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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

Job ID: 28334Location: LondonSalary: GBP 150,000 per yearPosted: 2024-08-13ð Join a HFT Team as a C++ Developer! ðThis group delivers bespoke modeling solutions across multiple asset classes, providing industry-leading intraday and end-of-day price and risk analytics. These tools empower our fund to make well-informed investment decisions.Responsibilities:Develop and support existing microservices that comprise our distributed risk calculation system.Communicate effectively with technologists and research teams across EMEA, US, and APAC regions.Own the entire software lifecycle, from concept to user deployment.Requirements:Bachelor’s degree in Math, Computer Science, or a related STEM discipline (advanced degrees are a plus).2+ years of professional C++ experience, with a strong grasp of modern C++.Excellent written and verbal communication skills (English proficiency is essential).Strong problem-solving abilities, with a solid understanding of data structures and design patterns.Ability to thrive in a fast-paced, goal-oriented environment.Exceptional attention to detail and self-organization.Preferred Qualifications:Experience with modern development stacks, including source control systems, CI/CD, and containers.Proficiency with Linux/Unix platforms.Experience with Python, Java, Kubernetes, and Docker.Basic understanding of financial markets and concepts, with prior industry experience.Familiarity with statistics, stochastic processes, and discrete mathematics.

Who are we?Smarkets: Predicting the Future of BettingSmarkets runs one of the world’s most sophisticated prediction markets, handling over 29 billion in volume since 2010 and engaging 200,000+ traders globally. We’re a technology company that happens to revolutionise betting - from sports to political markets, to delivering the sharpest prices and the fairest odds.Our stack is designed for scale, reliability, and speed: Linux, Kafka, Postgres, Kubernetes, with Python 3, C++, Rust and React powering our platform. We build infrastructure that institutions trust while keeping trading accessible to everyone. Our edge? We’ve thrived through every market cycle, competitor, and industry revolution.At the heart of our success are our people. We create a high-performance environment where exceptional talent can thrive, blending deep business experience with a commercial mindset to drive strategic growth.If you’re ready to help shape the future of prediction markets with cutting-edge technology and a customer-first philosophy, Smarkets is where you belong.The TeamThe Data Team is responsible for taking the wealth of data that Smarkets generates and using it to drive insights which improve the business. Since Smarkets produces a huge amount of data - including sports event data, payments information, order flow and user analytics - there are many opportunities for the team to add real business value.The team’s responsibilities currently span across three different areas:Data Engineering: development and maintenance of ETL pipelines, services and APIs, and data-related infrastructure like Redshift or BigQuery;Data Science and Machine Learning: data exploration, ML models training and ML Ops to extract new insights from data;Analytics and Reporting: creation of data models and dashboards as well as automation of reporting pipelines for different teams, stakeholders and third-parties.In a typical week, a data engineer in the Data team would:Add a new python ETL pipeline that segments users interested in specific sports through analysing behaviour which streamlines and tailors marketing communications to those users;Develop a new endpoint to a Flask API, add unit tests, and deploy the new version of the API into our production Kubernetes cluster;Train and evaluate an ML model to identify certain user patterns and provide it as service to other engineering teams in a Flask API;Team Tech Stack Our current technology stack primarily includes Linux, Docker, Kubernetes, Jenkins, Kafka, Python, Flask/FastAPI, Postgres, AWS Redshift, dbt, Google Bigquery, Prometheus, Grafana, Elastic Search, Kibana, Lightdash.About the Role:You will work very closely with the Data team lead and the other team members who will be assisting you whenever needed, making your integration in the company as smooth as possible.The Data team works in an organised way using Agile methodologies and tools such as Jira and regular standups. You will find an environment where you have a clear engineering direction, can focus on your work and hone your skills as a data engineer through exciting projects. You will always be able to count on the support of many engineers across the company.What you will do:As a member of the data team, your responsibilities will include contributions to:Developing and maintaining our Data ETL pipelines, some of which are real-time. The pipelines are fundamental to helping teams and stakeholders understand and drive business direction. Data components can also be user facing e.g. sending notifications to users;Ensuring our data lake is kept in a healthy state, particularly our data warehouses: Redshift and Bigquery;Developing and maintaining Flask services and Postgres databases within the Data team to provide access to data or manage certain business entities relevant to Data.Assisting the different teams in the company with reporting, especially when it comes to automated reporting pipelines.Doing data exploration and training & deploying ML models used to perform different kinds of user segmentation, detect operational anomalies or estimate important business quantities. In particular maintain and improve our existing recommender service that provides users with suggestions on new sport competitions.Role Requirements:What we are looking for in you:3+ years of experienceYou have an understanding of developing ETL pipelines using Python frameworks such as luigi or airflow;You have experience with the development of Python-based REST APIs / services and their integration with databases (e.g. Postgres);You are familiar with the key tools of the Python data science stack, e.g. Pandas, Numpy and scikit-learn;Some experience with training and deploying ML models;You enjoy writing elegant, well-tested and maintainable code;You are a team player that enjoys contributing to the success of the team in a proactive and friendly environment;You have a bachelor’s in Computer Science, Math or equivalent field, or possess relevant experience.Our ValuesOur values are at the heart of everything we do - guiding how we work, collaborate, and innovate. They reflect what we expect of ourselves and each other to deliver the best results, while fostering a positive, high-performing environment:Push to Win: We set ambitious goals and relentlessly pursue them, always striving for excellence.Make Others Better: We lift each other up, share knowledge, and celebrate team success over individual achievement.Give a Shit: We care deeply about our work, our users, and the impact we make.Be a Pro: We take ownership, act with integrity, and consistently deliver to a high standard.Bring the Energy: We bring positivity, curiosity, and enthusiasm to everything we do, inspiring those around us.Culture Fit: These values define how we succeed as a team. If this isn’t you, this may not be the right place. We hire people who thrive in a fast-paced, collaborative, and ambitious environment.Perks & BenefitsWe offer a competitive salary and benefits package, alongside a dynamic, collaborative environment where your work truly makes an impact and your voice is heard. Our team is diverse, driven, and ambitious - united by a strong work ethic and a hunger to innovate and win.Our benefits are designed around Health, Wealth,and Development, supporting you both professionally and personally.These include:Stock Options: Vest over 4 years - your success is our success.Pension Scheme: Competitive plan via Aviva, with up to 6% matched contributions if you opt in.Health Insurance: Comprehensive coverage to keep you and your family healthy.Enhanced Parental Leave: Enhanced maternity and paternity leave to support you through life’s most important moments.Stay Fuelled: Enjoy fresh, chef-made breakfast and lunch every day, plus a constant supply of fruit, snacks, tea, coffee and soft drinks — because great work starts with great food.Cycle-to-Work Scheme: Support for sustainable commuting and staying active.Learning & Development: 1,000 annual education budget for courses, conferences, books, or training.Holiday: 25 days paid leave + bank holidays, with the option to carry over 5 days.Flexible Working: Hybrid model with 3 days in the office and 2 days from home to fit your lifestyle.Team Energy: Regular socials, hackathons, and events — because collaboration and fun go hand-in-hand.Diversity & InclusionWe’re an equal opportunities employer and celebrate diversity in all its forms. If you need any adjustments during the recruitment process, please let us know — we’re happy to accommodate your needs.LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentTech

Are you an experienced Year 2 Teacher or KS1 Primary Teacher ready for your next opportunity in a supportive and well-established school?. Are you a qualified Year 2 Primary Class Teacher with QTS who has a strong understanding of the Key Stage 1 curriculum, particularly in reading, writing and math

Quant Analyst– Trading 140,000 Quant Capital is urgently looking for a Quant Analyst to join our high profile client. Our client is a well-known leading provider of integrated risk, analytics and trading solutions for the global financial markets. Their clients include some of the largest global financial institutions and banks, leading hedge funds, pension funds, insurers, brokers, clearing members and corporates. You will be part a team building cutting-edge applications and services supporting cross-asset trading and risk management. Quant researchers actively write and publish papers and speak at industry events. The role comprises heavy research and development to keep pace with our diverse client base made up of the most sophisticated market participants. We offer exposure to every aspect of capital markets technology and research – are you ready to help shape the financial technology landscape? The role is based on new model creation. • Design, development, and testing of new derivative pricing models and risk management solutions • Model Development • Library creating • Implementation development, which includes data interfaces, workflows and bespoke reports Implementation Consultants must have: • PHD in Finance, Math, or other Science, Quantitative or Engineering field • Strong programming skills in C++ or similar object-oriented language essential • Strong numerical skills • Strong software analysis, design and development skills • Knowledge of relational databases and SQL • Experience in or serious interest in finance and capital markets. We are looking for Quants who want to take ownership of products and take considerable responsibility and the bonus that goes with that. My client is based in Central London Flex Working C#, C++ SQL, Support, Implementation

