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It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The USA CIB Senior Data Analyst - Financial Planning & Analysis, Associate manages one or more processes, projects, or procedures within the FP&A functionality, with a strong focus on data, automation, and analytics enablement. The incumbent will provide well-analyzed and clearly defined recommendations on process improvements, leveraging modern BI and data tools while influencing others regarding FP&A policies, practices, and procedures * Develops, improves, and independently manages several processes (reporting, projects, systems, procedures, or products) within the FP&A structure, with an emphasis on data models, dashboards, and automated reporting pipelines. * Enhances the financial understanding of business lines, products, and segments by building Power BI dashboards, analytical models, and data transformations using Power Query and SQL to support reporting, forecasting, and decision making. * Designs and maintains end-to-end reporting solutions, from raw data ingestion (SQL / servers) to semantic models and executive-level dashboards. * Influences others regarding FP&A process policies, procedures, and practices, promoting data governance, standardization, and automation best practices. * Recommends industry and peer data sources to enhance reporting with benchmarks, supporting business cases through structured datasets and reusable models. * Coaches and reviews the work of lower-level professionals, helping them adopt Power BI, Power Query, SQL and automation best practices to execute the financial management function more efficiently. * Implements scalable solutions to existing problems using Python, SQL, Power BI, dbt models, and automated data workflows. * Delivers well-analyzed financial forecasts supported by robust data models and version-controlled transformations, aligned with the business strategic direction and budget. * Exchanges facts, statuses, ideas, and issues using data-driven storytelling and visualization, enabling faster and better executive decision-making. * Acts as a subject matter expert providing functional and technical guidance on data modeling, BI architecture, and analytics platforms. * Acts as a subject matter expert while providing leadership, guidance, and mentorship to other project managers and analysts on advanced analytics and reporting solutions. What You Bring: 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. * Bachelor's Degree or equivalent work experience: Computer Science, Data Analytics/Data Science, Business Analytics/Information Systems - Required. * Master's Degree: Business Administration, Accounting and/or Economics - Preferred. * 3+ Years Financial Planning and Analysis in the Banking or Financial Services Industry - Preferred. * Excellent verbal and written communication skills. * Ability to convey a sense of urgency and drive issues/projects to closure. * Ability to prioritize and manage multiple projects simultaneously. * Ability to listen and interpret the requirements of internal clients, plan accordingly, and exceed expectations. * Strong financial analysis, modeling, and problem-solving. * Demonstrated financial modeling knowledge and skills with strong analytical, qualitative, and problem-solving skills. * Excellent interpersonal skills with ability to build relationships at all levels of management. * Excellent leadership skills. * Strong Proficiency in SQL, DAX, Python, PowerPoint, Excel, Power BI * Strong experience in and knowledge of financial planning and analysis. * Ability to multi-task and meet strict deadlines. * Ability to effectively communicate complex financial transactions and strategies. * Ability to effectively interact with the market, executive management and vendors. * Detail oriented with the ability to research, organize and analyze financial data. * Spanish language proficiency preferred Certifications: * No Certifications listed for this job. It Would Be Nice For You To Have: * Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. * Experience in Power BI and database administration (Azure, Snowflake, DB Admin). Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $115,000.00 USD Maximum: $145,000.00 USD We Value Your Impact: Your contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. ___ Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs.

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: As a Lead Machine Learning Engineer in our Luxury Travel organization, you will architect the intelligent systems that power Capital One Travel's vision for the high-end market. You'll have the unique opportunity to transform complex data into bespoke, anticipatory experiences for our most discerning travelers. If you are a visionary technologist who thrives at the intersection of cutting-edge AI and human-centric design, and you're driven to redefine the gold standard of travel through innovation, this is the perfect role for you. What you’ll do in the role: 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 * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Chicago, IL: $179,400 - $204,700 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning 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 . 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 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).

About RapidScale: At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid cloud environments, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google Cloud, our solutions are built around business outcomes, cyber resilience, and operational excellence-backed by the strength of the Cox family of companies. Role Overview As the Senior Director of Solutions Architecture, you will lead RapidScale's national pre-sales and solution strategy organization for our cloud managed services business. You'll define how RapidScale designs, positions, and delivers cloud and modernization solutions across public cloud (AWS, Azure, GCP), private/hosted cloud, and hybrid environments, ensuring every architecture aligns to client outcomes and our managed service capabilities. You'll oversee regional and domain-aligned architecture leaders across Private Cloud, Public Cloud, AI, Data, Application, and Security practices - guiding them to create scalable, cost-optimized, and resilient solutions that bridge the gap between traditional IT and modern cloud operations. Your mission: elevate architecture from solution design to business value realization, ensuring RapidScale's offerings accelerate our clients' digital transformation and managed service adoption while driving revenue and margin growth. In this role, you will: • Define and execute the national Solutions Architecture strategy that underpins RapidScale's managed cloud and modernization business objectives, • Lead and mentor senior Solutions Architecture leaders and their teams, • Drive alignment between Sales, Marketing, Product, and Service Delivery, ensuring that every proposed solution is both technically sound and operationally supportable within RapidScale's managed service framework, • Engage with enterprise clients at the executive level, shaping cloud transformation roadmaps, modernization journeys, and financial justification (TCO/ROI), • Serve as the executive sponsor for strategic pursuits, partnering with Sales Executives and Product leaders to close complex, multi-million-dollar opportunities, • Evolve and standardize architecture methodologies to support repeatable, scalable solution design across all service lines (Cloud, AI, Data, Security, App Modernization), • Collaborate with Product and Operations teams to refine managed service offerings based on field and client feedback, • Represent RapidScale's technical vision at key industry events, partner summits, and client advisory boards, • Measure impact through KPIs - including technical win rates, attach rate of managed services, and architecture influence on revenue and gross margin What Technical Attributes We're Looking For in You • Deep expertise across public cloud (AWS, Azure, GCP) and hybrid cloud architectures (VMware, hosted private cloud, colocation, and edge), • Proven experience integrating managed services into solution architectures - from design through steady-state operations, • Familiarity with multi-cloud management, FinOps, and automation frameworks, • Strong understanding of AI/ML, data modernization, and application modernization patterns, • Executive-level understanding of security, compliance, and governance frameworks across regulated industries, • Ability to connect technical architecture to business impact, articulating how solutions reduce cost, improve agility, and enhance resilience What General Attributes We're Looking For in You: • Executive-level leader with a proven record building and scaling technical pre-sales and architecture teams within a managed service provider or consulting environment, • Strong commercial acumen with a focus on margin optimization, attach rates, and service adoption, • Strategic thinker who excels at translating technology capability into go-to-market differentiation, • Skilled at executive storytelling and influencing, able to engage both CxO audiences and technical decision-makers, • Passionate about developing technical talent and creating a culture of collaboration, accountability, and client obsession, • Comfortable driving change in a fast-paced, cross-functional, growth-oriented environment Minimum Qualifications • Bachelor's degree in a related discipline and 10 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 8 years' experience; a Ph.D. and 5 years' experience in a related field; or 14 years' experience in a related field15+ years of experience in cloud architecture, pre-sales engineering, or technical leadership roles, • 8+ years of experience leading large, distributed technical teams - including regional or national leadership Preferred Qualifications • Proven experience working in or with a cloud managed service provider, systems integrator, or large-scale consulting firm, • Demonstrated success driving architecture strategy, solution innovation, and technical sales enablement for managed or cloud services offerings USD 215,600.00 - 359,300.00 Compensation: Compensation includes a base salary in the range of $215,600.00 - $359,300.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. This role will support opportunities on the East coast. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. What does the Sales Solutions Architecture Team do? Sales Solution Architects work in partnership with Solutions Specialists (Sales Representatives) and serve as their technical counterparts in all phases of the sales lifecycle. From evangelizing technologies to demonstrating our feature-rich Cloud Reliability Platform, our job is to help customers figure out and solve their cloud initiatives. We do this by taking a consultative approach in our discovery and assessment phases with the output being solutions that are built with reliability, performance, and security baked-in on top of our Managed Cloud Portfolio. As an integral part of the Solutions Architecture team, you will design systems that are purpose-built and well suited to their target infrastructure. What You'll Do: As a Solution Architect you will: • Provide Pre-Sales technical support to the GTM Team to drive revenue and cloud adoption, • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements. This will include Well-Architected Reviews, Migration Readiness Assessments, Total Cost of Ownership (TCO) analysis, etc., • You will architect client solutions to meet client requirements using a well architected framework methodology, • Clearly communicate proposed architectures in the pre-sales cycle for early validation and verification to the internal teams responsible for implementing and providing ongoing support, • Be a technology evangelist and educate prospects and customers on the cloud solution that makes the most sense for their business and technology requirements, • Interface with Product Marketing and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements, • Collaborate in the creation of technical collateral (e.g. SOWs, HLDs), and help develop sales staff by providing formal training, • Produce cost and labor estimates and SOWs for potential projects, • Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies What Technical Attributes We're Looking for In You: • Relevant Industry-leading certification required: AZ-305 (Azure Solutions Architect - Expert), • Deep understanding of the following Public Cloud Platforms: Microsoft Azure, AWS, • Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, • Understanding of IAAS / PAAS / SAAS platforms; e.g. EC2, VMs, etc., • Understanding IaC tools; e.g. Puppet, Ansible, ARM/Bicep, Terraform, • Understanding of different Disaster Recovery and data protection principles, • Understanding of PCI, HIPAA, GDPR regulatory compliance frameworks, • Understanding of Relational and Non-Relational Databases (MySQL, Oracle, MS SQL Server, NoSQL), • Expertise in networking, compute, storage and OS fundamentals What General Attributes We're Looking for In You: Ideal candidate must be enthusiastic, a self-starter, and willing to step up to new challenges. Must be comfortable in the dynamic atmosphere of a technical organization with a rapidly expanding customer base. Minimum Qualifications: • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree, • Professional Level Public Cloud Certification (AWS, Azure, Google), • Background and experience working in the context of a sales team, • Strong presentation, written and verbal communication skills, • Strong analytical problem-solving ability, • High level of comfort communicating effectively across internal organizations, • Ability to speak at public events in front of large audiences is a bonus, • Fluency in English USD 155,200.00 - 232,800.00 Compensation: Compensation includes a base salary in the range of $155,200.00 - $232,800.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

Distinguished AI Engineer Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer 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, or Java Preferred Qualifications: * 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, 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 * 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 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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 . 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 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).

