI. • The Challenge: 3D Inverse Problem—reconstructing 3D volumes from sparse, high-entropy particle tracks. This presents a complex inverse problem that standardized machine learning frameworks are not designed to resolve., • The Impact: Your models will directly prevent infrastructure failure and reduce CO2 emissions by extending the life of existing structures., • The Growth: We are a mission-driven team of 50+, supported by over €18m in combined seed investments and grants. ✅ Your Mission as an AI Engineer Your goal is to turn the raw behaviour of cosmic ray shower into actionable 3D models of things deep inside concrete or beneath the earth. You will be the bridge between particle physics, 3D reconstruction and business value. • Perform exploratory data analysis (EDA) on complex scanner data to uncover patterns, anomalies, and opportunities for improvement, • Experiment with both established and unconventional DS/ML approaches, proposing out-of-the-box ideas and testing them., • Apply stochastic denoising and unsupervised physics-informed ML to our 3D imaging pipeline. The goal is to ensure reconstruction accuracy by embedding physical laws directly into the learning process to handle noise., • Iteratively refine hypotheses and test assumptions, moving from a "blank page" to production-grade code., • Write efficient, well-documented code in Python and participate in technical code reviews. ✅Qualifications Nobody is perfect, and we don't expect you to be either. You're likely to succeed if you meet 80% of the criteria: • Solid understanding of data science and machine learning fundamentals., • Hands-on experience with Python for data work (NumPy, pandas, matplotlib/Plotly, scikit-learn or similar), • Experience in designing custom ML architectures for non-standard problems., • Strong Math: Grasp of probability theory, linear algebra, and geometry., • Curiosity: Willingness to explore creative approaches where standard libraries reach their limits., • Software Engineering: Comfortable with version control, testing, and extending existing codebases., • Ability to quickly grasp new concepts in particle physics and hardware constraints. Beneficial Interests: Inverse problems, Unsupervised ML, Hardware, Physics, Statistics. What makes working at GScan unique? Physical AI: Work on revolutionary solutions that transform the safety of critical infrastructure and dramatically cut global CO2 emissions. The Greenfield advantage: Shape industry standards in a deep-tech field where the "playbook" hasn't been written yet. Your decisions will define our technical roadmap. Multidisciplinary team: At GScan, AI doesn’t live in a silo. You’ll work directly with our physicists and hardware teams to ensure your models are deeply rooted in the physical reality of the data. International & diverse: We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. Join GScan and help shape the future of scanning technology. If you want to build something novel that the world has never seen, we’re waiting for you 🤝 #J-18808-Ljbffr

At Augmodo, we are expanding our global footprint and building a follow-the-sun engineering model. Currently, our core infrastructure team is based in the US Bay Area. As our customer base and engineering cohorts grow internationally—particularly across Europe and Australia—we need an infrastructure engineer stationed in the EU/EMEA time zone. In this role, you will be the anchor for our European engineering cohort, drive system reliability, and serve as the infrastructure lead during EU business hours. You’ll balance active incident response and system maintenance with long-term infrastructure building. Serve as the primary infrastructure contact during EU working hours, extending coverage to support cross-regional needs in APAC (AUS) and EMEA. Build, scale, and optimize infrastructure dedicated to supporting our growing EMEA teams and regional customer deployments. Proactively manage system health, monitoring, alerting, and incident response for GCP-based workloads to maintain high availability. Automate deployments, manage Kubernetes clusters, and build internal tooling that empowers developers to ship code safely and fast. Establish effective async workflows and handoff protocols with other infrastructure teams to ensure seamless 24/7 continuity. 5+ years of experience as a software engineer in a production environment. Bachelor's degree in computer science, engineering, or math. 3+ years of hands‑on experience running and scaling workloads in Google Cloud Platform (GCP). 3+ years of experience managing production Kubernetes clusters (GKE experience is a big plus). Proficiency in Python and Go for building infrastructure automation, APIs, and operational tooling. Demonstrated experience with Infrastructure as Code (Terraform/Pulumi), CI/CD pipelines, and observability tools (Prometheus, Grafana, Datadog, etc.). High degree of self‑direction and clear async communication skills, with experience thriving in distributed team environments. Familiarity with hosting, serving, or orchestrating agentic AI systems and LLM workflows. Experience building and scaling modern data pipelines or stream-processing architectures. Experience working with early‑stage technical companies This role is based in the London (BST/GMT) or Central European (CET/CEST) time zones. Expect a schedule that provides comfortable overlap with the US Bay Area team for syncs/handoffs (typically early afternoon EU / morning PT), while providing critical coverage during EU hours and the start of the APAC business day. #J-18808-Ljbffr

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals. As a Senior Data Scientist at Hims & Hers, you are a core driver of technical execution and innovation within our data organization. You take complex business challenges and translate them into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize our operations, refine our marketing efforts, and enhance the customer experience. You will not only build powerful models but also help uphold the engineering rigor and standards of our data team. Build from Scratch: Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ML) quickly to prove value before iterating toward complex solutions. End-to-End Execution: Own the complete model lifecycle, from data extraction and feature engineering to deployment, A/B testing, and ongoing performance monitoring. Cross-Functional Collaboration: Partner closely with Engineering, Product, and Finance teams to define technical requirements and translate model outputs into clear, actionable business insights. Uphold Technical Standards: Write clean, modular, and production-ready code. Actively participate in peer code reviews and contribute to the team’s technical best practices. Drive Project Delivery: Navigate technical ambiguity within your domain, breaking down complex project requirements into manageable, executable milestones. Team Mentorship: Provide technical guidance and support to junior data scientists and analysts, helping them troubleshoot roadblocks and adopt best practices. 5+ years of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering Rigor: Proven ability to build for production. Experience working in cloud-based environments (AWS or GCP) and familiarity with CI/CD workflows, version control (Git), and ML Ops principles. Analytical Problem Solving: Strong ability to connect technical metrics to business outcomes. You know how to choose the right algorithm for the right problem rather than just the most complex one. Communication: Excellent ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders. Education: BS, MS, or equivalent experience in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.). 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi‑experiments, difference-in-differences) to measure true business impact beyond standard A/B testing. We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement. #J-18808-Ljbffr

Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. PostHog Code, the only AI devtool that understands your product, not just your codebase. PostHog AI, an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. PostHog is working on a self-driving product and is training its own Deep ML models. This new AI Research team needs an AI Research Engineer who can work with our large data set, develop models, and ship production‑ready solutions. You will be part of a team that researches emerging techniques and brings them into production. Your focus areas include: • Session replay analysis – improving detection of issues in replays with scalable, efficient models., • User behavior prediction – identifying drop‑offs, suggesting improvements, and boosting conversion rates automatically., • Synthetic user testing – simulating users to catch confusing flows or breakages before release., • PhD is a plus; a strong background in mathematics is required., • Alternatively, experience training models with strong math skills., • Strong coding ability in Rust (preferred), CUDA, or C., • Solid understanding of transformer architectures., • A product mindset; you’ll build production‑ready products., • Hybrid Remote with the London Office., • Pure theoretical expertise – this is not a Jupyter notebook job., • Someone who only wants to research and publish; shipping has priority. If you have a disability, please let us know if there's any way we can make the interview process better for you. We have a transparent compensation system. • Benchmark (United States - San Francisco, California) $285,000, • Step modifier 0.95 - 1.04, • Generous, transparent compensation & equity, • Unlimited vacation (with a minimum), • Two meeting‑free days per week, • Home office, • Coworking credit, • Private health, dental, and vision insurance., • Access to our Hedge House, • Carbon offsetting, • Pension & 401k contributions, • We hire and pay locally, • Company offsites #J-18808-Ljbffr

