Food

Maintenance Tech II

Job Summary Under minimal supervision, set up, adjust, perform preventative maintenance, troubleshoot, repair, and maintain assigned equipment with responsibility for production and quality. Job Description MAJOR RESPONSIBILITIES: Perform preventive maintenance, routine inspections, and ad-hoc repairs on assigned conveyors, automation, robotics and ancillary equipment as needed. Perform routine troubleshooting of assigned out of service equipment and correct issues, act as an escalation point for lower level technicians, and escalate to leadership and/or more senior technicians as needed. Record all maintenance issues in maintenance log for each line. Document all work in the computerized maintenance management system (CMMS) and ticketing systems as appropriate and maintain accurate records of all operating logs for fire pumps, generators, HVAC equipment, and other facility systems that are tested on a routine basis. Mentor all maintenance personnel in developing appropriate skillsets and knowledge of equipment. Assist maintenance mechanics in work that requires two people or when operational needs demand. Perform facility/building project work as assigned. Tasks include, but are not limited to, light bulb/ballast replacement, door repairs, furniture installation, ceiling tile replacement, carpentry duties, plumbing repairs and maintaining operation logs. Assemble and test equipment to verify correct operation and production. Analyze and record cause of roduction delays on daily production reports and initiate procedures to solve equipment malfunctions. Examine defects and analyze spoilage causes and, where possible, take corrective action and verify the corrective action has eliminated the problems. Ability to certify on all industrial lift equipment. Pickers, Reaches, Skates, Booms, Scissor lifts, etc. Oversee projects as assigned. Projects will include minor space renovations, inventory management, contractor oversight, and building efficiency improvements. Oversee, inspect, and monitor the routine maintenance provided by junior engineers. Will also provide guidance and training as needed. MINIMUM JOB REQUIREMENTS: Education: High school diploma or equivalent Certification / Licensure: None Work Experience: 5 year of experience with a forklift, conveyor and general equipment repair and maintenance Experience troubleshooting complex equipment. Knowledge / Skills / Abilities: None PREFERRED JOB REQUIREMENTS: Education: Associates Degree in Mechatronics, Electrical Engineering Technology, Mechanical Engineering Technology, HVAC, orequivalent. Certification / Licensure: Graduate of an apprenticeship program or hold current trade certification. Work Experience: None Knowledge / Skills / Abilities: Fundamental understanding of machinery/equipment Basic skill level in multiple computer software packages including Microsoft Excel Experience working with inputs, outputs, and PLC logic systems and ability to troubleshoot these systems Willing to travel at least/up to 10% of the time for business purposes (within state and out of state). Must be willing to learn new equipment as it is brought on-line. Physical activities necessary to perform one or more essential functions of the position. Ability to bend, twist, reach, push, lift for extended periods daily Frequently move, lift, carry supplies/equipment up to 50 lbs and may have to occasionally lift up to 75 lbs Must be able to stand for minimum of 8 hours and up to 12 hours for up to 6 days a week Ability to continuously ascend and descend from ladders and stairs, work at heights and/or from a ladder, work from a lying down position, work with your hands above your head. Willing to operate material handling equipment (i.e. fork truck). Write documents and reports using writing instruments and computers Read information, often in small print (drawings) Follow appropriate safety procedures such as Lock Out/Tag Out, Arc Flash, etc. and use Personal Protective Equipment (PPE) while maintaining equipment, and ensure a safe work environment by eliminating potential equipment safety hazards Ability to work overtime and must be available for on-call requests as needed Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $33.25 - $48.25 Hourly The actual salary will vary based on applicant's location, education, experience, skills, and abilities. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here. Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws. Medline Industries, LP complies with the Los Angeles County Fair Chance Ordinance for Employees (FCO) and the State of California Fair Chance Act (FCA). In accordance with the FCO and FCA, an applicant's criminal history will not result in automatic disqualification from employment. Qualified applicants with arrest or conviction records will be considered for employment

  • Rialto, CA

  • no content

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning)

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You’ll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview: LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Director, CMS Practice Lead, Global Marketing Services