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer 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 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 . 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 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).

Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer 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 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 . 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 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).

Distinguished AI Engineer (Agentic AI Platform) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: * 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. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of 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, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders * K8s mastery (multi-region clusters, sericie mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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 . 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 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).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer 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 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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 . 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 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).

Job Description • Seeking Remote Candidates As a Senior Customer Success Manager (CSM) at ENow, you will serve as the primary strategic partner for a portfolio of enterprise customers, owning the post-sale relationship from onboarding through renewal and expansion. This role is designed for a customer-focused professional who is equally comfortable building trusted relationships and driving measurable commercial outcomes. Customer Success at ENow is directly accountable for retention, expansion influence, and long-term account growth. You will be empowered—and expected—to proactively identify risks and opportunities, align ENow’s solutions to customer objectives, and ensure customers realize tangible business value. A meaningful portion of total compensation is tied to performance outcomes such as renewal success, net revenue retention (NRR), and customer adoption. This is a fully remote role within the United States, with close collaboration across Sales, Product, Engineering, and Support. Key Responsibilities • Own customer retention and renewal outcomes across a defined book of enterprise accounts, with performance measured against gross and net revenue retention targets., • Serve as the primary point of contact and trusted advisor for customers, building strong relationships with IT, security, and business stakeholders., • Lead onboarding and adoption efforts, ensuring customers achieve value quickly and continue to expand their usage of ENow’s solutions., • Develop and execute account success plans that tie customer goals, usage, and milestones directly to renewal and growth outcomes., • Proactively identify expansion opportunities, partnering with Sales and leadership to drive incremental revenue aligned to customer value., • Conduct regular health checks, success reviews, and executive touchpoints to anticipate risks, surface opportunities, and reinforce ROI., • Act as the voice of the customer internally, advocating for customer needs and providing feedback to Product and Engineering to influence roadmap decisions., • Manage escalations and complex issues with urgency and empathy, partnering cross-functionally to deliver timely resolution., • Forecast and report on account health, renewal risk, and expansion opportunities, maintaining clear visibility into revenue performance. You’ll be successful in this role if you: • Are motivated by clear goals, measurable outcomes, and performance-based incentives., • Take personal ownership of customer revenue outcomes—not just activity or engagement., • Balance strong customer advocacy with commercial accountability., • Are comfortable operating in a role where compensation meaningfully reflects impact., • Thrive in a remote-first environment, communicating clearly and proactively across distributed teams. Required: • 3–4+ years of experience in Customer Success, Account Management, Technical Account Management, or a similar customer-facing role within SaaS or enterprise software., • Strong familiarity with Microsoft ecosystems, including Microsoft 365, Entra ID, Azure, and related identity, security, or infrastructure concepts., • Experience working directly with—or selling into—IT and Information Security teams, with an understanding of their operational and security priorities., • Demonstrated success in roles where performance was tied to retention, expansion, or revenue-related outcomes., • Proven ability to manage executive-level relationships and influence decision-makers in a remote setting., • Strong written and verbal communication skills, with excellent organization and follow-through., • Comfort working cross-functionally with Sales, Product, Engineering, and Support teams in a distributed environment., • Bachelor’s degree in Business, Information Technology, Computer Science, or related field., • Experience in a high-growth or early-stage SaaS environment., • Familiarity with CRM and Customer Success platforms (e.g., Salesforce, Gainsight, Totango). The salary range for this role is $90,000 - $100,000. This position also offers significant earning potential through on-target earnings (OTE). ENow offers a competitive total rewards package which includes base salary and a comprehensive benefits & perks package. Exact compensation is determined based on a number of factors including experience, skill level, location, and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. In addition to the salary range listed, this role offers a meaningful, performance-based variable component. A significant portion of total compensation (typically around 30%) is tied to measurable outcomes such as customer retention, net revenue retention (NRR), adoption milestones, and strategic account impact. Top performers are rewarded for ownership, execution, and delivering real value to customers. #hc226652

Channel Manager Location: Brooklyn, NY (Hybrid) Experience: 5+ years in Channel Sales, Partnerships, or Cloud Ecosystem Management (AWS/GCP/Azure preferred) About North The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud infrastructure. As AI accelerates demand for scalable compute, cloud costs are rising fast, yet most teams still manage them in spreadsheets. At North, we’re building the next-generation cloud spend management platform. We give companies real-time visibility, control, and automation over their cloud finances, so they can grow efficiently without waste. We work across AWS, GCP, and soon Azure, helping technical and finance teams optimize commitments, allocate costs, forecast spend, and automate savings. Backed by top-tier investors and trusted by customers like Brave, The New York Public Library, and SumUp, we’re assembling a world-class team to redefine how businesses manage cloud infrastructure. About the Role We’re hiring our first Channel Manager to build and scale North’s reseller and distribution strategy. This role will own entry, onboarding, and relationship management for cloud resellers, distributors, and strategic ecosystem partners. You’ll design how North works with channel partners from the ground up, defining incentives, enablement, deal flow processes, and ongoing relationship strategy. This is a high-ownership, builder role. You won’t inherit a mature channel machine, you’ll create it. You’ll work closely with the CEO, GTM leadership, Sales, and Product to ensure our partner ecosystem becomes a scalable revenue engine. What You’ll Do Build the Channel Motion (0→1) • Design and implement North’s reseller and distribution strategy., • Identify and prioritize ideal partner profiles (AWS/GCP/Azure resellers, MSPs, FinOps consultants, distributors)., • Define partner tiers, incentives, and compensation structures., • Recruit and onboard new channel partners., • Build training materials and sales enablement resources., • Ensure partners understand North’s product, positioning, and differentiation., • Serve as the primary point of contact for reseller and distribution partners., • Conduct quarterly business reviews (QBRs) and pipeline check-ins., • Track partner-sourced revenue and performance metrics., • Collaborate with Sales on partner-sourced and partner-assisted deals., • Deepen relationships within AWS, GCP, and Azure partner ecosystems., • Identify co-marketing and co-selling opportunities., • Represent North at ecosystem events, partner summits, and industry conferences. What We’re Looking For • 5+ years in channel sales, partnerships, or ecosystem management., • Experience working within AWS, GCP, or Azure partner ecosystems., • Experience building or scaling a reseller/channel program. Strong understanding of cloud infrastructure and SaaS revenue models., • Comfortable owning revenue targets and partner-sourced pipeline., • Builder mindset — comfortable operating without rigid structure., • Excellent relationship management and negotiation skills., • Strong operational discipline with the ability to design repeatable systems., • Strong network within the cloud reseller ecosystem., • Based in NYC and excited to collaborate in-office (Hybrid, Dumbo Brooklyn). Nice to Have • Experience at AWS, GCP, Azure, or a major cloud reseller/distributor., • Background in FinOps, DevOps tooling, or cloud cost optimization., • Experience working in Series A–C SaaS environments., • Familiarity with marketplace motions (AWS Marketplace, etc.)., • Experience building partner compensation models from scratch. Why This Role Matters Channel will be a core revenue lever for North. As cloud spend grows and companies seek cost optimization partners, resellers and ecosystem relationships will play a critical role in how customers discover and adopt North. You’ll help define how we scale beyond direct sales, turning strategic partnerships into a predictable growth engine. Work Setup Hybrid role based in New York City, with an office in Dumbo, Brooklyn. Benefits • Unlimited PTO, • 16 weeks of paid parental leave (birthing parents receive an additional 4 weeks at 50% pay), • Two company-wide breaks per year: one around Labor Day and one at the end of the year, • Aetna Medical PPO plan with the majority of the premium covered by North, • Dental and vision insurance, • Flexible spending account (FSA) for health expenses and commuter benefits, • 30 day sabbatical every 4 years Compensation $130,000 – $175,000 base salary + performance-based variable Equity included (Comp structure flexible depending on seniority and channel experience.)