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor is the world's leading travel platform. Viator, a Tripadvisor company, is the leading marketplace for travel experiences, connecting travellers with 300,000+ things to do around the world. Our Marketing Analytics team owns the analytics stack for marketing — covering Search, CRM, Display, and Affiliate — in a high-velocity ecommerce environment where booking dynamics, intent signals, and seasonality make every data problem genuinely interesting. Search Marketing sits at the center of our growth strategy, and we're investing seriously in both the analytics craft and the AI tools that make that craft faster and sharper. The Marketing Analytics team is looking for a Sr Data Analyst, Search Marketing who is, at their core, a strong analyst — sharp with data, comfortable in SQL, and genuinely fluent in the search landscape: how paid and organic search interact, how the SERP evolves, and how that translates into traffic and revenue. Alongside that analytical core, we're looking for someone with a real appetite for AI — someone who is curious about how AI tools can speed up analysis, sharpen insight, and change the way analysts work, and who wants to keep growing in that direction. You’ll be expected to arrive with a solid command of search marketing analytics and be able to work with a good degree of independence from day one. You’ll partner closely with channel owners and stakeholders across the business, and help shape how less experienced analysts on the team approach search data. • Analyze search performance. Dig into SEM and SEO data to understand what's driving traffic and revenue, and translate that into clear, actionable insight for the marketing team., • Ensure performance is properly measured. Make sure search channel performance is tracked accurately and reliably, and surface insights that help the team increase both performance and efficiency., • Support experimentation. Help design and analyze incrementality tests and experiments across search channels, ensuring results are measured rigorously and communicated clearly., • Track the SERP. Build a working understanding of how paid and organic search features interact, and help monitor the impact of Google algorithm updates on our performance., • Analyze the competitive and demand landscape. Track impression/click share, competitor positioning and search demand trends to uncover opportunities across the business — informing our bidding strategy and influencing supply acquisition., • Stay ahead on AI search. Build an understanding of the evolving AI search landscape, track our presence in LLM and AI-generated responses, and turn those findings into concrete recommendations for our AI search strategy., • Monitor daily trading. Keep a close eye on day-to-day search performance against targets, flagging trends and anomalies early., • Collaborate across channels and teams. Work with analysts on CRM, Display, and Affiliate Marketing, as well as ML colleagues, to spot opportunities where search insights connect to the bigger marketing picture., • Bring an AI-curious mindset to the work. Look for opportunities to use AI tools — for querying data faster, summarizing findings, or automating recurring reporting — and bring ideas back to the team on what's actually useful versus hype., • Build toward bigger business cases. Support the development of analyses and recommendations that improve search traffic and commercial outcomes over time., • A solid analyst first — SQL and structured thinking come naturally to you, and you enjoy getting into the details of the data, • Data driven — you let the numbers guide the conversation, and you're comfortable challenging assumptions with evidence, • Curious about search: you want to understand why something ranks, why traffic moved, and what it means for the business, • A true team player — you work well with analysts from other channels, ML colleagues, and stakeholders across the business, and you're generous with your time and ideas, • Genuinely interested in AI — you've played with AI tools yourself, and you're excited to grow your skills in that space rather than waiting for it to be handed to you, • Comfortable asking questions and learning fast, without needing every answer to already be known, • A clear communicator who can turn a messy dataset into a simple, useful takeaway, • Self-motivated and able to work independently in a fast-moving environment, while still being a strong team collaborator, • Bachelor's degree in an analytical field (Math, Economics, Statistics, Engineering, or related) required., • 3-5 years in an analytical role, ideally at a fast-paced ecommerce company, with experience in Search Marketing Analytics a plus, • Strong SQL skills and comfort working with large, complex datasets, • Basic proficiency in Python, • Experience with data visualization tools (e.g., Tableau, Looker), • Solid understanding of statistical testing and experimentation, • Genuine personal interest in AI, with curiosity about applying AI tools to analytics work, • Strong communication skills, able to present findings clearly to non-technical stakeholders, • Familiarity with SEM, SEO, PPC, or content marketing concepts, • More advanced programming experience in Python or R, • Hands-on experience with AI-powered analytics or querying tools, • Experience working in a matrixed, cross-functional marketing team, • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses, • “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team., • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work., • Donation matching. Give back? Give more! We match qualifying charitable donations annually., • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs., • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you., • Travel perks. We believe that travel is employee development, so we provide discounts and more., • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges., • Health benefits. We offer great coverage and competitive premiums., • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers! #J-18808-Ljbffr

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals. As a Senior Data Scientist at Hims & Hers, you are a core driver of technical execution and innovation within our data organization. You take complex business challenges and translate them into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize our operations, refine our marketing efforts, and enhance the customer experience. You will not only build powerful models but also help uphold the engineering rigor and standards of our data team. Build from Scratch: Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ML) quickly to prove value before iterating toward complex solutions. End-to-End Execution: Own the complete model lifecycle, from data extraction and feature engineering to deployment, A/B testing, and ongoing performance monitoring. Cross-Functional Collaboration: Partner closely with Engineering, Product, and Finance teams to define technical requirements and translate model outputs into clear, actionable business insights. Uphold Technical Standards: Write clean, modular, and production-ready code. Actively participate in peer code reviews and contribute to the team’s technical best practices. Drive Project Delivery: Navigate technical ambiguity within your domain, breaking down complex project requirements into manageable, executable milestones. Team Mentorship: Provide technical guidance and support to junior data scientists and analysts, helping them troubleshoot roadblocks and adopt best practices. 5+ years of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering Rigor: Proven ability to build for production. Experience working in cloud-based environments (AWS or GCP) and familiarity with CI/CD workflows, version control (Git), and ML Ops principles. Analytical Problem Solving: Strong ability to connect technical metrics to business outcomes. You know how to choose the right algorithm for the right problem rather than just the most complex one. Communication: Excellent ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders. Education: BS, MS, or equivalent experience in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.). 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing. We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit Global Candidate Privacy Statement. #J-18808-Ljbffr

GumGum is The Mindset Company™ transforming advertising. We’re an advertising technology company delivering results by matching brands with people in the right mindset in the moments that matter. Our platform is powered by the Mindset Graph™, our AI-driven data engine that processes billions of real-time contextual, creative, environmental, and historical signals to match every ad with the most receptive audience. The result is advertising that drives meaningful outcomes for advertisers and publishers, and is more relevant for consumers. We were founded in 2008 and are headquartered in Santa Monica, California, operating in over 19 markets across North America, Europe, Japan, and Australia. Our principles guide our work every day and are as follows: • Customer-Obsessed: We’re focused on advertising solutions that solve needs and drive success for clients and partners., • Make it Happen: We have a bias for action and take ownership to deliver results., • Always Innovate: We push boundaries with creativity and technology., • Foster Belonging: We ensure colleagues feel included, supported, and empowered to thrive. Reporting to the Head of Publisher Success, International, the Manager, Publisher Success (UK) leads a team of EMEA Publisher Success professionals while directly managing a portfolio of key publisher accounts to drive retention, growth, and long-term value. This role oversees daily team performance, coaching, operational efficiency, and goal accountability while serving as a senior point of contact for strategic partners. Additionally, the Manager collaborates cross-functionally with teams like Publisher Development, GAPS, Revenue, and Product to align publisher needs with GumGum’s broader supply strategy, ensuring the overall performance and evolution of the EMEA Publisher Success organization. • Lead, coach, and mentor direct reports within the EMEA Publisher Success team to boost performance, foster career growth, and meet key business goals., • Serve as the senior point of contact for high-value publisher partners, driving strategic oversight, retention, and long-term account growth., • Monitor partner health, track performance metrics, and optimize inventory allocation to identify upsell opportunities and maximize overall yield., • Establish streamlined processes, training materials, and Zendesk SLAs to elevate service quality, consistency, and operational efficiency across the team., • Proactively track network-level trends and lead technical/operational troubleshooting alongside Engineering and Ad Ops to resolve client risks., • Collaborate closely with Publisher Development, Revenue, Product, and Solutions Engineering to align publisher needs with broader supply strategy., • Partner with development teams to integrate new supply smoothly and manage the successful transition of publishers into ongoing success management., • Keep publisher partners informed and compliant on emerging digital ad tech trends, standards, and regulatory requirements (e.g., TCF 2.2, ads.txt)., • Proven capability to lead, coach, and mentor an account management team by setting clear priorities, managing performance, and fostering career growth., • Strong verbal and written communication skills with a track record of running effective client-facing and cross-functional meetings., • Analytical approach to problem-solving, with the ability to break down complex issues and translate data trends into actionable insights., • Proficiency in media math, Excel, and reporting tools to analyze yield, track publisher health, and identify revenue opportunities., • A solutions-oriented mindset for troubleshooting technical integration issues directly alongside Product Management and Engineering teams., • Technical familiarity with workflow platforms including JIRA, Zendesk, and Google Suite, plus experience leveraging AI tools to improve team efficiency., • Strong organizational and task-prioritization abilities to manage multiple competing initiatives simultaneously in a fast-paced environment., • Deep expertise in digital advertising, ad tech, programmatic landscapes, and emerging industry trends., • 5+ years of experience in publisher-side ad tech, with direct account management and client solution-building expertise., • 1–2+ years of experience directly managing and developing team members., • Hands-on experience working with European publishers and familiarity with integration methods (Prebid, JS tags, S2S); CTV experience is a plus., • Learn about our benefits & perks package at gumgum.com/benefits. Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. However, for occasional in-person collaboration, we kindly ask that this position be located within a 'commutable' distance to our office. • 2025 & 2026 Digiday Media Awards Europe Best Contextual Targeting Offering, • 2025 AdExchanger Awards AI Innovators, Technology & Service Provider, Finalist, • 2025 MARKETECH APAC Marketing Technology Awards Silver Winner for Best Contextual Advertising Tech Platform We're always learning and evolving as a company, and we continue to take thoughtful steps to support our people and strengthen our culture. • Instagram: @gumgum, • LinkedIn: company/gumgum/, • YouTube: @GumGumInc, • TikTok: @itsgumgum #J-18808-Ljbffr

