8 jobs found

Lead AI Engineer (AI Foundations) 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. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 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 ; 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- 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) 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. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 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 ; 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- 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).

AI Engineer 4 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Sales Territory: $179,400 - $204,700 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- 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).

AI Engineer 4 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Sales Territory: $179,400 - $204,700 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- 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: Regional Strategic Business Development Manager Security Technology Build Executive Relationships. Create Portfolio Opportunities. Accelerate Regional Growth. ECAM is seeking a high-performing Regional Strategic Business Development Manager to drive strategic account growth across the Pacific Northwest region. This role is designed for a consultative sales professional who excels at building executive-level relationships, penetrating regional organizations from the top down, and developing long-term portfolio opportunities that generate recurring revenue across multiple locations. Unlike a traditional territory salesperson focused on individual sites, the Regional Strategic BDM develops relationships with executive decision makers before opportunities exist. This role is responsible for creating regional standards, identifying multi-site opportunities, and positioning ECAM as the preferred security technology partner across regional portfolios. In this role, you'll represent ECAM's portfolio of advanced security technologies including Mobile Surveillance Units (MSUs), Live Video Monitoring (LVM), intelligent CCTV, AI-driven monitoring, and integrated security solutions that reduce risk, improve operational visibility, and protect commercial properties, construction projects, logistics facilities, industrial operations, and critical infrastructure. This is a true hunter role with uncapped earning potential and a unique opportunity to influence strategic growth throughout the Pacific Northwest's largest regional organizations. What's in it for You Competitive Earnings: Base Salary $90 - $110,000.00 On Target Earnings $175,000-$250,000 Hybrid position based in Seattle, WA. Comprehensive medical, dental, vision, life insurance and 401(k) Significant career advancement opportunities within ECAM Travel up to 40% throughout the Pacific Northwest for executive meetings, customer visits and industry events Your Responsibilities as a Regional Strategic Business Development Manager Regional Strategic Account Development Develop and execute strategic account plans targeting regional organizations with significant portfolio and multi-site growth potential. Identify, pursue, and close net-new recurring revenue opportunities for ECAM's security technology solutions. Build executive relationships before site-level opportunities exist. Penetrate target organizations through Operations, Security, Facilities, Asset Management, Risk Management, Procurement, Development, and Executive Leadership. Create executive sponsorship that leads to regional portfolio standards and recurring site-level opportunities. Identify customers with long-term enterprise growth potential and partner with ECAM's National Strategic Sales organization when opportunities expand beyond regional scope. Maintain accurate forecasting, pipeline management, and CRM activity within Salesforce. Successfully achieve progressive monthly quota and KPI expectations. Strategic Sales Leadership Lead complex consultative sales cycles from executive discovery through contract negotiation and close. Develop compelling business cases focused on risk mitigation, operational efficiency, labor reduction, and measurable return on investment. Deliver executive presentations, strategic account reviews, proposals, and RFP responses. Negotiate regional enterprise agreements, multi-site programs, and portfolio-wide security initiatives. Drive executive alignment across multiple customer stakeholders to accelerate organizational adoption. Cross Functional Collaboration Partner closely with Operations, Marketing, Finance, Legal, Engineering, Customer Success, and Implementation teams to ensure successful customer outcomes. Collaborate with traditional Field BDMs to convert executive relationships into individual site opportunities. Partner with the National Strategic Sales organization when regional opportunities evolve into enterprise or national programs. Collaborate with Business Development and Marketing teams to improve strategic account penetration and pipeline conversion. Market Presence Represent ECAM at industry conferences, trade associations, networking events, and executive customer functions. Develop a strong executive presence within the Pacific Northwest's commercial real estate, construction, logistics, infrastructure, industrial, manufacturing, and retail communities. Remain informed on emerging security technologies, competitive trends, evolving customer risk environments, and industry best practices. Your Qualifications Authorized to work in the United States Valid driver's license meeting company insurance requirements 5+ years of strategic B2B sales or enterprise business development experience. Demonstrated success developing