Food

Work From Home Research Panel. Ideal for Admin Virtual Assistants

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible work from home research opportunities that help shape products, services, and user experiences. Role Overview: We’re inviting individuals from all backgrounds, including those searching for admin virtual assistants roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part time (or full time) in research based on availability and profile match. Requirements: A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits: Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (work from home online or in-person), video interviews, product evaluations, or digital feedback sessions No prior admin virtual assistants experience needed. Just a willingness to share your opinions Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type Compensation: Up to $750 per week (amount varies based on the selected focus group or research assignment) If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time, work from home opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required: We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

  • California

  • no content

Remote Online Consumer Research Panel. Data Entry Clerk Welcome

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible online consumer research opportunities that help shape products, services, and user experiences. Role Overview: We’re inviting individuals from all backgrounds, including those searching for data entry clerk or online remote roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part time (or full time) in research based on availability and profile match. Requirements: A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits: Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (work from home online or in-person), video interviews, product evaluations, or digital feedback sessions No prior data entry or clerk experience needed. Just a willingness to share your opinions Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type Compensation: Up to $750 per week (amount varies based on the selected focus group or research assignment) If you're interested in being part of research that helps shape real-world decisions, and exploring flexible remote, online opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required: We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

  • Abernathy, TX

  • no content

MRF-Maintenance Technician

MARBORG RECOVERY Job Description JOB TITLE: Maintenance Technician LOCATION: MRF Tajiguas Landfill FLSA EMPLOYMENT CLASSIFICATION: Non-exempt, hourly PREPARED DATE: August 2021 REPORTS TO: Maintenance Supervisor DIRECT REPORTS: None MAINTENANCE TECHNICIAN POSITION SUMMARY: Responsible for maintaining the day-to-day operation of equipment located inside the Material Recovery Facility (MRF). This includes ensuring proper preventative maintenance inspections and troubleshooting on engines, motors, pneumatic tools, conveyor systems, and production machines. The plant mechanic must be able to accurately follow diagrams, sketches, operation manuals, manufacturer's instructions, and engineering specifications. Position is to ensure functionality and reliability of heavy equipment, conveyors, screens, shredders, and facility building. MAINTENANCE TECHNICIAN TYPICAL DAY: This is not just a job; this is a dedicated team determined to redefine waste recovery. We believe in making a difference every hour, every day. Our positive energy and time is invested for the purpose of a cleaner future for our county, next generation, and a healthier environment. DUTIES AND RESPONSIBILITIES include but are not limited to the following : Performs planned maintenance inspection (PM); diagnose, repair, and rebuild major equipment/components including but not limited to balers, conveyors, hydraulic power packs, eddy currents, electro-magnetic belts, optical sorters, diverters, compressors, trash compactors, motors, glass breakers, wire tie systems, fans, pumps, forklifts, front-end loaders and building equipment. Make necessary repairs to plant production equipment and support equipment as required. Maintain inventory control of maintenance repair parts. Must be able and willing to work with outside vendors as it pertains to troubleshooting and repairing all equipment necessary to our operation. Cleaning jams, clogs and applying lubricants to machinery components. Make sure all parts of conveyors are clean to ensure a smooth run and prevent failure. Replenishing fluids and components of engines and machinery. Schedule and set priorities for maintenance and repair work on equipment. Establishes and adjusts work procedures to meet production. Make initial inspection on equipment to be repaired and diagnose defects. Generate work orders and evaluate repair work on its completion. Perform highly technical work on hydraulic systems, fabrication projects, and rebuilding assignments. Locate, correct, and adjust defects in light and heavy duty vehicular and mechanical equipment. Adapt available tools and repair parts to specific repair problems. Read and interpret and work from sketches, diagrams, and electrical schematics. Acts as a lead worker by regularly instructing and directing others by assigning, reviewing and checking work. Inspects the quality of third-party repairs and or rebuilds. Recommends measures to improve production, equipment performance and product quality Performs service calls for emergency breakdowns. Requires a flexible work schedule, which may include nights and weekends to support operating schedule and the needs of the facility. Manage facilities improvements with contractors Work with building management to resolve any issues Occasionally run small errands Help make this a fun place to work. Perform all other duties as assigned in a professional and efficient manner. Maintains a feeling of pride in work; strives to achieve all goals. Any other duties needed to help drive to our vision, fulfill our Mission, and abide by our organization's values. SUPERVISORY RESPONSIBILITIES: None. CORE COMPETENCIES: • Doing Good - (i.e. Code of Conduct). • Making Good - (i.e. Accountability, responsibility and ownership for a problem). • Treating People Well - (i.e. Works cooperatively and effectively with others). • Environmentally Focused (i.e. Employee takes initiative as a LEED building initiative to preserve and improve our local environment for future generations). • Observant: (i.e. Employee can identify safety or operational deficiency's and to quickly implement a correction). • Safety Matters: Employee actively participates and promotes a safe and healthy workplace. NEAT JOB SPECIFIC COMPETENCIES: Diagnostic skills, work ethic, technical aptitude, resourcefulness, works quickly under pressure QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. KNOWLEDGE, SKILLS, ABILITIES AND EXPERIENCE: Working knowledge of electrical and control systems and have reached a high level of competency within a specific trade or discipline (e.g. welding, millwright, mechanics), but will have a functioning ability level in multiple areas. Must have knowledge/skills to be able to work on Conveyor belts and Motors that drive the belts. Principles of automotive repairs and preventative maintenance. Forklift Trained Trained on all needed hand tools to complete the following tasks (Able to demonstrate the correct/safe use of all required tools to complete the following tasks) Able to perform preventive maintenance on the BALER (Able to replace hydraulic components, adjust baler knifes, Demonstrate correct/safe use of the high torque machine) Able to perform preventive maintenance on BALER tier system (Able to trouble shoot and replace all components) Trained on making hydraulic hoses (Able to demonstrate) Able to perform preventive maintenance on PRI-MAX (Clean shafts, replace filter, clean cooler fan) Able to perform preventive maintenance on all conveyors (Able to change buckets, and replace take ups) Trained on advanced conveyor repair (Replace bearings, change transmissions, replace head/tail pulley) Trained on correct/safe use of rigging equipment Ability to multi-task and manage multiple priorities. Valid drivers license. Ability to perform under limited supervision. Ability to recognize routine mechanical difficulties and malfunctions. Ability to use of variety hand, power tools, and equipment. Ability to always work safely and institute safe work practices. Ability to work as part of a team. EDUCATION: High school diploma or general education degree (GED). Minimum of 5 years of mechanic service and repair experience and/or training; or equivalent combination of education and experience. LANGUAGE SKILLS: Position requires excellent verbal and written English communication skills including; ability to read, comprehend, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Bilingual in Spanish and English a plus MATHEMATICAL SKILLS: Ability to calculate figures and amounts suc h as ability to apply concepts of basic algebra and geometry. REASONING ABILITY: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. CERTIFICATIONS: None. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and talk or hear. The employee must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds and occasionally lift and/or move up to 100 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision and depth perception. WORK ENVIRONMENT: We are a drug free & alcohol-free work environment. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function. While performing the duties of this job, the employee is frequently exposed to moving mechanical parts, fumes, or airborne particles. The employee is occasionally exposed to wet and/or humid conditions; high, precarious . click apply for full job details