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Applied Innovation's Next Frontier focuses on emerging technologies, including Physical AI, Quantum Computing, and Next-Generation AI amongst others. This initiative translates advanced capabilities into measurable outcomes, helping clients and EY teams improve decision-making, strengthen resilience, and unlock new opportunities through technology-driven solutions. EY advances innovation in Quantum by enabling regional quantum labs and supporting business-driven initiatives. The focus is on practical quantum technologies and framework that deliver measurable, enterprise-value level benefits. Next Frontier’s Quantum team is led by Kartheek Solipuram, EY Global Innovation Quantum Leader, under the leadership of Dr. Rodrigo Madanes, EY Global Innovation Next Frontier Leader. The Quantum Associate will work on Quantum Technology initiatives. This role requires background, knowledge, and practical experience with the usability and impact of quantum technologies. There will be 60-70% focus on quantum safety and 30% focus on quantum compute. • Build & Commercialize: Lead and support development, demos, and presentations of solutions in both quantum cybersecurity and quantum computing domains., • Quantum Safety: Contribute to the organization’s PQC (post‑quantum cryptography) readiness, including risk assessments, migration planning, and crypto‑agility improvements., • Quantum Compute: Develop and evaluate quantum algorithms and workflows for optimization, machine learning, and simulation use cases., • Software Development & Implementation: Build software kits and tools, design and implement architectures, benchmark performance, and employ best practices in software engineering., • Thought Leadership: Produce clear leadership and sector presentations, assessment reports, standards, and executive‑level documents., • Teaming: Collaborate with cross‑functional teams including security engineering, ML/AI groups, platform teams, and product stakeholders., • Quantum Cyber:, • Assess quantum‑related risks (e.g., harvest‑now‑decrypt‑later exposure) and contribute to mitigation roadmaps., • Prototype and benchmark PQC algorithms (e.g., ML‑KEM/Kyber, ML‑DSA/Dilithium) within services and applications., • Maintain an index of how the current and upcoming proposed algorithms fare fully PQ safe and hybrid versions of the same against operational impacts to recommend appropriate migration roadmaps., • Support development of crypto-inventory tools to detect legacy cryptography dependencies., • Implement and test hybrid key exchange schemes and measure performance impacts (latency, throughput, resource usage)., • Assist with design and validation of crypto-agility patterns, certificate lifecycle updates, and key management transitions., • Contribute to internal PQC migration guides, standards, and runbooks., • Quantum Compute & Algorithms:, • Develop accelerators using NISQ‑appropriate quantum algorithms (VQE, QAOA, QML) and industry SDKs for use cases., • Run extensive testing and validation exercises to estimate viability, usage and support roadmapping of quantum utility for use cases., • Build end‑to‑end prototypes for domain‑specific use cases such as optimization, simulations, modeling of Quantum as well as next frontier of Quantum & AI/ML tech., • Perform resource estimation (qubit count, gate depth, circuit complexity) and evaluate classical–quantum tradeoffs., • Maintain reproducible experimentation pipelines using Python, Jupyter, containerization, and CI workflows., • Foundational understanding of quantum computing principles, qubits, gates, NISQ constraints, and error mitigation., • Working knowledge of post‑quantum cryptography, including KEMs, signature schemes, and cryptographic standards., • Familiarity with PKI, TLS 1.3, certificate management, and key exchange mechanisms., • Proficiency with one or more quantum SDKs: Qiskit, Cirq, PennyLane, AWS Braket, Azure Quantum/QDK., • Strong Python programming capabilities, including numerical libraries (NumPy, SciPy, pandas)., • Understanding of classical optimization, linear algebra, and probabilistic reasoning., • Experience with version control (Git), containers (Docker), and CI/CD workflows. Languages: Python, C++, Rust, or equivalent, • Strong written and verbal communication skills, with the ability to distill complex concepts for different audiences., • Analytical thinking and a structured, hypothesis-driven approach to problem solving., • Bachelors or Masters in Physics, Computer Science, Cybersecurity, EE, Applied Math, or related field; or equivalent hands-on experience., • 2-3+ years of Hands-on experience in at least one of the following areas:, • Post quantum cryptographic implementations, • Applied cryptography or security engineering, • Quantum algorithm development, • Experience in quantum technologies, cryptography, or related computational fields is a plus., • Publications, preprints, hackathon projects, or open-source contributions in quantum or applied security are highly desirable but not required., • Familiarity with Cybersecurity fundamentals (public-key crypto, KEMs/signatures, TLS, PKI concepts)., • Understanding of post-quantum cryptography basics and current standardization landscape., • Experience with at least one quantum SDK (e.g., Qiskit, PennyLane, or Azure Quantum QDK)., • Ability to design small experiments, analyze results, and write clear technical documentation. At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences ey.com/au/careerdevelopment Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy. A comprehensive benefits package: From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally www.ey.com/au/benefits Salary: We offer a competitive salary which is open to negotiation pending on skills and experience. Acknowledgement of Country EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Find out more about our vision for reconciliation at ey.com/en_au/careers/indigenous Diversity, equity, and inclusiveness (DE&I) are core to who we are, how we work and how we live our values. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at or (option 2). Anything you tell us will be kept completely confidential. Are you ready to shape your future with confidence? Apply today. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. #J-18808-Ljbffr

London, UK • Own the specialized recruiting process from sourcing to complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions., • Develop high-level strategies to meet aggressive hiring goals, working alongside Engineering Leads to align technical priorities and performance objectives., • Plan out-of-the-box sourcing strategies to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, competitive programming forums (Codeforces), and quantitative finance conferences (NeurIPS, ICML)., • Ensure a white-glove candidate experience, keeping sophisticated candidates advised and well-prepared for rigorous technical assessments throughout the entire process., • Partner with hiring managers to deeply understand the nuances of specific quant stacks, modeling requirements, and performance engineering needs., • Own and drive the intake meeting, interview team kick-off, and technical debrief process to ensure a data-driven hiring bar., • Deliver weekly performance analytics and progress reports to hiring managers and senior leadership., • 7+ years of proven experience in recruiting, with at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent., • A blend of agency (specialized search) and in-house startup experience is preferred to navigate both high-volume and high-touch environments., • Strong sourcing skills with a proven track record of converting passive, highly-compensated talent into hires., • Experience using niche channels to source candidates, including math Olympiads, research labs, and diversity-in-STEM academic events., • Self-starter mentality who thrives in a fast-paced, collaborative environment with exceptional organizational precision., • In-depth knowledge of the quantitative tech stack, including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing., • Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds., • Expertise in the tools of the trade: Greenhouse (ATS), LinkedIn Recruiter, specialized sourcing tools (e.g., Entelo, SeekOut), and technical repositories like GitHub., • Strong written and verbal communication skills, with the ability to "speak the language" of PhDs and elite engineers., • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits., • Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. #J-18808-Ljbffr

Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We’re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It’s how we stay driven, supportive, and always one step ahead as AI reshapes our world.Why this role?As a Senior Technical Success Manager, you will be a trusted, day-to-day partner for our enterprise customers, helping them adopt and get lasting value from Snyk’s Application Security platform. You’ll be the advisor who turns "security" from a blocker into an enabler, guiding engineering and security teams through their DevSecOps journey.If you are passionate about helping customers navigate change and unlocking business value through data-driven analysis, this is a great opportunity to grow your career at the intersection of technology and customer success.What You’ll Do:Drive adoption and value realization for a portfolio of enterprise customers across their Application Security workflows.Build and foster trusted relationships with stakeholders across customer engineering and security teams to support adoption and retention.Deliver structured onboarding programs that help customers achieve their security program goals using Snyk’s suite of products.Advocate internally for customer needs, partnering with Product, Sales, and Support to flag risks and inform roadmap feedback.Prepare and help facilitate business review meetings (QBRs), using data to demonstrate ROI and surface expansion opportunities.Coordinate internal and external resources to remove barriers to adoption and resolve technical challenges.What You Bring:5+ years of experience in a customer-facing technical role, engaging with both practitioners and stakeholders to solve business problems with advanced technologies.Experience working closely with technical customers within the Enterprise space in UK/I or EMEA.Strong working knowledge of Developer or Application Security tools and workflows (e.g., GitHub, Jira, Jenkins, VS Code).Experience supporting technical or engineering initiatives, with strong problem-solving and business case skills.Strong communication skills, with the ability to facilitate discussions, handle objections, and influence stakeholders from end-users to managers.Strong organizational skills and the ability to thrive in a collaborative, fast-paced environment.It’d Be Awesome If You Also…Have a developer background, coding experience, or deep familiarity with modern DevOps environments.Have experience supporting technical transformation or change management projects.Have a history of problem-solving and innovation in developing technology programs.Possess a Bachelor’s Degree in computer science, technology, engineering, math, business, or equivalent experience.Enjoy translating complex technical wins into clear business value—you love a good success story!#LI-TF1We care deeply about the warm, inclusive environment we’ve created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you’re the right person, do apply anyway!About SnykSnyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.Benefits & ProgramsPrioritize health, wellness, financial security, and life balance with programs tailored to your location and role.Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self developmentGenerous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregiversHealth benefits, employee assistance plans, and annual wellness allowanceCountry-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances #J-18808-Ljbffr

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems: Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio. Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech. Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”. Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations. We are seeking researchers who: See "unsolved" problems as opportunities to pioneer entirely new approaches Can identify the one critical experiment that will validate or kill an idea in days, not months Have the vision to scale successful proofs-of-concept 100x Are obsessed with using AI to automate and amplify your own impact If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative. Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques History of open-source contributions or research publications that have advanced the state of the art in speech/language AI An ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models. Creative Solutions to Known Bottlenecks Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts. Turning Theory into Practice Whether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential. Clear Impact Through Prototypes & Open-Source Many references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress. Emphasis on Large-Scale Data and Efficient Pipelines Papers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., "data optimal regime") can yield high performance even in smaller models. Strategic Use of Data for Staged Training A recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance. Efficient Implementations at Scale Many works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices. Real-Time & On-Device Constraints SoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness. Architectural & Optimization Details Papers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency. Controlled Comparisons & Ablations Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter. Multifold Evaluation Metrics From MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics. Stress Tests & Edge Cases Whisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and "red-team" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities. Overall, an ideal researcher in deep learning consistently demonstrates: A solid grounding in theoretical and statistical principles A talent for proposing and validating new algorithmic solutions The capacity to orchestrate data pipelines that scale and reflect real-world diversity Awareness of hardware constraints and system-level trade-offs for efficiency Thorough and transparent experimental practices These qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning. This job description was generated through analysis of the following papers: Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356) Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037) Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206) Scaling Laws for Neural Language Models (arXiv:2001.08361) BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093) In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760) Neural Discrete Representation Learning (arXiv:1711.00937) SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312) Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505) Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219) Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060) #J-18808-Ljbffr

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com. We are looking for an experienced Staff Software Engineer who can design and build best-in-class planning systems for autonomous driving in structured, low-speed environments. In this role, you'll be the technical backbone of the planning stack — owning the design and implementation of production-grade mission planning, behavior planning, and motion planning software. You'll work across the full planning pipeline to achieve category-defining vehicle autonomy for the airside, tackling hard problems in trajectory optimization, decision-making under uncertainty, and real-time constraint optimization. This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team. • Design, implement, and iterate on the mission planner, behavior planner, and motion planner for autonomous ground support equipment operating in airport airside environments., • Drive key technical decisions across the planning stack — selecting algorithms, defining interfaces, and establishing the architecture that the team builds on., • Prototype and evaluate new planning approaches (e.g., optimization-based methods, search-based planners, learning-augmented pipelines) and bring the best ideas to production., • Collaborate cross-functionally with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system., • Establish and promote best practices in software development, functional safety, and systems engineering as they apply to the planning domain., • Mentor other engineers through technical guidance, code review, and design discussions., • Bachelor's or Master's degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field., • Extensive hands-on experience designing and implementing planning modules for autonomous systems shipped to production or deployed in real-world operations., • Strong programming skills in C++ (preferred) or Python, and experience with Linux-based operating systems., • Demonstrated ability to take ambiguous technical problems and drive them to well-architected solutions independently., • Excellent communication skills, proactiveness, and a strong sense of ownership., • MS or Ph.D. in Computer Science, Robotics, or a related field., • Mastery of Modern C++ (14 and beyond) and safety-critical coding practices (e.g., MISRA, ISO 26262)., • 5+ years of industry experience in planning for robotic ground vehicles., • In-depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware., • Experience in startup environments, demonstrating adaptability to rapidly changing priorities. #J-18808-Ljbffr

Join to apply for the FP&A Senior Analyst role at S&P Global About The Role Grade Level: 10 About the Role: Senior Financial Analyst. The Team: The S&P Global Market Intelligence Divisional Finance team is a dynamic group that partners with business leadership to support growth. Team members are based in Charlottesville, New York, London, Dallas, Denver, Raleigh and Manila. The Impact: Contribute to financial reporting and analysis for Market Intelligence functional groups. Use analytics tools and business partnering skills to identify and manage key performance drivers, present findings to senior leaders, and support decision‑making and forecasting with large data sets. What’s in it for you: Dynamic global environment, development opportunities, and exposure to enterprise initiatives. Build analytical workflows to support strategic initiatives and provide timely financial recommendations. Responsibilities • Provide high‑quality financial information on a timely and accurate basis with action‑oriented commentary and analysis., • Accumulate data from company sources to assist in the preparation of monthly financial deliverables., • Perform revenue validations using analytical procedures and research variances through billing data, accounting systems, and customer contracts., • Assist in developing and distributing management reporting that tracks key performance metrics against business goals., • Track operational expenses and research expense trends., • Prepare key hiring and other expense metrics., • Identify opportunities to improve processes, implement best practices, and reduce complexity., • Assist in special projects or key initiatives for the divisional finance organization., • Provide analysis and guide business leaders on headcount management and cost structure., • Articulate operational and commercial actions for current‑year forecasts and budgets., • Work closely with business leaders on budgets and forecasts to:, • Ensure up‑to‑date high‑quality revenue and expense forecasts highlighting risks and opportunities., • Ensure the business has an accurate budget reflecting long‑term plans and owned by the business., • Submit forecasts and budgets in a timely manner. Compensation/Benefits (US candidates only) S&P Global anticipates a base salary range of $85,773 to $148,762.5, based on location, experience, and skills. The role includes an annual incentive plan and additional corporate benefits (details available upon request). What We’re Looking For Basic Required Qualifications • Bachelor’s Degree in Accounting, Finance, Economics, Statistics, Math or related field. MBA and/or CPA preferred., • 5+ years of experience in financial analysis, operations, and/or accounting in a large, complex organization., • Strong investigative research and analytical capabilities., • Problem‑solving skills with the ability to develop and implement innovative solutions., • Experience with dashboard design (e.g., Tableau) and clear quantitative visualization., • Highly proficient in MS Excel (Pivot tables, V‑Lookups, IF functions, etc.) and PowerPoint., • Ability to multi‑task, work under pressure, and meet tight deadlines., • Excellent written and oral communication skills. Preferred Qualifications • Strong knowledge of U.S. GAAP., • Proficiency with Oracle Financials or similar systems, Anaplan, and Oracle Smartview. Right To Work Requirements – Unlimited right to work in the United States. Equal Opportunity Employer – S&P Global is an equal opportunity employer and considers all qualified candidates without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, or unemployment status. Only electronic job submissions will be considered for employment. For disability accommodations during the application process, please email: #J-18808-Ljbffr