executive relationships within regional or multi-site organizations. Proven ability to sell complex technology or recurring service solutions through consultative sales processes. Experience managing long sales cycles involving multiple stakeholders and executive decision makers. History of exceeding quota in recurring revenue sales environments. Experience negotiating regional agreements and long-term commercial contracts. Experience building organizational maps and navigating complex customer organizations. Preferred Experience Existing executive relationships within construction, commercial real estate, industrial, logistics, manufacturing, infrastructure, or security industries. Experience selling portfolio or multi-site programs. Background in security technology, intelligent video surveillance, SaaS, managed services, operational technology, or related solutions. Experience creating executive sponsorship that resulted in regional standards or portfolio-wide deployments. Your Skills and Competencies Executive-level communication and presentation skills Consultative and value-based selling approach Executive relationship development Organizational mapping and stakeholder engagement Strategic account planning Commercial negotiation and business acumen Financial analysis and ROI development Ability to manage long, complex sales cycles Strong CRM discipline and forecasting accuracy Highly self-motivated, competitive, and accountable Ability to influence cross-functional stakeholders without direct authority Performance Expectations Develop and maintain executive relationships across 10-15 Regional Strategic Accounts. Build and manage a multi-million-dollar strategic sales pipeline. Generate recurring site-level opportunities through executive account penetration. Prioritize portfolio and multi-site opportunities over individual site transactions. Achieve progressive Year 1 RMR ramp, reaching $25,000 in monthly recurring revenue by the end of Year 1. Successfully identify opportunities appropriate for partnership with ECAM's National Strategic Sales organization as enterprise expansion opportunities emerge. Drive strategic account acquisition, customer expansion, and long-term regional growth. ECAM: Safeguarding Sites with Innovation ECAM is a leader in security technology and remote surveillance. With a mission to deliver smarter, more efficient security solutions, ECAM protects construction sites, commercial properties, and critical infrastructure with cutting-edge mobile surveillance units, AI-driven monitoring, and professional guard services. Their integrated approach helps clients reduce risk, prevent loss, and maintain peace of mind-24/7. It is the policy of ECAM to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, veteran status, or disability in accordance with applicable federal laws. In addition, ECAM complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment including, but not limited to hiring, placement, assignment, promotion, termination, layoffs, recalls, transfers, leaves of absence, compensation, and training. It is also the policy of ECAM not to honor requests that employees be assigned on the basis of sex or any other classification protected by law, unless such request is based on a bona fide occupational qualification for that assignment.

Job Description: Business Development Manager - Uncapped Commission $175K-$250K OTE Technology-Driven Security Solutions! ECAM is seeking an experienced Business Development Manager to take full ownership of a defined territory and drive profitable new business growth. This role is ideal for a high-performing B2B sales professional who thrives in a full-cycle sales environment-from strategic prospecting and consultative discovery through negotiation and close-while partnering closely with operations, marketing, and sales leadership to ensure a seamless handoff and strong customer outcomes. You'll represent a portfolio of technology-forward security solutions, including CCTV, advanced video surveillance, and live/remote video monitoring, helping organizations reduce risk, prevent loss, and maintain 24/7 peace of mind. This opportunity is well-suited for someone motivated by performance-based earnings, with uncapped commission and an on-target earnings range of $175,000-$250,000 for top performers who are eager to own their results and maximize their earning potential. What's in it for You Competitive salary: $75k base, OTE $175,000 - $250,000 per year Work site location : Portland, OR (This is a hybrid position) Work Schedule : Full-time Comprehensive benefits: medical, dental, and vision insurance plans, 401(k) with employer matching contributions, paid time off (PTO) policy, paid holidays, disability coverage, and life insurance options. Career growth: career growth opportunities at ECAM Travel: Territory coverage with customer-facing time as needed Your Responsibilities as Position Title Own the full new-business sales cycle, prospecting, qualifying, and closing net-new opportunities for ECAM's CCTV, video surveillance, and live/remote video security monitoring solutions. Lead a disciplined, consultative sales process that includes discovery, stakeholder alignment, solution design, and the development of persuasive business cases focused on risk reduction, loss prevention, and operational efficiency. Create and deliver high-impact proposals, RFP responses, and executive-level presentations that position ECAM as a trusted, long-term partner. Maintain accurate pipeline management and forecasting in Salesforce and related tools, ensuring activities, milestones, and next steps are consistently up to date. Develop and execute a strategic territory plan by identifying high-value verticals, prioritizing target accounts, and deploying focused outreach to drive pipeline growth and velocity. Partner closely with operations and internal stakeholders to align expectations, ensure smooth implementation, and deliver a strong post-sale customer experience. Collaborate with Business Development and BDR teams to strengthen go-to-market execution and improve conversion across the funnel. Support additional initiatives and responsibilities as business needs evolve. Your Qualifications Authorized to work in the United States Must possess a valid driver's license and maintain a driving record that meets company vehicle and insurance eligibility standards. 