Job Description Job Title: Member Services Representative (Benefits Specialist) Department: Member Services The 32BJ Benefit Funds is growing, and we’re currently seeking mission-driven Benefit Specialists (Member Services Representatives) to join our team. We offer: • Competitive Salary coupled with a great work/life balance, • Prime Location - Flatiron District in Manhattan (NYC), • Comprehensive Health Package including medical, dental & vision coverage with no employee contribution to the premium for a family plan, • Pension Benefit that includes monthly employer contributions, • Retirement Benefit that includes 3% 401K employer contributions, • Professional Coverage/Reimbursement includes Tuition Reimbursement Program, • Paid Time Off including vacation, personal, and sick days, • Federal Paid Holidays – Up to 11 days off with pay, • And more... FLSA Status: Non-Exempt (Eligible for OT per business needs) Work Hours: 35 Total (Available shifts Monday-Friday 8:30am-6:00pm) About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. For 2023 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Through this technology investment, we have gathered and analyzed thousands of data insights to influence health insurance legislation and propose new health policy. Our efforts have galvanized many leaders and the consensus is there is plenty more work to be done. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Position Summary: After extensive paid training and under the supervision of the Member Services Call Center or Welcome Center Supervisor and MSR 2/3 Team, works as a Benefits Specialist for the Member Services Call Center or Welcome Center to assist participants with information for all the benefits offered by the Fund. Essential Duties and Responsibilities: • Collecting and analyzing data/information to resolve a problem in real time, at high volume standards., • Provide customer service to participants to resolve eligibility or Fund benefit issues., • Displayed proficiency in all processing systems: eligibility process, Health benefits and system, COOL/V3/DYNAMICS system, CRM/WF and vendor systems, • Displayed proficiency in all Funds (Health, Pension, Legal, SRSP, Shortman)., • Handling of inquiries through vendors, Medical, Optical, Pharmacy, Dental and Employee Assistance., • Follow workflows to resolve participant questions., • Representatives analyze and interpret customer phone and written correspondence., • Ongoing management of own inventory of work accumulated through Participant interactions/inquiries. These inquiries will involve customer complaints or inquiries on eligibility, enrollment, benefits and claims, and Pension related issues., • Operating computers with multiple information screens to research and resolve customer inquiries on line., • Representatives ensure that all processing meets or exceeds MSR Quality measurement objective and performance standards, including, but not limited to, handling and documentation., • Ability to effectively communicate to Participants., • Perform any other relevant, related or pertinent work or duties as requested or assigned. Qualifications: To perform the job satisfactorily, 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. As well, the candidate must be free of any disciplinary actions. Technical Skills: • Strong computer skills., • Detailed knowledge of benefits as displayed in training and determined through subject matter exams utilizing OneView, vendor systems, COOL/V3/DYNAMICS and CRM processing system., • Ability to prioritize work and meet deadlines., • A demonstrated capability to manipulate and use multiple software programs and macros simultaneously including Excel, Microsoft Word, Windows and Outlook applications., • Strong analytical, problem solving and decision-making skills., • Excellent organizational and prioritizing skills., • Strong ability to multitask., • Various work schedules available. Interpersonal Skills: • Strong oral and written interpersonal skills., • Demonstrated customer service orientation., • Ability to effectively operate in fast-paced work environment., • Excellent listening skills., • Detail oriented with excellent organization and communication skills., • Experience working directly with customers. Education and/or Experience: High School diploma, some college preferred; Health Care, Employee Benefits and/or Customer Service experience are strongly preferred. Bilingual Language Skills: Fluent in multiple languages is a plus, but not required. Reasoning Ability: Above average. Certificates, Licenses, Registrations: None Work Hours: 35 Total (Available shifts Monday-Friday 8:30am-6:00pm) Work Hours: 35 Total (Available shifts Monday-Friday 8:30am-6:00pm)

Job Description Job Title: Member Services Representative (Benefits Specialist) Extended Hours Differential Pay Added for Working Extended Hours Department: Member Services The 32BJ Benefit Funds is growing, and we’re currently seeking mission-driven Benefit Specialists (Member Services Representatives) to join our team. We offer: • Competitive Salary coupled with a great work/life balance, • Prime Location - Flatiron District in Manhattan (NYC), • Comprehensive Health Package including medical, dental & vision coverage with no employee contribution to the premium for a family plan, • Pension Benefit that includes monthly employer contributions, • Retirement Benefit that includes 3% 401K employer contributions, • Professional Coverage/Reimbursement includes Tuition Reimbursement Program, • Paid Time Off including vacation, personal, and sick days, • Federal Paid Holidays – Up to 11 days off with pay, • And more... FLSA Status: Non-Exempt (Eligible for OT per business needs) Work Hours & Shift: 35 Total (Tuesday-Friday 12:00pm-8:00pm and Saturday 9:00am-5:00pm) Differential Pay Added for Working Extended Hours About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. For 2023 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Through this technology investment, we have gathered and analyzed thousands of data insights to influence health insurance legislation and propose new health policy. Our efforts have galvanized many leaders and the consensus is there is plenty more work to be done. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Position Summary: After extensive paid training and under the supervision of the Member Services Call Center or Welcome Center Supervisor and MSR 2/3 Team, works as a Benefits Specialist for the Member Services Call Center or Welcome Center to assist participants with information for all the benefits offered by the Fund. Essential Duties and Responsibilities: • Collecting and analyzing data/information to resolve a problem in real time, at high volume standards., • Provide customer service to participants to resolve eligibility or Fund benefit issues., • Displayed proficiency in all processing systems: eligibility process, Health benefits and system, COOL/V3/DYNAMICS system, CRM/WF and vendor systems, • Displayed proficiency in all Funds (Health, Pension, Legal, SRSP, Shortman)., • Handling of inquiries through vendors, Medical, Optical, Pharmacy, Dental and Employee Assistance., • Follow workflows to resolve participant questions., • Representatives analyze and interpret customer phone and written correspondence., • Ongoing management of own inventory of work accumulated through Participant interactions/inquiries. These inquiries will involve customer complaints or inquiries on eligibility, enrollment, benefits and claims, and Pension related issues., • Operating computers with multiple information screens to research and resolve customer inquiries on line., • Representatives ensure that all processing meets or exceeds MSR Quality measurement objective and performance standards, including, but not limited to, handling and documentation., • Ability to effectively communicate to Participants., • Perform any other relevant, related or pertinent work or duties as requested or assigned. Qualifications: To perform the job satisfactorily, 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. As well, the candidate must be free of any disciplinary actions. Technical Skills: • Strong computer skills., • Detailed knowledge of benefits as displayed in training and determined through subject matter exams utilizing OneView, vendor systems, COOL/V3/DYNAMICS and CRM processing system., • Ability to prioritize work and meet deadlines., • A demonstrated capability to manipulate and use multiple software programs and macros simultaneously including Excel, Microsoft Word, Windows and Outlook applications., • Strong analytical, problem solving and decision-making skills., • Excellent organizational and prioritizing skills., • Strong ability to multitask., • Various work schedules available. Interpersonal Skills: • Strong oral and written interpersonal skills., • Demonstrated customer service orientation., • Ability to effectively operate in fast-paced work environment., • Excellent listening skills., • Detail oriented with excellent organization and communication skills., • Experience working directly with customers. Education and/or Experience: High School diploma, some college preferred; Health Care, Employee Benefits and/or Customer Service experience are strongly preferred. Bilingual Language Skills: Fluent in multiple languages is a plus, but not required. Reasoning Ability: Above average. Certificates, Licenses, Registrations: None Work Hours & Shift: 35 Total (Tuesday-Friday 12:00pm-8:00pm and Saturday 9:00am-5:00pm) Differential Pay Added for Working Extended Hours Work Hours & Shift: 35 Total (Tuesday-Friday 12:00pm-8:00pm and Saturday 9:00am-5:00pm) Differential Pay Added for Working Extended Hours

Job Description Job Title: Member Services Representative (Benefits Specialist) Extended Hours Differential Pay Added for Working Extended Hours Department: Member Services The 32BJ Benefit Funds is growing, and we’re currently seeking mission-driven Benefit Specialists (Member Services Representatives) to join our team. We offer: • Competitive Salary coupled with a great work/life balance, • Prime Location - Flatiron District in Manhattan (NYC), • Comprehensive Health Package including medical, dental & vision coverage with no employee contribution to the premium for a family plan, • Pension Benefit that includes monthly employer contributions, • Retirement Benefit that includes 3% 401K employer contributions, • Professional Coverage/Reimbursement includes Tuition Reimbursement Program, • Paid Time Off including vacation, personal, and sick days, • Federal Paid Holidays – Up to 11 days off with pay, • And more... FLSA Status: Non-Exempt (Eligible for OT per business needs) Work Hours & Shift: 35 Total (Tuesday-Friday 12:00pm-8:00pm and Saturday 9:00am-5:00pm) Differential Pay Added for Working Extended Hours About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. For 2023 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Through this technology investment, we have gathered and analyzed thousands of data insights to influence health insurance legislation and propose new health policy. Our efforts have galvanized many leaders and the consensus is there is plenty more work to be done. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Position Summary: After extensive paid training and under the supervision of the Member Services Call Center or Welcome Center Supervisor and MSR 2/3 Team, works as a Benefits Specialist for the Member Services Call Center or Welcome Center to assist participants with information for all the benefits offered by the Fund. Essential Duties and Responsibilities: • Collecting and analyzing data/information to resolve a problem in real time, at high volume standards., • Provide customer service to participants to resolve eligibility or Fund benefit issues., • Displayed proficiency in all processing systems: eligibility process, Health benefits and system, COOL/V3/DYNAMICS system, CRM/WF and vendor systems, • Displayed proficiency in all Funds (Health, Pension, Legal, SRSP, Shortman)., • Handling of inquiries through vendors, Medical, Optical, Pharmacy, Dental and Employee Assistance., • Follow workflows to resolve participant questions., • Representatives analyze and interpret customer phone and written correspondence., • Ongoing management of own inventory of work accumulated through Participant interactions/inquiries. These inquiries will involve customer complaints or inquiries on eligibility, enrollment, benefits and claims, and Pension related issues., • Operating computers with multiple information screens to research and resolve customer inquiries on line., • Representatives ensure that all processing meets or exceeds MSR Quality measurement objective and performance standards, including, but not limited to, handling and documentation., • Ability to effectively communicate to Participants., • Perform any other relevant, related or pertinent work or duties as requested or assigned. Qualifications: To perform the job satisfactorily, 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. As well, the candidate must be free of any disciplinary actions. Technical Skills: • Strong computer skills., • Detailed knowledge of benefits as displayed in training and determined through subject matter exams utilizing OneView, vendor systems, COOL/V3/DYNAMICS and CRM processing system., • Ability to prioritize work and meet deadlines., • A demonstrated capability to manipulate and use multiple software programs and macros simultaneously including Excel, Microsoft Word, Windows and Outlook applications., • Strong analytical, problem solving and decision-making skills., • Excellent organizational and prioritizing skills., • Strong ability to multitask., • Various work schedules available. Interpersonal Skills: • Strong oral and written interpersonal skills., • Demonstrated customer service orientation., • Ability to effectively operate in fast-paced work environment., • Excellent listening skills., • Detail oriented with excellent organization and communication skills., • Experience working directly with customers. Education and/or Experience: High School diploma, some college preferred; Health Care, Employee Benefits and/or Customer Service experience are strongly preferred. Bilingual Language Skills: Fluent in multiple languages is a plus, but not required. Reasoning Ability: Above average. Certificates, Licenses, Registrations: None Work Hours & Shift: 35 Total (Tuesday-Friday 12:00pm-8:00pm and Saturday 9:00am-5:00pm) Differential Pay Added for Working Extended Hours Work Hours & Shift: 35 Total (Tuesday-Friday 12:00pm-8:00pm and Saturday 9:00am-5:00pm) Differential Pay Added for Working Extended Hours