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. • Identify areas where ML can create value for our customers, • Identify the right ML framing of product problems, • Working with teammates and Product and Design stakeholders, • Conduct exploratory data analysis and research, • Deeply understand the problem area, • Research and identify the right algorithms and tools, • Being pragmatic, but innovating right to the cutting-edge when needed, • Perform offline evaluation to gather evidence an algorithm will work, • Work with engineers to bring prototypes to production, • Plan, measure & socialize learnings to inform iteration, • Partner deeply with the rest of team, and others, to build excellent ML products, • Broad applied machine learning knowledge, • 3-5 years applied ML experience, • Practical stats knowledge (experiment design, dealing with confounding etc), • Intermediate programming skills, • Strong communication skills, both within engineering teams and across disciplines., • Comfort with ambiguity, • Typically have advanced education in ML or related field (e.g. MSc), • Scientific thinking skills, • Track record shipping ML products, • PhD or other experience in a research environment, • Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, • Strong stats or math background, • Visualization, data skills, SQL, matplotlib, etc. We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! • Competitive salary and equity in a fast-growing start-up, • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen, • Regular compensation reviews - we reward great work!, • Pension scheme & match up to 4%, • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents, • Flexible paid time off policy, • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones, • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too, • MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done, • Relocation support for those moving to our offices At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. #J-18808-Ljbffr

Apple's Services Engineering organization (ASE) is seeking a deeply technical Distributed Systems Database Engineer to help architect the next generation of our massive-scale data platform. ASE Data Services operates Apache Cassandra and related coordination systems across Apple's datacenters worldwide, forming a foundational storage layer for iCloud and hundreds of millions of global users. As our fleet grows, we are evolving our platform to support true multi-tenancy, dense resource utilization, and highly predictable performance. We are looking for an engineer to design and build an intelligent, auto-balancing cluster control plane that dynamically optimizes our hardware footprint. You will move comfortably between the abstract math of capacity modelling and the concrete realities of running distributed database at scale. The ASE Data Services team is building an automated, multi-tenant platform layer designed to extract maximum efficiency out of our global footprint without compromising on reliability. This requires an extraordinary degree of engineering rigor. You will own the architecture for resource quota management, node-level capacity estimation, driving performance efficiencies and dynamic cluster rebalancing algorithms across our fleet. You will figure out how to model CPU, memory, IOPS, and data-streaming requirements per node, and build the software that automatically redistributes data and workloads to optimize the total node count. Over time, the platform will lean on modern workload-scheduling and orchestration primitives to enforce these boundaries, turning raw hardware into a highly efficient, self-healing, self-balancing multi-tenant utility. This work demands an innovative spirit, deep systems intuition, and the communication skills to partner with platform, SRE, and product teams across Apple. • Auto-Balancing Control Plane: Design and implement automated cluster balancing software that dynamically redistributes data and workloads across the fleet, optimizing for criteria like node count while ensuring safe thresholds for CPU, memory, and network utilization., • Streaming Load Optimization: Architect rebalancing mechanisms that safely throttle and schedule heavy data streaming operations (cluster expansions, node migrations, ring balancing) to prevent live production traffic degradation., • Multi-Tenant Architecture: Design and implement robust multi-tenancy frameworks within our distributed storage systems, ensuring hard isolation, tenant safety, and zero noisy-neighbor impact., • Resource Modeling & Capacity Engineering: Develop algorithmic models to accurately estimate and forecast CPU, memory, IOPS, and network bandwidth requirements per node that tracks evolving data workloads., • Quota Management & Rate Limiting: Build and maintain global and local quota management systems, dynamic rate-limiting, and admission control systems to protect cluster health., • Failure Domain Isolation: Reason about and implement strict boundary controls across diverse infrastructure, factoring in cross-datacenter connectivity, host placement strategies, and cloud/bare-metal failure domains., • Cross-Team Delivery: Partner closely with SRE, platform, and integration teams to ship, operate, and harden this system in production from design through on-call-grade reliability., • BS or MS in Computer Science, Computer Engineering, or equivalent work experience., • 7+ years of experience in infrastructure engineering, systems programming, or distributed systems development., • Professional experience developing distributed systems (consensus protocols, replication strategies or consistency models., • Experience profiling and modeling node-level resource usage (e.g., CPU, memory, I/O), • A bias toward experimentation, you form hypotheses, prototype quickly, measure honestly, and let data settle the hard architectural questions., • Cluster Orchestration & Balancing: Hands-on experience building auto-balancing systems, scheduling frameworks, or multi-dimensional resource allocation algorithms for large-scale distributed systems., • Database Internals & Streaming: Experience with distributed database internals LSM-tree architectures. Deep understanding of streaming mechanics during node join/leave/move operations is a major plus., • Workload Scheduling at Scale: Experience running large-scale stateful workloads on modern orchestration platforms (e.g., Kubernetes), with an understanding of container runtime boundaries, resource limits, and scheduling topologies., • Quota & Traffic Control: Experience implementing admission control, token/leaky-bucket algorithms, or distributed rate limiting in high-throughput environments while considering fairness., • Kernel & OS-Level Intuition: Familiarity with Linux cgroups (v1/v2), eBPF, I/O schedulers, and network topologies that govern resource isolation or the appetite to dig into them on demand., • Willingness to ramp on the JVM, since much of our current stack is Java., • Experience transitioning large single-tenant legacy systems into modern shared-resource, auto-scaling architectures. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Role Number: 200686966-2114 #J-18808-Ljbffr

