Supply Chain Executive Jobs

Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side, our customers — leading AI labs and enterprises — need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale. We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI — with dedicated engineering, design, and data science teams. About the Role Scale’s GenAI platform is how the world’s leading AI companies — from frontier model labs to Fortune 500 enterprises — create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality. These roles are deeply cross-functional. You will work with dedicated engineering, design, ML research and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable. Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are hiring a Senior Strategy & Operations Manager to help run Snorkel's rapidly scaling Data-as-a-Service (DaaS) business. DaaS Operations is the centralized Strategy & Operations team reporting into the Head of Strategy and Operations, partnering across Supply, Delivery, GTM, Innovation, Finance, and Engineering to keep the business running with rigor and scaling efficiently as complexity grows. In this role, you will move fluidly across the most important problems in the business — operating cadences and planning cycles, capacity and supply planning, project execution and quality, customer outcomes, and the new operating functions we are standing up as DaaS scales. You will own end-to-end workstreams that don't have a clear home, build the operating systems behind them, and partner closely with the leaders of each function to turn strategy into measurable execution. This is a high-impact role suited for a strong operator who thrives in ambiguity, brings structure to fast-moving environments, and can balance strategic thinking with hands-on execution. What You'll Do Partner with leaders across DaaS — Supply, Delivery, GTM, Innovation, Finance, and Engineering — to bring operational clarity, execution rigor, and alignment to their highest-priority initiatives Own the operating cadence of the business — weekly, monthly, and quarterly reviews — and ensure goals, metrics, and reporting tell a clear story to leadership Drive cross-

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross

Band 7/8a Clinical Pharmacist Banding: Band 7 or 8a Location: Calderdale Royal Hospital (CRH) or Huddersfield Royal Infirmary (HRI) Start Date: ASAP Duration: Ongoing Hourly Rate: £30–£35 per hour (DOE) Working Hours: Monday–Friday, 08:30–17:00 (occasional requirement to work until 18:00) Job Overview Pulse is now recruiting for an experienced Band 7 or 8a Clinical Pharmacist to join the Clinical Pharmacy Service at Calderdale and Huddersfield NHS Foundation Trust. This is an excellent opportunity to deliver high‑quality medicines optimisation, provide expert clinical input, and support multidisciplinary teams across a range of clinical settings. You must have strong clinical knowledge, excellent communication skills, and the ability to work both autonomously and within a wider team. Key Responsibilities Clinical Duties Review prescriptions for clinical appropriateness, legality, and potential drug interactions. Dispense and supply medications in line with Trust and legal standards. Provide clinical and professional advice to medical, nursing, AHP and pharmacy staff, as well as patients and carers. Make evidence-based clinical recommendations, including dose adjustments and complex drug calculations. Manage medication decisions for patients with renal/hepatic impairment, co‑morbidities, or concurrent therapies. Advise in high‑risk areas such as IV therapy, pregnancy, and breastfeeding. Use professional judgement to manage complex clinical scenarios where definitive information may be limited. Participate in pharmacy audits, research, and quality‑improvement activities. Support antimicrobial stewardship in collaboration with microbiology and antibiotic pharmacists. (If qualified) Prescribe independently within your area of competence. Professional Duties Implement Trust Medicines Management and medication safety policies. Undertake duties of the Responsible Pharmacist when required. Contribute to staff training, supervision, and education of pharmacy students and wid

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

Band 3 Pharmacy Dispenser (NVQ2/NVQ3)- Calderdale and Huddersfield Location: Huddersfield Royal Infirmary (HRI) & Calderdale Royal Hospital (CRH) Start Date: 18th February 2026 Duration: Potentially extended period Grade: AfC Band 3 equivalent (all qualified staff considered – NVQ2 or NVQ3) Positions Available: Multiple Role Overview We are seeking experienced and motivated Pharmacy Dispensers to support the CHS Pharmacy team at Huddersfield Royal Infirmary (HRI). Some shifts may also take place at Calderdale Royal Hospital (CRH). The successful candidates will support day-to-day pharmacy operations, ensuring safe, accurate, and efficient dispensing of medications to patients and wards. This is a great opportunity to join a busy hospital pharmacy service for a potentially long-term assignment, working alongside a supportive and established team. Key Responsibilities Accurately dispense medicines for inpatient, outpatient, and ward supply Support pharmacy technicians and pharmacists in delivering high-quality patient care Undertake dispensing duties in accordance with local SOPs and national standards Manage stock levels, including ordering, rotating, and replenishing medications Assist in the preparation of monitored dosage systems where required Provide excellent customer service to patients, staff, and service users Ensure all documentation and records are completed to regulatory standards Maintain a clean, safe, and compliant working environment Participate in general pharmacy duties as directed by senior staff Qualifications & Experience Essential: NVQ Level 2 or NVQ Level 3 in Pharmacy Services (or equivalent) Experience working within a community or hospital pharmacy setting Strong understanding of dispensing processes and medicines management Ability to work accurately with excellent attention to detail Desirable: Previous experience within an NHS hospital pharmacy Knowledge of hospital pharmacy systems and procedures Additional Information Multiple p

Job Title: Dispensary Pharmacy Technician – Band 5 Banding: Band 5 Location: South Yorkshire Start Date: ASAP Duration: 3 months plus Hourly Rate: Up to £20 ph umbrella (or PAYE equivalent) Working Hours: 37.5 hours per week, full-time Job Overview Pulse is currently seeking a reliable and experienced Band 5 Dispensary Pharmacy Technician to join a busy NHS hospital pharmacy service in South Yorkshire. This role offers an excellent opportunity to support the delivery of safe, efficient, and high‑quality dispensary services within a well‑established hospital environment. You will play a key role in ensuring the accurate supply of medicines, supporting clinical teams, and maintaining high standards of patient‑centred care. Key Responsibilities Provide safe, accurate, and efficient dispensary services. Support clinical screening and accuracy checking processes where required. Deliver high‑quality medicines information and support to patients and healthcare professionals. Work collaboratively with pharmacists, technicians, and wider MDT colleagues. Ensure compliance with legal, professional, and organisational standards. Contribute to audits, service development, and quality improvement initiatives. Maintain accurate documentation and uphold robust governance practices. Qualifications and Experience Registered Pharmacy Technician with the General Pharmaceutical Council (GPhC). Previous NHS hospital experience (essential). Strong understanding of dispensary processes and medicines legislation. Excellent communication, organisational, and teamwork skills. Ability to work effectively in a fast‑paced environment with strong attention to detail. A proactive, patient‑focused, and professional approach. If this sounds like you, I’d love to connect. Please send over your updated CV and let me know your availability. Not available right now? No problem — referrals are hugely appreciated, and we have locum roles across the UK.

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

About the Team The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term t

ROLE We're seeking an investment analyst to join a discretionary macro team focused on liquid credit. RESPONSIBILITIES Conduct rigorous fundamental bottom up credit research to identify attractive long/short investment opportunities. This will entail credit analysis, financial modelling, documentation reviews, etc. Analyze businesses and capital structures (loans, bonds, CDS) across Distressed, High Yield, and High Grade credit markets and develop credit opinions. Synthesize market information and develop thematic trade ideas across sectors. Develop differentiated investment views from consensus and push conviction or contrarian viewpoints. Monitor existing positions, including news-flow, fundamental developments, and supply. Engage and maintain external relationships (sell-side research, syndicate, company management, ratings agencies) to develop views on issuers. REQUIREMENTS 3-6 years of experience in credit research or trading on the buy-side or sell-side, ideally as a desk analyst or trader. Experience building full three statement models (forward/backward), including all key KPIs. Direct experience reviewing credit agreements and bond indentures in order to understand corporate balance sheet flexibility. Prior industry specific focus and experience preferred. Entrepreneurial mindset. Commitment to the highest ethical standards. About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