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.About the Role:CrowdStrike is looking for highly motivated, self-driven, technical senior analysts dedicated to making a difference in global security by protecting organizations against the most advanced attackers in the world. Our CrowdStrike virtual security operations center offers opportunities to expand your skill set through a wide variety of experiences, detecting and responding to incidents as they occur in real-time to protect our customers.Do you find yourself interested in putting your hands-on technical skills to the test in detecting, containing, and remediating incidents?Do you want to respond to incidents of all severities and fight back against adversaries big and small?Are you self-motivated and looking for an opportunity to rapidly accelerate your skills?Do you crave new and innovative work that actually matters to your customer?Do you have an Incident Response or Information Security background that you’re not fully utilizing?Are you capable of contributing to a diverse team and interacting well with customers?Do you love working around like-minded people in a world class team who you can both learn from and mentor on a daily basis?What You'll Do:Conduct monitoring and perform in-depth analysis of security alerts using the CrowdStrike platform.Exercise incident handling processes across Windows, Mac, and Linux platforms.Perform malware analysis.Perform remote remediation of malware or malicious activity.Develop and improve processes for incident detection, triage, and the execution of countermeasuresProduce high-quality written and verbal communications, recommendations, and findings to customer management.Demonstrate industry thought leadership through blog posts, CrowdCasts, and other public speaking events.Assist in the advancement of security processes and procedures.What You'll Need:Successful candidates will have experience in one or more of the following areas:Incident Handling: experience conducting or managing incident response for organizations, investigating targeted threats such as the Advanced Persistent Threat, Organized Crime, and Hactivists.Computer Forensic Analysis: a background using a variety of forensic analysis tools in incident response investigations to determine the extent and scope of compromise.Systems Administration: an understanding of system internals is required to understand how to implement and execute countermeasures and remediation.Malware Analysis: ability to perform static and dynamic malware analysis to understand the nature of malware.Incident Remediation: strong understanding of targeted attacks and able to create customized tactical and strategic remediation plans for compromised organizations.Programming/Scripting: experience coding in Powershell, C, C#, VB, Python, Perl, Ruby on Rails, and.NET.At least one relevant security certificationStrong verbal and communication skillsStrong problem-solving skillsStrong experience with Mac OS, Windows, and Unix operating systems.Ability to handle high pressure situations in a productive and professional manner.Strong time management skills with the ability to multitaskBA or BS / MA or MS degree in Computer Science, Computer Engineering, Math, Information Security, Information Assurance, Information Security Management, Intelligence Studies, Cybersecurity, Cybersecurity Policy, or suitable relevant work experience.Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. #LI-BM1#LI-RemoteBenefits of Working at CrowdStrike: Market leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental and adoption leavesProfessional development opportunities for all employees regardless of level or roleEmployee Networks, geographic neighborhood groups, and volunteer opportunities to build connectionsVibrant office culture with world class amenitiesGreat Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.SummaryLocation: United Kingdom - RemoteType: Full time

Job ID: 10579880 | AWS EMEA SARL (UK Branch) In this role you'll structure ProServe engagements through scoping, defining and developing migration plans with associated pricing to align with end state architectures and drive pricing demand plans. You will be responsible for constructing AWS Professional Services contracts (ProServe Orders (PSOs)), determining commercial risk and owning key assumptions and dependencies. This highly visible role will own engagement with customer C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and to enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. The ProServe Deal Structurer will be expected to collaborate with AWS Strategic Customer Engagement (SCE) teams, ProServe Account Executors, Delivery Consultants and Account Teams to drive customer success and business growth. This is a fast-paced environment, requiring adaptability and the ability to manage multiple complex engagements in parallel, often with tight timelines. Your experience in selling services within the technology/consulting sector, will equip you with the ability to translate technical concepts into business value for customers. You will demonstrate proficiency in technical architecture, solutioning and migration programs. Your success will be measured by bookings, revenue, deal margin and cycle time. • Lead technical discovery and portfolio assessments, including application and infrastructure analysis, dependency mapping, disposition, and wave planning, to produce a defensible labor-based estimate., • Scope engagements and define the migration plan, level of effort, staffing model (AWS and partner mix), and pricing., • Align scope and pricing with deal strategy and Private Pricing commitments, working with Deal Leads, AGS, and SCE., • Build proposals and PSOs, including scope, assumptions, dependencies, and billing milestones., • Co-own the sales-to-delivery handover so the engagement is delivered as sold., • Advocate for the customer while managing AWS commercial and delivery risk. As a Principal ProServe Deal Structurer, your day will involve shaping the strategic direction for AWS's most significant and complex enterprise customers across EMEA. You'll collaborate with high-level internal stakeholders, including Sales, Solutions Architecture, and ProServe leadership, to drive innovation and cloud adoption strategies that align with your customers' long-term business goals. A significant portion of your time will be spent leading strategic engagements with C-level executives and ProServe teams, using your deep expertise to influence enterprise-wide cloud transformations. You will lead the development of advanced tools and solutions that not only accelerate the pre-sales cycle but also set new standards for how AWS services are delivered across large-scale enterprises. Furthermore, you will play a critical role in expanding the organizational capability of AWS strategic programs by defining best practices, setting strategic priorities, and mentoring senior technologists. Principal ProServe Deal Structurers at AWS are the strategic masterminds behind cloud transformations, setting new standards across industries. With unmatched technical expertise and leadership, they drive large-scale initiatives that deliver extraordinary business value for our most critical enterprise customers. As architects of the future, they lead complex customer engagements, crafting innovative solutions that push the boundaries of what's possible. They also play a crucial role in defining AWS's strategic direction, ensuring we remain at the forefront of cloud technology. • Bachelor's degree in Computer Science, Math, or a related field, • Experience managing and delivering large-scale enterprise IT projects, • Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.), • Experience with software development life cycle (sdlc) and agile/iterative methodologies, • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies, • Experience implementing AWS services in a variety of distributed computing environments, • Experience managing executive customer relationships and key business stakeholders, • Experience with enterprise architecture frameworks (like TOGAF, Zachman) and identifying the relationships between business services, information, applications and global infrastructure assets, • Experience with enterprise systems including SAP, Oracle, and custom applications 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 your 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

About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here. Responsibilities: • Primary owner of P&L in one or multiple areas of energy business, • Build and maintain fundamental and quantitative trading models, • Work with risk to ensure compliance with agreed upon risk management metrics and sizing, • Liase side by side with senior energy traders to share best practices / learnings where applicable, • Learn proprietary methodologies and trading systems that support an established trading business, • Grow existing trades and P&L while identifying and pursue new opportunities, • Further responsibilities may be driven by the individual’s interests and specific skills Requirements: • Energy trading experience required, • Self-starter with entrepreneurial spirit, • Able to learn quickly in a fast paced, high pressure environment, • Targeted ISO experience and knowledge of fundamental grid, • Detail oriented, organized, diligent, • Maintain composure and communicate clearly when under pressure, • Ability to succeed working as part of a diversified team, • Strong understanding of math, probability, and statistics, • High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus, • Advanced aptitude for problem solving and multitasking, • Proven track record with historical P&L preferred DV is not accepting unsolicitedresumesfrom search firms. Only search firms with valid, written agreements with DV should submitresumesin response to DV’s posted positions. Allresumessubmitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees. #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