245 Hammersmith (95989), United Kingdom, London, Manager, Business Analysis. Title: Manager, Business Analysis – Deal Economics & Analytics (Global Deals). Location: London, United Kingdom (Hybrid). Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission: We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK. As a Manager, Business Analysis at Capital One you will apply your strategic and analytical skills to major opportunities and challenges facing the company. You will team with world‑class professionals to develop and test strategies that ultimately impact the bottom line. And you’ll do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. The Manager, Business Analysis, Deal Economics & Analytics role is within Capital One’s Global Payment Networks' (GPN) Global Acceptance organization. GPN oversees all operations across the Discover®, PULSE®, and Diners Club International® Networks. The Global Acceptance team defines and shapes GPN’s strategic agenda by expanding acceptance across our priority markets, owning and expanding strategic relationships with global acquirers, merchants, and payment service providers, and driving local issuance partnerships around the globe. The team brings together sales, marketing, strategy, and operations associates all working toward that shared acceptance goal. In this role, you will sit within the Global Deals team, which orchestrates and drives deal analytics, pricing, and negotiations across our strategic network relationships. You’ll operate in tight, deal‑specific pods that reconstitute around live negotiations and work with key internal and external stakeholders to drive problem solving and alignment. Success in this role depends on being strategically minded, quantitatively rigorous, and able to concisely communicate holistic, cross‑functional information in a coherent package. You’ll be trusted to move fast and land outcomes, not just produce analysis. • Strategy: Help build strategies (i) supporting the GPN leadership team with their top priorities and (ii) influencing the development of new & existing platforms, as well as breakthrough technology and concepts., • Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations., • Partnership: Work closely with colleagues across Capital One including Pricing, Corporate Development, Sales, and others to drive improvement in quality, volume, service, and profitability., • Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management., • Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business., • Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills., • Clear results orientation: Display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment., • Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment., • Previous consulting experience is a plus., • Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)., • At least 1 year of experience in analysis., • Nice to Have: Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering., • 1+ years of experience in consulting., • 1+ years of experience in market research., • 1+ years of experience in statistical model building., • 2+ years of experience in business analysis. We embrace a hybrid approach to work. You’ll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work‑from‑home days. Our offices are designed to inspire and support you. At our Nottingham head office, you’ll find an on‑site gym, restaurant and dedicated Learning Loft. Cross‑Site Travel: Approximately twice monthly to foster collaboration across both office locations. • £5,000 in funding for external qualifications., • Competitive pension and performance‑based bonus schemes., • 25 days of annual leave, increasing with tenure., • Option to buy 5 additional days., • Access premium care through our private medical insurance., • Enhanced parental leave., • We champion your milestones with enhanced parental leave., • A full list of our benefits is available here. We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate‑led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. If you require a reasonable adjustment, please contact . All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to . Capital One is committed to diversity in the workplace. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. #J-18808-Ljbffr

The EMEA ISV Customer Solutions Managers team drives modernization acceleration and cloud-native transformation for AWS's most strategic ISV customers across EMEA. We operate at the intersection of technology depth and business impact, delivering outcomes that reshape how software companies build, monetize, and scale. The Sr. CSM must demonstrate differentiated, hands-on Agentic AI and GenAI expertise: 1/ Proven experience architecting and building agentic AI systems - including multi-agent orchestration, RAG pipelines, and prompt engineering - not theoretical familiarity but demonstrated delivery of working prototypes and customer-facing demos. 2/ Proficiency using AI-powered coding assistants to accelerate solution development, write production-grade code, and build technical artifacts that earn customer trust. 3/ Software Product Management mindset with direct experience delivering or consulting on SaaS products - understanding multi-tenant architecture, outcome-based pricing models, and product lifecycle to credibly co-design customer roadmaps from ideation through production-scale monetization. B.Sc. in Computer Science or Information Systems required; MBA strongly preferred. As an Amazon Web Services (AWS) Customer Solutions Manager (CSM), you will be responsible for helping guide the largest and most complex AWS customers along their multi-year journey to the cloud. In this highly visible position, you will ensure that all AWS teams are working together effectively and efficiently to deliver outcomes for the customer. In this role, you will be a critical partner to our AWS customers, leveraging your delivery experience with large-scale transformations to help guide them through their stages of AWS adoption. You will assist customers in navigating the operational, educational, and governance aspects of a successful AWS cloud journey. You will interface with AWS customers and AWS leadership, driving collaboration among the core account groups (Sales, Support, Solutions Architecture, and Professional Services), product and engineering teams, and customer teams, while planning and supporting major workload migrations. You will translate strategic initiatives in the account plan into executable actions, working backwards from our customers’ key milestones. The execution of education plans, roadmap to business outcome alignments, Executive Briefing Sessions, and go‑live events are a few items owned by the CSM that are critical to the success of our customers’ cloud journey. At AWS, you are encouraged to think big, invent, and take ownership of customer challenges. You will not only bring the best of Amazon to our customers, you will proactively help solve the customers’ challenges through new ideas, tools, and mechanisms. Successful candidates will have a strong background in delivery and change management, be detail-oriented, possess excellent problem‑solving abilities, and be exemplary communicators at both the executive and project team levels. You will be a peer leader, can gain stakeholder buy‑in, negotiate, and lead teams. Your enterprise experience and operational excellence will inform the team’s decisions, provide valuable insights, and help drive secure and robust solutions. You will evangelize AWS services and influence customers to adopt them. You should be passionate about delivering a great customer experience by deploying AWS solutions and inspiring innovation. You will be obsessed with contributing to the day‑to‑day management of your customers’ successful adoption of AWS. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better‑rounded professional. We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. • Bachelor's degree in science, technology, engineering, math, business or equivalent, • Experience leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion, • Experience in customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies, • Experience in enterprise scale infrastructure or development-based cloud programs/projects in a related industry, • Experience leading complex, large-scale AI /GenAI/Agentic business transformation, • Experience in a senior customer-facing role, • Excellent written and verbal communication skills, including a demonstrated ability to effectively deliver information to the C‑suite/VP level, • Strong organizational and troubleshooting skills with attention to detail, • PMP certification, or SCRUM/Agile, SAFe certification, • Experience implementing cloud services including migrations and modernization projects or similar, • Direct experience implementing AWS/cloud services, • Robust understanding of key technology and market trends, • Deep knowledge of software development/engineering life-cycle from conception to delivery, • PMP and/or SCRUM/Agile, SAFe certified Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. AWS EMEA SARL (UK Branch) Job ID: A10431817 #J-18808-Ljbffr

• Location: On-site (Remote work is not supported; desk presence is mandatory), • Experience Level: 3 to 10 years of professional software engineering experience (Ideal target: ~6 years), • Education Pedigree: Top-tier academic background (Top-20 university institution preferred) We are seeking a high-caliber Desk Software Engineer to partner directly with senior commodity traders on an active, fast-paced trading desk. This position prioritizes algorithmic thinking, practical problem-solving, and robust system design over pure quantitative modeling. You will be dealing with real-world physical commodity markets—such as shipping routes, maritime chokepoints, natural gas networks, and refinery operations that have equities, futures, and derivatives attached. Your mission is to ingest the chaotic telemetry of the physical world, surface causal relationships, and build production-grade analytical tools that directly drive real-time PnL. • Speed-to-Insight Data Pipelines: Build custom web scrapers, automated ingestion pipelines, and robust APIs to capture noisy, malformed data the instant it drops. Clean, weight, and blend this data to uncover causal relationships before the broader market recognizes a shift in the status quo., • Chain-Effect Prediction: Design and implement predictive models that map out downstream impacts across correlated assets, equities, derivatives, and complex supply chain networks., • Scale the Trader's Edge: Traders spot market anomalies and rapidly prototype ideas in Python (often laden with edge cases and bugs). You will take these prototypes apart, work through the core logic directly with the trader, and hand-craft clean, optimized, production-grade systems from scratch—owning them end-to-end without relying on AI code generation shortcuts., • High-Performance Engineering: Write efficient, production-grade Python code that handles massive datasets. Optimize memory management, bypass GIL bottlenecks, vectorize calculations, and leverage asyncio and FastAPI for low-friction execution., • Languages & Data Processing: Python (Pandas, Polars, NumPy, Dask), • Interfaces: React To thrive on this desk, you must be prepared to tackle the specific operational friction that kills generic software projects: • The "Garbage-In, Reality-Out" Problem: Incoming data feeds from websites, ship trackers, and sensor networks are notoriously malformed, delayed, or missing. You will build resilient parsing architectures that turn messy, real-world chaos into pristine analytical streams., • Bridging the Prototype-to-Production Gap: Traders move fast and break things to catch a fleeting market anomaly. You will frequently inherit spaghetti code full of edge cases and translate it into robust, scalable, low‑latency production systems without losing the underlying trading logic., • Combating Scale Bottlenecks & GIL Lag: As datasets balloon across multiple commodity verticals, naive Python code grinds to a halt. You will constantly diagnose memory limits, optimize data structures, and vectorize calculations to keep processing speeds ahead of the market., • Balancing Technical Debt vs. Speed-to-Alpha: In a fast‑twitch trading environment, building the right thing next week is useless if the market moves today. You will use sharp commercial acumen to ruthlessly prioritize features, weighing engineering hours directly against tangible PnL impact., • Experience & Stability (3–10 Years, Ideal: 6): You have proven industry experience and a stable track record. We are looking for builders who have stayed put long enough to see successful systems through to production—no serial job-hoppers., • Big Tech Pedigree: You do not need a background in finance or commodities, but you must bring serious engineering chops from a top‑tier tech environment where you built something substantial., • Academic Excellence & Competitive Drive: We heavily index for top-20 university degrees and top academic performance. We love multidisciplinary backgrounds (e.g., double/triple majors in Computer Science, Math, and Economics), CS graduates who competed in math competitions, and individuals who earned prizes for academic excellence. This signals a fierce, competitive mindset in intellectually demanding areas, without veering into ivory-tower academia., • An Engineer’s Engineer: You possess a deep command of data structures and algorithms. You can effortlessly debate Big O complexity, dive into the weeds on time‑series lags and lead‑lag market dynamics, and crush all mid‑level and a majority of hard‑level LeetCode problems. Efficiency is your edge., • Maturity & Grit: You bring a balance of raw, high-intensity drive and seasoned professional maturity. Ego and fragility have no place here., • Commercial Acumen: You can run a back‑of‑the‑envelope ROI calculation to determine if a project is worth pursuing. You weigh development hours directly against PnL generation to ensure engineering resources are optimized., • Hungry & Fast‑Twitch: You are genuinely curious about how physical markets work under the hood and thrive in a high‑octane, collaborative, in‑office environment. #J-18808-Ljbffr

ILM Trainer Coach to start in October South Wales, M4 Corridor Full Time Permanent with travel to the learners however the majority of the role is remote working £28k - £34k plus great benefits including 1pm finish on Fridays and 30 days holiday (inc Christmas shut down and birthday off) plus bank holidays and much more Our award winning training provider are on a mission to grow the business sector, they are looking to strengthen their delivery team with the appointment of a new team member based within South Wales. This is a fantastic opportunity for someone with a passion for the supporting Management learners who would like to work within an Ofsted Good Government Funded Work-Based Training Provider. The chosen candidate will be a high performing, qualified, experienced, and enthusiastic individual who enjoys working as part of a team and has a thirst for delivering high quality and service to all concerned parties. Experience in the delivery of Management Apprenticeship Standards and the differences in the sector post 2017 reforms is highly desirable. You will manage and be responsible for a caseload of learners based in the South Wales (Along M4 Corridor) This will include supporting the entire learner journey, including: Enrolment / induction and initial assessment Business teaching, learning and assessment Coaching / mentoring Delivery of Functional Skills English and math Supporting the wider curriculum (PREVENT, British Values, Safeguarding, ICT, Information, Advice and Guidance, etc.) Correct completion of mandatory paperwork to evidence all aspects of the learner journey to an auditable standard Essential industry specific experience: Minimum five years recent and extensive experience working in the business sector, Up-to-date, relevant, deep, and broad experience of working within a management position, Passion for work-based learning Experience in the occupational area of the apprenticeships including practical and current knowledge of working practices, infrastructure, tools and technologies to support applications Occupational competence with a comprehensive and proven track record of service within management roles supported by a detailed and documented CPD record Extensive knowledge and experience of various aspects of business activities e.g., finance, project management, team leading, customer service etc. Essential Qualifications Level 5 qualification in management, or equivalent and an Assessor qualification Level 2 Functional Skills in English and math or ability to undertake them successfully within probation period Experience of working with and maintaining quality assurance processes and complying with regulatory requirements Commitment to continuous professional development relevant to the industry area being assessed We are looking for you to have working knowledge of various aspects of business activities e.g., finance, project management, team leading, customer service etc. Competency to deliver up to a L5 Operations Manager apprenticeship Standard Benefits Early finish Fridays 1pm, 30 days annual leave including contractual 28 days inc.Christmas shutdown and day off for Birthday Employer pension contribution Laptop/mobile phone Monthly 1 to 1 meeting with your line manager Annual appraisal with your line manager Annual Christmas Dinner Complimentary tea and coffee Working in partnership with Credit Union Monthly & Annual Awards Disability Confident Provider Wellbeing Benefits Employee Assistance Programme offering counselling support and advice from day 1 of employment Healthy Workstation Allowance up to £150 Annual wellbeing meeting with your line managers manager Employee Mental Health & Wellbeing Group Employee Mental Health Champions Flexible/home working encouraged Wellbeing room and staff room on site Signed up to the Time to Change Employer Pledge Excellent wellbeing support, wellness action plans, employee assistance programmes and actively promote and engage with MIND Cymru Additional Benefits after 1 years service Westfield Healthcare cash plan (dental, optical, counselling, therapy treatments, Westfield Rewards) worth £700 Group Sick Pay Scheme Additional Benefits after 2 years service Additional holiday accrued after 2 years service starting from 1 day per year up to a maximum of 5 days To apply for the role of ILM Trainer Coach, South Wales please email your cv to Tina Lacey Recruitment is a specialist recruitment agency dedicated to the skills, training and welfare to work sectors nationally. We are committed to giving full free pre-interview advice and guidance right throughout the interview process. TPBN1_UKTJ

We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fueling local economies, and changing how millions access financial services. Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features. We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation. Here’s a little more: Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission Truly global team - 250+ people, 50+ nationalities, 50+ languages Guided by our values - ownership, impact, humility, and heart - in deed, not just word The Role India is the biggest remittance market with over $130 billion a year flowing home to it, from everywhere: engineers in the Bay Area and Sydney, cabbies in Toronto, construction crews in Dubai, shopkeepers in Leicester, students in Berlin. From Punjabis, Gujaratis, Tamils, Malayalis and Telugus. From people wiring $3,000 a month to a Mumbai mortgage and people sending $80 to a village in Bihar. Your job is to win this market. You are someone who gets excited by the nuances of the Indian diaspora and how to reach each group, and who wants to own the P&L, the regulatory landscape and pricing at the same time. If you find the price sensitivity of each cohort exciting, and "why do Malayali nurses cluster in specific hospital systems, and what does that mean for acquisition?" as interesting as "what's RBI's latest remittance policy and which banks make the best partners," this is it. As the GM, you own the P&L, and set pricing. For customer growth, you decide which communities to acquire and in what order. Know the RBI's rules well enough to see the openings inside them, not just the limits. A Gujarati family in New Jersey and a Punjabi trucker in Brampton got abroad through completely different networks, and reaching them takes completely different channels. Reports to the Head of South Asia. Builds a team of FX Advisors in India and growth managers in sending markets. The face of India inside and outside the company. Total ownership. Be your own CEO The P&L. Volume, gross profit and CAC across every India corridor. Not influence, own. A miss is your miss. A beat is your win. Strategy and sequencing. Which sender markets, which communities, which channels, in what order. US, Canada, UK, Europe, Australia and UAE to start. Build the plan, defend it to leadership, execute it. Pricing. India is the most rate-sensitive, most competitive remittance market in the world, up against competitors who reprice daily. Set FX and fee strategy corridor by corridor. The regulatory and partner landscape. RBI rules, bank partnerships, payout rails. Know the terrain cold and own the local relationships. Product. Obsess over UX and the services NRIs actually need. Closer to the customer than anyone in the company, and what you hear feeds straight into product, pricing and customer support. The diaspora puzzle. Community partnerships, temples and gurdwaras and churches, cricket leagues, student associations, remittance-heavy employers, influencers, festivals (Diwali is a season, not a day). Get in front of each community authentically, and cheaply. The team. Hire, coach and retain people in India and in sending markets. Small, dense, fast. 10 to 15 years in high-growth environments: startups, operations, consulting, finance, fintech. Has owned a number and talks about it the way owners do. Diaspora-fluent. Real knowledge of and networks in the Indian diaspora, and real curiosity about it. Migration patterns, community structures, who sends money to whom and why. Commercially sharp. Holds pricing, unit economics and CAC math in their head, and works the data directly. Excel or Sheets required, SQL a real plus. A hustler with judgment. Closes a bank partnership Monday, reviews corridor margins Tuesday, shows up at a community event in Jackson Heights on Saturday. Likes all three. A regulatory realist. Understands (or can quickly master) RBI rules and the compliance realities of moving money into India. Treats compliance as a partner, not an obstacle. Multilingual, ideally. Fluent in English. Hindi, Gujarati, Punjabi, Tamil, Telugu or Malayalam are genuine assets. Location: London or Dubai. Regular travel to India and sending markets is part of the job. India is the largest remittance market in the world, and winning it moves the whole company forward. This role owns that outcome, with the authority and the accountability that come with it. It also drives real value for the customers: Immigrants work hard for this money, and every basis point saved goes home. Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply. #J-18808-Ljbffr

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals. As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You do not just solve the most difficult problems; you identify which problems are worth solving to move the needle for our customers. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team. In this role, you will bridge the gap between business strategy and production-ready machine learning. Whether you are building frameworks for growth, optimizing our supply chain, or refining marketing attribution, you will ensure our data products are technically sound, scalable, and built to deliver measurable business results. Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization. 8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing. We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement. #J-18808-Ljbffr

Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange – a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices – a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights – a digital asset media and events provider and operator of Coindesk.com, a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports To Director - Product Management, Exchange Product Please note the working location of this role is in Hong Kong, visa sponsorship will be provided for the identified candidate. We are looking for a highly analytical Product Manager with a strong quantitative background to join our Product Management team in Hong Kong. This is a unique "Technical Product" role designed for a former Quant, Front Office Developer, or Financial Engineer who is ready to step away from full-time coding to take a lead role in the business and product side of trading. As the Product Manager for Trading, you will bridge the gap between complex mathematical models and scalable production code. You will be responsible for ensuring our pricing, risk models and core trading engine logic are robust, and working cross-functionally to launch features that define the future of TradFi, CeFI and DeFi integration. You are someone who can speak the language of developers and quants fluently but prefers to spend your day solving business problems, writing specs, and collaborating with stakeholders. • Product Roadmap: Support the definition and management of the Trading product roadmap, specifically focusing on execution logic, pricing engines, and risk parameters., • Prototyping & Analysis: Build and run complex market simulations; use Python and SQL to create prototypes and analyze results to validate product hypotheses., • Technical Documentation: Write clear, detailed functional specifications and use-cases that define how trading features should behave., • Stakeholder Management: Gather requirements from internal teams (Risk, Compliance, Marketing) and external partners, ensuring the product vision is understood and bought into across the firm., • Testing & Validation: Oversee the testing of new features, ensuring the "math" works in practice as intended in the specs., • Product Enablement: Create technical demos and content to support Marketing and Sales in showcasing the sophistication of the trading platform., • Model Translation: Build mathematical models for new product features and refine existing ones; act as the primary translator for developers to turn these models into high-performance code., • Education: Bachelor’s or Master’s degree in Financial Mathematics, Computer Science or a similar quantitative field., • Quant/Dev Background: Proven experience as a Front Office Quant, Structurer, or Developer within a trading environment (Derivatives experience preferred)., • The "Product" Mindset: A strong desire to move away from full-stack engineering/heavy coding and into a role focused on product strategy, user experience, and business growth., • Technical Proficiency: Advanced skills in Python (for prototyping) and SQL; a deep understanding of data structures, algorithms, and basic statistical methods., • Finance Knowledge: Solid understanding of option pricing models, market microstructure, and derivative trading., • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders (Legal, Marketing, etc.) and a "can-do" attitude toward documentation, • Crypto/DeFi Savvy: Prior experience with automated market makers (AMMs), liquidity pools, or centralized crypto exchanges (CeFi)., • TradFi Experience: Experience building or maintaining traditional high-frequency trading systems or matching engines., • Tooling: Familiarity with Jira, Confluence, GitHub, and Agile methodologies., • Vision: A genuine passion for how blockchain technology is transforming traditional financial services. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day. #J-18808-Ljbffr

Nominal is building the connected test and operations platform powering the world's most advanced hardware systems, from spacecraft and autonomous vehicles to next-generation defense programs. Our platform gives hardware engineering teams a single place to ingest data, analyze performance, automate test execution, and collaborate across every phase of development, so they can move faster without sacrificing safety or precision. We're a fast-moving team that owns problems end-to-end, works across disciplines, and thrives at the intersection of hardware and software. We serve top-tier commercial and defense customers, from autonomy leaders like Anduril and Shield AI to next-generation aerospace teams like Hermeus and REGENT, and performance engineering teams like Pratt Miller Motorsports, alongside mission partners within the U.S. Navy and U.S. Air Force on programs where failure isn’t an option. We’re backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, and other leading companies, united by a common mission: giving hardware engineers the tools to build the future with speed, safety, and confidence. As a Mission Operations Engineer, you'll bridge Nominal's software with real-world applications, becoming an indispensable advisor to our customers. You'll ensure our solutions not only meet but exceed operational requirements, tailoring deployments to unique environments, providing comprehensive training, and directly addressing any challenges that arise. Your work will transform customer operations, enhance user experiences, and drive Nominal's technology to new frontiers. • Deploy & Integrate: Take Nominal's tech to operation on the ground, tailoring solutions to fit our clients' high‑stakes environments perfectly., • Build Relationships & Business: You’re not just deploying technology; you’re growing Nominal's presence and impact and establishing deep, productive partnerships. You’re acting as an account manager and product expert, and important relational and technical capital is on your shoulders., • Train & Support: You’re on the front lines, making sure our users understand our products and can use them to their full potential., • Enhance & Evolve: Your feedback loops are gold, turning user experiences into actionable insights for continuous product improvement., • Solve & Streamline: See an issue? You’re on it, with the autonomy to fix problems fast and keep our technology ahead of the curve., • Be the Bridge: You’re the vital link between Nominal and our customers, translating needs into solutions and ensuring seamless collaboration across all fronts., • Proven Engineering Expertise: 4+ years of professional experience and have worked in the trenches of hardware engineering and / or data engineering. You have firsthand experience in environments like propulsion test stands, satellite mission operations, and flight testing, or you’ll have spent time constructing a data model users can empathize with and helping them turn that data into decisions. Your resume says, "I've built and tested the future.", • Technical Sharpshooter: Your intellectual curiosity drives you to solve complex problems. You think in systems and see the big picture, yet you’re all about nailing the details. You have a strong intuition for the math and physics our customers encounter daily., • Communicator & Influencer: You articulate complex ideas with ease and confidence, steering conversations and projects with clarity and honesty., • Dynamic Leader & Team Player: With a mix of humility, eagerness to learn, and empathy, you’re a natural at leading and lifting those around you. You don't just spot problems; you solve them., • Project Maestro: You have a solid track record of turning technical concepts into reality and managing the full cycle from planning to deployment., • Ready to Roll: Up to 50% travel? No problem. You’re ready to be where the action is, anywhere, anytime., • [Bonus] Security clearance: Active or eligible to obtain UK SC / DV clearance (or equivalent)., • Customer‑facing skills: Experienced operator, customer success leader, and/or technical program manager., • Data Engineering Proficiency: Expertise in SQL, Python, Pandas, Matlab, or R. Bonus if familiarity with Influx, Grafana, Spark, Polars, Arrow, Kafka, Beam, and Flink., • [Bonus] In‑Field Hardware Mastery: Proficiency with hardware engineering tools such as DAQs, DDS, Nix, RTOS, MCAP, H5, TDMS, LabVIEW, Simulink, and WinPlot. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. #J-18808-Ljbffr

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works. For information on the company’s outstanding benefits, culture, and its talent‑first flexible/remote work approach, see below and visit www.hims.com/careers-professionals. As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You do not just solve the most difficult problems; you identify which problems are worth solving to move the needle for our customers. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team. In this role, you will bridge the gap between business strategy and production-ready machine learning. Whether you are building frameworks for growth, optimizing our supply chain, or refining marketing attribution, you will ensure our data products are technically sound, scalable, and built to deliver measurable business results. Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization. 8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement. #J-18808-Ljbffr