2+ years of B2B business development or sales experience, with a consistent track record of meeting or exceeding quota. Demonstrated ability to navigate complex sales cycles involving multiple stakeholders and decision-makers. Strong CRM discipline (Salesforce preferred) with effective time, territory, and pipeline management skills. A consultative, customer-focused selling style with the credibility to engage senior leaders and the follow-through to close. Experience selling security technology or related B2B solutions such as CCTV, video surveillance, remote monitoring, access control, guarding services, or adjacent offerings. Familiarity with target environments, including construction, commercial real estate, logistics, manufacturing, or critical infrastructure. Experience responding to RFPs and developing ROI or total cost of ownership narratives to support risk mitigation and security investments. Your skills and competencies Strategic Hunter Mentality: Proven ability to identify, pursue, and win net-new business through proactive prospecting, disciplined follow-up, and competitive positioning. Consultative Selling Acumen: Skilled at uncovering customer pain points, aligning solutions to business outcomes, and building compelling value propositions with executive stakeholders. Complex Deal Management: Comfortable managing long, multi-stakeholder sales cycles and navigating procurement, legal, and operational decision-makers. Financial & Business Insight: Ability to articulate ROI, risk mitigation, and total cost of ownership to support investment decisions and close high-value deals. Execution & Accountability: Highly organized, data-driven, and self-motivated, with strong CRM discipline, forecasting accuracy, and ownership of results. ECAM: Safeguarding Sites with Innovation ECAM is a leader in security technology and remote surveillance. With a mission to deliver smarter, more efficient security solutions, ECAM protects construction sites, commercial properties, and critical infrastructure with cutting-edge mobile surveillance units, AI-driven monitoring, and professional guard services. Their integrated approach helps clients reduce risk, prevent loss, and maintain peace of mind-24/7. It is the policy of ECAM to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, veteran status, or disability in accordance with applicable federal laws. In addition, ECAM complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment including, but not limited to hiring, placement, assignment, promotion, termination, layoffs, recalls, transfers, leaves of absence, compensation, and training. It is also the policy of ECAM not to honor requests that employees be assigned on the basis of sex or any other classification protected by law, unless such request is based on a bona fide occupational qualification for that assignment.

Job Description: Regional Strategic Business Development Manager Security Technology Build Executive Relationships. Create Portfolio Opportunities. Accelerate Regional Growth. ECAM is seeking a high-performing Regional Strategic Business Development Manager to drive strategic account growth across the Northeast region. This role is designed for a consultative sales professional who excels at building executive-level relationships, penetrating regional organizations from the top down, and developing long-term portfolio opportunities that generate recurring revenue across multiple locations. Unlike a traditional territory salesperson focused on individual sites, the Regional Strategic BDM develops relationships with executive decision makers before opportunities exist. This role is responsible for creating regional standards, identifying multi-site opportunities, and positioning ECAM as the preferred security technology partner across regional portfolios. In this role, you'll represent ECAM's portfolio of advanced security technologies including Mobile Surveillance Units (MSUs), Live Video Monitoring (LVM), intelligent CCTV, AI-driven monitoring, and integrated security solutions that reduce risk, improve operational visibility, and protect commercial properties, construction projects, logistics facilities, industrial operations, and critical infrastructure. This is a true hunter role with uncapped earning potential and a unique opportunity to influence strategic growth throughout the Northeast Region largest regional organizations. What's in it for You Competitive Earnings: Base Salary $90 - $110,000.00 On Target Earnings $175,000-$250,000 Hybrid position based in Boston, MA. Comprehensive medical, dental, vision, life insurance and 401(k) Significant career advancement opportunities within ECAM Travel up to 40% throughout the Northeast Region for executive meetings, customer visits and industry events Your Responsibilities as a Regional Strategic Business Development Manager Regional Strategic Account Development Develop and execute strategic account plans targeting regional organizations with significant portfolio and multi-site growth potential. Identify, pursue, and close net-new recurring revenue opportunities for ECAM's security technology solutions. Build