This opportunity was posted more than 30 days ago and no application deadline was provided. You can explore active listings below. H Organising Institution / Firm HappyRobot Not Specified by Organiser London, England, United Kingdom Not Specified 6+ years of relevant legal experience combining reputable law firm and in-house at a startup or high-growth technology company. Strong experience drafting, reviewing, and negotiating SaaS agreements, MSAs, enterprise agreements, NDAs, DPAs, Order Forms and other commercial contracts. Solid understanding of EU data privacy laws (GDPR) and state-specific privacy requirements. Experience handling intellectual property matters including trademarks, patents, copyright, licensing, and IP ownership. Excellent drafting, negotiation, and communication skills with pragmatic, solution-oriented approach. Strong commercial judgment balancing legal risk with business priorities. Ability to manage multiple priorities and high contract volume in fast-paced environment. Proven cross-functional collaboration and stakeholder relationship building. Job The legal hiring landscape is shifting dramatically. Gone are the days when the only prestigious path for a top-tier lawyer led through the revolving doors of a Magic Circle firm into a static corporate counsel role. Today, the most coveted seats are at the intersection of deep technology, venture-scale ambition, and zero-to-one legal building. The Legal Counsel position at HappyRobot represents precisely this archetype: a rare opportunity to architect the legal infrastructure of an AI-native enterprise backed by Andreessen Horowitz, Y Combinator, and over $150M in capital. “We're not just hiring a lawyer to review contracts. We're hiring a legal architect to build the compliance and IP moat for an autonomous AI workforce platform.” For the Indian legal professional eyeing a global pivot, or the London-based counsel seeking escape velocity from high-volume/low-impact contract churn, this role demands a strategic re-evaluation of your career capital. This guide dissects the mandate, the hidden curriculum of the interview process, and the long-term equity thesis of joining a Series A+ rocket ship. HappyRobot operates in the "real economy" AI layer—logistics, supply chain, industrial operations—where software doesn't just chat; it decides and acts. This distinction is critical. The Legal Counsel here isn't managing standard SaaS renewals. The job description explicitly calls for intellectual property strategy (patents, trade secrets, open-source compliance) alongside heavyweight commercial negotiation (enterprise MSAs, reseller agreements, strategic partnerships). Most in-house roles force a choice: be the "IP lawyer" or the "commercial lawyer." HappyRobot demands fluency in both. Why? Because their core asset is proprietary AI orchestration infrastructure—voice stacks, models, decision engines. Protecting that IP (trade secrets, patent strategy, contractor assignment) while simultaneously negotiating complex, high-value enterprise deals with global logistics giants requires a lawyer who speaks fluent "product" and "revenue." • IP Strategy: You will own the trade secret registry, manage patent prosecution with external counsel, police open-source license compliance (critical for AI/ML stacks), and ensure every engineer/contractor assignment is airtight., • Commercial Engine: You are the gatekeeper of revenue recognition. Negotiating MSAs with Fortune 500 logistics firms means navigating liability caps, indemnification for AI hallucinations/errors, data processing addendums (DPAs) across GDPR/UK GDPR, and bespoke SLA structures for autonomous decision-making., • Privacy by Design: With GDPR as a baseline and "other applicable state privacy frameworks" mentioned, you'll operationalize privacy into the product lifecycle—DPIAs for new model deployments, data mapping for voice data, cross-border transfer mechanisms. The requirement for "6+ years combining law firm and in-house at a startup/high-growth technology company" is a filter for translation ability. Can you translate "indemnification for consequential damages" into "this clause kills the deal velocity for our Q4 enterprise pipeline"? Your CV and cover letter must scream this bilingualism. If you're currently at a top firm (think Kirkland, Latham, or elite UK/US shops), highlight: • Secondments or client-facing embedded roles., • Specific SaaS/tech transaction experience (not just M&A)., • Any pro bono or internal innovation projects (legal tech, playbook building). If you're already in-house at a scale-up (Series B+), emphasize: • Volume metrics: "Negotiated 50+ enterprise MSAs/quarter.", • Strategic wins: "Led IP audit for Series C raise; identified and remediated 3 critical trade secret gaps.", • Cross-functional leadership: "Partnered with VP Engineering to launch open-source policy reducing legal review time by 40%." “The 'Nice to Haves' are actually the 'How You Win' signals: fundraising support, legal automation, AI/ML domain familiarity. Treat them as your differentiation matrix.” Interview preparation for this caliber of role moves beyond "walk me through a deal." You must demonstrate systems thinking. Expect a practical test: "Here's a redlined MSA from a strategic partner. Walk us through your negotiation strategy, fallback positions, and how you'd socialize this with Sales and Engineering." Prepare a mental framework: • Risk Triage: Categorize redlines (Deal-breaker / Negotiable / Acceptable with mitigation)., • Stakeholder Map: Who owns the business relationship? Who owns the technical implementation? Who signs?, • Playbook Update: How does this negotiation evolve your standard terms? This tests your ability to balance community building, competitive moat, and compliance. Your answer must cover: • License selection (Apache 2.0 vs. BSL vs. custom)., • Contributor License Agreement (CLA) / Developer Certificate of Origin (DCO) strategy., • Trade secret carve-outs., • Competitive intelligence implications. Be ready to discuss a DPIA (Data Protection Impact Assessment) for a new voice AI feature processing biometric data. Reference UK GDPR Article 35, ICO guidance on AI, and practical engineering controls (pseudonymization, retention schedules, access logs). “Competitive salary + equity” is the standard line. For a company with $150M+ raised (likely Series B/C), the equity grant for a founding legal hire (or early legal team member) typically ranges 0.1% - 0.3% fully diluted, subject to a 4-year vesting with 1-year cliff. Do the math: • Base Salary: London market for 6+ PQE in-house tech: £120k–£160k., • Equity Value at Exit: At a $1B exit (conservative for a16z/YC portfolio), 0.15% = £1.1M pre-tax (ignoring dilution/preferences). At $5B = £5.5M., • Liquidity Timeline: Secondary tender offers often emerge at Series C/D. Understand the company's secondary policy. Negotiation Leverage: Your unique IP/commercial hybrid skillset justifies asking for the top of the equity band. Frame it: "Given the dual mandate of building the IP portfolio from scratch while closing enterprise deals, my impact on valuation inflection points is disproportionate. I'd like to discuss the top quartile of the equity pool for this level." With "Over 200 applicants" on LinkedIn, cold applying is a lottery ticket. The winning strategy is warm introduction via the investor or operator network. • Map the Cap Table: a16z (General Partners: Martin Casado, Peter Levine), Base10, Prysm, Eurazeo, Y Combinator. Find lawyers/operators in their portfolio who know you., • Target the Hiring Manager: Likely the VP of Operations, General Counsel (if exists), or CEO. Search LinkedIn for "HappyRobot" + "Legal" or "Operations"., • Content Engagement: Comment thoughtfully on HappyRobot's blog/manifesto posts about AI infrastructure. Demonstrate domain fluency before the first call., • Alumni Signals: Filter HappyRobot employees by your law school, previous firm, or university. A 15-min coffee chat yields a referral link that bypasses the ATS. “In high-growth startups, the first legal hire often reports to the CEO or COO, not a GC. Your interview is a peer conversation about business risk, not a subordinate skills test.” This role is not a "job." It is a founding legal team mandate at a company defining the autonomous enterprise category. The learning curve is vertical: you will touch fundraising, IP portfolio construction, global privacy compliance, and high-stakes commercial negotiation—all within your first 18 months. For the lawyer who wants to stop "supporting the business" and start being the business, HappyRobot's Legal Counsel seat is the table you want to sit at. Prepare your narrative. Quantify your impact. Network deliberately. And when you get the call, negotiate the equity like a founder. A: The job posting does not explicitly state visa sponsorship policy. However, as a well-funded Y Combinator (S23) and a16z-backed company with a global talent thesis, they likely hold a UK Skilled Worker Sponsor Licence. Candidates requiring sponsorship should address this proactively in the cover letter, highlighting the "shortage occupation" relevance of AI/legal hybrid skills. Always confirm directly with the talent team during initial screening. A: The posting doesn't specify. In early-stage legal teams (often the 1st or 2nd legal hire), reporting lines typically go to the CEO, COO, or VP of Operations rather than a General Counsel. This implies high autonomy and direct strategic access. Clarify this in the first interview—it defines your scope and career trajectory. A: It's a strong differentiator but not a blocker. HappyRobot's core is AI orchestration infrastructure. If you lack direct AI product counsel experience, compensate by demonstrating: (1) Rapid technical learning ability (cite examples of mastering complex tech stacks), (2) Familiarity with AI-specific legal risks (IP ownership of model outputs, training data licensing, bias/discrimination liability, EU AI Act readiness), and (3) Experience working closely with ML engineering teams. A: It's HappyRobot's operating principle (borrowed from Navy SEAL/Jocko Willink doctrine). For legal, it translates to: No "that's not my job" on adjacent risks (security, compliance, ethics). You own the outcome of the deal, not just the markup. You proactively build the playbook so Sales doesn't need you on every call. You flag the IP risk in the product spec before Engineering ships. It's a mandate for legal as a product function, not a cost center. #J-18808-Ljbffr

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as Trading / Market Mechanics, Statistics, R, Python, C++, Machine Learning, and our research process. You will later be coached to successfully apply those skills to build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition. May include other duties as assigned or needed. We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.). No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need. Reliable and predictable availability required. Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more. If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply. Benefits include: • Private Medical, Vision and Dental Insurance, • Travel Medical Insurance, • Group Pension Scheme, • Group Life Assurance and Income Protection Schemes, • Paid Parental Leave, • Parking and Commuter Benefits #J-18808-Ljbffr