About the Team The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analytics teams: Consumer & Growth Business Operations Dasher & Logistics Customer Experience & Integrity Merchant, Ads & Sales New Verticals International Data Science About the Role As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools Work with and mentor junior analysts on how to use more advanced methods and solve challenges Produce recommendations and use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Report aga

- Assist in maintaining a safe efficient smooth running working environment providing a good day-to-day maintenance and technical service. - Undertake maintenance refurbishments renovations and repair tasks to the highest standard. - Undertake all repair associated with water services installed. - Maintain / repair W / C systems and sanitary installations. - Maintain / repair / install water services to air handling units and fan coil units - Maintain and keep records of maintenance work carried out in the premises. - Fault finding and testing water services. - Maintain / repair floor drainage system in market roof gutters and rain water drainage systems - Maintain/repair/install hot water storage cylinders and heaters fire hoses wash down systems primary and secondary water pumps / service radiators and associated controls / sterilizations units. - Inspect / service / repair valve cocks and strainers on water supply systems condenser / low temp hot water chilled water / clean service shower units - Assist contractors and other trades as required. - Undertake general maintenance repair work as required. - Train and supervise on an ongoing basis other Multi Skilled Technicians in own trade so they are able to undertake basic tasks to a proficient level. - To learn and undertake other maintenance skills to a basic level as require within the Market (including carpentry/welding). - Maintain and keep records of maintenance problems. - Advise Head of Maintenance of any maintenance problems and reporting all accidents to Head of Maintenance via the markets accident report for procedure. Address: Nahars Amrit Shakti Road, Chandivali Farm Road, off, Saki Vihar Rd, Andheri East, Mumbai, Maharashtra Facility: NAHAR INTERNATIONAL SCHOOL Qualification: ITI Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP577118

The Teller is an entry-level position responsible for assisting with the execution of branch activities, including day-to-day delivery of client-facing services and processing transactions, in coordination with the Customer Service function. The overall objective is to provide high quality customer service and to help the branch generate revenue by delivering optimal solutions. Responsibilities: Serve as the first point of contact for Citi clients and provide a positive first impression through friendly and efficient customer service Perform efficient and accurate banking transactions including, managing cash supply for the branch, incoming/outgoing cash deposits, and maintaining branch vault cash Identify referral opportunities for new products and services based on client’s financial goals Educate clients on digital and self-service opportunities offered by Citi Adhere to bank policies, operational controls, and regulatory procedures to ensure the safety and security of client and bank assets Ensure all client needs are met and effectively manage client issues/concerns, escalating as needed Maintain working knowledge of client accounts as well as new and existing products and services offered. Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: Previous re

As a Commercial Operations Analyst at Zoox, you will help build and run the operational engine that drives our commercial P&L. Sitting at the center of our commercial business, you will turn pricing, promotions, and demand signals into the day-to-day and week-to-week decisions that move our growth and profitability targets—and stand up the rigor and rhythm that lets us manage those levers as we scale. This is a high-ownership role for someone who is equally comfortable in the data and in the operating cadence of a fast-moving business. You will partner closely with Product, Data Science, Fleet Operations, and Finance to translate complex commercial dynamics into clear actions, while helping establish the foundational processes that a growing Central Market Management team will be built on. It is ideal for a technical, structured operator who is energized by ambiguity and excited to shape how an autonomous mobility business is run. In this role you will: Set the objectives that pricing, promotions, and fleet deployment optimize against, from the weekly supply plan to real-time dispatch, so that decisions made in separate systems add up to one commercial plan. Partner day to day with Data Science on elasticity estimation, price effects modeling, demand and supply forecasting, supply planning, and marketplace simulation, bringing a clear point of view on what to build. Set the priorities for the vertical: size the expected business impact and effort of each initiative with the science and engineering leads, stack rank them, and re-rank each quarter as results come in. Drive delivery across the teams that build these systems, managing dependencies, holding the schedule, and escalating early when a date is at risk. Design the experiments and simulation studies that gate launches, set ship criteria and guardrail metrics before launch, make the ship call, and write the readout against the sizing that justified the work. Run the w