  • Santa Barbara, CA

  • no content

Supv Warehouse

Job Summary Job Description Responsible for the daily administration and operation of the warehouse. Oversee materials are received, stored, shipped and reported in accordance with established procedures. Direct and supervise warehouse staff. Review effectiveness of operating procedures, maintenance, space utilization and protection of equipment. Administer and oversee the daily operation of the warehouse including processing, packaging and storage of supplies, materials and equipment. Ensure overtime is maintained within budget allotted. - Oversee receipt, storage and shipment of materials and related reporting in accordance with established procedures. Ensure the accuracy of the inventory. Account for all materials and supplies in the stores facilities. Audit goods received into warehouse. Coach and mentor team members in the areas of productivity, quality, safety and Medline Core Values. Ensure all routine paperwork is completed on time and are filled out accurately. Assist the warehouse manager in maintaining a safe work environment for all team members. Lead day-to-day activities of employees. Assign, monitor and review progress and accuracy of work, directs efforts and provides technical guidance on more complex issues. Provide input into hiring, firing and performance reviews. Work with customer service to resolve warehouse related issues. Medline offers a business casual, entrepreneurial work environment with strong growth potential, a competitive compensation package, and a complete benefits package including medical/dental/vision/life insurance; 401(k) with company match. And much more! Education: High school diploma or equivalent, Associate's degree a plus. Relevant Work Experience: At least 3 years of supervisory experience coaching, mentoring and training staff. - At least 3 years warehouse experience. Basic skill level. Additional: Ability to lift 50 lbs Ability to sit, walk, or stand for prolonged periods of time 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: $67,000.00 - $101,000.00 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.