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Director, CMS Practice Lead, Global Marketing Services is responsible for driving the growth and development of the Commercial and Money Movement Solutions practice within Marketing Services globally. This individual will establish and maintain relationships across Visa Commercial Solutions, Visa Direct and Visa Government Solutions product, sales and marketing organizations, connecting global priorities with regional opportunities and capabilities. The role will support regional Marketing Services teams in achieving CMS revenue goals by helping identify whitespace opportunities, commercialize relevant solutions and equip teams with the materials, training and insights required to take those solutions to market. The role requires a commercially minded, highly collaborative leader who can navigate a complex global organization, translate data and product capabilities into actionable growth strategies, and build alignment across global and regional stakeholders. CMS Practice Strategy and Growth: Lead the global strategy and operating agenda for the Marketing Services CMS practice across Visa Commercial Solutions, Visa Direct and Visa Government Solutions Partner with regional Marketing Services teams to support delivery against annual CMS revenue and pipeline goals Translate CMS product priorities, regional client needs and Marketing Services capabilities into a clear global growth plan Contribute to annual operating planning, revenue forecasting and pipeline reporting to monitor the health of the CMS business and identify areas requiring additional focus Identify client-level whitespace, lead-generation opportunities and priority markets using CMS sales, client and funding data Establish clear priorities and operating cadences across global and regional CMS stakeholders Solution Commercialization and Sales Enablement: Partner with CMS product, sales and marketing teams to develop and commercialize scalable Marketing Services solutions across Visa Commercial Solutions, Visa Direct and Visa Government Solutions Assess the maturity and market readiness of proposed solutions and prioritize opportunities based on client demand, revenue potential and regional applicability Create and maintain sales plays, playbooks, case studies and other materials that clearly articulate the client need, Marketing Services solution, proof points, funding approach and seller call to action Adapt global propositions and enablement materials to reflect regional market dynamics, client needs and existing capabilities Develop repeatable commercialization approaches that can be applied across CMS products, segments and markets Coordinate the rollout of new and existing CMS solutions through internal training, communications and relevant seller and Client Marketer forums Pipeline, Data and Performance: Work with regional teams, Finance and Analytics partners to consolidate and monitor CMS revenue and pipeline performance Use client, project, pipeline and funding data to identify growth opportunities and inform prioritization Develop client-level opportunity maps that connect priority prospects with the most relevant CMS solutions and sales plays Track solution adoption, lead generation and regional engagement to evaluate the effectiveness of commercialization and enablement activities Maintain clear reporting for senior Marketing Services and CMS stakeholders on business performance, opportunities, risks and required decisions Global Stakeholder Leadership: Serve as the primary Global Marketing Services partner for CMS product, sales and marketing stakeholders Build strong working relationships across Visa Commercial Solutions, Visa Direct, Visa Government Solutions and regional Marketing Services teams Facilitate regular forums with regional CMS leads to share priorities, surface market needs, coordinate activity and identify opportunities for collaboration Represent Marketing Services requirements in CMS product and commercialization discussions, while ensuring regional teams have visibility into relevant product priorities and solutions Clarify roles, ownership and handoffs across global, product and regional teams to support consistent execution Influence senior stakeholders and build alignment across teams with differing priorities, resources and reporting structures Team and Budget Management: Lead, coach and develop direct report(s), establishing clear priorities, expectations and development plans Manage the global CMS Marketing Services budget and direct funding toward the highest-priority growth, commercialization and enablement initiatives Oversee external agency or vendor support where required, ensuring work is delivered on time, within budget and to the required standard Promote a collaborative, accountable and results-oriented working environment across the broader CMS stakeholder network Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10 or more years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Preferred Qualifications: 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD Experience in marketing, commercialization, business development, sales enablement, strategy or a related discipline Experience working within payments, financial services, B2B products or another complex global business preferred Demonstrated ability to develop and commercialize client-focused solutions, propositions or sales strategies Strong commercial and analytical capabilities, with experience using revenue, pipeline and client data to identify opportunities and guide prioritization Experience leading cross-functional initiatives across global and regional teams in a highly matrixed organization Excellent relationship-management and influencing skills, including the ability to build alignment without direct authority Strong executive presence and written and verbal communication skills, including the ability to translate complex concepts into clear recommendations Demonstrated ability to manage multiple priorities, establish effective operating structures and drive work forward with purpose and urgency People-management experience, with a strong track record of coaching and developing talent Proficiency in Microsoft Dynamics, Excel, PowerPoint and Word Ability to use current AI tools and resources to improve analysis, productivity and the development of client and seller materials Information for US Applicants For roles located in the US, the estimated salary range for this position is $178,300.00 to $ 285,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

  • Bolinas, CA

  • no content

Manager, North America Brand Operations

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Overview: Visa is seeking a strategic, execution-oriented Manager to help make the Visa brand a measurable driver of preference, trust, usage, and profitable growth across North America. This role identifies high-value growth opportunities for the Visa brand, builds the operating models and systems required to scale them, and enables clients and partners to activate them consistently across the next generation of payment experiences. The successful candidate will operate at the intersection of brand strategy, product and experience innovation, client engagement, and business transformation. They will partner across North America Marketing, Product, Sales, Partnerships, Legal, Technology, and Global Brand to embed Visa's brand earlier and more effectively in experiences that matter to consumers, clients, and partners. This role will have a particular focus on strengthening Visa's relevance and default position among next-generation consumers while supporting priority audiences and use cases. The Manager will translate regional brand strategy into actionable programs, scalable operating models, and AI-enabled governance capabilities that strengthen the consumer experience, accelerate adoption, reduce approval friction, and protect long-term brand equity. Key Responsibilities: Advance Brand-Led Growth Across High-Value Experiences: Identify and prioritize high-value brand and product experience opportunities across digital wallets, fintech platforms, AI-enabled commerce, and emerging payment journeys. Partner cross-functionally to embed the Visa brand early in experiences that drive consumer preference, trust, adoption, and business growth. Translate North America brand strategy into actionable initiatives that strengthen Visa's relevance across next-generation consumer experiences. Build a One Visa Operating Model: Establish scalable operating models, decision frameworks, and governance processes that enable consistent brand implementation across North America. Create shared feedback loops and ways of working across Marketing, Product, Sales, Partnerships, Legal, Technology, and Global Brand teams. Leverage AI, automation, and knowledge-management tools to simplify decision-making, reduce friction, and improve the speed, quality, and consistency of brand governance. Scale Brand Activation and Client Enablement: Develop compelling narratives, playbooks, and guidance that help clients, partners, and internal teams activate the Visa brand across evolving payment experiences. Lead enablement efforts supporting new brand standards, product-brand initiatives, and strategic growth programs. Build repeatable adoption models that accelerate implementation, improve client experience, and increase consistency across issuers, fintechs, merchants, and strategic partners. What Success Looks Like: Visa's brand is embedded earlier and more strategically in priority North America product, client, partner, and platform opportunities. High-value brand and product experience opportunities are identified and advanced through a clear, audience-led prioritization framework. Visa achieves stronger visibility, relevance, trust, and consistency across priority digital, AI-enabled, agentic, and emerging payment journeys. Internal teams, clients, and partners can interpret and apply brand requirements more easily through scalable guidance, enablement, and self-service capabilities. Brand approval and governance cycle times improve against established baselines, with less rework and fewer recurring case-by-case decisions. Cross-functional teams operate with clearer decision rights, feedback loops, escalation thresholds, and accountability. AI-enabled tools and workflows improve the speed, consistency, quality, and scalability of brand governance. Brand initiatives demonstrate measurable contributions to adoption, consumer experience, preference, usage, client value, or business growth. North America insights and recurring use cases inform broader brand standards, product strategies, and enterprise capability development. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5 or more years of relevant work experience with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD. Preferred Qualifications: 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 7 years of experience in brand strategy, marketing, payments, consulting, business transformation, product operations, partnership management, or a related field. Experience working across financial institutions, fintechs, wallets, digital platforms, merchants, commerce ecosystems, or payment products. Demonstrated ability to translate brand or business strategy into scalable programs, operating models, systems, and measurable outcomes. Strong understanding of digital consumer journeys and emerging payment experiences, including wallets, embedded commerce, P2P, AI-enabled commerce, or agentic experiences. Experience influencing product, commercial, legal, technology, and marketing stakeholders in a complex, matrixed organization. Demonstrated ability to influence without authority, establish shared decision frameworks, and move cross-functional initiatives from ambiguity to execution. Experience developing client-facing programs, adoption strategies, playbooks, enablement initiatives, or growth frameworks. Experience applying AI, automation, knowledge management, analytics, or workflow design to improve speed, quality, decision-making, and operational scale. Strong analytical orientation, including the ability to establish baselines, define success measures, interpret insights, and connect activities to consumer or business outcomes. Excellent executive communication, storytelling, facilitation, and stakeholder-management skills. Information for US Applicants For roles located in the US, the estimated salary range for this position is $134,600.00 to $ 215,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

  • Bolinas, CA

  • no content

Director, Global Interchange Strategy

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Director of Global Interchange Strategy, will be a key member of the Global Interchange Strategy Center of Excellence team, overseeing global interchange programs, published rates, deals, and governance. This leadership role will involve frequent collaboration with regional interchange stakeholders and cross-functional partners in Pricing, Sales, Product, Finance, Legal, Government Engagement, Rules, Risk, Client Services, and other teams. The successful candidate will be a strategic, data-driven thinker who is able to take a holistic approach to Visa's interchange strategies. This individual will drive the implementation of key strategic initiatives while developing and empowering a team to lead workstreams that support and advance Visa's interchange strategy. Essential Functions: Strategy and best practices - create strategic alignment and best practices across regional teams, develop frameworks that regional teams can use to roll out new interchange programs and ensure consistency in approach, provide consultation and support to regional teams on new interchange programs, provide thought leadership and structure on interchange elements of global deals, and oversee key global projects to drive decisions in a timely manner Innovation and process improvement - evolve our ways of working by moving from manual processes to automated processes, oversee adoption of new technologies, AI tools to streamline decision making and ongoing reporting requirements, and drive continuous process improvement Governance and compliance - oversee and evolve Visa's interchange compliance and governance frameworks, conduct regular risk assessments in coordination with internal compliance, risk and audit teams, produce regular reports on compliance and governance activities including progress and outcomes for senior leadership Leadership support - mentor, manage and coach a team, assist in talent management and organization design, develop curriculum and materials for training and development of global interchange team The position will report to the Senior Vice President, NA Interchange & Pricing and be based at Visa's offices in Foster City, CA. This role is a Hybrid position to be located in our Foster City, CA office location. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10 or more years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Ability to independently lead and manage projects with multiple workstreams, with proven leadership success over a wide variety of cross-functional business problems Ability to structure, manage, and coordinate complex cross-enterprise projects and processes with multiple stakeholders at both senior and junior levels Superior analytical and problem-solving skills, with demonstrated intellectual and analytical rigor Strong interpersonal and leadership skills to influence and build credibility with functional teams and regional leaders within Visa Proficiency in data management and reporting tools (e.g., AI, SQL, PowerBI, PowerApps) Commitment to continuous training and development of employees Self-starter, team oriented, collaborative, diplomatic, and flexible, with excellent presentation skills Preferred Qualifications: 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD Experience in and/or significant exposure to the payments industry preferred, with knowledge of interchange a plus Global or multinational business experience strongly preferred Information for US Applicants For roles located in the US, the estimated salary range for this position is $188,400.00 to $ 301,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

  • Belmont, CA

  • no content

Floating Maintenance Technician II

Floating Maintenance Technician II US-CA-San Francisco Job ID: 2026-6353 of Openings: 1 Category: Maintenance Services Strata at Mission Bay Overview We are growing! Sares Regis Group of Newport Beach, California, is a privately held real estate development, investment and management firm that focuses on commercial properties and multifamily communities in the western U.S. Since its founding in 1993, SRG has developed and acquired more than $7 billion in commercial and residential assets. The company manages a combined portfolio of approximately 25 million square feet of office and industrial space and 42,000 apartment units. OPPORTUNITY: FLOATING MAINTENANCE TECHNICIAN II - SAN FRANCISCO, CA DAYS REQUIRED: MONDAY - FRIDAY Sares Regis Group is seeking an experienced maintenance professional to float between our properties in NorCal. This is an excellent opportunity for someone looking to grow their career in the property management industry! Duties include but aren't limited to: • Works in turnover and renovation units, as well as responds to maintenance service requests. • Works on external, as well as internal repairs which may include, but is not limited to, drywall repairs, painting, fence and gate repairs, plumbing installation or repairs, appliance repairs, boilers and HVAC systems, and common area clean-up. • Participates in emergency and after hours coverage based on the established schedule or as required. • Sets up and operates machine tools such as lathe, grinder, drill, and milling machine to repair or fabricate machine parts, jigs and fixtures, and tools. • Fabricates and repairs cabinets, counters, benches, partitions, and other wooden structures. • Maintains or assists in maintaining inventory and prepares related paperwork. • Keeps storage facilities and equipment in an orderly, working condition. QUALIFICATIONS • Must have 1-2 years of experience in all trades (electrical, plumbing, drywall, paint, appliances, etc.) • Demonstrated knowledge and skill in performing quality work; able to use required tools and machinery; professional interaction with co-workers, residents and vendors; knowledge and continued education of OSHA requirements; knowledge of MSDS requirements appropriate to the scope of work. • Ability to read and interpret service orders and documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to effectively present information and respond to questions from employees, managers, clients, customers, and the general public. • High school diploma or GED, technical school, or three to six months related experience and/or training; or equivalent combination of education and experience. • Excellent customer service skills a must! • Ability to work weekends required. Salary range is $29.00-$31.00/hour. We offer a competitive compensation package that includes a 401(K) match, rental incentive and renewal compensation, bonuses, and rental discounts depending on location. Regular full-time employees who work between 30-40 hours a week are eligible for medical, dental, vision, other voluntary benefits and vacation accrual. Sick time accrual is provided in accordance with law. PLEASE APPLY ONLINE AT: SARES REGIS CAREERS WEBSITE EQUAL OPPORTUNITY EMPLOYER All positions contingent on completion of successful background screen and drug test. PM21 Compensation details: 29-31 Hourly Wage PId8a511cde780-37395-41350056

  • Hayes Valley, CA

  • no content

Maintenance Worker/Driver - Saj

Description: Job Summary: Responsible for transporting students. Duties/Responsibilities: Must have a class B drivers license. Performs interior and exterior center janitorial, building maintenance and ground keeping assignments according to work orders. Performs minor building construction tasks. Be knowledgeable of the School Dude / Assets Essential work system (Computerized Maintenance Management System) May work with assigned WBL (Work Based Learning) students Mows lawns, maintains grounds, picks up trash and papers. Cares for plants, trees, and flowers. May transport students by bus and automobile to various vocational sites, medical centers, recreational activities, courts, etc. Inspects vehicles and reports any mechanical issues to Lead Driver/Dispatcher or Facilities Manager. Ensures that all tools and equipment are in good repair and kept in appropriate storage sheds and closets. Transports equipment and/or commodities throughout the center. Change light bulbs, replace faculty electrical cords, etc. Adheres to all PRH, PAG, CDSS and CSD policies and procedures, and the Center’s Operating Procedures. Ensures all equipment and facilities are clean and maintained in accordance with Center, CSD and DOL standards. Attends all training sessions and staff meetings as scheduled. Is CPR and First Aid Certifiable. Maintains a work environment of zero accidents and injuries including no loss-time accidents. Ensures a work environment that provides an equal opportunity for all. Performs other duties as assigned. Requirements: Qualifications : Minimum : Must have a class B. Must be able to read and write English at a high school level with at least six months of general maintenance experience. Must have a valid Driver License. Preferred : Possess a High School Diploma. One-year experience of general maintenance experience. Knowledge : Knowledge of methods needed to instill appropriate maintenance techniques; to read, comprehend, interpret, communicate, and execute instructions or directives fluently in English. Physical Requirements: Frequently Sitting Seeing Hearing Speaking Driving Occasionally Standing Walking Bending Stooping Squatting Flexibility Seldom Climbing Lifting 50 pounds Carrying Kneeling Pushing/Pulling Running Environmental Demands : Equipment: Ability to operate office equipment Work Alone: Occasionally works alone Work With Others: 85% of time spent working and interacting with team and other departments Reading: Ability to read at a high school level Writing: Ability to write at a high school level PI300e2a91e53f-37395-41677224