Overview Roeslein Modular Fabrication(RMF) is a key manufacturing facility of Roeslein & Associates, specializing in the fabrication and integration of turnkey modular systems for industries including beverage can manufacturing, renewable energy, oil and gas, and industrial processing. Located in Red Bud, Illinois, RMF provides a full range of in-house capabilities including structural and pipe fabrication, electrical assembly, panel building, and complete modular unit assembly. With more than 100 employee owners, 500,000 square feet of production space, advanced manufacturing equipment, and a strong commitment to safety, RMF combines skilled craftsmanship with a team-focused culture to deliver high-quality solutions safely and efficiently. Why Join Us? At Roeslein Modular Fabrication, you’re not just taking a job – you’re becoming an employee owner. As part of a ESOP organization, you share the success you help create while building a long-term career with a company that invests in its people. Our team supports critical industries through the fabrication and assembly of complex modular systems used in renewable energy, industrial processing, manufacturing, and infrastructure projects across the country. From structural steel and piping to electrical systems and complete modular assemblies, we deliver high-quality solutions that help customers improve efficiency, safety, and project execution. We take pride in building meaningful projects, developing skilled careers, and creating long-term opportunities for our employee owners. A Values Driven, People-First Culture We live by a simple but powerful ethos:Remain Humble. Stay Hungry. Be Happy.That means: Working hard and continuously improving Treating people with respect and integrity Prioritizing safety and quality in everything we do Enjoying the work we do – together Competitive Pay & Comprehensive Benefits We offer a rewards package designed to support your whole life - at work and at home: Employee Stock Ownership Plan (ESOP) and 401(k) Medical, dental, vision, and life insurance Paid vacation, holidays, and sick leave Paid parental leave Education and tuition reimbursement Bonus opportunities based on company and individual performance Growth, Development & Career Paths We believe careers should grow, not stall. Whether you’re early in your career or bring years of experience, we support your development through: Mentorship from experienced professionals Ongoing technical, safety, and leadership training Clear pathways for advancement across teams and disciplines Tuition and education reimbursement Responsibilities POSITION SUMMARY: Manage financial statement, accounting, and administrative aspects of the business. Provide reliable financial and operational information necessary for business decisions. Support Job Cost and Financial Accounting efforts of the manufacturing facilities at Pride and Red Bud. ESSENTIAL DUTIES AND RESPONSIBILITIES: Provide guidance and support to the Accounts Payable (Pride) and Accounts Receivable departments, and accounting questions in general. Review bank reconciliations. Manage the cash accounts. Oversee employee cash advances. Complete month-end intercompany reconciliations and journal entries. Manage fixed assets and depreciation. Manage accounting of the inventory at manufacturing facility. Oversee filing of annual, quarterly and monthly Use Tax and Sales Tax Returns and Personal Property Tax declarations for various states (Pride). Collect and provide information for annual insurance renewals and annual insurance audits. Calculate labor cost rates and intercompany charge rates. Set up and facilitate monthly job cost projection meetings including meeting notes and follow-up with project team. Review job cost reports and assist in the preparing monthly financial statements resulting from job cost projections. Prepare monthly financial statements, notes on Trial Balance, graphs, sales forecast, etc. Manage Payroll and AP deadlines. Review payroll funding report for accuracy and to ensure sufficient funds are available Review AP Open Payables (expense reports, purchase order invoices, foreign vendor invoices, and company overhead invoices). Evaluate and make appropriate improvements to internal accounting processes. Prepare and oversee annual budgets. Collect and provide information for annual consolidated financial review and tax prep. Collect and provide information for retirement plan audit and Form 5500 filings. Manage and review preparation of quarterly and annual payroll tax returns and year-end W2 Forms (Pride). Manage and review preparation and filing of year-end 1099 Forms. Provide information required for governmental surveys as requested. Maintain working knowledge of the accounting process from purchasing, time entry, AR/AP, through financial results. Perform other accounting duties as assigned. Participate in a wide variety of special projects. Handle any other activities as directed by the leadership team. OTHER DUTIES AND RESPONSIBILITIES: Become proficient with job cost accounting system. Document procedures, problems/solutions, explanations, descriptions, status updates, etc. Train co-workers on improved procedures to keep accounting information relevant. Promote a positive working environment in order to achieve the organization’s goals. Develop and maintain relationships with employees at all locations. Conduct activities in a safe and healthy manner and work in accordance with established safety and company requirements. Communicate with co-workers, management, clients, and others in a courteous and professional manner. Conform with and abide by all regulations, policies, work procedures, and instructions. Conform with all safety rules and use all appropriate safety equipment. Perform other duties as assigned. WORK ENVIRONMENT: Work is performed in an office atmosphere. Exposure to harsh conditions—such as: dust, fumes, chemicals, hazardous materials, noise, and varying weather and temperatures, for short periods of time is possible. All employees are required to follow safety standards and wear all personal protective equipment in designated areas. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential function of this job. While performing the duties of this position, the employee is regularly required to walk, stand, use hands and fingers, grip, handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch or crawl; and talk and hear. Ability to lift and carry 10 lbs. on a regular basis is required. This position also requires quarterly visits to Pride Conveyance Systems located in Hollister, CA. Qualifications KNOWLEDGE / SKILL / ABILITY / EDUCATION / EXPERIENCE: Bachelor’s Degree in Accounting or Finance is required. Five (5) years of “hands on” accounting experience is strongly preferred. Must maintain a professional appearance. Must have a positive attitude and cooperate well. Must be trustworthy and able to maintain confidential information. Must be responsible and reliable. Excellent problem solving. Excellent communication; both oral and written. Exceptional attention to detail. Excellent organization and planning. Effective time management. Requires a strong ability to multi-task and flexibility to learn and accept other duties. Ability to effectively learn and acquire new knowledge and skills. Strong math skills and confidence when working with numbers. Excellent computer skills and an in-depth knowledge of Microsoft Windows based programs. Prior experience with Viewpoint Construction Software is a plus. Ability to effectively interact with co-workers, clients, vendors, and other business contacts. * Must comply with Roeslein & Associate’s core values for the safe and efficient operation of the business and maintain sound relationships among and with employees. Pay Range Salary Range: Starting from USD $104,000.00/Yr. #J-18808-Ljbffr

MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics, linear algebra, and time series models Ability to quickly and

Machine Learning Quant - Start Up Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying. £150,000 GBP + performance bonus + internal fund investment Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. xrnqpay They are aiming to launch next year and are currently hiring in Miami, London and Milan. Description -- Role: exp...

The Sustainability Engineering team is seeking a Senior Electrical Engineer to drive the definition, development, and continuous improvement of electrical infrastructure standards across Amazon facilities in Europe.You will join a team which:• Enables EV charging infrastructure implementation through electrical design definition and review• Develops grid infrastructure standards spanning high-voltage up to 24 kV (HV) and low-voltage (LV) systems, ensuring a coordinated and resilient approach to grid design• Explores emerging technologies to address evolving sustainability needs, with emphasis on smart grid integration, efficiency, and resilience• Drives end-to-end deployment of EV chargers and other sustainability technologies across European sites• Defines processes for procurement and maintenance of electrical and sustainability infrastructure• Owns cost budgeting, forecasting, and tracking across sustainability programmesPossible locations for this role: Luxembourg, London, Munich, Milan, Madrid, and BarcelonaAmazon is committed to building a sustainable future for our customers, local communities, and the planet. Under The Climate Pledge, we committed to achieving net-zero carbon across our business by 2040, ten years ahead of the Paris Agreement. To get there, we need driven people who are dedicated to making a meaningful impact through sustainable energy technologies and scalable infrastructure design.Key job responsibilities• Own and develop electrical equipment standards, including standard designs for core electrical infrastructure in partnership with manufacturers and internal stakeholders• Perform design validation and review to ensure compliance with established electrical standards during installation and commissioning of infrastructure• Act as subject matter expert (SME) for LV and HV (up to 24kV) electrical systems• Align stakeholder expectations and define technical requirements for EV charging network infrastructure and smart grid deployments• Drive the technology roadmap for electrical infrastructure, including EV chargers, substations, energy efficiency solutions, and IoT technologies (e.g. smart metres)• Develop business cases and present recommendations to leadership to secure approval for programme scoping and investment decisions• Coordinate with programme managers to ensure quality and standards compliance across large-scale installations• Drive process improvement across commissioning, audit, value engineering, and cost control activitiesA day in the lifeYour day could include engagement with all levels of the organisation and multiple stakeholder groups to drive short-, mid-, and long-term technical decisions with large-scale impact across the Amazon network. You will also work with partners from Operations, Reliability & Maintenance, Health and Safety, Global Fleet Product, Finance, Procurement, and external vendors to design and deploy electrical infrastructure across Amazon’s operational sites in Europe.About the teamThe Sustainability Engineering team drives the execution and deployment of EV charging infrastructure, grid connections, and smart grid solutions across Amazon’s European sites. We manage supply chain, procurement, and maintenance activities, and define the processes that ensure consistent, scalable delivery. To enable this, the team develops and continuously improves electrical standards and technologies that underpin reliable, compliant deployment at pace. We power Amazon’s sustainable growth through operational excellence and continuous innovation.Basic qualifications- Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business- Bachelor's degree in engineering or equivalent- Experience in Design/Innovation, research & development, manufacturing, process, industrial engineering, or related work- Experience in management of engineering design projects- Experience using business or technical software like MS Excel, MS Project, and CAD softwarePreferred qualification - Master's degree in Engineering (any domain), Operations, Business Administration, or a related field- Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making- Experience working with the designs of complex automated material, handling equipment, packaging technologies, and systems including robotics and high-speed manufacturing- Experience with design-in-safetyAmazon 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 () 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Who We AreKonrad is a global leader in AI and digital innovation consulting. We help the world’s top businesses and brands succeed in the AI era. We are dedicated to solving complex business problems for our global clients with creative, forward-thinking solutions and AI-enabled products. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class, AI-driven digital products used by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hardworking people who are lifelong learners.About The RoleAs a Senior Consultant on our Strategy team, you will lead cross-functional engagements with global organizations as they embrace digital transformation and innovate for the AI era. Driving collaboration across our Strategy, Design, and Technology teams, you will solve complex business problems by delivering the creation of smart, intuitive, and human-centered experiences. You will act as a trusted partner to our clients and a leader on our projects, defining how emerging technologies like AI can be leveraged to build best-in-class digital products and reshape client capabilities.What You'll DoLead cross-functional teams and advise clients in evaluating business models, goals, and competitive pressures, identifying strategic opportunities where AI and emerging tech can drive growthDirect the creation of AI-forward digital solutions and target-state operating models for leading clients across various industries, contributing to AI strategy and product strategy workOversee comprehensive assessments of our clients' business processes, critical success factors, and market standing through executive stakeholder interviews and advanced researchLead our advisory work on digital transformation, defining strategic visions for how AI will reshape intelligent products, customer experiences, and competitive dynamicsDrive the collaboration between our Strategy, Design, and Technology teams to seamlessly bridge the gap between business objectives and elegant, human-centered user experiencesDesign, lead, and facilitate executive-level design thinking workshops, technology architecture sessions, and large-scale project planning activitiesOversee the structuring and authoring of high-impact presentations, business cases, Request for Proposal (RFP) responses, and other collateral, ensuring excellence for senior audiencesAct as a thought leader on the evolving AI, digital, and product innovation to strengthen client deliverables and mentor junior team membersQualificationsBachelor's degree in any discipline or equivalent professional experience; we hire from business, engineering, math, statistics, science, economics, and beyond, and prior consulting experience is not requiredMinimum 3+ years of relevant professional experienceA demonstrable passion for and expert understanding of great user experiences, product innovation, and the rapidly evolving AI technology landscapeTrack record of structuring complex, ambiguous business problems and guiding clients toward a clear, actionable, and analytical point of viewExcellent writing competency and exceptional communication skills, with the executive presence required to advise senior client stakeholdersStrong problem-solving ability, excellent attention to detail, and the capacity to oversee multiple complex workstreams and project teams concurrentlyA self-motivated leader with a constant desire to learn more about the latest technology trends and drive team-wide knowledge sharingAbility to lead in a highly collaborative team environmentExperience and strong comfort with presenting, executive workshop facilitation, and public speakingExperience with mentoring, guiding, and developing junior team membersGenuine enthusiasm for in-person work and collaboration; this role follows a hybrid model with four or more days per week in the officeWillingness to travel globally for client work as requiredPerks and BenefitsComprehensive Health & Wellness Benefits PackagePension SchemeParental Leave ProgramAnnual Tech & Travel AllowanceFlexible Working HoursWork from Home FlexibilityService Recognition ProgramsSocials, Outings & RetreatsCulture of Learning & DevelopmentKonrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.#LI-Hybrid