  • Grayslake, IL

  • no content

Director, Payment Ecosystem Risk & Compliance

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 team is responsible for protecting the integrity, safety, and trust of the Visa payment ecosystem. The team monitors and enforces risk and compliance programs that identify, investigate, and remediate behaviors that threaten the stability of the network, Visa clients, and end users. These programs span multiple risk domains, including acquirer and issuer monitoring, fraud and risk compliance, integrity programs, and network risk investigations, and include programs such as Rules Compliance, VAMP, VIMP, FRECOP, VIRP, and related ecosystem risk frameworks. Collectively, these programs ensure that ecosystem participants operate in alignment with Visa Rules, program requirements, and applicable laws and regulations. Role Overview This leadership role is responsible for managing one or more Visa Case Investigation & Enforcement (CIE) teams and overseeing the execution, evolution, and strategic direction of programs that protect the integrity of the Visa payment ecosystem. The Director provides leadership across compliance, ecosystem risk, investigations, monitoring, remediation, enforcement, and related risk management functions, ensuring programs are scalable, effective, and aligned to Visa's business and regulatory objectives. The Director leads teams of Senior Consultants, Consultants, and Analysts, with accountability for operational excellence, program performance, people leadership, and delivery of business priorities. This role oversees complex and often ambiguous issues, drives continuous improvement of processes and operating models, and ensures work is executed within established service, quality, and risk management standards. Working closely with CIE leadership and cross-functional partners across Global Risk, PERC, Rules & Compliance, Client Services, Product, Legal, Technology, and regional teams, the Director helps shape strategy, establish priorities, and address common policy, operational, technology, and organizational needs. The role identifies emerging risks and industry trends, leverages data-driven insights to enhance program effectiveness, and champions scalable solutions, automation, and innovation to strengthen Visa's ecosystem protection capabilities. The Director serves as a senior escalation point for complex investigations, client engagements, enforcement matters, and risk events, influencing outcomes with executive-level stakeholders both within Visa and externally. Operating with significant autonomy, the role drives organizational alignment, develops talent and capabilities, and fosters a culture of accountability, collaboration, and continuous improvement while minimizing operational, regulatory, financial, brand, and reputational risk to Visa. Key Responsibilities Assist CIE senior management in the preparation & execution of annual strategy, objectives & tracking. Manage assigned CIE Compliance team to ensure workload prioritization and balance, SLA alignment, objectives and milestone dates are met. Responsible for staff recruitment, on-boarding, engagement, recognition and coaching / mentoring. Conduct staff performance reviews, provide on-going feedback and coaching and direct the professional development / department commitment of staff. Act as escalation point for 1st level exception and client issues; keep management informed on a timely basis and support global cohesiveness in problem-solving. Oversee operational control points, such as Non-Compliance Assessments (NCAs) imposition, and other agreed reporting. Identify opportunities, develop and conduct awareness building and training for key internal and external clients on Rules and Compliance processes and procedures. Form collaborative relationships with key internal clients - such as Sales / Business Development teams, Acceptance, Legal, Risk, Account Management, and other Client Services counterparts to ensure communication channels and processes function smoothly. Identify operational and strategic opportunities to increase service quality, efficiency or employee satisfaction and makes recommendations accordingly; work with CIE leadership teams to effect change. Responsible and accountable for negotiating complex compliance action plans with Clients at senior officer level, using discretion within the regulatory framework. Provide staff direction, with respect to creating and implementing standard compliance solutions that meet regulatory and strategic compliance objectives of Visa Inc. and its Clients with respect to the Visa By-Laws, and Rules and associated subsidiary manuals. Responsible for ensuring all management information statistics, performance criteria and trends relating to Compliance processing are collated, analyzed, published and fed back to team members to help define compliance strategy for Visa Inc. globally and regionally. Provide Clients and staff with accurate interpretation and analysis of Visa Rules in response to telephone or written inquiries and/or proposed Client or Merchant activities, and as a full project team member for assigned projects as required. Provision of advice and interpretation on all regulatory matters, as codified in the Visa Charter Documents and Rules to Clients and staff. Tracking and control of Compliance actions plans as submitted by Clients ensuring they are tracked to resolution. This role is a Hybrid position to be based in our Atlanta, GA office location with expectations of being in the office a minimum of 3 Days per week. Expectations of in office days will be aligned with the selected candidate and hiring manager. 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 10 years of experience in payments, financial services, banking, risk management, compliance, investigations, audit, consulting, or a related field, including leadership experience managing teams and complex global programs. Extensive experience designing, implementing, and leading compliance, risk, investigative, enforcement, or operational programs within regulated or highly controlled environments. Demonstrated ability to assess enterprise risk, exercise sound strategic judgment, and lead through ambiguity while driving resolution of complex, high-impact business and regulatory issues. Proven experience leading large-scale, cross-functional initiatives and influencing senior leaders across a global organization to achieve business, operational, and risk management objectives. Strong analytical, investigative, and problem-solving skills, with the ability to leverage data and analytics to identify trends, assess risk, develop actionable recommendations, and improve program performance. Exceptional written, verbal, and presentation skills, including the ability to communicate complex technical, regulatory, and business issues to executive audiences and translate them into clear, business-focused recommendations. Demonstrated people leadership experience, including organizational development, talent management, coaching, performance management, and building high-performing teams. Strong program and operational management capabilities, including prioritization, stakeholder alignment, and management of multiple strategic initiatives simultaneously. Advanced proficiency with Microsoft Office applications, including Excel and PowerPoint, and experience leveraging reporting and analytics tools to support decision-making. Ability to build relationships and drive alignment across diverse stakeholder groups, functions, regions, and cultures in a global matrixed organization. Fluency in English required. 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 Deep expertise in the payments ecosystem, including card payments, ACH, push payments, network operating rules, compliance frameworks, and regulatory requirements. Proven ability to influence, negotiate, and build credibility with executive-level internal and external stakeholders, including clients, regulators, and industry partners. Experience leading enterprise-wide or global compliance, risk, enforcement, investigations, or ecosystem protection programs across multiple geographies and cultures. Demonstrated success coordinating competing stakeholder interests and driving alignment across complex, multi-faceted organizational initiatives. Experience driving operational transformation, automation, process optimization, analytics, and technology-enabled solutions that improve scale, effectiveness, and business outcomes. Strong research and data-driven decision-making capabilities, including experience working with large, complex datasets and data visualization tools such as Tableau or Power BI. Deep understanding of emerging payment industry risks, regulatory developments, fraud trends, and risk management practices . click apply for full job details