  • Campbell, CA

  • no content

Office Coordinator

Job Summary Under general supervision, the Office Coordinator is responsible for ensuring an outstanding guest experience by serving as the primary point of contact for welcoming guests to the facility. Additionally, the Office Coordinator will be responsible for answering phone calls, receiving mail and packages, and performing other support tasks for the management team and hourly team members. Job Description MAJOR RESPONSIBILITIES: Serve as the initial contact for greeting visitors, logging guest visits, and alerting the appropriate party of the visitor's arrival. Help direct and/or escort visitors to appropriate Medline meeting room/destination. Complete security procedures (e.g., issues badges to new team members, ensures proper completion of visitors' log). Assist in maintaining office and breakroom cleanliness and ordering office and breakroom supplies when needed. Assist team members with travel-related inquiries, employee purchases, employee shipments, and distributing of apparel. Process expense reports for management team and hourly team members. Follow record retention guidelines to scan and retain non-sensitive team member documents. Maintain communication boards, location contact list, and Operations News Network Content with information and content supplied by the management team. Answer incoming calls in a professional and courteous manner. Direct callers to appropriate parties or departments for all Medline locations. Receive and direct all deliveries, including, food, printing, and flowers. Contact applicable employee upon delivery. Assist in maintaining facility safety by alerting security of any suspicious activity. Provide professional, accurate, and timely support to visitors and employees. MINIMUM JOB REQUIREMENTS: Education: High school diploma or equivalent Certification / Licensure: None Work Experience: Experience providing customer service to internal and external customers, including meeting quality standards for services, and evaluation of customer satisfaction Knowledge / Skills / Abilities: None PREFERRED JOB REQUIREMENTS: Education: None Certification / Licensure: None Work Experience: None Knowledge / Skills / Abilities: None Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $20.25 - $29.25 Hourly The actual salary will vary based on applicant's location, education, experience, skills, and abilities. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here. Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws. Medline Industries, LP complies with the Los Angeles County Fair Chance Ordinance for Employees (FCO) and the State of California Fair Chance Act (FCA). In accordance with the FCO and FCA, an applicant's criminal history will not result in automatic disqualification from employment. Qualified applicants with arrest or conviction records will be considered for employment

  • Temecula, CA

  • no content

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3 years of experience optimizing ML algorithms, configurations, and infrastructure 3 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3 years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3 years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1 years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Senior Manager, Data & AI Review Enablement