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 Planning What 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 development About 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. TPBN1_UKTJ

Machine Learning Quant - Start Up £150,000 GBP + performance bonus + internal fund investment Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 #alhu TPBN1_UKTJ

DRW in London is seeking an OTC Cryptocurrency Trader to manage counterparties, design markets, and execute trades across multiple digital assets. The role includes weekend trading coverage and collaboration with global DRW traders and researchers. You should have 2–7 years OTC trading experience, strong math and communications skills, and a self-starter mindset. This is a hands-on, high-performance role in a fast-moving crypto desk. #J-18808-Ljbffr

Research Scientists at FutureSearch are responsible for doing breakthrough research on the frontier of AI forecasting, research, and epistemics. We are a small, elite team of engineers and researchers at the frontier of our subfield of AI. Please see our website for our public track record, our papers, our benchmarks and datasets, our current research on the future of AI, and a description of the members of our team. Research Scientists at FutureSearch are exceptional as researchers, and they also excel at doing research at a startup. We work extremely quickly, exercise excellent judgment in what is ultimately valuable, and are pragmatic. We anticipate how their research will connect to the product and customer deliverables. We communicate continuously as a team. • A background in math, physics, CS, or an equivalent quantitative field, • Currently studying modern AI systems, and deeply curious about the future of AI, • Comfortable taking ambiguous open problems and making concrete progress on them quickly, • Strong proficiency with coding agents to handle the mechanics of running experiments and productionizing results The strongest candidates have experience • Researching LLM agents, • Studying epistemics: search, forecasting, judgment, establishing truth of claims, • Creating benchmarks, datasets, and/or tasks to evaluate AI systems FutureSearch is fully remote. We concentrate in London, with SF and Berlin as our next most travelled work locations. We prioritize traveling to meet at minimum 6 times per year, usually in or near London. As a remote company, we have flexible hours, with required synchronous attendance for critical US - Europe overlap hours (~7-10am PDT). We are a seed stage startup, and we offer higher-than-average equity for startups of our stage. We offer full benefits, depending on the country, including • healthcare, • paternity/maternity leave, • equipment, • travel expenses Salary range is $125k - $225k for US roles, and adjusted for the local labor market outside the US. #J-18808-Ljbffr

At SCOR, we combine the Art and Science of risk to help build more resilient societies. Data and AI are at the heart of this ambition. Within our Tech, Data & AI organization, we are seeking a Head of Data Platforms to lead the design, operation, and continuous evolution of SCOR’s enterprise data platform ecosystem, centered around Databricks and Palantir Foundry. This role is for a senior leader who combines deep platform expertise, strong engineering leadership, and forward-looking innovation, especially in the agentic AI space. You will own the platforms that enable data, analytics, and AI at scale, ensuring they are trusted, governed, cost-efficient, and continuously scaling business growth and AI adoption. You will play a critical role in shaping how SCOR leverages modern data platforms such as Databricks and Palantir Foundry (incl. AIP) to deliver high-impact business outcomes across underwriting, pricing, reserving, and corporate functions. You will define and own the platform strategy, governance model, operating model, and engineering standards, ensuring that the platform enables scalable data products, AI use cases, and self-service analytics. Beyond platform stability and delivery, you will drive innovation in the agentic AI space, enabling new ways of working through AI-powered workflows, automation, and decision intelligence. This role requires a strong balance between strategy, architecture, governance, and hands‑on leadership, with a particular focus on: • Architecture, governance, and compliance (data, AI, access, regulatory), • Cost management (FinOps for data and AI platforms), • Platform standards, adoption and best practices, • Enabling business-driven use cases at scale Key duties and responsibilities Under the responsibility of the Head of Data Platform, your mission will be to: • Define and execute the enterprise data platform vision, architecture, and roadmap across Databricks and Palantir Foundry, aligned with SCOR’s business and AI strategy, • Own the end‑to‑end platform architecture, including ingestion, transformation, storage, analytics, and AI enablement layers, • Ensure the data platform scales in line with business growth, increased data volumes, and expanding AI use cases, while maintaining performance, resilience, and cost efficiency, • Lead the modernization and consolidation of legacy data systems into a unified, scalable platform ecosystem 1. Platform Enablement & Adoption • Build and lead a Data Platform Center of Excellence (CoE) to drive adoption, onboarding, and enablement, • Support business to empower self‑service analytics and AI, • Act as a strategic partner to business and domain teams to prioritize, industrialize, and scale high‑value use cases in line with platform capacity and business demand 1. Governance, Security & Compliance • Establish and enforce enterprise‑wide governance frameworks covering access control, and regulatory compliance, • Define and operate platform governance models, • Ensure alignment with regulatory requirements (e.g. data privacy, auditability, AI governance) 1. Cost Management & FinOps • Own platform cost management (FinOps) across data and AI workloads, ensuring transparency, accountability, and optimization, • Implement cost control mechanisms, • Drive a culture where cost efficiency is embedded into engineering and data usage practices 1. Excellence & Best Practices • Lead the definition of reference architectures, reusable patterns, and canonical datasets / data products, • Establish platform observability, monitoring, and operational excellence practices 1. Leadership & Stakeholder Management • Lead and grow a high‑performing global team (platform engineers, architects, governance, FinOps), • Collaborate with executive stakeholders to align platform investments with business priorities., • Act as the enterprise authority on data platforms, advising on strategy, innovation, and risk. Required experience & competencies • +8 years in platform management or architecture with management experience, • Proven experience leading enterprise data platforms at scale, • Strong experience with Databricks and/or Palantir Foundry (incl. governance, platform ops, and architecture), • Experience in financial services, insurance, or other regulated industries is a strong plus Required Education: • BSc in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience Technical Skills: • Strong knowledge of distributed data processing (Spark, PySpark, SQL), • Expertise in data governance, metadata management, lineage, and data modeling, • Experience with AI/ML platforms and AI‑driven architecture, • Proven ability to define, implement, and enforce enterprise‑wide data platform standards, ensuring consistent engineering practices, data models, governance policies, and scalable usage across the organization, • Strong understanding of FinOps principles and cost optimization for data platforms, • Experience with CI/CD, DevOps, and infrastructure‑as‑code, • Familiarity with APIs, integration patterns, and data contracts Behavioral & Management Skills: • Proven experience scaling data platforms in line with business growth, increasing data volumes, and expanding AI workloads, while continuously optimizing performance, cost efficiency, and resource utilization, • Strategic thinker with strong execution capability, • Entrepreneurial mindset and strong sense of ownership, • Ability to balance innovation (AI) with governance and risk management, • Strong leadership and people development capabilities, • Ability to drive cultural transformation toward data and AI adoption, • Job Category Data Science and Business Intelligence, • Posting Date 09/21/2026, 06:35 AM As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting‑edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide. Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies. As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration. SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities. #J-18808-Ljbffr