  • Lenox Square Finance, GA

  • no content

Director, Software Engineering

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 Job Summary: The Acceptance Solutions Product Development team are the engineers responsible for a portfolio of products that drive diversification of Visa revenue, differentiate our network, and deliver value-added solutions across other rails. This is part of a strategy to increase total merchant value by developing solutions that address complex and emerging needs of both merchants and acquirers. Our mission is to drive the future of payment acceptance, helping our clients navigate digital commerce complexities and address an increasing need for flexibility and agility. The goal of the Visa Acceptance Platform is to be the world's most open payment platform by delivering market leading, globally relevant, omnichannel acceptance componentry through open, composable, modular APIs delivered with Visa-grade resilience, security, maintenance, and scale. We are seeking a dynamic, hands-on engineering leader to lead teams building secure, high-performing distributed systems for payment acceptance. Our technology stack includes Java, Containers, Kafka, relational databases, Docker, Kubernetes, and modern cloud-native engineering practices. The ideal candidate brings strong software engineering depth, proven people leadership, and the ability to stay close to day-to-day design, code, architecture, delivery, and operational decisions while partnering with architecture, product, security, and operations teams to deliver resilient platforms at scale. This role requires a leader who can balance strategic direction with active hands-on engineering involvement, apply AI/ML and Generative AI to improve engineering productivity and business outcomes, and mentor engineers to grow their technical capabilities and careers. This is an opportunity to lead talented teams while remaining deeply engaged in the technical details that shape secure, scalable payment acceptance. Be a part of our mission to shape the future of secure payments. Essential Functions: Lead the design, implementation, and deployment of secure, reliable, robust, and interoperable payment acceptance products. Remain hands-on with architecture, design reviews, code reviews, technical troubleshooting, production readiness, and critical delivery decisions on a day-to-day basis. Provide engineering leadership to ensure solutions align with platform principles, architecture standards, and Visa-grade availability, resiliency, and operational excellence expectations. Define and execute the technical strategy for payment processing and acceptance platforms in alignment with product vision, business priorities, and long-term platform evolution. Drive delivery of fit-for-purpose products and platform capabilities that improve time-to-market while maintaining security, quality, scalability, and reliability. Apply AI/ML, Generative AI, and automation to improve productivity across the software development lifecycle and enable innovative business and product outcomes. Establish and continuously improve engineering best practices for application development, testing, deployment, observability, monitoring, incident response, and operational readiness. Partner with security, privacy, risk, governance, and compliance teams to ensure products meet applicable policies, standards, regulatory expectations, and customer commitments. Collaborate with product, regional, business, and client-facing stakeholders to translate requirements into high-quality solutions that meet functional and non-functional requirements. Communicate technical strategy, tradeoffs, risks, dependencies, and delivery progress clearly to executive leadership, business partners, and engineering teams. Coach, mentor, and develop engineers and engineering leaders through regular feedback, technical reviews, brown bag sessions, tech talks, and career development conversations. Build and lead high-performing teams by promoting collaboration, constructive debate, accountability, inclusion, and execution excellence consistent with Visa Leadership Principles. Adapt communications and presentations for a wide range of audiences, including updates on strategy, planning, delivery, innovation, organizational effectiveness, and business results. Bring forward new ideas, engineering improvements, and technology recommendations that increase team effectiveness, improve developer productivity, and advance platform capabilities. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Essential Functions: Serve as the hands-on technical lead for Payment Processing Platform across the Visa Acceptance Platform, providing technical direction across architecture, design, implementation, scalability, resiliency, and operational readiness. Design and evolve secure, reliable, and scalable search, indexing, analytics, enrichment, and data-processing capabilities that support high-volume payment acceptance use cases. Provide technical leadership for modern, intuitive, secure, and performant user interfaces that enable search, analytics, reporting, operational insights, and data-driven workflows for internal and external users. Remain actively hands-on with architecture, design reviews, code reviews, proof-of-concepts, performance analysis, debugging, technical troubleshooting, and production-readiness decisions on a day-to-day basis. Set technical direction for event-driven data flows, transaction enrichment, search indexing, analytics pipelines, user-facing dashboards, observability, and operational insights in alignment with product, platform, security, user experience, and business objectives. Lead technical design for event correlation, transaction matching, retry handling, dead-letter queues, replay, idempotency, exactly-once processing considerations, and high-throughput data movement. Partner with application, data, platform, product, security, privacy, risk, governance, and operations teams to deliver solutions that meet functional and non-functional requirements, including security, latency, availability, compliance, and maintainability. Apply AI/ML, Generative AI, automation, and intelligent engineering practices to improve software delivery, search relevance, analytics capabilities, operational insight, developer productivity, and business outcomes. Mentor senior engineers and technical leads through design reviews, architecture discussions, hands-on problem solving, technical deep dives, brown bag sessions, and production troubleshooting. Communicate technical strategy, tradeoffs, risks, dependencies, and recommendations clearly to executive leaders, product partners, architecture forums, and engineering teams. Drive engineering improvements that strengthen reliability, performance, observability, maintainability, developer productivity, and operational excellence across Search and Analytics capabilities. Influence technical strategy across teams without relying on formal reporting authority, using strong engineering judgment, collaboration, credibility, and hands-on technical depth. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10 years of relevant work experience and a Bachelors degree, OR 13 years of relevant work experience. 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. Demonstrated experience leading software engineering teams, including people management, coaching, performance development, and delivery accountability. Deep experience designing, building, and operating mission-critical distributed systems that require high availability, scalability, resiliency, and security. Proven ability to solve complex technical and organizational problems across multiple domains, systems, and teams. Experience setting technical direction, influencing architecture and delivery strategy, and aligning engineering execution with product and business objectives. Strong proficiency in modern software engineering practices, programming languages, API design, system design, testing, deployment, and operational excellence. Recent hands-on experience with architecture, design, coding practices, code reviews, debugging, production support, and technical decision-making in complex software systems. Experience with cloud platforms, Kubernetes, containerized deployment models, and modern DevOps practices. Experience with event-driven architecture, streaming platforms such as Kafka, and high-throughput transaction or data processing systems. Experience delivering secure software platforms, including familiarity with authentication, authorization, encryption, identity, and secure engineering practices. Track record of mentoring engineers, developing technical leaders, and building strong engineering culture. Experience applying AI-enabled engineering practices, automation, or developer productivity improvements across software delivery teams. Experience with payment processing, transaction lifecycle concepts, or high-scale financial technology platforms . click apply for full job details

  • Belmont, CA

  • no content

Director, Finance Transformation Program Manager

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, Finance Transformation Program Manager will lead program management for Data Transformation projects within the Finance Velocity Office. This role will drive execution, governance, prioritization, and cross-functional alignment across Finance data initiatives, while supporting larger Finance and enterprise programs that depend on or impact the data platform. The Director will partner with Finance, Data, Technology, Product, Transformation, and business teams to translate Finance strategy into integrated roadmaps, manage dependencies, and deliver scalable data capabilities with speed, quality, and measurable business value. This role requires a strong combination of data fluency, program management discipline, and executive communication. The Director must be able to engage credibly with technical teams, understand Finance data dependencies, and distill complex issues into simple, decision-oriented updates for senior leaders. Key Responsibilities: Lead end-to-end program management for the Finance Data Transformation Roadmap, including roadmap planning, governance, milestones, risks, dependencies, and executive reporting. Maintain integrated program plans across data ingestion, data quality, reporting, analytics, governance, controls, and platform adoption workstreams, ensuring clear ownership, sequencing and delivery accountability. Serve as the program management liaison for large Finance and enterprise initiatives that interact with or depend on Finance Data, translating technical dependencies into business implications, risks and decisions. Partner across Finance Transformation, FP&A, Treasury, Tax, Procurement, Operations, Sales, Deals, Data, Technology, and Product teams to align priorities, requirements, timelines, delivery plans and decisions needed. Identify and manage cross-program risks, integration points, sequencing challenges, resource constraints, and decision needs; escalate issues with clear options, tradeoffs and recommended next steps. Support the Finance Velocity Office operating model, including portfolio governance, prioritization, delivery discipline, performance tracking, executive communications and leadership decision support. Develop scalable PMO standards, dashboards, templates, status reporting, and leadership materials that improve decision making and accountability. Drive transparency across the portfolio by creating a clear view of what is on track, what is at risk, where decisions are needed, and whether work is delivering intended business value. Facilitate steering committees, working sessions, leadership updates, decision forums, and escalation processes. Build trusted relationships with senior stakeholders and translate complex data, technology, and Finance topics into clear business implications. Partner with Change Management, Communications, Training, and Finance Enablement teams to support readiness, adoption, and consistent use of governed Finance data and reporting standards. 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 12 years of experience in program management, portfolio management, finance transformation, data platform delivery, enterprise technology, or related areas, with a track record of leading complex, cross-functional work from strategy through execution. 5 years leading complex, cross-functional enterprise programs with multiple stakeholders, workstreams, risks, dependencies, and executive visibility. Strong understanding of Finance processes, including FP&A, accounting, close, forecasting, reporting, financial planning, controls, and performance management with the ability to connect Finance business needs to data and technology delivery requirements. Experience with data platforms, data governance, analytics, reporting, BI, ERP modernization, or finance transformation initiatives including working knowledge of data quality, lineage, metadata, master data, controls, ownership, stewardship, and common data definitions. Experience with tools such as Oracle EPM, EDM, Workday, AWS, Snowflake, Databricks, Power BI, Tableau, Jira, and Confluence. Proven ability to manage large programs with multiple stakeholders, risks, dependencies, and executive visibility. Strong executive communication skills, including concise, decision-oriented updates and materials. Experience in a PMO, Transformation Office, Strategy Office, Finance Operations, or similar delivery function. Ability to influence without authority and drive alignment across Finance, Technology, Data, and business teams. Strong prioritization, facilitation, problem-solving, and organizational skills. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,600 to $273,200 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

Lead Technical Program Manager - GenAI Platform

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 Visa is hiring an experienced Technical Program Manager to help build, operate, and evolve Visa's GenAI Platform, which provides centralized AI model inferencing capabilities for teams and applications across Visa. The GenAI Platform enables enterprise use of generative AI across multiple models and hosting environments, including on-premises infrastructure and third-party providers. The platform must operate globally at scale while meeting the performance, privacy, operational, and compliance requirements of a global financial services company. The TPM will work closely with product management, engineering, architecture, infrastructure, privacy and compliance stakeholders, third-party hosting and model providers, and teams across Visa to define platform capabilities, drive complex technical programs, and manage the lifecycle of AI models offered through the platform. The role will also help advance how Visa uses AI through capabilities such as intelligent model routing, performance optimization, and more efficient use of models and tokens. Key Responsibilities: GenAI platform development: Drive major initiatives to build and evolve Visa's centralized inference platform. Work across engineering, architecture, infrastructure, and platform consumers to translate platform needs into clear, executable programs. Global scale and performance: Drive programs to scale the platform for global use across Visa. Partner with engineering to optimize inference performance, capacity, resilience, and operational efficiency as adoption and workloads grow. Model hosting and infrastructure: Coordinate programs supporting multiple model deployment and hosting approaches, including on-premises model hosting and third-party infrastructure. Develop sufficient technical depth to understand architecture, infrastructure, capacity, performance, and operational dependencies and drive them to resolution. Model onboarding and lifecycle: Drive the end-to-end process for bringing new AI models onto the platform and managing them through their lifecycle, including technical integration, evaluation, operational readiness, ongoing management, and required compliance activities. Third-party providers: Coordinate technical and operational dependencies with external model and hosting providers. Ensure provider capabilities, changes, constraints, and dependencies are understood and incorporated into platform plans. Privacy and compliance: Partner with engineering, privacy, compliance, and other stakeholders to ensure the platform, models, and operating processes support the privacy and compliance requirements associated with deploying and operating generative AI within a global financial services company. Advanced AI capabilities: Work with engineering and architecture to research and develop emerging platform capabilities such as intelligent model routing and other techniques that improve model selection, performance, efficiency, and application outcomes. AI efficiency and cost optimization: Drive initiatives that improve the efficiency of AI usage across Visa, including reducing unnecessary token consumption, optimizing model selection and application usage patterns, and identifying opportunities to lower inference costs while meeting application requirements. Platform adoption: Work with teams across Visa integrating with the GenAI Platform to understand their requirements, identify common needs, remove adoption barriers, and translate recurring needs into scalable platform capabilities. Problem definition and success criteria: Establish clear problem statements, scope, expected outcomes, and measurable success criteria for major platform initiatives. Build shared understanding across stakeholders before significant engineering work begins. Technical program planning and execution: Translate complex platform initiatives into clear requirements, dependencies, milestones, success criteria, and execution plans. Drive programs across organizational boundaries from ambiguity through production delivery. Cross-team dependency management: Identify and manage dependencies across the GenAI Platform, infrastructure teams, third-party providers, platform consumers, and other Visa technology organizations. Platform operations and maturity: Partner with engineering to continually improve the reliability, observability, quality, performance, and operational maturity of the platform and the models it provides. Engineering effectiveness: Drive improvements in engineering planning, automation, quality, delivery practices, and metrics. Help identify opportunities to use AI to improve engineering productivity. Risk and issue management: Identify technical, delivery, privacy, compliance, provider, and organizational risks early. Establish clear ownership and drive cross-functional issues to resolution. Stakeholder communication: Provide clear, concise communication about priorities, technical decisions, dependencies, delivery status, and risks to engineering teams and senior stakeholders. Expectation management: Ensure engineering plans and platform commitments reflect technical realities, dependencies, and available capacity. Maintain alignment among platform consumers, product management, and engineering. 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 Education. Master's degree in computer science, engineering, data science, artificial intelligence, or a related technical or quantitative field is required. Engineering background. You have built software or operated complex technical systems. You can read architecture diagrams, understand API contracts, reason about distributed systems and data flows, and have substantive technical conversations with engineers as a peer, not a spectator. Delivery track record. You have driven complex, cross-team engineering programs from ambiguity through production delivery, including planning, dependencies, risks, integration, and operational readiness. Technical depth. You can develop a strong working understanding of AI model serving, infrastructure, APIs, capacity, performance, observability, and application integration without needing to be the engineer designing each component. Platform mindset. You understand the challenges of building shared technology platforms used by many engineering teams and can distinguish individual application requirements from capabilities that belong in a reusable enterprise platform. Scale and operations. You understand the challenges of operating large-scale, globally distributed technology platforms and can drive programs spanning performance, capacity, reliability, and operational maturity. Cross-functional leadership. You can drive complex programs involving engineering teams, internal stakeholders, and external technology providers without relying on direct organizational authority. Communication. You can translate engineering complexity into business impact and business needs into clear technical outcomes. AI research and decision-making. Academic or research experience focused on the practical application of artificial intelligence, particularly the use of AI in decision-making, optimization, or complex problem solving. Advanced academic work in artificial intelligence, machine learning, or related disciplines. Experience with generative AI, large language models, AI platforms, model inference, or machine learning infrastructure. Experience building or operating technology in a regulated environment. Technical depth in one or more of the following: AI/LLMs, model serving and inference, APIs and distributed systems, cloud and on-premises infrastructure, Kubernetes, platform engineering, CI/CD and DevOps, observability, performance engineering, analytics, or developer tooling. Experience with Visa or the payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,300.00 to $ 307,600.00 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 . click apply for full job details