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Global Data Office As artificial intelligence and data-driven technologies become increasingly central to Visa's innovation agenda, the Global Data Office (GDO) is expanding its AI and Data Governance function to ensure responsible, compliant, and effective use of these capabilities across the enterprise. In this role, you will drive Visa's Responsible Data Use program - evaluating cutting-edge AI and data initiatives - to safeguard trust and unlock business value. You will be at the forefront of Visa's innovation, guiding how new AI solutions roll out globally while ensuring they meet our obligations to clients, regulators, and consumers. This position offers a unique opportunity to lead cross-functional collaborations, take ownership of mission-critical processes, and shape policies that govern data and AI use at Visa. Key Responsibilities Drive and enhance the Data & AI Use Case Assessment process - a key engine of Visa's innovation - enabling calculated, transparent risk-taking for faster business growth. You will continuously improve this process to support new AI/data initiatives while maintaining compliance and trust. Execute a wide range of initiatives to implement Visa's Responsible Data Use framework, including spearheading organizational change management efforts that embed data ethics into the company's culture. Collaborate across all Visa regions and functions as a catalyst in Visa's innovation pipeline. Work cross-functionally with teams (Product, Innovation, Analytics, Privacy, etc.) to operationalize data use guidelines globally, ensuring every project meets our standards and obligations. Conduct thorough Data & AI use case reviews: Examine incoming data use requests in detail and evaluate their risk against established Data & AI policies and rules. Where necessary, dive deep into technical specifics (even reverse-engineering algorithms) to ensure compliance and effectiveness. Lead end-to-end analysis of use cases: Take charge of reviews for complex AI and data projects. Identify and document potential risks with precision, bring in additional subject-matter experts for insight when needed, and synthesize all feedback into clear, actionable review reports. Take ownership of expert consultations: Engage internal subject-matter experts (legal, compliance, technology, etc.) to gather feedback on data use scenarios that fall outside existing guidelines. You'll own these collaborations, ensuring that no critical insight is missed when assessing novel or ambiguous cases. Drive policy improvements: Proactively identify gaps or gray areas in current data use policies. Coordinate with internal stakeholders to propose well-founded policy updates or alternative solutions, backing your recommendations with solid facts and analysis to drive leadership discussions. Provide thought leadership in Data & AI: Develop and share informed perspectives on emerging data and AI domains, including responsible AI, generative AI, data governance, privacy-enhancing technologies, and evolving regulatory expectations. Translate external developments and review insights into practical guidance that shapes policy, strategy, and decision-making across Visa. Champion training and awareness: Help lead workshops and training sessions that educate Visa staff on our Data Use Policy and core data values. Be prepared to step up and lead training sessions, inspiring teams across the organization to uphold responsible data practices. Mentor and develop junior colleagues: Provide day-to-day coaching, constructive feedback, and practical guidance to junior team members. Support their development of sound judgement, technical and policy expertise, and confidence in leading complex Data & AI use case reviews and stakeholder engagements. Amplify our Data & AI Policy & Governance message: Create and curate engaging content for the Global Data Office's internal sites and our external pages. Your content will showcase progress, highlight success stories, and reinforce the importance of responsible AI and data use. Communicate progress and insights: Prepare compelling materials (presentations, reports, dashboards) to socialize Data & AI Use Policy developments and share insights from Data Use Case Assessment reviews with stakeholders at all levels. Ensure transparency, buy-in, and alignment on data governance initiatives. Take on new challenges: Support ad-hoc Data Policy projects and new initiatives as they arise. Whether it's a sudden regulatory change or a novel business proposal, you are ready to jump in, adapt, and contribute to solutions in real time. Connect policy and practice: Make sure learnings from Data & AI use case reviews inform the broader data governance strategy. Share insights across teams ("cross-pollination") so that our policies, guidelines, and operations all advance together in a unified, informed way. Partner with data stakeholders: Work closely with Data Stewards and data requestors to gather complete and detailed information for each use case upfront. By ensuring you have all the facts, you enable more efficient reviews and more effective risk assessments. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Proven experience in data and AI domains: Solid background in data science, data governance, data privacy, or a related field. (Experience in the payments or fintech industry is a plus.) Deep understanding of AI/ML technologies: Familiarity with cutting-edge techniques - particularly generative AI and large language models (LLMs) - and a strong awareness of ethical AI and responsible data use frameworks. Technical proficiency: Hands-on skills in quantitative analysis and data tooling (e.g. statistics, coding, or data engineering). While not expected to apply these skills directly, you should be comfortable interpreting complex datasets and algorithms to evaluate complex datasets or algorithms, and you grasp how to apply mathematics and statistics in assessing policy compliance. Knowledge of data regulations: Familiarity with evolving data and AI legislation (e.g., EU AI Act, GDPR, CCPA) and the ability to incorporate regulatory requirements into your assessments and recommendations. Exceptional problem-solving abilities: Creative, out-of-the-box thinking to tackle complex data challenges. You find solutions that satisfy policy objectives while enabling business innovation. Track record of results: A history of delivering high-impact projects in fast-paced, high-volume environments. You meet ambitious goals and can handle multiple priorities without sacrificing quality. Strong communication & stakeholder management: Excellent interpersonal skills with a proactive communication style. You're able to engage and influence cross-functional teams - from engineers to lawyers to business leaders - ensuring everyone understands and aligns with data policy objectives. Clarity in complexity: Ability to interpret complex technical documents (policies, standards, procedures) and distill them into clear, concise guidance for non-technical audiences. You can translate "legal/technical speak" into actionable business terms that others readily grasp. Thrives under pressure: Energized by challenges, you excel in high-pressure, high-volume settings - delivering quality results even when working with demanding stakeholders and tight deadlines. Team leadership and collaboration: A true team player who is highly collaborative and diplomatic. You build strong relationships across diverse teams and lead by example, fostering an environment of trust and high performance. Meticulous and quality-focused: Keep attention to detail in everything you do, while still keeping sight of the bigger picture. You take pride in producing work that is accurate and of high quality. Exceptional problem solver: Superior analytical thinking with demonstrated intellectual rigor. When faced with a complex or ambiguous problem, you approach it systematically and resourcefully, finding innovative solutions. Self-motivated with ownership mentality: An independent self-starter who takes full ownership of your responsibilities. You have a strong sense of accountability for your deliverables and drive initiatives forward with minimal oversight. Adaptable and flexible: Comfortable working in a fast-changing, often ambiguous environment. You adapt quickly to new information and changing circumstances, staying effective and positive amid uncertainty. Open and innovative mindset: Open-minded and receptive to feedback and new ideas. You actively listen to others' perspectives and are willing to change approach when current processes aren't sufficient, always seeking better solutions . click apply for full job details

  • Belmont, CA

  • no content

National Accounts Manager, Retail

Job Summary This role is open to remote candidates; however, preference will be given to candidates located near Bentonville, AR area. Candidates located in Illinois maybe required to follow the applicable hybrid work schedule. Has direct sales responsibility to maintain, gain and grow key brands with strategic national retail customers. Responsible for delivering strategy and tactical initiatives that are aligned with both Business and Customer priorities to achieve customer specific sales and share performance goals. This role will require ongoing identification of growth opportunities and strong collaboration with the customer and internal resources across brand marketing teams, finance, supply chain, category management and shopper marketing. Job Description Responsibilities Develop and drive a vision and account strategy for short and long-term profitable growth, consistent with the long-range plans and strategy of the business. Responsible for understanding the account and building the business thorough fact-based knowledge by positioning products, programs and promotions to help them maximize sales. Lead all customer interactions for the business (new item launches, annual plans, logistics). Serve as the voice of the customer to internal leadership to help influence/ define strategies and short-term launch support plans Responsible for developing and delivering sales presentations (content, format, etc.). Present sales material and follow up on sales service to develop new business opportunities and lead the customer account planning cycle to ensure customers' needs and expectations are met. Responsible for the development of, and adherence to, the account detailed sales budget. Monitor and measure progress against the budget and altering plans, strategies, etc. to ensure achievement of the sales budget. Manage account program costs, (i.e., advertising, rebates, buyback and slotting allowance, etc.) to a minimum while maximizing sales. Identify, evaluate, plan and champion ongoing cost reduction initiatives. Conduct on-going internal and external account business reviews to measure, evaluate and present sales performance Assess competitive price position, assuring competitive pricing to maximize sales and profitability within account and accounts competitors and consistent with brand positioning. Work with product divisions on developing new product ideas and developing product launch plans that will deliver results and support. Manage internal forecasting procedures. Evaluate needs and demands of the customer and develop a business case for feasibility using the appropriate processes. Continuously gather intelligence, log and share on product performance, customers, competitors, consumers' attitudes, new opportunities, pricing, promotions, products, etc. Act as team leader for account projects; mentor other Retail Account Managers. This is a high-level individual contributor role - management responsibilities limited to leading day-to-day activities and outcomes of a group of employees. May be involved in hiring staff, recommending pay increases, performing performance reviews, training and development of staff, estimating personnel needs, assigning work, meeting completion dates, interpreting and ensuring consistent application of organizational policies. Requirements Bachelor's degree in business-related field. At least 8 years of direct sales and/or account management experience which may include direct sales experience in the consumer-packaged goods industry with increasing account responsibility. Advanced knowledge of sales acumen, trade, category management and marketing concepts / methods. Demonstrated ability to execute sales marketing strategies and tactics. Ability to analyze market trends to effectively develop presentations, provide recommendations and business forecasting. Skill and ability presenting to senior management or C-suite with the purpose of influencing company or client decisions. Includes presenting and reporting on project plans and cost benefit analyses to appropriate stakeholders, executives and senior management. Demonstrated ability assessing and initiating actions independently. Experience taking charge of a situation, team or project. Time management skills such as prioritizing/organizing and tracking details and meeting deadlines of multiple projects with varying completion dates. Demonstrated ability working with cross-functional teams and facilitating teams to identify and implement solutions to complex problems. Candidate must possess a high level of comfort with sharing strategic proposals with internal and external leadership teams. This is a remotely based position, as a result, the candidate must have excellent verbal and written communication skills. Position requires proficiency in Word, Excel, PowerPoint, and Outlook. Position requires travel up to 50% of the time for business purposes (within state and out of state). Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $116,000.00 - $174,000.00 Annual The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here. Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

  • Jefferson, IL

  • no content

Staff AI Engineer

Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. ion. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content