Job Description Job Title: Member Services Representative (Benefits Specialist) Department: Member Services The 32BJ Benefit Funds is growing, and we’re currently seeking mission-driven Benefit Specialists (Member Services Representatives) to join our team. We offer: • Competitive Salary coupled with a great work/life balance, • Prime Location - Flatiron District in Manhattan (NYC), • Comprehensive Health Package including medical, dental & vision coverage with no employee contribution to the premium for a family plan, • Pension Benefit that includes monthly employer contributions, • Retirement Benefit that includes 3% 401K employer contributions, • Professional Coverage/Reimbursement includes Tuition Reimbursement Program, • Paid Time Off including vacation, personal, and sick days, • Federal Paid Holidays – Up to 11 days off with pay, • And more... FLSA Status: Non-Exempt (Eligible for OT per business needs) Work Hours: 35 Total (Available shifts Monday-Friday 8:30am-6:00pm) About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. For 2023 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Through this technology investment, we have gathered and analyzed thousands of data insights to influence health insurance legislation and propose new health policy. Our efforts have galvanized many leaders and the consensus is there is plenty more work to be done. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Position Summary: After extensive paid training and under the supervision of the Member Services Call Center or Welcome Center Supervisor and MSR 2/3 Team, works as a Benefits Specialist for the Member Services Call Center or Welcome Center to assist participants with information for all the benefits offered by the Fund. Essential Duties and Responsibilities: • Collecting and analyzing data/information to resolve a problem in real time, at high volume standards., • Provide customer service to participants to resolve eligibility or Fund benefit issues., • Displayed proficiency in all processing systems: eligibility process, Health benefits and system, COOL/V3/DYNAMICS system, CRM/WF and vendor systems, • Displayed proficiency in all Funds (Health, Pension, Legal, SRSP, Shortman)., • Handling of inquiries through vendors, Medical, Optical, Pharmacy, Dental and Employee Assistance., • Follow workflows to resolve participant questions., • Representatives analyze and interpret customer phone and written correspondence., • Ongoing management of own inventory of work accumulated through Participant interactions/inquiries. These inquiries will involve customer complaints or inquiries on eligibility, enrollment, benefits and claims, and Pension related issues., • Operating computers with multiple information screens to research and resolve customer inquiries on line., • Representatives ensure that all processing meets or exceeds MSR Quality measurement objective and performance standards, including, but not limited to, handling and documentation., • Ability to effectively communicate to Participants., • Perform any other relevant, related or pertinent work or duties as requested or assigned. Qualifications: To perform the job satisfactorily, 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. As well, the candidate must be free of any disciplinary actions. Technical Skills: • Strong computer skills., • Detailed knowledge of benefits as displayed in training and determined through subject matter exams utilizing OneView, vendor systems, COOL/V3/DYNAMICS and CRM processing system., • Ability to prioritize work and meet deadlines., • A demonstrated capability to manipulate and use multiple software programs and macros simultaneously including Excel, Microsoft Word, Windows and Outlook applications., • Strong analytical, problem solving and decision-making skills., • Excellent organizational and prioritizing skills., • Strong ability to multitask., • Various work schedules available. Interpersonal Skills: • Strong oral and written interpersonal skills., • Demonstrated customer service orientation., • Ability to effectively operate in fast-paced work environment., • Excellent listening skills., • Detail oriented with excellent organization and communication skills., • Experience working directly with customers. Education and/or Experience: High School diploma, some college preferred; Health Care, Employee Benefits and/or Customer Service experience are strongly preferred. Bilingual Language Skills: Fluent in multiple languages is a plus, but not required. Reasoning Ability: Above average. Certificates, Licenses, Registrations: None Work Hours: 35 Total (Available shifts Monday-Friday 8:30am-6:00pm) Work Hours: 35 Total (Available shifts Monday-Friday 8:30am-6:00pm)

Experience with Slack, Google technologies, Figma, Jira, Gitlab, Postman, Microsoft Azure, Jasmine/Karma, Cordova/Ionic, Rest APIs, Bootstrap, preferred.

Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics. Success in this role requires strong proficiency in ent

Everlight Solar is seeking a skilled MuleSoft Developer who will design and code functional API’s and applications, producing fully functional middleware applications according to requirements. As a Mulesoft Developer, you play a key role in serving our clients and team members. This will be a full-time, work-from-home "remote" position. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Everlight Solar is a rapidly growing company and the leader of solar energy in the Midwest. We offer a unique experience that fosters individual growth and rewards performance. Our culture at Everlight is extremely important to us. The work environment is fast-paced and dynamic. We value teamwork, quality, innovation, and customer success. Our ideal candidate is self-motivated, detail-oriented, has excellent problem-solving abilities, is passionate about delivering results on-time, exceeding expectations, and ensuring success for our teams. Responsibilities: • Ensure consistent alignment of API management to optimize usage, with a focus on improving and evolving the distribution process, and management., • Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards, • Creative and analytical thinker with strong problem-solving skills, • Ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish user requests from the underlying true needs, • Ability to assess the impact of new requirements on MuleSoft projects and all upstream and downstream systems and processes, • Review existing Mule integration logic and creating test collections, • Update project configuration and deployment settings, • Re-deploy APIs and integrations in the new hosting platform using Azure DevOps pipelines, • Assist with validation and testing efforts (including load/performance), • Minimum two years of experience as a MuleSoft Developer, • MuleSoft Developer Certification - Level 1 Certification Required, • MuleSoft Developer Certification - Level 2 Certification Preferred, • MuleSoft Certified Integration Architect - Level 1 certification Required, • 6 or more years of experience building REST and SOAP-based APIs using Mule ESB flows with API-led connectivity architecture., • 3 or more years of experience in Mule administration, configuration and tuning, and API configuration using RESTful web Service., • 6 or more years of experience in designing and developing Mule ESB projects using various connectors like HTTP, File, SFTP, DB, Transformers, DataWeave, • 6 or more years of experience in deploying of Mule ESB applications using Cloud Hub and experience in Integration using Mule ESB, • 6 or more years of experience in using Transformers, Filters, Flow Control, Collection splitters and Aggregators, Scatter- Gather etc., • 3+ years of experience in Agile Methodology & Scrum software development processes., • Hands-on experience in troubleshooting Mule ESB, including working with debuggers, flow analyzers, and configuration tools., • Excellent interpersonal, and analytical skills and strong ability to perform as part of a team., • Strong verbal and written communication skills., • Desired Skills and Experience (6 years of experience), • MuleSoft, API-led connectivity Architecture, REST, SOAP, • Strong understanding of the platform, with the ability to build custom API’s and other content of varying complexity, • Strong data management abilities, • A documented history of successfully driving projects to completion, • A demonstrated ability to understand and articulate complex requirements, • Excellent project management skills and a positive attitude, • Must demonstrate exceptional verbal and written communication skills, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • PTO, • Sick and Safe Time Everlight Solar is proudly an Equal Opportunity Employer. We value diversity of all types and are excited to work with talented individuals from a wide range of backgrounds. Everlight is committed to inclusion and we invite people of any race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, nationality or sex, age groups (18+), and levels of education to apply. Authorized to work in the US and background check required.

We are seeking a highly skilled and experienced Senior Guidewire ClaimCenter Engineer to join our dynamic team. The ideal candidate will have 10+ years of professional experience with a strong background in Guidewire ClaimCenter, Java, and Spring Boot. This role requires an individual who is not only proficient in implementing and customizing Guidewire solutions but also capable of reverse engineering existing codebases to enhance system functionality and optimize performance. Key Responsibilities: • Design, Develop, and maintain Guidewire ClaimCenter solutions tailored to business needs., • Reverse Engineer Existing Codebases to understand legacy implementations and propose improvements., • Collaborate with cross-functional teams, including business analysts, architects, and other developers, to deliver high-quality solutions., • Integrate Guidewire ClaimCenter with external systems using robust APIs and frameworks., • Ensure scalability, performance, and reliability of ClaimCenter implementations., • Troubleshoot and resolve complex technical issues in ClaimCenter and its integrations., • Contribute to the planning and execution of system upgrades, migrations, and performance tuning., • 10+ years of professional experience in software development with a strong focus on Guidewire ClaimCenter., • Expert-level knowledge of Guidewire ClaimCenter Configuration and Integration development., • Proficiency in Java (Java 21 preferred) with a solid understanding of object-oriented principles, design patterns, and modular programming., • Experience in Spring Boot (3.4.x preferred) for building RESTful APIs and microservices., • Proven ability to reverse engineer and analyze existing codebases to extract business logic and improve system design., • Strong understanding of Guidewire Data Model, Gosu scripting, and Guidewire Studio., • Hands-on experience with integration frameworks, including SOAP and REST APIs., • Knowledge of CI/CD pipelines and DevOps practices (e.g., Jenkins, Docker, Kubernetes) is a plus., • Understanding of Agile/Scrum methodologies and working within Agile teams. Preferred Qualifications: • Guidewire certification (e.g., ClaimCenter Specialist, Configuration Developer, Integration Developer) is highly desirable., • Experience with cloud platforms like AWS, Azure, or Google Cloud., • Exposure to modern front-end frameworks (e.g., Angular, React) for Guidewire add-ons., • Knowledge of performance tuning and optimization in Guidewire implementations., • Excellent communication and interpersonal skills.

Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. Posting Open Date: 2/13/2026 Anticipated Posting Close Date*: 4/13/2026 *Job posting may close early due to the volume of applicants. Customer Solutions Engineer Our customers are interested in optimizing their product delivery, global footprint, and user experience using the Fastly platform. You will be on the front lines of this adoption. Internally we title this role as a Fastly Cloud Engineer (CE) within the Fastly Revenue Organization. As a trusted customer advocate, the CE will help organizations understand various technologies such as Edge Computing and CDN architectures, as well as assisting them on efficiently migrating existing workload to Fastly, all while linking technology with measurable business value. You should be able to demonstrate technical ownership across assigned strategic customer accounts, bringing emotional intelligence and clear communication to all interactions and audiences (both technical and non-technical). With your technical expertise, you should act as a problem solver, identifying challenges and advocating solutions. At Fastly, we are looking for individuals who are passionate about technology and have an ongoing drive and capability to absorb and retain vast amounts of deep technical information. What You'll Do: * As the resident Fastly architect for your customer, you are an extension of the customer’s technical team, and represent and champion the customers needs within Fastly * Develop technical relationships with customers to build a deep understanding of their team, infrastructure, plans, and problems they are encountering * Post sales implementation of Fastly products, such as logging endpoints, image optimization and VCL coding while documenting key aspects of the customer’s configuration for troubleshooting and engagement * Investigate and recommend improvements to customers implementation and utilization of Fastly’s technology stack * Look for opportunities to introduce new Fastly products that compliment the customer’s needs * Partner internally to create customer strategies and assist in support requests or problems for assigned customers * Participate in regularly scheduled customer meetings on-site and by video/phone as necessary, including cadence calls and Quarterly Business Review meetings * Responsible for tracking and reporting on the health of your customer accounts, providing regular updates to Client Services leadership What We're Looking For: * 5 + years Pre-Sales or Post-Sales experience in Sales Engineering, Web Development, Customer facing DevOps Engineer, Technical Account Management, or Solutions Architect * This is a hands on role, you must be willing to roll your sleeves hop on the keyboard and tackle customer issues and requests * Understanding of networking, including, BGP, internet routing, and the difference between transit and peering * Understanding of HTTP/s, TCP, TLS, DNS, HLS, DASH, Load Balancing, Apache, NGINX * Hands-on experience with Linux and scripting languages/tools such as (Python, Sed, Awk, Perl, JSON, Ruby, GO, Node.js) * Experience with internet and cloud based architecture as well as an understanding of bare metal deployments as well as cloud environments such as AWS, Azure, and GCP * Empathy and understanding of the customer * Possess a comfort level with presenting and leading customer presentations and training * Strong interpersonal, communication and feedback (writing and verbal), critical thinking & analytical skills * Able to present technical concepts to various business stakeholders (technical and non-technical). Able to outline deliverables and business impact. * Capable and willing to travel for customer meetings as necessary * While most duties will be performed during normal business hours, there is an occasional requirement for a flexible schedule as necessary based on customer needs We’ll be super impressed if you have experience in any of these: * Experience with Varnish, Varnish Configuration Language * Streaming video/audio technologies or experience in e-commerce technologies/solutions * Experience in the CDN or cloud computing industries Work Hours: * This position will require you to be available during core business hours. * While most duties will be performed during normal business hours, there is an occasional requirement for a flexible schedule as necessary based on customer needs. Work Location(s) & Travel Requirements: This position is open to remote work locations, ideally on the East Coast US. This position may require travel as required by your role or requested by your manager. SF / LA Fair Chance Ordinance Statement Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Salary: The estimated salary range for this position is $104,830 to $125,796. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location. This role may be eligible to participate in Fastly’s equity and discretionary bonus programs. Benefits: We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings? We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. We also offer 401(k) (including company match) and an Employee Stock Purchase Program. For 2026, we offer 12 paid local holidays, 12 paid company wellness days. Why Fastly? * We have a huge impact. Fastly is a small company with a big reach. Not only do___ have a tremendous user base, but we also support a growing number of___. Outside of code, employees are encouraged to share causes close to their heart with others so we can help lend a supportive hand. * We love distributed teams. Fastly’s home-base is in San Francisco, but we have multiple offices and employees sprinkled around the globe. As a new hire, you will be able to attend our IN-PERSON new hire orientation in our San Francisco office! It is an exciting week-long experience that we offer to new employees to build connections with colleagues across Fastly, participate in hands-on learning opportunities, and immerse yourself in our culture firsthand. * We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. * We are passionate. Fastly is chock full of passionate people and we’re not ‘one size fits all’. Fastly employs authors, pilots, skiers, parents (of humans and animals), makeup geeks, coffee connoisseurs, and more. We love employees for who they are and what they are passionate about. We’re always looking for humble, sharp, and creative folks to join the Fastly team. If you think you might be a fit please apply! A fully completed application and resume or CV are required when applying. All job applications must be submitted through our official careers site at or @___ email address. Fastly is committed to ensuring equal employment opportunity and to providing employees with a safe and welcoming work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements and individual qualifications. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, family or parental status, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your Recruiter, or the Fastly Employee Relations team at ___ or 501-287-4901. Fastly collects and processes personal data submitted by job applicants in accordance with our___. Please see our___.

We’re looking for a Senior Software Engineer to build and scale the backend systems that power our AI agent. This role sits at the intersection of backend engineering, machine learning, and product, and is focused on turning AI capabilities into reliable, production-ready systems. You won’t be training models, but you will make them work in the real world. You’ll build APIs, services, and data systems that connect LLMs and ML models to user-facing experiences, ensuring performance, reliability, and scalability. • Design and build APIs and backend services that power AI-driven product experiences, • Develop systems that integrate LLMs and ML models into production workflows, • Build and maintain data pipelines supporting training, inference, and evaluation, • Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features, • Improve system performance, reliability, and scalability across services, • Contribute to experimentation and feedback loops that improve model and product performance, • Debug complex production issues and drive root cause resolution, • Raise the bar on code quality, system design, and engineering standards, • AI-powered features are reliably delivered through scalable, well-architected backend systems, • ML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptime, • Clear, maintainable APIs and services enable fast iteration across engineering and product teams, • Systems are designed with strong observability, enabling rapid debugging and improvement, • Engineering decisions consistently balance speed, quality, and long-term scalability, • 5+ years of experience in software engineering, with strong backend focus, • Strong proficiency in Python and experience building production-grade systems, • Experience designing APIs and service-oriented architectures, • Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar), • Familiarity with databases (SQL and/or NoSQL) and data-intensive systems, • Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure, • Exposure to containerization and orchestration (Docker, Kubernetes), • Ability to operate in ambiguity and take ownership of loosely defined problems, • Strong product mindset with focus on real user outcomes, • Clear communication and ability to collaborate across engineering, ML, and product The expected base salary range for this role is $200,000–$225,000 USD and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: • Equity in the form of stock options, • Medical, dental, and vision coverage, • 401(k) plan, • Flexible PTO and company holidays, • Fully remote work within the United States, • Periodic company offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The impact you can have To sustain the growth of our customer portfolio and to extend our services offering, we are looking for Support Engineers. On top of joining a fast-growing and innovative company, you will have the opportunity to assist our customers around the world in deploying/using our solutions and adopting software engineering best practices as a whole. As a Support Engineer, you will contribute to Sonar products adoption and integration. You will provide an individualized level of service to our customers. You will guide them in finding the right implementation and advocate the best way to use our products. You will also investigate and solve customer issues in a timely manner. In Sonar, you will represent the customer voice in product discussions. • Help customers integrate our solutions across their development pipeline. It means helping with the technical integration with developer IDE, ALMs, and Continuous Integration chain; the integration to software lifecycle (SCM, build, test), and the integration to existing business applications (identity provider, database, etc.)., • Drive technical issues to resolution: from the qualification of customer concerns to conducting an in-depth technical investigation and managing customer relationships all along the way., • Collaborate with Sales and Consultants to improve overall customer experience and make sure that our Service offering brings maximum value to our customers., • Work with the rest of the team to listen, challenge, and refine customers feedback to feed discussions with product teams and shape product evolutions., • Have a voice in enhancing the way we work., • Software engineering best practices, with at least 3-5 years of experience in supporting, or maintaining and delivering high-quality software., • 2+ years experience using or administrating a DevOps pipeline: SCM (e.g. Git, SVN), IDE (e.g. Visual Studio, IntelliJ), CI (e.g. Jenkins Pipelines, Azure DevOps, BitBucket, GitLab). More than acronyms, these are the tools that our customers use and that our products integrate with., • Working knowledge of both local and cloud-based software deployment platforms and technologies, including Linux, Windows, Docker, Kubernetes, AWS, Azure, • Investigation skills to understand problems in their context and the ability to reproduce these scenarios., • Team player, receiving and giving feedback as well as sharing knowledge., • Can-do attitude: challenging status quo, leading and contributing to key improvements and innovations., • Excellent English, verbal/written communication skills, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization., • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances., • We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk., • Generous discretionary Company Growth Bonus, paid annually., • Commuting: Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription., • Global workforce with employees in 20+ countries representing 35+ unique nationalities., • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.