  • Belmont, CA

  • no content

Local Delivery Truck Driver (Class A or B CDL)

Burkhart Enterprises, Inc. is currently seeking a Class A or B CDL Local Delivery Truck Driver in the Knoxville, TN, area. Drivers with experience pulling pneumatic tanks, flatbed trailers, or dump trucks are preferred but not required. As a Burkhart Enterprises truck driver, you will drive within a 300-mile radius of Knoxville. You will be home on nights and weekends. The benefits of working with us include: Excellent pay Safety bonus Longevity bonus Paid Holidays Paid Vacations High driver retention rate Requirements: High school diploma or equivalent 2 years of truck driving experience Class A or B Commercial Driver's License (CDL) Responsibilities: Pre-trip Inspections Load securement ELD compliant Reporting of vehicle repair needs following applicable state and federal regulations. Highway safety Customer service Skills: Knowledge of relevant equipment, policies, procedures, and strategies to promote effective local, state, or national security operations for the protection of people, data, property, and institutions. Managing one's own time and the time of others. Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems. Monitoring/assessing the performance of yourself, other individuals, or organizations to make improvements or take corrective action. About us: Burkhart Enterprises, Inc. is a third-generation company that has diligently continued to improve and expand its business over the past six decades. Truck transportation is a major operation at Burkhart Enterprises. This part of the organization supports all our other operations & brings them together as a cohesive process. Our operations include: A loading & unloading facility. A rail facility with 2000 rail, bottom dump pit, 32 car capacity. Privately owned river port where loaded barges are offloaded using two large excavators equipped with clamshell buckets. A 1250 Komatsu & 1000 Komatsu. A 100-ton Northwest crane is also available for heavier lifting. Various other equipment, such as loaders, tandem trucks & forklifts, augment the barging operation. Our equipment includes: Late-model Mack tractors Aluminum flatbed trailers Aluminum dump trailers Pneumatic tankers We are an Equal Opportunity Employer.

  • Lonsdale, TN

  • 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. 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 Software Engineer - Full Stack

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 Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes. Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders. Participate in system design and architecture, refining code plans and contributing to design documentation. Contribute to project estimation and escalate issues that may cause delays. Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices. Apply debugging tools to verify assumptions and proactively flag issues before they occur. Participate in code reviews to ensure coding standards are followed and address routine pull requests. Create test plans and configure testing procedures to identify and resolve defects for multiple features. Respond to support requests during on-call rotations, troubleshooting issues and deploying fixes under guidance. Leverage and build knowledge of software developer tools to create, debug, and maintain code for components. Remain current in skills by investing time in training resources to improve product availability, reliability, efficiency, observability, and performance. This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). 3 years of relevant work experience and a Bachelor's degree, OR 5 years of relevant work experience. Experience in technologies/software systems or a directly related field (minimum two years). Experience in developing and/or implementing web-based applications including front-end and backend (minimum two years). Experience in system design and architecture for product components. Experience in debugging and troubleshooting software issues. Experience in code review and applying coding standards. Experience in test planning and execution for software features. Experience in responding to support requests and deploying fixes. Experience in using software developer tools for code creation and maintenance. Experience in Compliance is a plus Experience building and testing enterprise-scale web services (minimum one year). Experience working on client-facing project or technical teams (minimum one year). Experience in integrating feedback into design and solution fixes. Experience in mentoring junior engineers and collaborating with cross-functional teams. Experience with Generative AI (GenAI) - LLM agents, RAG systems, NLP, AI assisted investigations Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,000.00 to $ 190,900.00 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

Director, Risk Business Partner - Risk & Security Solutions (RAS)

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 Shape the Future of Risk, Fraud, and Identity at Visa Visa's Product and Payment Services Risk (PPSR) organization is seeking a highly strategic and technically adept risk leader to serve as the primary Risk Business Partner supporting Risk and Security Solutions (RAS). This role sits at the intersection of enterprise risk management, fraud prevention, data analytics, product innovation, and business strategy. As a trusted advisor to senior executives, you will influence critical decisions that shape Visa's risk posture across a portfolio of market-leading risk, fraud, identity, authentication, and data-driven solutions. You will partner directly with business leaders, product organization, technology teams, and cross-functional stakeholders to proactively identify emerging risks, challenge assumptions, enhance controls, and support strategic growth initiatives. This individual will be expected to bring strong enterprise risk expertise, deep strategic thinking capabilities, and a thorough understanding of payments, fraud ecosystems and data-driven products. The ideal candidate is viewed by executive leadership as a thought leader who can translate complex risk concepts into actionable business insights while driving strategic decision-making across a rapidly evolving risk and payments landscape. What You'll Do Strategic Risk Leadership Serve as the primary risk advisor to the Risk and Security Solutions organization, influencing business strategy, product development, operational execution, and long-term growth initiatives. Partner with executive leadership to identify, assess, monitor, and mitigate key enterprise, operational, technology, model, regulatory, and strategic risks. Develop and maintain a forward-looking view of emerging risks impacting fraud management, digital identity, authentication, data products, AI/ML capabilities, and payment ecosystems. Assess strategic initiatives, partnerships, and business transformations through a risk lens while enabling responsible innovation. Provide effective challenge and risk-based recommendations to senior executives to support informed decision making. Fraud, Data & Analytics Risk Expertise Partner closely with fraud, analytics, and product teams responsible for fraud prevention, risk scoring, identity verification, authentication, and machine learning solutions. Evaluate risks associated with data-driven products, AI/ML models, predictive analytics, fraud detection platforms, and automated decisioning capabilities. Identify potential control gaps, model risks, data governance concerns, operational vulnerabilities, and emerging fraud threats. Support risk oversight of data ecosystems, fraud models, identity solutions, and strategic analytics initiatives. Enterprise Risk Management & Governance Connect Visa's Risk Appetite Framework with business strategy, products, and operational objectives. Lead risk assessments for significant initiatives, product launches, and emerging business opportunities. Drive compliance and execution across enterprise risk programs, including: PRR RCSA TLMP Model Risk Management (MRM) Visa Data Assessment (ViDA) Develop both top-down and bottom-up risk views to provide meaningful risk insights to executive leadership. Strengthen first-line risk ownership and accountability through proactive partnership and governance. Executive Engagement & Influence Present risk themes, emerging threats, and portfolio-level risk insights to senior leadership. Develop risk narratives that enable strategic decisions and support business growth. Serve as a trusted thought partner to executives, helping balance risk management, innovation, customer experience, and commercial objectives. Drive leadership reporting, regulator engagement support, and risk committee materials. Change & Transformation Leadership Support large-scale strategic initiatives involving fraud technologies, identity solutions, AI-enabled capabilities, data modernization, and new business models. Lead efforts to enhance resiliency, operational effectiveness, governance, and controls maturity across the organization. Foster a strong risk culture by embedding risk management practices into business processes and strategic planning activities. This position is Hybrid role to be based in either our San Francisco, CA office locations. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications 10 years of relevant experience with a Bachelor's degree or 8 years of experience with an Advanced Degree (MBA, Master's, JD, MD) or 3 years with a PhD. Demonstrated experience in Enterprise Risk Management, Operational Risk, Technology Risk, Strategic Risk, or Product Risk. Exceptional communication, presentation, relationship management, and executive influence skills. Strong analytical and critical thinking capabilities. Experience working across large, matrixed, global organizations. Preferred Qualifications 12 years of professional experience within financial services, payments, fintech, technology, consulting, or digital platforms. 7 years supporting enterprise, strategic, technology, product, fraud, or operational risk functions. Experience supporting fraud, identity, authentication, AI/ML, analytics, or data product organizations. Proven ability to advise executive leadership on strategic risk decisions. Knowledge of Visa's payments ecosystem, fraud solutions, acceptance ecosystem, issuer solutions, and risk products. Experience partnering with product, engineering, data science, and analytics organizations. MBA, Master's Degree, FRM, CRISC, CISA, CFA, or equivalent professional certification preferred. Ideal Candidate Profile We are seeking a highly credible risk strategist who combines enterprise risk expertise with deep business acumen, technical curiosity, and a strong understanding of fraud, risk analytics, identity solutions, and data-driven products. This individual will serve as a trusted advisor to senior leadership, helping shape business strategy while ensuring risks are appropriately identified, measured, managed, and communicated across one of Visa's most critical growth portfolios. Information for US Applicants For roles located in the US, the estimated salary range for this position is $145,100 to $273,200 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