Our client is an elite AI infrastructure company transforming how strategic commercial decisions are made across the global pharmaceutical and biotechnology sectors. Founded by a very bright team and backed by top-tier venture capital, the company pairs advanced AI research with deep industry expertise spanning commercial portfolio strategy, forecasting, and competitive intelligence. Their platform replaces noisy, manual research vendors with custom AI systems that continuously monitor global clinical trials, regulatory milestones, conference readouts, deal activity, and HCP research - cutting insight delivery time by over 90% for top-10 biopharmas. Operating with a forward-deployed engineering model, they build and embed secure, proprietary AI systems directly into client environments, giving global pharma leaders verifiable, document-traceable competitive intelligence in minutes instead of days. Reporting directly to the Founders, the Founding Forward-Deployed Engineer sits at the critical intersection of core systems architecture and client-facing technical execution. This is not an isolated back-office developer seat; it is a high-visibility, high-horsepower role designed for someone who can write production code in the morning and lead technical problem-scoping sessions with enterprise pharma stakeholders in the afternoon. You will help design the core multi-source data and LLM extraction infrastructure, while embedding directly with client teams to discover requirements, scope custom AI modules, and ship live, secure solutions in weeks. The founders place a strong premium on exceptional intellect and demonstrated excellence -whether proven through top-tier academic performance (e.g., Oxbridge, Imperial, Ivy League, or equivalent STEM pedigree), high-tier contest math/Olympiad backgrounds, or a track record of outperforming at premier engineering institutions. Partner directly with senior biopharma strategy and competitive intelligence leaders to unpack complex commercial problems, translate ambiguous needs into technical specs, and deploy custom modules rapidly into client environments. Build and maintain scalable, reliable data pipelines ingesting multi-modal global life-sciences data (clinical registries, conference abstracts, regulatory filings, and market intelligence). Develop robust inference, vector search, and extraction workflows using modern foundation models, with uncompromising standards for zero-hallucination provenance and source-document traceability. Implement robust, SOC 2–aligned cloud environments featuring fine-grained role-based access control (RBAC), end-to-end encryption, and isolated client data perimeters. Move seamlessly from whiteboard discovery to working client software within weeks, maintaining tight feedback loops to iterate on features in real time. High EQ, poise, and communication clarity to sit across from enterprise executives, ask the right diagnostic questions, and defend technical trade-offs without buzzwords. Strong hands-on engineering capabilities across modern backend stacks (Python/TypeScript), cloud infrastructure, distributed data ingestion, and API integration. Hands-on experience implementing production RAG, document parsing, and structured extraction pipelines where accuracy and auditability are non-negotiable. A bias toward shipping; comfortable building 80/20 MVPs to validate requirements quickly before hardening them into scalable infrastructure. Proven ability to break down unfamiliar domains (like complex oncology clinical trial data or pharma licensing terms) and map them cleanly into data structures and business logic. 3+ years of professional software engineering experience, ideally with exposure to client-facing engineering, forward-deployed engineering (FDE), or high-velocity B2B SaaS environments. Strong academic credentials or concrete evidence of top 1% technical ability (e.g., First Class / Distinction degrees in Computer Science, Mathematics, Physics, or Engineering from leading institutions; competitive programming achievements; or standout contributions to technical systems). Experience engaging directly with end-users or enterprise clients to gather requirements, run workshops, and iterate on live feedback. Solid software fundamentals: deep understanding of distributed systems, databases, cloud architecture, and modern AI/LLM tooling. Position: Founding Forward-Deployed Engineer (Full-Time). Location: London (Hybrid model, combining high-bandwidth co-located building with flexible remote days and occasional client visits). Package: up to £140K base + meaningful founding equity stake. Progression: Direct path to Head of Forward-Deployed Engineering or core architectural leadership as the business and deployment footprint scale. #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: EEO.Compliance@spglobal.com #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 Deployment Engineering Org: a specialized technical delivery team responsible for end‑to‑end execution of AI agent builds. Agent Deployment Engineers 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 Deployment Engineers 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 an Agent Deployment Engineer, 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 architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment., • Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non‑deterministic model outputs., • Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real‑world scenarios., • Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale., • Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines., • Diagnose, debug, and resolve both probabilistic and technical failures through root‑cause analysis of execution traces, error logs, and model behavior., • Design evaluation and regression‑testing frameworks to validate agent behavior against ground truth and guard against performance drift., • 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. Experience delivering production‑grade customer solutions that require structured execution, testing/validation, and iteration., • 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: • 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, • Monthly stipend to support your wellness, lifestyle, and work‑life balance, • Daily lunches and snacks in the office to keep you at your best, • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) 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

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. 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. • Play an active role in hiring, mentoring and career development of other engineers, • Raise the bar for technical standards, performance, reliability, and operational excellence, • 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, • 5-8 years applied ML experience, • Previous background in a senior/staff role (data science, software development or academic), • Significant, demonstrated impact that your work has had on the product and/or the teams, • Strong programming skills, • Experience as the primary technical leader for a team, • 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. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting for a Technical Operations Manager and Engineering Governance Lead to join our team in London on a permanent basis. This is a great opportunity for an experienced and enthusiastic candidate to join a global account team. As a CBRE Technical Operations Manager and Engineering Governance Lead, you will lead the implementation of a globally aligned engineering strategy for the client. Leverage the expertise from the global team to deliver best in class engineering services to the client providing risk mitigation, maximum uptime, continuous improvement, increased energy efficiency and cost reduction. • Provide formal supervision to employees. Track the training and development of staff., • Ensure the correct people, process and systems are in place for CBRE Engineering delivery to be Statutory Compliant across all locations. Lead the strategy for gap analysis and continuous improvement., • Drive the delivery of CBRE work order management in job planning, self and vendor delivered hard services, use of CMMS and reporting., • Provide support and guidance for all Engineering teams across all locations., • Audit sites to verify contractual compliance with all technical operations across these locations., • Ensure the Strategic Asset Management function improves quality of Operations and supports lifecycle and capital replacement., • Support data provision for regional engineering audits by customer teams., • Based on analysis of audit finding, provide training and support to the regional engineering teams to improve audit outcomes., • Support Global Engineering Director to develop the Engineering teams in the region and drive consistent engineering outcomes., • Act as part of Regional Engineering Leadership Team, contributing to regional meetings., • Undertake CRM (customer relationship management) activities with key members of the client organisation, specifically around audit activities to improve customer confidence in engineering delivery of the account., • Understanding of engineering operations, and as necessary support regional delivery., • Intermediate math skills. Ability to calculate complicated figures such as percentages, fractions, and other financial-related calculations., • Multi‑country and critical environment/data centre experience (preferred)., • Strong technical qualifications with good knowledge of both Mechanical and Electrical systems., • Minimum of 10 years’ experience in Building Services, including management of Critical Environments such as Data Centres., • Have a positive and proactive approach to work and be able to work on own initiative and as part of a large account team., • Excellent written and verbal communication skills in English., • Excellent relationship‑building skills., • Robust, assertive and dynamic attitude towards achieving results and delivering high‑quality service., • Significant experience in managing and leading teams during building power downs and Integrated Services Testing., • Ability to operate as a respected member of a small, closely knit management group., • Ability to work as part of a team, respectful of other members’ contributions whilst leading and persuading to achieve results., • Strong change manager and able to lead programmes to implement technical best practice., • Strong influencer, contractually astute and able to work within the confines of contractual requirements and budgets. As one of CBRE’s core global businesses, Global Workplace Solutions (GWS) provides end‑to‑end services to occupier clients across the entire lifecycle of a building. Our teams help companies improve their operations and reduce costs, through expert facilities management, project management, real estate, and energy and sustainability services. Our dedicated teams work across all industries, supporting clients ranging from global Fortune 500 companies to single, iconic buildings. CBRE Group, Inc. is the world’s largest commercial real‑estate services and investment firm, with 2019 revenues of $23.9 billion and more than 100,000 employees (excluding affiliate offices). CBRE has been included on the Fortune 500 since 2008, ranking #128 in 2020, and has been voted the industry’s top brand by the Lipsey Company for 19 consecutive years. It was ranked number one in the real‑estate sector in 2020, the second consecutive year. When you join CBRE, you become part of the global leader in commercial real‑estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward‑thinking professionals who create significant impact. Our collaborative culture is built on our shared values—respect, integrity, service, and excellence—and we value the diverse perspectives, backgrounds, and skill sets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants. We value human interaction to understand each candidate’s unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. Your application will be reviewed by our Talent Resourcing Team and you will be contacted if you have been successful in being shortlisted for the role. Please note: the job title shown above may be different to local job titles used in our business and issued on any contract of employment. #J-18808-Ljbffr

Taptapsend London Abroad London Full Time Link validated 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 What You'll Own 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. Who You Are 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. Why This Role 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. About Us We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling 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 founde #J-18808-Ljbffr

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set‑up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. 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. When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. 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 & socialise 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. When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #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

Job ID: 10431817 | AWS EMEA SARL (UK Branch) 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. 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. About the team 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. Why AWS? 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. Mentorship & Career Growth 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. Work/Life Balance 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 leading 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 opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status. #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

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: • Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions, • The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics, • Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions, • Non-Financial Risk & Controls: responsible for non-financial risk and control processes, • Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement, • Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk, • Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization, • Performing detailed analysis on risk trends and drivers, • Updating and maintaining risk models along with business growth and risk environment changes, • Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala), • Experience in designing highly scalable, efficient systems, • Effectively communicating results and outputs from the model and insights from analysis, • Post graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline, • 6+ years experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts, • Strong analytical and problem solving skills using math, statistics, and programming, • Demonstrated ability to learn technologies and apply, • Excellent communication skills including experience speaking to technical and business audiences and working globally, • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python), • Experience in designing highly scalable, efficient systems, • Familiarity with financial markets, financial assets and risk management practices is a plus At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. #J-18808-Ljbffr