Remesh - San Francisco, New York City or Remote (must be in the United States) Full-time 10 to 50 employees · Internet Originally posted March 05, 2026; this is a 100% remote, full-time role Remesh Operates on a 4 Day Work Week (4DWW) About Us! Remesh was founded in 2014, with a mission to build a platform that can help people truly understand each other — whether that's consumers, employees, or constituents. To date, we have raised over $65 million to execute this mission. We are excited to be disrupting the $70+ billion insights industry. Remesh allows you to have a live conversation with your audience at scale, using AI to analyze and organize their responses in real-time. Through this process, our customers are able to quickly draw out actionable insights as they engage hundreds of participants simultaneously. As a result, customers are able to gain fast, frequent, and efficient insights and make decisions with confidence. About the Role As a Software Engineer at Remesh, you will be scaling a revolutionary means of communication and helping to change the way we understand people. You will build, maintain, and test new and existing features using modern AI-assisted development workflows. You will be working with a cross-functional team of product managers and engineers (also at times, our Go-to-market teams) to improve existing features, build new ones, and scale our platform to serve more users and use-cases. We are transitioning to an AI-first development workflow, leveraging tools like Claude Code, Cursor, and similar AI coding assistants to accelerate development and improve code quality. The successful candidate will be comfortable working alongside AI tools, have experience with or enthusiasm for AI-assisted development, but absolutely needs to possess strong critical thinking, problem-solving, and reasoning skills. • Writing, maintaining, and testing code, • Leveraging LLMs and AI coding assistants to accelerate development velocity while maintaining high code quality standards, • Identifying and resolving issues, bugs, and requests efficiently with AI-augmented debugging and analysis, • Collaborating with product managers and designers to build engaging features for our users, • Collaborating with your team to design, develop, and maintain scalable, robust, and efficient software solutions which will leverage 3rd party APIs (e.g. LLMs) into our product to provide our customers with new and exciting features, • Building and integrating AI agents and agentic workflows into our platform and development processes, • Supporting our internal teams with engineering expertise, • Collaborating with other engineers to improve our codebase and the architecture and systems supporting it, • Contributing to and refining our AI-first development practices and tooling, • Working with other engineers to build complex features, • 3-5 years of professional software development experience, • 3+ years of proficiency in JavaScript or TypeScript, • 2+ years of proficiency in one of the following: Python, Ruby, Java, Go, or Rust, • Experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar), • Ability to effectively prompt and collaborate with LLMs to accelerate development, • 2+ years of experience with common web technologies, frameworks, and paradigms, • 2+ years of experience applying fundamental software engineering concepts, conventions, and best practices, • 2+ years of experience with unit tests and testing best practices, • Strong critical thinking skills to evaluate and refine AI-generated code, • Experience developing on one of the following cloud platforms: Google Cloud Platform, AWS, Azure, • 5+ years of professional software development experience, • Experience building, deploying, or integrating AI agents and agentic systems, • Experience with Python and Django, • Experience with Kubernetes and Docker, • Experience with React, • Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases, • Four Day Work Week (4DWW), • Sabbatical Leave Available, • Medical/dental/vision coverage, • Work from anywhere in the US!, • Remesh Equity, • 401k Retirement Plan, • $500 one-time use work from home allowance (WFH), • $150 monthly stipend WFH stipend, • 28 days of PTO annually, • $150K USD to $170K USD

Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. Interested candidates are invited to submit a comprehensive

At Gopuff, our engineering team is redefining how people access their everyday essentials. We’re building innovative solutions that enable customers to get everything from snacks and ice cream to household items and beer—delivered in minutes, with just a tap. As a Software Engineer II on the Delivery Technology team, you’ll play a key role in developing and maintaining the services and features that power our Driver App. You’ll work closely with product managers, engineers, and stakeholders across the company to make thoughtful, scalable technology decisions that support our growing business. Your success will be measured by your contributions to delivering reliable, scalable solutions, making thoughtful design tradeoffs, and writing high-quality, production-ready code. You’ll also contribute to raising engineering standards within your team and beyond. Although we're open to Remote employees, individuals commutable to our Philadelphia, PA or Aventura, FL locations will receive preferential treatment (Tuesday - Thursday onsite). • Collaborate on cross-functional projects in an agile environment, • Build, deploy, and maintain high-quality, production-ready mobile applications, • Adhere to best development practices, including idiomatic syntax, design patterns, and test-driven development, • Implement and monitor analytics to ensure mobile app performance and business process accuracy, • Troubleshoot and support mobile applications in production to ensure reliability and correctness, • Participate in team on-call rotations as needed, • Conduct and contribute to code reviews and provide feedback on system and mobile app design, • Production experience with Flutter and Node.js, • Familiarity with AI-powered development tools like Cursor and GitHub (Copilot is a plus), • Hands-on experience with public cloud platforms (Azure or GCP) in a production environment, • Strong understanding of operations, monitoring, and deployment practices for distributed systems, • Bachelor’s degree in Computer Science or equivalent practical experience, • 2+ years of experience in mobile application development, • Proficiency in developing and maintaining mobile applications (iOS, Android, or cross-platform), • Solid understanding of object-oriented programming principles, • Experience building scalable, high-performance systems, • Experience designing and working with APIs and extensible architectures, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

Position Title: Senior Data Product Analyst Location: New York, NY (3 days onsite, 2 remote) Contract: 6 months + (likely extension) Pay range: $68 on W2 per hour Interview Mode: 1st round via Teams, 2nd round onsite in NYC Position Summary Our Fortune 500 client is looking for a Senior Data Product Analyst who will partner with business stakeholders, product leadership, and delivery teams to build, test, enhance, and support data products that meet operational and strategic business needs. This role is responsible for translating business objectives into clear requirements, supporting cross-functional collaboration, driving analysis and testing activities, and ensuring the successful delivery of high-quality data products. The ideal candidate is a highly analytical, people-centric professional who can bridge business and technical teams, manage competing priorities, and communicate effectively with stakeholders at varying levels of technical fluency. This person will serve as a key resource for business logic, requirements, documentation, testing, and ongoing product improvement. Key Responsibilities • Partner with stakeholders across the organization to gather, analyze, and define business and technical requirements for data products., • Translate business requirements into clear, actionable technical requirements for development and delivery teams., • Lead workshops, interviews, and working sessions to elicit requirements and align stakeholders around business objectives., • Create and maintain comprehensive Business Requirements Documents, process flows, workflow artifacts, customer journey maps, and related documentation., • Support product delivery by organizing and tracking work in a software ticketing system such as Azure DevOps, JIRA, or similar tools., • Manage multiple projects and priorities in a fast-paced environment while adapting effectively to shifting goals and business needs., • Collaborate with product, engineering, analytics, UX, and business teams to support the design, enhancement, testing, and operation of data products., • Develop and execute user acceptance testing materials, including test plans, test cases, and test scripts., • Analyze reports and business data to support decision-making, continuous improvement, and product enhancement efforts., • Create and analyze Salesforce and/or Power BI reports to support operational and strategic initiatives., • Proactively communicate project status, risks, issues, and dependencies to both technical and non-technical stakeholders., • Facilitate discussions that decompose complex business processes and drive consensus across cross-functional teams., • 3+ years of experience in business analysis, product analysis, data product support, data management, or related work in a digital or data-driven environment. Must Have • Ability to document business requirements and translate them into clear technical requirements., • Ability to make data-driven decisions and support business collaboration., • Ability to manage multiple projects and priorities in a fast-paced environment., • Ability to manage projects effectively and flexibly and adapt when goals or needs change., • Ability to organize work using a software ticketing system, • Preferred: Azure DevOps, • Also acceptable: JIRA or similar tools, • Ability to summarize technical concepts and clearly communicate them to non-technical stakeholders., • Demonstrated stakeholder management and cross-functional collaboration skills., • Excellent oral and written communication skills., • Experience creating and analyzing Salesforce and/or Power BI reports., • Experience designing, managing, analyzing, testing, or improving software systems., • Experience developing test plans, test cases, and scripts for user acceptance testing (UAT)., • Experience working in fast-paced, changing environments., • Experience working within a Scrum/Agile framework., • Proficiency in creating business process documentation and workflow artifacts., • Proven ability to create comprehensive Business Requirements Documents (BRDs) and manage requirements for complex data products., • Proven experience as a Business Analyst., • Self-sufficient individual who works collaboratively in multi-disciplinary teams., • Strong analytical, problem-solving, and communication skills., • Strong attention to detail and commitment to delivering high-quality results., • Strong facilitation skills with the ability to decompose complex business processes., • Experience with data visualization tools, analytics platforms, or data engineering concepts., • Familiarity with data governance, privacy, and compliance practices., • Knowledge of cloud data solutions and digital product development., • Project Management Professional (PMP), Certified Project Management (CPM), or Scrum/Agile certifications. Preferred Candidate Profile The ideal candidate is a strong business analyst with experience supporting data or digital product initiatives in a collaborative, fast-moving environment. They should be comfortable working across business and technical teams, creating detailed requirements documentation, supporting testing and delivery, and translating complex concepts into language stakeholders can easily understand. About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

Title: GEN AI Architect Location: Edison, NJ / New York, NY Duration: Full Time Job Description: Must Have Technical / Functional Skills • Architecture-level expertise in Python for enterprise GenAI solutions, • Design and implementation of large-scale GenAI platforms, • API and microservices architecture using FastAPI / Flask, • Deep experience with LLMs, Prompt Engineering, RAG, and Agentic AI, • Hands-on experience with LangChain, LlamaIndex, Hugging Face, • AI-enabled data pipelines and workflows, • Model lifecycle management, observability, and monitoring, • Responsible AI, data privacy, security, and compliance Good to Have Skills • Gemini LLM and multi-LLM orchestration, • ML frameworks: PyTorch, TensorFlow, Keras, • NLP and vector databases, • Cloud-native AI (AWS / Azure / GCP), • Docker, Kubernetes, • Presales and client-facing solutioning Roles & Responsibilities • Define end-to-end GenAI architecture, • Lead solution design and technical strategy, • Architect RAG and Agentic AI solutions, • Govern architecture standards and best practices, • Mentor engineers and review designs and code