executive relationships before site-level opportunities exist. Penetrate target organizations through Operations, Security, Facilities, Asset Management, Risk Management, Procurement, Development, and Executive Leadership. Create executive sponsorship that leads to regional portfolio standards and recurring site-level opportunities. Identify customers with long-term enterprise growth potential and partner with ECAM's National Strategic Sales organization when opportunities expand beyond regional scope. Maintain accurate forecasting, pipeline management, and CRM activity within Salesforce. Successfully achieve progressive monthly quota and KPI expectations. Strategic Sales Leadership Lead complex consultative sales cycles from executive discovery through contract negotiation and close. Develop compelling business cases focused on risk mitigation, operational efficiency, labor reduction, and measurable return on investment. Deliver executive presentations, strategic account reviews, proposals, and RFP responses. Negotiate regional enterprise agreements, multi-site programs, and portfolio-wide security initiatives. Drive executive alignment across multiple customer stakeholders to accelerate organizational adoption. Cross Functional Collaboration Partner closely with Operations, Marketing, Finance, Legal, Engineering, Customer Success, and Implementation teams to ensure successful customer outcomes. Collaborate with traditional Field BDMs to convert executive relationships into individual site opportunities. Partner with the National Strategic Sales organization when regional opportunities evolve into enterprise or national programs. Collaborate with Business Development and Marketing teams to improve strategic account penetration and pipeline conversion. Market Presence Represent ECAM at industry conferences, trade associations, networking events, and executive customer functions. Develop a strong executive presence within the Northeast's commercial real estate, construction, logistics, infrastructure, industrial, manufacturing, and retail communities. Remain informed on emerging security technologies, competitive trends, evolving customer risk environments, and industry best practices. Your Qualifications Authorized to work in the United States Valid driver's license meeting company insurance requirements 5+ years of strategic B2B sales or enterprise business development experience. Demonstrated success developing executive relationships within regional or multi-site organizations. Proven ability to sell complex technology or recurring service solutions through consultative sales processes. Experience managing long sales cycles involving multiple stakeholders and executive decision makers. History of exceeding quota in recurring revenue sales environments. Experience negotiating regional agreements and long-term commercial contracts. Experience building organizational maps and navigating complex customer organizations. Preferred Experience Existing executive relationships within construction, commercial real estate, industrial, logistics, manufacturing, infrastructure, or security industries. Experience selling portfolio or multi-site programs. Background in security technology, intelligent video surveillance, SaaS, managed services, operational technology, or related solutions. Experience creating executive sponsorship that resulted in regional standards or portfolio-wide deployments. Your Skills and Competencies Executive-level communication and presentation skills Consultative and value-based selling approach Executive relationship development Organizational mapping and stakeholder engagement Strategic account planning Commercial negotiation and business acumen Financial analysis and ROI development Ability to manage long, complex sales cycles Strong CRM discipline and forecasting accuracy Highly self-motivated, competitive, and accountable Ability to influence cross-functional stakeholders without direct authority Performance Expectations Develop and maintain executive relationships across 10-15 Regional Strategic Accounts. Build and manage a multi-million-dollar strategic sales pipeline. Generate recurring site-level opportunities through executive account penetration. Prioritize portfolio and multi-site opportunities over individual site transactions. Achieve progressive Year 1 RMR ramp, reaching $25,000 in monthly recurring revenue by the end of Year 1. Successfully identify opportunities appropriate for partnership with ECAM's National Strategic Sales organization as enterprise expansion opportunities emerge. Drive strategic account acquisition, customer expansion, and long-term regional growth. ECAM: Safeguarding Sites with Innovation ECAM is a leader in security technology and remote surveillance. With a mission to deliver smarter, more efficient security solutions, ECAM protects construction sites, commercial properties, and critical infrastructure with cutting-edge mobile surveillance units, AI-driven monitoring, and professional guard services. Their integrated approach helps clients reduce risk, prevent loss, and maintain peace of mind-24/7. It is the policy of ECAM to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, veteran status, or disability in accordance with applicable federal laws. In addition, ECAM complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment including, but not limited to hiring, placement, assignment, promotion, termination, layoffs, recalls, transfers, leaves of absence, compensation, and training. It is also the policy of ECAM not to honor requests that employees be assigned on the basis of sex or any other classification protected by law, unless such request is based on a bona fide occupational qualification for that assignment.