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions Non-Financial Risk & Controls: responsible for non-financial risk and control processes Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk • Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization, • Performing detailed analysis on risk trends and drivers, • Updating and maintaining risk models along with business growth and risk environment changes, • Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala), • Experience in designing highly scalable, efficient systems, • Effectively communicating results and outputs from the model and insights from analysis, • Post graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline, • 6+ years experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts, • Strong analytical and problem solving skills using math, statistics, and programming, • Demonstrated ability to learn technologies and apply, • Excellent communication skills including experience speaking to technical and business audiences and working globally, • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python), • Experience in designing highly scalable, efficient systems, • Familiarity with financial markets, financial assets and risk management practices is a plus At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. • Job Identification 171766, • Job Category Vice President, • Posting Date 10/30/2026, 02:42 PM, • Locations London, Greater London, England, United Kingdom We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities. We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Read more about the full suite of class-leading benefits our firm has to offer.. Learn More #J-18808-Ljbffr

Woven Capital is Toyota's growth-stage venture capital arm focused on advancing the future of mobility – how people, goods, information and energy move. We manage $1.6 billion, investing in companies that create new ways to support mobility and emerging technologies, advance the industrial value chain, and accelerate decarbonization and sustainability. Our work connects breakthrough innovators with Toyota's global platform, strengthening the company's capabilities today while creating new opportunities for tomorrow. WHO ARE WE LOOKING FOR? Woven Capital is seeking an experienced Partner / Principal in London to shape the EMEA investment strategy, deepen founder and co-investor relationships, and formalize the foundation for Woven Capital’s presence in EMEA. Reporting to the CIO, the successful candidate will not only be able to lead investments end-to-end, but will also be ready and comfortable to conduct due diligence, develop trust relationships with business units on collaboration projects, and train and mentor other members of the team to develop their personal growth and career paths. • Source and develop investment opportunities by building and leveraging referral networks and relationships to generate high-quality deal flow. Cultivate and manage relationships with entrepreneurs, investors, academics, and industry leaders in Woven Capital’s areas of focus., • Lead investment due diligence by conducting market and industry research and engaging with company management, industry participants, competitors, customers, and other relevant stakeholders to assess investment opportunities., • Develop financial models and investment analyses, including valuations, optimal capital structures, investment terms, potential returns, and exit scenarios., • Structure and negotiate transactions, including drafting and reviewing term sheets, expressions of interest, and letters of intent, and negotiating deal terms and transaction documents with prospective portfolio companies, co-investors, and other relevant parties., • Develop investment recommendations by preparing and presenting investment memo to the Woven Capital Investment Committee for review and approval., • Drive portfolio value creation by actively monitoring investments, participating in board meetings as a director or observer, advising portfolio companies on strategy and growth, and facilitating strategic partnerships and business opportunities between portfolio companies and Toyota Group companies., • 10+ years of investment experience in venture capital, corporate venture capital, or private equity, with a strong track record of sourcing, evaluating, executing, and managing investments., • Bachelor’s degree or equivalent, with a strong analytical foundation. A degree in finance, business, economics, engineering, science, or another relevant discipline is preferred., • A natural collaborator and self-starter who takes ownership, demonstrates strong leadership, and consistently drives initiatives to successful outcomes., • Demonstrated ability to influence stakeholders at all levels, build alignment across diverse interests, and navigate complex organizational dynamics to achieve results., • Ability to build trusted relationships across Toyota and its broader ecosystem, and translate those relationships into strategic opportunities and tangible business outcomes for portfolio companies., • Excellent verbal and written communication skills, including the ability to simplify complex ideas and tailor messages and presentations to different audiences., • Track record of hiring, developing, and mentoring talent, as well as leading teams and managing multiple priorities in parallel., • Ability to navigate cultural, linguistic, and organizational differences, and move initiatives forward across global teams with different decision-making processes., • MBA, JD, or advanced graduate degree in Finance, Accounting, Economics, Business Administration, Math or other quantitative discipline highly desired., • Japanese language ability is a plus but not required., • Experience working, studying, or living in different cultures and geographies is a plus but not required. We are an equal opportunity employer and value diversity. Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details. #J-18808-Ljbffr

Job ID: 10586432 | AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in leading large-scale portfolio assessment and application disposition for enterprise data centre exit programmes spanning multiple countries and regulatory jurisdictions. You'll work closely with stakeholders to gather requirements, assess current infrastructure through discovery tooling and application owner interviews, and propose effective migration strategies to AWS – assigning R-strategies (Rehost, Replatform, Refactor, Retire, Retain, Relocate) and designing wave plans that respect dependency groupings, capacity constraints, and regulatory frozen zones. As trusted advisors to our customers, providing guidance on migration best practices, risk mitigation, and innovative solutions, you will be responsible for leading the end-to-end migration assessment process, ensuring adherence to AWS well-architected principles, optimizing wave sequencing, and managing risks throughout the programme lifecycle. 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. • 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs, • 2. Providing technical guidance and troubleshooting support throughout project delivery, • 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies, • 4. Acting as a trusted advisor to customers on industry trends and emerging technologies, • 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 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. Why AWS? 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. Inclusive Team Culture - 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - 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. Work/Life Balance - 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. The position may require up to 50% travel to customer sites. • Speak, write, and read fluently in English, and have the ability to take direction in English, • 10+ years of cloud architecture, solution implementation or consulting experience, with a focus on large-scale cloud migration and modernization programmes, • Bachelor's degree in Computer Science, Math, Engineering or a related field, • Experience leading the delivery of large-scale, mission-critical enterprise IT and migration programmes, including data centre exits, in a customer-facing role, • Experience as the technical lead of large-scale migrations: defining the migration strategy and target architecture, choosing the right approach for each workload (re-host, re-platform, re-architect, etc.), and translating these technical choices into business outcomes for executive audiences, • Experience using AI-powered and agentic migration and modernization tools (e.g., AWS Transform, ModelizeIT, Kiro or equivalent) to speed up discovery, assessment, code transformation and migration execution at scale, • Hands-on experience with technology infrastructure: network, compute, storage and virtualization, • Experience with wave planning, including dependency grouping, capacity balancing and multi-geography coordination under regulatory constraints, • Experience leading large teams and matrix organizations, and driving alignment across business and technology stakeholders, • Experience with the software development life cycle (SDLC) and agile/iterative methods, • Work experience in financial services (banking, capital markets, payments, insurance or other segments), including regulated workloads and compliance and security standards, • Deep knowledge of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC), including AWS migration services (e.g., AWS Application Migration Service (MGN), Database Migration Service (DMS), Migration Hub), • AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional), • Experience with at least two of these migration domains: VMware, SAP, Windows/SQL Server, Database (e.g., Oracle licensing, EC2 vs. RDS, PostgreSQL), Mainframe, • Experience with infrastructure as code, automation and scripting (e.g., Terraform, CloudFormation, Python, PowerShell), • Experience with public, hybrid and multi-cloud platforms, • Comfortable dealing with ambiguity in complex, multi-vendor environments with incomplete documentation and conflicting data sources, while prioritising needs and delivering measurable results, • Spanish language skills (written and spoken) are highly valued 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 ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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 https://amazon.jobs/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

At Aristocrat, we are committed to delivering world-class gaming experiences that bring happiness to millions of players around the globe. We strive for excellence in everything we do, and our mission is to lead the industry in responsible gameplay and innovative content. As a Senior Games Product Manager, you will play a pivotal role in crafting the future of our iLottery and iGaming eInstant games portfolio. You will have the outstanding opportunity to drive the entire game lifecycle, from concept to commercial success, and ensure our games outperform the market. • Lead the full lifecycle of multiple games—from conceptualization through launch and live operations, • Define product vision, positioning, and success metrics for each title, • Lead game discovery including concept validation, market fit, and target forecasting, • Drive execution while maintaining high quality and commercial excellence standards, • Define and evolve core game mechanics, • Partner with mathematicians, designers, and studios to develop compelling, competitive iLottery game experiences, • Apply deep understanding of player psychology, monetization levers, and retention dynamics, • Continuously set the standard on innovation and differentiation in the portfolio, • Take full accountability for game performance metrics (engagement, retention, monetization), • Analyze data and player behavior to drive continuous improvements and scaling strategies, • Lead post-launch optimization including Live Ops, feature tuning, data analysis, and roadmap evolution, • Identify and replicate patterns from top-performing games into future titles, • Function as a senior ally to game studios, guiding creative and production directions, • Lead cross-functional alignment across engineering, build, analytics, commercial, and compliance teams, • Mentor and guide mid-level PMs or team members, raising overall product quality, • Drive prioritization and decision-making in complex, ambiguous environments, • Ensure games meet regulatory and responsible gaming requirements across jurisdictions, • Adapt products to improve success across different markets and player segments, • Stay ahead of industry trends, competitors, and emerging player behaviors, • 5+ years of Product Management experience, with a strong focus on slot games, iGaming, or casino products, • A record of launching multiple games that achieved strong commercial performance (e.g., high engagement, retention, or revenue success), • Deep expertise in iLottery, slot mechanics, RNG systems, and monetization development, • Experience working closely with game studios, designers, and math teams, • Strong skill in reviewing data and using it to guide product decisions and growth strategies, • Proven track record in leading complex products end-to-end in a fast-paced environment, • Strong communication and partner management skills, • Proficient English Join us at Aristocrat and be part of an ambitious team that strives to deliver flawless gaming experiences and drive commercial success. Your role will be vital in crafting games that captivate players and set industry standards. Become a key player in our mission and help us bring happiness to life through the power of play! We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location. Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits. Specific details about compensation and benefits for this position will be discussed during the recruitment process. #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. You Will: 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 To learn more about how we collect, use, retain, and disclose Personal Information, please visit ourGlobal Candidate Privacy Statement. Compensation: £95K – £115K Offers Equity #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 accommodations@forhims.com 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