Job Title: Splunk Cybersecurity Project Manager Location: Hybrid – New York, NY (3 days onsite / 2 remote) Duration: Contract – 12+ Months (likely extension) Pay Rate: $75 (W2) depending on experience Interview Process: 1st round via Teams, final round onsite in NYC Position Overview Our Fortune 500 client located in New York, NY is seeking an experienced Technical Cybersecurity Project Manager to support enterprise cybersecurity engineering initiatives focused on SIEM implementation, security monitoring, and threat detection capabilities. This role will work closely with cybersecurity engineering, infrastructure, cloud, and application teams to coordinate the implementation and expansion of enterprise SIEM platforms and related security initiatives. The ideal candidate combines strong project management discipline with technical understanding of SIEM technologies, enterprise logging, cloud observability, and security operations processes. This individual will play a key role in tracking project execution, coordinating engineering teams, managing dependencies, and ensuring successful delivery of scalable security monitoring solutions across the enterprise. This is a highly collaborative role requiring strong communication, technical coordination, stakeholder management, and delivery tracking skills within a fast-paced cybersecurity environment. Key Responsibilities Cybersecurity Project Delivery • Coordinate the planning, execution, and delivery of enterprise cybersecurity initiatives with a focus on SIEM and security monitoring platforms, • Work closely with cybersecurity engineering teams to track implementation progress, milestones, and deliverables, • Manage project timelines, dependencies, risks, and scope across multiple technical workstreams, • Partner with engineering teams to support deployment and scaling of Splunk Enterprise Security capabilities, • Coordinate onboarding of enterprise log sources including:, • Cloud platforms, • Operating systems, • Network devices, • Security tools, • Enterprise applications, • Support tracking of:, • Log ingestion, • Parsing, • Data normalization, • Detection use case alignment, • Develop and maintain detailed project plans, schedules, and milestones, • Provide regular status updates, executive reporting, and delivery dashboards, • Track risks, issues, and dependencies while facilitating resolution activities, • Coordinate with internal stakeholders, engineering leads, vendors, and external partners, • Facilitate cross-functional collaboration between:, • Security Engineering, • Infrastructure, • Cloud Engineering, • Application Teams, • Security Operations, • Support adherence to enterprise cybersecurity and project governance standards, • Assist with process documentation and operational coordination activities, • 5+ years of project or program management experience within cybersecurity or enterprise technology environments, • Strong experience managing technical implementation projects involving multiple engineering teams, • Hands-on experience supporting or coordinating SIEM or security platform implementations, • Experience with Splunk Enterprise Security or similar SIEM technologies, • Strong understanding of:, • Security monitoring, • Log management, • Threat detection, • Security operations concepts, • Familiarity with cloud environments including:, • AWS, • Azure, • GCP, • Oracle Cloud, • Strong stakeholder management, communication, and coordination skills, • Ability to manage multiple projects and priorities in fast-paced environments, • Experience with:, • Project tracking, • Risk management, • Executive reporting Must Have • Technical Project Management, • Cybersecurity Project Delivery, • Splunk / SIEM Platforms, • Microsoft Project, • Project Reporting & Tracking, • Cross-Functional Coordination, • Risk & Dependency Management, • Security Monitoring Concepts, • Splunk Enterprise Security, • Enterprise Logging & Observability, • Threat Detection & Incident Response, • AI Triage Agents / AI-driven Security Operations, • Cloud Observability Platforms, • Process Documentation The ideal candidate is a proactive technical project manager with strong cybersecurity delivery experience and the ability to coordinate highly technical engineering initiatives across enterprise environments. This person should be organized, detail-oriented, and comfortable managing multiple priorities while partnering closely with cybersecurity, infrastructure, cloud, and engineering teams to drive successful project outcomes. About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

HCLTech is looking for a highly talented and self- motivated SAP Program Director to join it in advancing the technological world through innovation and creativity. Job Title: SAP Program Director Job ID: 100293 Position Type: Full-time Location: Remote w/travel Overview We are seeking an experienced SAP Program Director to lead large-scale SAP transformation programs, ensuring successful delivery of complex initiatives aligned with business objectives. This role requires strong leadership, strategic thinking, and deep expertise in SAP ecosystems (e.g., S/4HANA, ECC, cloud integrations). Key Responsibilities • Program LeadershipLead end-to-end SAP programs, including S/4HANA implementations, migrations, and upgrades, • Define program strategy, roadmap, and execution plans aligned with organizational goals, • Oversee multiple project streams and ensure integration across workstreams, • Stakeholder ManagementEngage with C-level executives, business leaders, and IT stakeholders, • Act as the primary point of contact for program governance and escalation, • Communicate program status, risks, and outcomes effectively, • Delivery & ExecutionEnsure on-time, on-budget delivery of SAP programs, • Establish program governance, KPIs, and reporting frameworks, • Manage third-party vendors, system integrators, and consulting partners, • Financial ManagementOwn program budgets, forecasts, and financial tracking, • Ensure cost optimization while maintaining delivery quality, • Risk & ComplianceIdentify and mitigate risks across the program lifecycle, • Ensure compliance with internal policies and external regulations, • Drive quality assurance and testing strategies, • Team LeadershipLead cross-functional teams including functional, technical, and business resources, • Mentor program managers and project leads, • Bachelor’s degree in Information Technology, Business, or related field (Master’s preferred), • 15+ years of experience in SAP delivery, with at least 5+ years in program leadership roles, • Must have consulting experience, • Proven experience leading large SAP transformations (e.g., S/4HANA implementation or migration), • Strong understanding of SAP modules (FI/CO, MM, SD, etc.) and integration architecture, • Experience managing global, multi-million-dollar programs, • SAP certifications (e.g., S/4HANA, SAP Activate), • PMP, PgMP, or equivalent program management certification, • Experience with Agile/Hybrid delivery methodologies, • Strategic leadership and decision-making, • Program and portfolio management, • Risk management and problem-solving, • Financial and budget management, • Vendor and stakeholder management, • Excellent communication and negotiation skills Pay and Benefits Pay Range Minimum: $140,000 base per year Pay Range Maximum: $256,000 base per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Job Title: Senior Technical Agile Project Manager Location: New York, NY (100% Remote Role) Duration: 12+ Months Contract Pay Rate: $56-$66/hr (W2), depending on experience Interview Mode: 1st round via Teams. 2nd round onsite in NYC (despite being remote rote) NOTE: MUST BE ABLE TO ONBOARD FOR FIRST WEEK ONSITE IN NYC. REST OF ROLE IS REMOTE Position Overview Our Fortune 500 client located in New York, NY is seeking a Senior Technical Agile Project Manager to support enterprise Customer Engagement initiatives within the clients' Business Systems Delivery (BSD) organization. This role will lead the delivery of complex, cross-functional technology projects focused on Pega-based platforms, customer operations, and digital transformation initiatives. The ideal candidate will bring strong experience in Agile and hybrid delivery environments, with the ability to manage full project lifecycles from planning through implementation. This individual will work closely with Product Owners, engineering teams, and business stakeholders to drive execution, ensure alignment, and deliver high-quality solutions that meet both business and regulatory requirements. Key Responsibilities Project & Program Delivery • Plan, organize, and manage large-scale, cross-functional IT projects with significant business impact, • Develop and maintain project roadmaps, schedules, and work plans, ensuring alignment with business objectives, • Balance scope, schedule, budget, quality, and risk to drive successful project outcomes, • Lead and facilitate Agile ceremonies including daily standups, sprint planning, backlog grooming, and retrospectives, • Support Agile, Scrum, SAFe, and Waterfall delivery models as required, • Ensure adherence to SDLC and DevOps best practices, • Act as the primary point of contact for business stakeholders, product owners, and leadership teams, • Communicate project status, risks, and key decisions through reports, dashboards, and executive presentations, • Ensure compliance with Azure DevOps processes for tracking tasks, defects, and progress, • Define release scope and schedules, ensuring timely and reliable delivery of business value, • Identify and remove delivery impediments, escalating risks when necessary, • Lead and mentor project teams, defining roles and responsibilities to optimize performance, • Coordinate activities across internal teams, vendors, and subcontractors, • Identify opportunities for process improvement, reuse, and efficiency gains, • Define and maintain project management processes, standards, and best practices, • Strong experience as a Technical Project Manager / Agile Delivery Lead in enterprise environments, • Deep knowledge of Agile, Scrum, SAFe, Waterfall, SDLC, and DevOps methodologies, • Proven experience managing complex, cross-functional IT projects, • Experience with Azure DevOps for project tracking and delivery management, • Strong experience with API integrations and cloud-based project delivery (Azure preferred), • Demonstrated ability to manage stakeholders, risks, and competing priorities, • Excellent communication, facilitation, and leadership skills Must Have • Agile Delivery Leadership, • Technical Project Management, • API Integration, • Cloud Migration / Cloud Delivery Management, • Azure DevOps, • Product Roadmap Development & Communication, • Strong Stakeholder Management, • Experience with Pega platforms, • Experience in Customer Engagement or Utilities domain At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

Full Stack Software Developer (.NET & React, AI-Enabled SDLC) Location: Jersey City, NJ / Midtown NYC Type: Contract We are looking for a highly skilled Full Stack Software Developer with strong experience in .NET backend development and React frontend engineering, combined with hands-on exposure to AI-assisted software development tools and practices. This role will work closely with internal AI and engineering teams to help drive AI-enabled SDLC transformation initiatives, accelerate delivery, and improve software quality through modern AI-assisted development workflows. Key Responsibilities • Design, develop, and maintain scalable applications using .NET/C# and React, • Build modern APIs, backend services, and responsive frontend applications, • Utilize AI-assisted development tools such as Cursor, Claude Code, or similar platforms, • Apply AI across SDLC phases including coding, debugging, testing, and documentation, • Collaborate with AI, Product, and Engineering teams to refine AI-driven development frameworks, • Participate in Agile development, sprint planning, and rapid delivery cycles, • Support architecture discussions, technical design, and solution optimization, • 5+ years of Full Stack Development experience, • Strong expertise in:, • .NET / C# / ASP.NET Core, • React / JavaScript / TypeScript, • Experience with REST APIs and microservices architecture, • Hands-on experience with AI coding/development tools (Cursor, Claude Code, GitHub Copilot, etc.), • Strong understanding of Agile, DevOps, and CI/CD practices, • Experience with AI-assisted SDLC frameworks (BMAD or similar), • Exposure to prompt-driven development and automated code generation, • Cloud experience with Azure or AWS, • Hybrid onsite model: 3 days/week across Summit, NJ and Midtown NYC offices, • Collaborative environment focused on AI-driven engineering transformation

Role Overview We are looking for a skilled Data Scientist with strong experience in Time Series Forecasting, Predictive Analytics, and Machine Learning to join a leading analytics consulting engagement. The ideal candidate will have hands-on expertise in developing and deploying forecasting models for business and operational use cases. Key Responsibilities ● Develop, validate, and deploy time series forecasting models for business and operational planning. ● Work on predictive analytics and demand forecasting projects. ● Build ML-driven solutions using statistical and machine learning techniques. ● Analyze large datasets and derive actionable business insights. ● Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. ● Contribute to end-to-end model development lifecycle including feature engineering, model evaluation, deployment, and monitoring. ● Participate in client discussions and present analytical findings effectively. Required Skills ● Strong programming experience in: ○ Python ○ R ○ SQL / NoSQL ○ Spark ● Experience with Cloud Platforms: ○ AWS ○ Azure ○ GCP ● Hands-on experience in: ○ Time Series Forecasting ○ Predictive Analytics ○ Demand Planning ○ Statistical Modeling ● Experience with Python libraries/frameworks such as: ○ NumPy ○ Pandas ○ Scikit-learn ○ TensorFlow ○ BERT ○ Scrapy ● Strong understanding of: ○ Statistics ○ Hypothesis Testing ○ Machine Learning Algorithms Preferred Machine Learning Expertise ● Random Forest ● Neural Networks ● Decision Trees ● Logistic Regression ● K-Means Clustering ● Linear Regression ● PCA Domain Experience Experience in one or more of the following domains is preferred: ● Retail ● Banking ● Insurance ● Supply Chain / Demand Planning Qualifications ● 4–8 years of relevant industry experience. ● Strong communication and stakeholder management skills. ● Prior consulting/client-facing experience is preferred. ● Ability to work in a fast-paced analytics environment.

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs of the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customers demand. We are proud of our team and the culture we have built, which has led to our employees voting us “best places to work” – 15 years in a row. The role: SailPoint is seeking an Advisory Solution Consultant (pre-sales Solution Engineer) to support the US Northeast sales regions for Strategic accounts. You will partner with our sales teams by applying your technical abilities and business acumen in support of SailPoint’s growth objectives. Responsibilities: • Actively participate in the sales process and work closely with the direct and channel sales teams, • Discover and understand customer requirements and align our solutions to those requirements, • Present SailPoint business functions, value, and competitive differences, • Provide product demonstrations to prospective customers, • Assist in developing RFP responses in coordination with our RFP response team, • Participate in onsite and remote Proof of Value (POV) evaluations, • Provide feedback to Product Management on product enhancements Requirements: • 5+ years of professional experience as a pre-sales technical resource in an enterprise software company (B2B), • Excellent written and verbal communication skills, • A working knowledge of technical infrastructure, including web services, application servers, databases, virtualization, and directories is required, • Conversant in modern SaaS architecture and familiarity with IaaS platforms such as Azure/AWS/GCP, • Experience with APIs and API tools such as Postman, Agentic AI technology such as Amazon Bedrock AgentCore, Google Vertex, Azure Foundry, Salesforce Agentforce, etc., LLMs, MCP, RAG, Java, XML, LDAP, SQL, and JSON is desirable, • 3+ years working with Identity, Governance, and Access Management solutions is preferred Path to Success: Within the first 4 months, you will: • Learn the Identity Security and Identity Management space, • Participate in demo best practices training, presentation skills training, negotiation,, • Handle initial demos and discussions in IGA, • Attend Revenue Onboarding for a deep dive into Challenger Sales training, • Hone technical discovery skills through SE Scrum groups, • Pitch to Account Executives (AEs) to master messaging and build relationships, • Navigate internal relationships with Customer Success Managers, Product Management, Professional Services, and Partners, • Coordinate with AEs before and after client calls, tying what is presented back to business value Within 6 months to 1 year, you will: • Contribute to building new technical collateral for organization-wide use, • Grow familiarity with IT audit functions, regulatory frameworks, SOX, HIPAA, NERC-CIP, GDPR, and CCPA, • Speak at national or regional conferences and meetups, • Proactively network and build your own personal brand, • Articulate the business value of SailPoint as a strategic sale, • Communicate at the business level with clients outside of IT, such as HR, Finance, risk management, counsel, and lines of business, • Be fluent in the language of Identity Security Location: • Residence in any Northeast state is required., • We anticipate 25% travel and flexibility to travel within the US (primarily in the Northeast states) will be necessary. Education: • BA/BS or global equivalent, • 8 years of related experience Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $116,900 - $197,083.60 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance, 2. Disability coverage: Short-term and long-term disability, 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D), 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children, 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account, 6. Financial security: 401(k) Savings and Investment Plan with company matching, 7. Time off benefits: Flexible vacation policy, 8. Holidays: 8 paid holidays annually, 9. Sick leave, 10. Parental support: Paid parental leave, 11. Employee Assistance Program (EAP) and Care Counselors, 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options, 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that. The Company As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. Job Overview: We are seeking a highly skilled Senior Data Engineer - DBX Platform (ML & Feature Engineering Focus) with a strong software engineering background to join our AI/ML Engineering GSI IT Team. In this role, you will be focused on building a DBX-based data platform that powers machine learning and advanced analytics. This role is ideal for someone who thrives at the intersection of data engineering, ML infrastructure, and software development, and is passionate about enabling scalable, production-grade feature engineering pipelines. Key Responsibilities: • Build and optimize DBX ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources., • Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets., • Implement CI/CD pipelines, testing frameworks, and observability for data workflows., • Develop feature stores, metadata tracking, and lineage tools to support data Ops., • Ensure data quality, governance, and compliance across all data assets., • Optimize performance and cost-efficiency of DBX clusters and jobs for data workloads., • Contribute to the architecture and design of the data platform and feature engineering framework. Qualifications: • Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for DBX., • Expertise with libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, DBX, MLFlow, dvc, dbt) and the ability to select the right tools for the use case., • Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling., • Very good Azure and data & AI technology skills - specifically: DBX/ Python, Azure DBX Store, Azure AI Search., • Experience with DevOps practices, including Git, CI/CD using tools such as Azure Pipelines, or similar., • Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis., • Experience with Azure especially with data and ML services, containerization (Docker. Preferred Qualifications: • Advanced Degree: Master's degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience., • Experience with Big Data: Strong proficiency with big data technologies such as Azure DBX and Spark., • Leadership Experience: Previous experience leading a team of data scientists or engineers. Benefits: • Competitive employee benefits, including comprehensive health insurance, dental and sports coverage, and opportunities for certified training., • Flexibility in work arrangements, including home office options and flexible working hours., • A positive, team-oriented environment that fosters mutual trust, creativity, and initiative., • Opportunities for career growth within a global, innovative framework., • A diverse, multicultural workplace with a strong emphasis on team collaboration and professional development. At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $104,200 - $152,800 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Tiger Data, we turn PostgreSQL into the time-series data backbone for the physical world, from a single sensor to petabytes of machine and operational data,, and cloud providers (AWS, Azure, GCP) are one of the most important levers for scaling that impact. You’ll be responsible for turning clo

Software Engineer, Microsoft Azure Technologies.

ETL/ELT Development, Informatica PowerCenter, Talend, SSIS, SQL, PL/SQL, Data Warehousing, Data Modeling, Source-to-Target Mapping, Data Quality & Validation, Batch Processing, Unix/Linux Shell scripting, Scheduling tools (Control-M), Cloud Platforms (AWS/Azure), CI/CD pipelines, Git, Agile methodol

Seeking a skilled AI Prompt Engineer / AI Solutions Specialist with strong expertise in Microsoft Copilot Studio, Azure OpenAI, and Prompt Engineering to design and implement enterprise-grade Generative AI solutions for banking and financial services use cases.

NET Web API, Microservices Architecture, RESTful APIs, JSON, SQL Server, Entity Framework, LINQ, Azure/AWS, Docker, Kubernetes, CI/CD pipelines, Git, Agile methodologies, Unit Testing (xUnit, NUnit). Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all empl

CGS is seeking a Power BI Developer to join our team in supporting a wide-ranging technical support initiative for a large Federal agency. Develop self-service models, and data analytics using Power BI service. Experience with Microsoft Azure platform and service (Power BI, Flow, Cortana, etc.

Net Core, C#, React, Angular, JavaScript, TypeScript, SQL, CosmosDB, Node. NET, WebApi, Azure, Entity Framework Core, MongoDB, Angular Material, etc. Net platforms using C#, React or Angular, JavaScript, TypeScript, C#, WebAPI, etc.

Strong Kubernetes(K8S) experience required.

Cloud stack, Microsoft Azure etc. Thorough understanding of JSON, REST full API’s & microservices.

Deep expertise in the cloud provider model, including programs like AWS, Azure and Google Marketplaces, Co-Sell motions, and Partner Funding programs. Familiarity with cloud-native architectures, DevOps practices, and enterprise security or development lifecycle solutions is highly desirable. We a

We are seeking a Senior Azure Infrastructure Engineer / Systems Engineer to design, implement, and support enterprise infrastructure across Azure cloud and hybrid on-prem environments. Ensure performance, availability, and scalability of cloud infrastructure. Act as a senior escalation point for com

MLOps), data, and/or software engineer using Python in a production environment. Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models.