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

We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems. As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data the team. The Alexa for Shopping Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the AfS AI, from making it agentic, enabling customers to set price alerts or empower AfS to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. • Master's degree or above in Math, Statistics, Computer Science, or related science field, • Experience in a ML or data scientist role with a large technology company, • Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance, • Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab), • Experience effectively communicating complex concepts through written and verbal communication, • Experience in defining and creating benchmarks for assessing GenAI model performance, • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2, • Experience working on multi-team, cross-disciplinary projects Amazon is an equal opportunities employer. 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 () to know more about how we collect, use and transfer the personal data of our is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. #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 accommodations@forhims.com 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

Oho Group, a London-based startup, is seeking a Founding ML Engineer to join the early team and own core ML and agentic systems. You will work closely with the founding team to shape both product and technical direction, moving ideas from experimentation to production with speed and rigor. Ideally you have 1-5 years of production ML experience, a strong academic background in ML/CS/Math, and a passion for startup-level ownership. #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. • Play an active role in hiring, mentoring and career development of other engineers, • Raise the bar for technical standards, performance, reliability, and operational excellence, • 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, • 5-8 years applied ML experience, • Previous background in a senior/staff role (data science, software development or academic), • Significant, demonstrated impact that your work has had on the product and/or the teams, • Experience as the primary technical leader for a team, • 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 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 ourcore 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

Are you passionate about harnessing the power of AI to revolutionize healthcare? At GSK, we envision a future where advanced machine learning and AI applications drive the development of breakthrough therapies, enabling personalized treatments that yield better outcomes, reduce costs, and minimize side effects. If you're excited by the challenge of pushing the boundaries of technology to solve some of the world's most pressing health issues, we'd love to have you on our team. Define AI Product Goals: Assess the objectives of each AI product, clearly articulating the 'why' and the 'what,' along with establishing metrics to measure success. Strategic Definition & Execution: Understand the broader delivery and data strategy and ensure successful execution of plans. Technical Expertise: Leverage strong analytical skills, knowledge of software engineering best practices, coding, and integration with agentic frameworks to drive product development. Product Focus: Maintain a sharp focus on improving and delivering products by ensuring clear communication across teams and stakeholders, aligned with agreed goals and timelines. Agile Methodology: Utilize Agile practices in iterative development, with a strong emphasis on inspection, adaptation, and continuous improvement. Customer Advocacy: Act as the voice of the customer or user through thorough discovery processes and addressing unmet needs. Data Management: Accountable for defining and driving data requirements & strategies to ensure proper sequencing in model development, ensuring timely project delivery. Risk and Governance: Contribute to the effective management of the AI Risk register and uphold GSK’s data governance standards. Ethics and Compliance: Ensure all projects adhere to planning, reporting, ethics, and governance processes. Advanced degree and/or practical on the job-related experience in pharma/drug discovery and machine learning. Deep expertise in a basic science Biology, Chemistry, Physics, Math etc. Strategic Definition & Action: Define and translate strategy into action with a compelling narrative, motivating others, setting clear objectives, and delegating effectively. Agile Decision Making: Use evidence and sound judgment to balance pace, rigor, and risk in decision-making. Leadership and Performance Management: Effectively manage matrix leadership, ensuring high standards are met. Commitment to Quality: Deliver high-quality results, overcoming challenges, and focusing on what truly matters. Change Leadership: Implement and lead change initiatives effectively across a matrix organization. Resilience and Well-Being: Sustain energy and wellbeing while building resilience within teams. Continuous Learning: Always seek opportunities to learn, develop skills, and share knowledge both internally and externally. Relationship Building: Foster strong relationships and collaboration, managing trusted stakeholder interactions both internally and externally. Expertise in medical imaging, computer vision, computational pathology, cellular imaging, or spatial biology; Experience in clinical, late-stage applications and patient outcomes; Experience with software product management and delivery cycles; Experience with coding, software engineering, and agentic architectures; Proven ability to influence, communicate and negotiate with all levels of management across functional and business unit boundaries; Demonstrated experience organizing and motivating teams of individuals from multiple departments outside of his/her control (e.g., matrix team members); Proven ability to understand process improvement and change management issues associated with the lifecycle of product delivery. Innovative Product Management: You'll have the autonomy to shape the vision and strategy for groundbreaking AI products, using your expertise to turn complex challenges into simple, effective solutions. Cutting-Edge Technology: Work at the intersection of science and technology, taking advantage of GSKs wealth of data and leading the development of products that use the latest in machine learning to improve patient outcomes. Collaborative Environment: Engage with cross‑functional teams and senior leaders across the company, building strong relationships that foster innovation and ensure successful product deployment. Mission-driven impact: Your work connects directly to patients. Our stakeholders are expert scientists who will challenge your thinking and sharpen your analysis, and your outcomes steer real programs backed by significant investment and meaningful patient impact. Agile Work Culture: Thrive in an environment that values agility, continuous learning, and iterative development, where your ideas can quickly translate into impactful products. #J-18808-Ljbffr

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. Most frontier RL labs are racing on the same synthetic coding and math benchmarks. This research lab, backed by leading Silicon Valley investors, is taking those multi-step reasoning methods and directing them at biology, drug discovery, and clinical medicine. Equipped with serious compute and petabytes of proprietary biomedical data, they are engineering grounded environments where models can generate hypotheses, design wet-lab experiments, and interpret real scientific results. As an early Member of Technical Staff in Reinforcement Learning, you will own the full research loop, from designing environments and reward functions to scaling distributed training runs. This is not prompt tuning or wrapping commercial APIs; it is foundational research engineering where you turn messy biological workflows into verifiable tasks and build the rollout infrastructure to support rapid experimentation. • Build grounded RL environments, reward structures, and evaluation frameworks that force genuine scientific reasoning and actively resist reward hacking., • Train agents on multi-step reasoning, tool use, and long-horizon exploration across complex biological datasets., • Architect and scale the rollout, distributed training, and evaluation infrastructure required to run high-throughput experiments on large GPU clusters., • Partner directly with domain scientists to convert ambiguous biological questions into formal environments with verifiable outcomes., • Shape the technical stack, research discipline, and engineering standards as one of the lab's foundational hires., • Deep, first-principles understanding of reinforcement learning, with demonstrated experience debugging exploration, credit assignment, and reward hacking in large-scale models or complex agents., • Strong research engineering instincts, capable of writing performant code and debugging everything from learning dynamics down to distributed systems and GPU performance., • Hands-on experience building agentic systems, custom RL environments, tool-use architectures, or training setups for multi-step, long-horizon tasks., • Based in or willing to relocate to London, working on-site five days a week in the lab. Frontier RL roles tackling genuine scientific problems are exceptionally rare, and separating serious research labs with real compute from superficial AI hype is difficult from job specs alone. Dex gives you unvarnished insight into the team's compute access, culture, and technical roadmap before you enter their pipeline. #J-18808-Ljbffr

Be a key part of an agile team driving innovation to enhance, build, and deliver top-notch technology products. Bring your Software Engineering career to the next level and become an integral part of an agile front-office technology team where your expertise advances next-generation solutions. We value your contributions and empower you to stay at the forefront of industry trends. Join us and thrive in a culture built on diversity, opportunity, and respect. As an Athena/Python, Front Office Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Precious Metals and Agriculture - Commodities Tech team, you will be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges spanning multiple technologies and applications., • Works closely with Precious Metals/Agriculture Trading, Quantitative Research, Sales, Middle Office, and other technology teams to gather requirements and deliver reliable and impactful solutions, • Designs, develops and maintains trading applications and systems used by Front Office, • Troubleshoots production issues efficiently in a time-sensitive environment, • Continuously improves code quality, performance and system resilience by developing secure and high-quality production code, and reviewing and debugging code written by others, • Collaborates with global technology teams seamlessly and work in an agile manner, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to the team culture of diversity, opportunity, inclusion, and respect Formal training or certification on software engineering concepts and proficient advanced experience • Degree in Computer Science, Information Systems, Math, or equivalent training and relevant experience, • Hands-on experience delivering system design, application development, testing, and operational stability, • Experience in performant, large-scale system development in an object-oriented or functional language such as Python, Java, etc., • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, object-oriented programming, full stack development - end to end, quantitative finance), • Strong analytical and problem-solving skills, • Enthusiastic to keep learning and growing, in technical aptitude and business understanding, Software development experience in commodities, finance, or investment banking preferred, or willingness to rapidly learn the business domain, • Willingness to become proficient and develop in Python, if not already a primary language, • Ability to collaborate with other technology teams to deliver end to end solutions to the business in a constantly changing environment, • Excellent communication skills and ability to work directly with both business users and engineers J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr